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1
Shakhakarmi, Niraj. "Next Generation Wearable Devices." International Journal of Interdisciplinary Telecommunications and Networking 6, no. 2 (April 2014): 25–51. http://dx.doi.org/10.4018/ijitn.2014040102.
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The next generation wearable devices are Smart health monitoring device and Smart sousveillance hat which are capable of using wearable sensors for measuring physiological information, sousveillanace, navigation, as well as smart device to smart device communications over cellular coverage. Smart health monitoring device collect and observe different health related information deploying biosensors and can predict health problems. Smart sousveillance hat provides the brainwaves based fatigue state, training and sousveillance around the wearer. The next generation wearable smart devices deploy the device to device communications in LTE assisted networks with D2D server, D2D Application server and D2D enhanced LTE signalling for D2D service management, spectrum utilization and broad cellular coverage, which make them portable, social, commercial and sustainable. Thus, the wearable device technology will merge with the smart communications besides the health and wellness. Furthermore, the simulation and performance evaluation shows that LTE-D2D wearable smart device communications provides two times more energy efficiency than LTE-UEs cellular communications. The LTE-D2D data rate is also found significantly higher with higher D2D-SINR for lower relative mobility (= 30m/s) and lower D2D distance (<400m) between devices.
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Chakrabarti, Shweta, Nupur Biswas, Lawrence D. Jones, Santosh Kesari, and Shashaanka Ashili. "Smart Consumer Wearables as Digital Diagnostic Tools: A Review." Diagnostics 12, no. 9 (August 31, 2022): 2110. http://dx.doi.org/10.3390/diagnostics12092110.
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The increasing usage of smart wearable devices has made an impact not only on the lifestyle of the users, but also on biological research and personalized healthcare services. These devices, which carry different types of sensors, have emerged as personalized digital diagnostic tools. Data from such devices have enabled the prediction and detection of various physiological as well as psychological conditions and diseases. In this review, we have focused on the diagnostic applications of wrist-worn wearables to detect multiple diseases such as cardiovascular diseases, neurological disorders, fatty liver diseases, and metabolic disorders, including diabetes, sleep quality, and psychological illnesses. The fruitful usage of wearables requires fast and insightful data analysis, which is feasible through machine learning. In this review, we have also discussed various machine-learning applications and outcomes for wearable data analyses. Finally, we have discussed the current challenges with wearable usage and data, and the future perspectives of wearable devices as diagnostic tools for research and personalized healthcare domains.
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Nataliia, MARCHUK, OSIIEVSKA Valentyna, and MIKHAILOVA Halyna. "CLASSIFICATION OF WEARABLE ELECTRONIC DEVICES." INTERNATIONAL SCIENTIFIC-PRACTICAL JOURNAL "COMMODITIES AND MARKETS" 40, no. 4 (December 22, 2021): 68–78. http://dx.doi.org/10.31617/tr.knute.2021(40)07.
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Background. Today smart watches, fitness bracelets, smart rings are must-have accessory for everyone who cares about their health. It is projected that the average annual growth of the wearable device market in 2021–2026 will be 18 %, which is respectively reflected in this segment of the Ukrainian market. Well-known electronics stores use different approaches to group the range of wearable devices, as there are no single standards to classify these products. The aim of this article is to develop a classification of wearable devices and to identify the classification featuresfor smart watches and fitness bracelets based on the analysis of the assortment presented in online stores. Materials and methods. Methods of logical analysis, generalization of scientific literature, statistical data of export and import of wearable devices were applied. Data on their assortment and grouping in well-known retail chains were used to create a classification. Results. Based on the analysis of the world market of electronic goods and the assortment of well-known retail chains, the authors propose a classification of goods related to wearable devices. In particular, there is a division of wearable devices into 7 groups (wrist devices, head devices, smart clothes, smart shoes, smart jewelry, wearable devices, medical devices), these groups include subgroups, categories and subcategories. Only a few types of wearable devices are sold on the Ukrainian market – smart watches, fitness bracelets, virtual reality glasses and smart rings. However, only two retail chains allocate these products separately in the product group "Wearable Products", the others form a large product group "Gadgets…", which according to the authors is not entirely correct, as the latter differ significantly in purpose and characteristics. Since the range of smart watches and fitness bracelets is quite wide and includes hundreds of types, it is proposed to use a number of classification features that clearly distinguish them by their functionality. Conclusion. With the COVID-19 pandemic, the wearable devices market segment will continue to grow. Restrictions on mobility and an individual’s desire to monitor vital signs of their health during a pandemic will be the main factors that will influence the market for these devices. The classification of goods related to wearable devices has been developed. The classification features for smart watches and fitness bracelets, the range of which includes hundreds of types, are proposed. It is established that the main difference between smart watches and a fitness bracelets is a wider functionality of the first and a much longer battery life of the latter.
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Idoga, E. P., and A. I. Adamu. "Understanding Smart Wearable Sensors Technology: Impact on Human Health and Fitness." Journal of Applied Sciences and Environmental Management 24, no. 7 (August 9, 2020): 1261–65. http://dx.doi.org/10.4314/jasem.v24i7.19.
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In the field of health care management, smart wearable devices and its supporting technologies have tremendously made a name all around the globe. Smart watches and other sensor trackers are practically being used by various people and its usage has shown to be accompanied with lots of benefits. This technology was envisaged to play a vital role in the healthcare needs of people; especially with applications in the healthcare sector. The objective of this study, therefore, is to evaluate the technological impact of wearable sensors in human health and fitness (HHF). A web based survey was used for data collection for the period of one month. Emails were sent to registered members of a particular gym who uses any of the smart wearable sensors in keeping fit. The study findings indicate that among the smart wearable devices examined, smart wristwatches (45.6%) appears to be the most commonly used wearable sensor device followed by smart wrist bands (34.7%), smart textiles (10.7%) and smart rings (9.1%). This signifies that a large number of people can effortlessly use SWSs and devices and are optimistic about its support in their daily healthcare/fitness needs. Users are positive on the technological prospects of SWSs and devices; although there is a gap between personal motivation to use wearable devices and trust in the confidentiality and privacy of data generated.
Keywords: Devices, Health, Fitness, Wearable, Sensors
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Nimi W. S., P. Subha Hency Jose, and Jegan R. "Review on Reliable and Quality Wearable Healthcare Device (WHD)." International Journal of Reliable and Quality E-Healthcare 10, no. 4 (October 2021): 1–25. http://dx.doi.org/10.4018/ijrqeh.2021100101.
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This paper presents a brief review on present developments in wearable devices and their importance in healthcare networks. The state-of-the-art system architecture on wearable healthcare devices and their design techniques are reviewed and becomes an essential step towards developing a smart device for various biomedical applications which includes diseases classifications and detection, analyzing nature of the bio signals, vital parameters measurement, and e-health monitoring through noninvasive method. From the review on latest published research papers on medical wearable device and bio signal analysis, it can be concluded that it is more important and very essential to design and develop a smart wearable device in healthcare environment for quality signal acquisition and e-health monitoring which leads to effective measures of multiparameter extractions. This will help the medical practitioners to understand the nature of patient health condition easily by visualizing a quality signal by smart wearable devices.
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Amft, Oliver. "Smart Eyeglasses, e-Textiles, and the Future of Wearable Computing." Advances in Science and Technology 100 (October 2016): 141–50. http://dx.doi.org/10.4028/www.scientific.net/ast.100.141.
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Where a decade a ago mostly visions and bulky carry-on devices existed, today several wearable computing products could be found. For example, activity trackers are already selling in convenience stores. The development does neither mean that the core innovations of the wearable computing vision are realised, nor that there will be any successful wearable device beyond those activity trackers. The product announcements and explorations, such as Google Glass, have identified key challenges that are urging further research investments. The lessons to learn from those recent developments are discussed here, leading to an approach towards multi-function materials and wearable devices. Two projects are described that implement a multi-function approach. In the SimpleSkin project, a generic fabric is developed to realise different sensor functions, controlled via software apps in a Garment OS. The same fabric material is used in smart eyeglasses to realise temple-integrated electrodes. Whereas SimpleSkin aims at skin-attached wearables, the smart eyeglasses developed here closely resemble regular glasses and thus could become publicly accepted wearable accessories. Moving towards wearable technology that is truly embedded into everyday life opens a series of new health support applications that are sketched here, based on the concept of smart eyeglasses.
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Zhang, Yang, Wenyan Sun, and Jia Chen. "Application of Embedded Smart Wearable Device Monitoring in Joint Cartilage Injury and Rehabilitation Training." Journal of Healthcare Engineering 2022 (January 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/4420870.
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Joint injuries cause varying degrees of damage to joint cartilage. The purpose of this paper is to study the application of embedded smart wearable device monitoring in articular cartilage injury and rehabilitation training. This paper studies what an embedded system is and what a smart wearable device is and also introduces the rehabilitation training method of articular cartilage injury. We cited an embedded matching cost algorithm and an improved AD-Census. The joint cartilage damage and rehabilitation training are monitored. Finally, we introduced the types of smart wearable devices and different types of application fields. The results of this paper show that, after an articular cartilage injury, the joint function significantly recovers using the staged exercise rehabilitation training based on embedded smart wearable device monitoring. We concluded that, from 2013 to 2020, smart wearable devices are very promising in the medical field. In 2020, the value will reach 20 million US dollars.
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Xia, Junfei, Shirin Khaliliazar, Mahiar Max Hamedi, and Sameer Sonkusale. "Thread-based wearable devices." MRS Bulletin 46, no. 6 (June 2021): 502–11. http://dx.doi.org/10.1557/s43577-021-00116-1.
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Abstract One-dimensional substrates such as textile fibers and threads offer an excellent opportunity to realize sensors, actuators, energy harvesters/storage, microfluidics, and advanced therapies. A new generation of wearable devices made from smart threads offer ultimate flexibility and seamless integration with the human body and the garments that adorn them. This article reviews the state of the art in thread-based wearable devices for monitoring human activity and performance, diagnoses and manages medical conditions, and provides new and improved human–machine interfaces. In the area of new and improved human–machine interfaces, it discusses novel computing platforms enabled using thread-based electronics and batteries/capacitors. For physical activity monitoring, a review of wearable devices using strain sensing threads is provided. Thread-based devices that can monitor health from biological fluids such as total analysis systems, wearable sweat sensing patches, and smart sutures/smart bandages are also included. The article concludes with an outlook on how fibers and threads are expected to impact and revolutionize the next generation of wearable devices. Knowledge gaps and emerging opportunities are presented. Graphic Abstract
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Yin, Yunlei, Cheng Guo, Hong Li, Hongying Yang, Fan Xiong, and Dongyi Chen. "The Progress of Research into Flexible Sensors in the Field of Smart Wearables." Sensors 22, no. 14 (July 6, 2022): 5089. http://dx.doi.org/10.3390/s22145089.
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In modern society, technology associated with smart sensors made from flexible materials is rapidly evolving. As a core component in the field of wearable smart devices (or ‘smart wearables’), flexible sensors have the advantages of excellent flexibility, ductility, free folding properties, and more. When choosing materials for the development of sensors, reduced weight, elasticity, and wearer’s convenience are considered as advantages, and are suitable for electronic skin, monitoring of health-related issues, biomedicine, human–computer interactions, and other fields of biotechnology. The idea behind wearable sensory devices is to enable their easy integration into everyday life. This review discusses the concepts of sensory mechanism, detected object, and contact form of flexible sensors, and expounds the preparation materials and their applicability. This is with the purpose of providing a reference for the further development of flexible sensors suitable for wearable devices.
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Tabassum, Madeeha, Qasim Zia, Yongfeng Zhou, Yufei Wang, Michael J. Reece, and Lei Su. "A Review of Recent Developments in Smart Textiles Based on Perovskite Materials." Textiles 2, no. 3 (August 16, 2022): 447–63. http://dx.doi.org/10.3390/textiles2030025.
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Metal halide perovskites (MHPs) are thought to be among the most promising materials for smart electronic textiles because of their unique optical and electrical characteristics. Recently, wearable perovskite devices have been developed that combine the excellent properties of perovskite with those of textiles, such as flexibility, light weight, and facile processability. In this review, advancements in wearable perovskite devices (e.g., solar cells, photodetectors, and light-emitting diodes) concerning their device architectures, working mechanisms, and fabrication techniques have been discussed. This study also highlights the technical benefits of integrating MHPs into wearable devices. Moreover, the application challenges faced by wearable perovskite optoelectronic devices—from single devices to roll-to-roll manufacturing, stability and storage, and biosafety—are briefly discussed. Finally, future perspectives on using perovskites for other wearable optoelectronic devices are stated.
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Zavec Pavlinić, Daniela. "Potencijalno nosive elektronike u odnosu na pametni tekstil." Sigurnost 59, no. 3 (October 5, 2017): 219–26. http://dx.doi.org/10.31306/s.59.3.3.
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SUMMARY: Smart textiles are the future. Innovations in the textile and clothing sector (T&C sector) are introducing wearable technologies associated with healthcare, movement and transport. An innovation boom in the wearable textile sector has brought in a range of new products, such as smart gloves with sensors and controls, smart socks with thin blood pressure sensors and smart products that monitor stress and fatigue. Recent technological advances combine apparel technology and textile industry to develop smart wearable devices. These have the capability to interact with the user or the environment, including tracking and communicating data about the user or the environment to other devices through embedded sensors and conductive yarns. The ICT sector has been important for the T&C sector for quite some time and its importance continues to rise. The market for smart textile wearables is expected to grow at a CAGR of 132% between 2016 and 2022.
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Páez-Montoro, Alba, Mario García-Valderas, Emilio Olías-Ruíz, and Celia López-Ongil. "Solar Energy Harvesting to Improve Capabilities of Wearable Devices." Sensors 22, no. 10 (May 23, 2022): 3950. http://dx.doi.org/10.3390/s22103950.
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The market of wearable devices has been growing over the past decades. Smart wearables are usually part of IoT (Internet of things) systems and include many functionalities such as physiological sensors, processing units and wireless communications, that are useful in fields like healthcare, activity tracking and sports, among others. The number of functions that wearables have are increasing all the time. This result in an increase in power consumption and more frequent recharges of the battery. A good option to solve this problem is using energy harvesting so that the energy available in the environment is used as a backup power source. In this paper, an energy harvesting system for solar energy with a flexible battery, a semi-flexible solar harvester module and a BLE (Bluetooth® Low Energy) microprocessor module is presented as a proof-of-concept for the future integration of solar energy harvesting in a real wearable smart device. The designed device was tested under different circumstances to estimate the increase in battery lifetime during common daily routines. For this purpose, a procedure for testing energy harvesting solutions, based on solar energy, in wearable devices has been proposed. The main result obtained is that the device could permanently work if the solar cells received a significant amount of direct sunlight for 6 h every day. Moreover, in real-life scenarios, the device was able to generate a minimum and a maximum power of 27.8 mW and 159.1 mW, respectively. For the wearable system selected, Bindi, the dynamic tests emulating daily routines has provided increases in the state of charge from 19% (winter cloudy days, 4 solar cells) to 53% (spring sunny days, 2 solar cells).
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Sealy, Cordelia. "Graphene unlocks wearable, smart electronic devices." Materials Today 21, no. 5 (June 2018): 464. http://dx.doi.org/10.1016/j.mattod.2018.05.006.
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Koh, Eunhee. "A Study of User Experience on Digital Healthcare Wearable Device." Korea Institute of Design Research Society 7, no. 4 (December 31, 2022): 161–70. http://dx.doi.org/10.46248/kidrs.2022.4.161.
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The digital healthcare wearable market is rapidly developing in the face of the COVID-19 era as an alternative to the face-to-face medical system. The case of healthcare wearable smart ring is analyzed using the digital customer experience evaluation factor regarding the analysis factor of digital user experience. The analysis target is a total of 5 devices currently released.This study first specified digital user experience components to analyze the user experience of digital healthcare devices and presented them as 10 detailed evaluation factors of the existing digital user experience. Second, by examining the theory of the overall digital healthcare device, the characteristics of the overall digital healthcare device including the digital healthcare wearable device were examined. Third, by using the derived digital healthcare evaluation factors, the currently released digital healthcare wearable smart ring was analyzed in terms of digital user experience. As a conclusion, the direction of the functions required based on the user experience of the digital healthcare wearable smart ring in terms of functionalization, personalization, and relationship, which are user experience evaluation factors, was presented.
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Dargazany, Aras R., Paolo Stegagno, and Kunal Mankodiya. "WearableDL: Wearable Internet-of-Things and Deep Learning for Big Data Analytics—Concept, Literature, and Future." Mobile Information Systems 2018 (November 14, 2018): 1–20. http://dx.doi.org/10.1155/2018/8125126.
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This work introduces Wearable deep learning (WearableDL) that is a unifying conceptual architecture inspired by the human nervous system, offering the convergence of deep learning (DL), Internet-of-things (IoT), and wearable technologies (WT) as follows: (1) the brain, the core of the central nervous system, represents deep learning for cloud computing and big data processing. (2) The spinal cord (a part of CNS connected to the brain) represents Internet-of-things for fog computing and big data flow/transfer. (3) Peripheral sensory and motor nerves (components of the peripheral nervous system (PNS)) represent wearable technologies as edge devices for big data collection. In recent times, wearable IoT devices have enabled the streaming of big data from smart wearables (e.g., smartphones, smartwatches, smart clothings, and personalized gadgets) to the cloud servers. Now, the ultimate challenges are (1) how to analyze the collected wearable big data without any background information and also without any labels representing the underlying activity; and (2) how to recognize the spatial/temporal patterns in this unstructured big data for helping end-users in decision making process, e.g., medical diagnosis, rehabilitation efficiency, and/or sports performance. Deep learning (DL) has recently gained popularity due to its ability to (1) scale to the big data size (scalability); (2) learn the feature engineering by itself (no manual feature extraction or hand-crafted features) in an end-to-end fashion; and (3) offer accuracy or precision in learning raw unlabeled/labeled (unsupervised/supervised) data. In order to understand the current state-of-the-art, we systematically reviewed over 100 similar and recently published scientific works on the development of DL approaches for wearable and person-centered technologies. The review supports and strengthens the proposed bioinspired architecture of WearableDL. This article eventually develops an outlook and provides insightful suggestions for WearableDL and its application in the field of big data analytics.
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Castellet, Andreu. "What If Devices Take Command." International Journal of Handheld Computing Research 7, no. 2 (April 2016): 16–33. http://dx.doi.org/10.4018/ijhcr.2016040102.
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The new generation of wearables, marketed as consumer electronics products, can be interpreted as a sign of radical innovation leadership from mobile device producers. Since the appearance of the iPhone –and also later of the iPad-, terminal vendors had lost traction as triggers of innovation within the mobile content ecosystem, giving way to the current platform-based paradigm of leadership. This paper proposes examining the innovation potential of wearable devices on the whole mobile set of actors, starting from a two-scenarios premise: one of sustaining innovation, and a second scenario of more prominent influence. The research finds significant innovating potential for the smart kind of wearables, with a range of influence that can modify the course of all current mobile players. Also, it points at the possibility that a strong development of these items can eventually give birth to a new kind of media, specifically conceived for the wearable experience.
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Paluch, Stefanie, and Sven Tuzovic. "Persuaded self-tracking with wearable technology: carrot or stick?" Journal of Services Marketing 33, no. 4 (August 12, 2019): 436–48. http://dx.doi.org/10.1108/jsm-03-2018-0091.
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Purpose Commercial entities (e.g. health and life insurance, airlines and supermarkets) in different countries have recently begun to introduce wearable technology as part of the consumer journey and as a means of enhancing the business value chain. While a firm’s decision to adopt such new technologies as wearable devices is often based on financial factors such as return on investment, costs and impact on profits, consumers may hold a different attitude toward the value of using smart wearables and sharing their personal data as part of their business-client relationships. The purpose of this paper is to investigate consumer perceptions of and reactions to persuaded self-tracking (PST) – a practice in which businesses actively encourage consumers to monitor, collect and share personal biometric data through wearable technologies in exchange for personalized incentives and rewards. Design/methodology/approach Using a qualitative research approach and a purposeful sampling method, the authors conducted personal in-depth interviews with 24 consumers (both users and non-users of wearable devices). Interviews were recorded and transcribed, resulting in 600 pages of transcripts comprising more than 203,000 words. Data coding and analysis were facilitated by using NVivo. Findings Consumers’ assessment of PST is based on perceived value-in-use, privacy/security concerns and perceived fairness/justice, resulting in four types of reactions to adopt or use PST (embracing, considering, debating and avoiding). Specifically, the authors identified two individual determinants (intrinsic motivation and extrinsic motivation) and four firm-related determinants (design of wearable device, assurance, transparency and controllability) that influence consumer perceptions of PST. Research limitations/implications Results of this study have implications for both vendors of wearable devices and firms trying to leverage smart wearables in their value chains. Identifying consumers’ perceptions, as well as barriers and enablers of acceptance, will help firms to more effectively design and develop wearable device-based services, thus gaining consumer support for using fitness trackers. The primary limitation of the study is that using a thematic analysis method diminishes the generalizability of our findings. Originality/value This study addresses an under-researched area: the integration of wearable technologies in a firm’s value chain through the lens of the consumers. This study is one of the first, according to authors’ knowledge, to investigate consumer perceptions of PST.
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Cui, Hao, and Zhiqiang Peng. "Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China." Mobile Information Systems 2021 (November 5, 2021): 1–8. http://dx.doi.org/10.1155/2021/1537389.
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Although the validity of the physical activity questionnaire is low, the questionnaire is still the most commonly used measurement tool for physical activity research in China in the past 10 years. In the era of big data, research in the field of physical activity in China needs to be more effective, economical, convenient, and suitable for long-term, large-sample research tools. Acceleration detection technology, heart rate detection technology, and GPS technology are the mainstream technologies for measuring the energy consumption of physical activity in wearable devices. The application of data mining and machine learning methods further enhances the validity of the test. Domestic smart wearable devices are not effective in estimating energy consumption but still have a large space for technical improvement. Smart wearable devices have a very broad application prospect in the field of big data research in physical activity. The impact of smart wearable device technology and big data analysis methods on physical activity research will be far-reaching and may lead to major changes in research concepts, research tools, and data analysis methods.
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Jeng, Mei-Yuan, Fan-Yun Pai, and Tsu-Ming Yeh. "Antecedents for Older Adults’ Intention to Use Smart Health Wearable Devices-Technology Anxiety as a Moderator." Behavioral Sciences 12, no. 4 (April 18, 2022): 114. http://dx.doi.org/10.3390/bs12040114.
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The increase in the demands for surveillance of chronic diseases, long-term care, and self-health management has allowed mobile smart health wearable devices to become products with greater business potential in past years. Wearable devices being able to be worn for long periods are the most suitable for 24-h weatherproof monitoring. Nevertheless, most technological products are not developed specifically for older adults. Older adults might be apprehensive and fearful about the use of technological equipment and might appear “technologically anxious”, so it was wondered whether older adults could smoothly operate and comfortably use smart wearable device products, and how “technological anxiety” would affect their behavior and attitude towards using these devices. The variables of “technology readiness”, “technological interactivity”, “perceived usefulness”, “perceived ease of use”, “attitude”, and “intention to use” are therefore discussed in this study. Taking “technological anxiety” as the moderating variable to develop the questionnaire scale, the quantitative research with structural equation model is applied to discuss the older adults’ intention to use smart health wearable devices. The questionnaire was distributed to older adults’ community care centers, senior centers, and senior learning centers in Taiwan, and to an older adults’ group above the age of 60 with experience in using smart bracelets. A total of 200 questionnaires were distributed, and 183 were retrieved, with 166 valid copies. The research results reveal that users with higher technology readiness, and older adult users with higher technological interactivity, present a higher perceived ease of use and perceived usefulness. Technological anxiety would affect users’ attitude and further influence the intention to use. The research results could help understand older adults’ needs for using smart health wearable devices.
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Sankaran, Ajay. "A Triband Antenna for Smart Wearable Devices." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (May 31, 2018): 2581–84. http://dx.doi.org/10.22214/ijraset.2018.5421.
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An, Byeong Wan, Jung Hwal Shin, So-Yun Kim, Joohee Kim, Sangyoon Ji, Jihun Park, Youngjin Lee, et al. "Smart Sensor Systems for Wearable Electronic Devices." Polymers 9, no. 12 (July 25, 2017): 303. http://dx.doi.org/10.3390/polym9080303.
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Ho Kim, Jung. "Focus on nanogenerators: toward smart wearable devices." Science and Technology of Advanced Materials 21, no. 1 (January 31, 2020): 422–23. http://dx.doi.org/10.1080/14686996.2020.1786949.
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Ghosh, Arnab, Sagnik Nag, Alyssa Gomes, Apurva Gosavi, Gauri Ghule, Aniket Kundu, Buddhadev Purohit, and Rohit Srivastava. "Applications of Smart Material Sensors and Soft Electronics in Healthcare Wearables for Better User Compliance." Micromachines 14, no. 1 (December 31, 2022): 121. http://dx.doi.org/10.3390/mi14010121.
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The need for innovation in the healthcare sector is essential to meet the demand of a rapidly growing population and the advent of progressive chronic ailments. Over the last decade, real-time monitoring of health conditions has been prioritized for accurate clinical diagnosis and access to accelerated treatment options. Therefore, the demand for wearable biosensing modules for preventive and monitoring purposes has been increasing over the last decade. Application of machine learning, big data analysis, neural networks, and artificial intelligence for precision and various power-saving approaches are used to increase the reliability and acceptance of smart wearables. However, user compliance and ergonomics are key areas that need focus to make the wearables mainstream. Much can be achieved through the incorporation of smart materials and soft electronics. Though skin-friendly wearable devices have been highlighted recently for their multifunctional abilities, a detailed discussion on the integration of smart materials for higher user compliance is still missing. In this review, we have discussed the principles and applications of sustainable smart material sensors and soft electronics for better ergonomics and increased user compliance in various healthcare devices. Moreover, the importance of nanomaterials and nanotechnology is discussed in the development of smart wearables.
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Khondakar, Kamil Reza, and Ajeet Kaushik. "Role of Wearable Sensing Technology to Manage Long COVID." Biosensors 13, no. 1 (December 31, 2022): 62. http://dx.doi.org/10.3390/bios13010062.
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Long COVID consequences have changed the perception towards disease management, and it is moving towards personal healthcare monitoring. In this regard, wearable devices have revolutionized the personal healthcare sector to track and monitor physiological parameters of the human body continuously. This would be largely beneficial for early detection (asymptomatic and pre-symptomatic cases of COVID-19), live patient conditions, and long COVID monitoring (COVID recovered patients and healthy individuals) for better COVID-19 management. There are multitude of wearable devices that can observe various human body parameters for remotely monitoring patients and self-monitoring mode for individuals. Smart watches, smart tattoos, rings, smart facemasks, nano-patches, etc., have emerged as the monitoring devices for key physiological parameters, such as body temperature, respiration rate, heart rate, oxygen level, etc. This review includes long COVID challenges for frequent monitoring of biometrics and its possible solution with wearable device technologies for diagnosis and post-therapy of diseases.
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Srivastav, Vishesh. "Smart Wearable Device." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 910–17. http://dx.doi.org/10.22214/ijraset.2021.34318.
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Dong, Mingjie, Bin Fang, Jianfeng Li, Fuchun Sun, and Huaping Liu. "Wearable sensing devices for upper limbs: A systematic review." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 235, no. 1 (September 4, 2020): 117–30. http://dx.doi.org/10.1177/0954411920953031.
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Wearable sensing devices, which are smart electronic devices that can be worn on the body as implants or accessories, have attracted much research interest in recent years. They are rapidly advancing in terms of technology, functionality, size, and real-time applications along with the fast development of manufacturing technologies and sensor technologies. By covering some of the most important technologies and algorithms of wearable devices, this paper is intended to provide an overview of upper-limb wearable device research and to explore future research trends. The review of the state-of-the-art of upper-limb wearable technologies involving wearable design, sensor technologies, wearable computing algorithms and wearable applications is presented along with a summary of their advantages and disadvantages. Toward the end of this paper, we highlight areas of future research potential. It is our goal that this review will guide future researchers to develop better wearable sensing devices for upper limbs.
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Ma, Xiaochun. "Teaching Mode of Augmented Reality College English Listening and Speaking Supported by Wearable Technology." Wireless Communications and Mobile Computing 2022 (May 9, 2022): 1–10. http://dx.doi.org/10.1155/2022/2181512.
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With the development of modern technology, wearable technology has become more and more popular in the actual college English listening and speaking teaching mode. Wearable devices, as the name suggests, are smart electronic products that can be worn on the human body, such as smart glasses, smart watches, smart rings and smart clothing. Smart watches and ordinary electronic products are very different from wearable devices. Wearable devices give us a more intelligent and technological experience. Wearable technology has brought new changes and challenges to the realistic college English listening and speaking teaching mode. Wearable technology has become a hot topic and frontier in the field of science and technology. It has been widely used in education, medical, and industrial fields. It provides unprecedented convenience for people to learn, work, and live. Augmented reality technology is a kind of technology that skillfully integrates virtual information with the real world. After the simulation of computer-generated text, images, 3D models, music, video, and other virtual information, it is applied to the real world, and the two kinds of information complement each other, thus realizing the “enhancement” of the real world. This paper gives a brief overview of the definition of wearable technology, the classification, and main features of wearable technology and combines it with college English listening and speaking teaching mode to improve the classroom learning effect. Through the questionnaire survey, we know that wearable technology is a teacher’s teaching, and students’ learning provides great convenience. Wearable technology greatly enhances the learning and listening fun of students.
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Prieto-Avalos, Guillermo, Nancy Aracely Cruz-Ramos, Giner Alor-Hernández, José Luis Sánchez-Cervantes, Lisbeth Rodríguez-Mazahua, and Luis Rolando Guarneros-Nolasco. "Wearable Devices for Physical Monitoring of Heart: A Review." Biosensors 12, no. 5 (May 2, 2022): 292. http://dx.doi.org/10.3390/bios12050292.
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Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective strategy to mitigate the burden of CVDs has been to monitor patients’ biomedical variables during daily activities with wearable technology. Nowadays, technological advance has contributed to wearables technology by reducing the size of the devices, improving the accuracy of sensing biomedical variables to be devices with relatively low energy consumption that can manage security and privacy of the patient’s medical information, have adaptability to any data storage system, and have reasonable costs with regard to the traditional scheme where the patient must go to a hospital for an electrocardiogram, thus contributing a serious option in diagnosis and treatment of CVDs. In this work, we review commercial and noncommercial wearable devices used to monitor CVD biomedical variables. Our main findings revealed that commercial wearables usually include smart wristbands, patches, and smartwatches, and they generally monitor variables such as heart rate, blood oxygen saturation, and electrocardiogram data. Noncommercial wearables focus on monitoring electrocardiogram and photoplethysmography data, and they mostly include accelerometers and smartwatches for detecting atrial fibrillation and heart failure. However, using wearable devices without healthy personal habits will cause disappointing results in the patient’s health.
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Giacomini, Renato, and Jéssica Maia Piccirillo. "E-textiles prototypes and applications on wearable devices." Journal of Textile Engineering & Fashion Technology 7, no. 5 (October 21, 2021): 169–71. http://dx.doi.org/10.15406/jteft.2021.07.00285.
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This scientific research has the purpose of studying conductive textiles, also known as "smart" textiles. At the ending of the study, we performed the assembly of functional prototypes to give the technology proof of concept to further studies. Between these prototypes are the "smart" jacket, the "smart" pillow, and the "smart" t-shirt. All of these prototypes have electronic devices integrated with conductive textile fabrics and yarns. The functionality of the prototypes involves the obtained vital signals from the user's body, such as heartbeat, and identification of the "touch" made by the user's hand to send commands to a computer or a cellphone screen.
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Hidayat-ur-Rehman, Imdadullah, Arshad Ahmad, Fahim Akhter, and Mohd Ziaur Rehman. "Examining Consumers’ Adoption of Smart Wearable Payments." SAGE Open 12, no. 3 (July 2022): 215824402211177. http://dx.doi.org/10.1177/21582440221117796.
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Smart wearable (SW) devices have attracted the users’ attention and their utility has been increasingly employed in different arenas of life. Of late, it is expected that wearable payments will be the norm of mobile payments soon. Recognizing the SW payments as an emerging innovation, this study investigates the consumers’ adoption of SW payments. A survey method was used to collect data from SW devices users in Saudi Arabia. For this purpose, online questionnaires were distributed and a total of 269 responses were received within that 243 operational cases were used for data analysis. Partial least squares structural equation modeling (PLS-SEM) technique was employed to analyze the data. The statistical tools employed for data analysis are SmartPLS 3.0 and SPSS23. The findings show that all hypothesized relationships were supported except the compatibility and perceived ease of use relationship which was found insignificant. Additionally, the moderating role of personal innovativeness on behavioral intention and actual use relationship was also confirmed. Although TAM is an established robust model of technology adoption, however, the integration of technological features like (perceived esthetics, compatibility, and convenience) make it a more vigorous model for adoption of the smart wearable device.
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Chang, Chiao-Chen. "Exploring the Usage Intentions of Wearable Medical Devices: A Demonstration Study." Interactive Journal of Medical Research 9, no. 3 (September 18, 2020): e19776. http://dx.doi.org/10.2196/19776.
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Background In the face of an aging society, an immediate and preventive medical system urgently needs to be established, and the application of wearable devices is essential. However, the application of smart medical care in Taiwan is still not widespread, and few studies have explored the related issues of wearable medical device usage. Thus, determining the success of a wearable medical device mainly depends on the degree of user adoption and use. Objective The purpose of this study was to examine the factors that influence the intention to use wearable medical devices. Methods This study applied the unified theory of acceptance and use of technology (UTAUT) to build a comprehensive model that explains intentions to use wearable medical devices. Results The research findings showed that health consciousness and trust were the strongest predictors of intentions to use wearable medical devices. Conclusions The results reveal the magnitudes of the impacts of the variables in a well-accepted revised UTAUT model in the context of the medical industry, particularly in the setting of wearable medical devices. Several important implications for academics and industry decision-makers can be formulated from these results.
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Orlando, Giorgio, Yeliz Prior, Neil D. Reeves, and Loretta Vileikyte. "Patient and Provider Perspective of Smart Wearable Technology in Diabetic Foot Ulcer Prevention: A Systematic Review." Medicina 57, no. 12 (December 13, 2021): 1359. http://dx.doi.org/10.3390/medicina57121359.
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Background and Objectives: Smart wearable devices are effective in diabetic foot ulcer (DFU) prevention. However, factors determining their acceptance are poorly understood. This systematic review aims to examine the literature on patient and provider perspectives of smart wearable devices in DFU prevention. Materials and Methods: PubMed, Scopus, and Web of Science were systematically searched up to October 2021. The selected articles were assessed for methodological quality using the quality assessment tool for studies with diverse designs. Results: A total of five articles were identified and described. The methodological quality of the studies ranged from low to moderate. Two studies employed a quantitative study design and focused on the patient perspective, whereas three studies included a mixed, quantitative/qualitative design and explored patient or provider (podiatrist) perspectives. Four studies focused on an insole system and one included a smart sock device. The quantitative studies demonstrated that devices were comfortable, well designed and useful in preventing DFU. One mixed design study reported that patients did not intend to adopt an insole device in its current design because of malfunctions, a lack of comfort. and alert intrusiveness, despite the general perception that the device was a useful tool for foot risk monitoring. Two mixed design studies found that performance expectancy was a predictor of a podiatrist’s behavioural intention to recommend an insole device in clinical practice. Disappointing participant experiences negatively impacted the podiatrists’ intention to adopt a smart device. The need for additional refinements of the device was indicated by patients and providers before its use in this population. Conclusions: The current evidence about patient and provider perspectives on smart wearable technology is limited by scarce methodological quality and conflicting results. It is, thus, not possible to draw definitive conclusions regarding acceptability of these devices for the prevention of DFU in people with diabetes.
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Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, and Ali Raad. "Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review." Sensors 23, no. 2 (January 11, 2023): 828. http://dx.doi.org/10.3390/s23020828.
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Background: The advancement of information and communication technologies and the growing power of artificial intelligence are successfully transforming a number of concepts that are important to our daily lives. Many sectors, including education, healthcare, industry, and others, are benefiting greatly from the use of such resources. The healthcare sector, for example, was an early adopter of smart wearables, which primarily serve as diagnostic tools. In this context, smart wearables have demonstrated their effectiveness in detecting and predicting cardiovascular diseases (CVDs), the leading cause of death worldwide. Objective: In this study, a systematic literature review of smart wearable applications for cardiovascular disease detection and prediction is presented. After conducting the required search, the documents that met the criteria were analyzed to extract key criteria such as the publication year, vital signs recorded, diseases studied, hardware used, smart models used, datasets used, and performance metrics. Methods: This study followed the PRISMA guidelines by searching IEEE, PubMed, and Scopus for publications published between 2010 and 2022. Once records were located, they were reviewed to determine which ones should be included in the analysis. Finally, the analysis was completed, and the relevant data were included in the review along with the relevant articles. Results: As a result of the comprehensive search procedures, 87 papers were deemed relevant for further review. In addition, the results are discussed to evaluate the development and use of smart wearable devices for cardiovascular disease management, and the results demonstrate the high efficiency of such wearable devices. Conclusions: The results clearly show that interest in this topic has increased. Although the results show that smart wearables are quite accurate in detecting, predicting, and even treating cardiovascular disease, further research is needed to improve their use.
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Liang, Jia-Ming, Wei-Cheng Su, Yu-Lin Chen, Shih-Lin Wu, and Jen-Jee Chen. "Smart Interactive Education System Based on Wearable Devices." Sensors 19, no. 15 (July 24, 2019): 3260. http://dx.doi.org/10.3390/s19153260.
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Due to the popularity of smart devices, traditional one-way teaching methods might not deeply attract school students’ attention, especially for the junior high school students, elementary school students, or even younger students, which is a critical issue for educators. Therefore, we develop an intelligent interactive education system, which leverages wearable devices (smart watches) to accurately capture hand gestures of school students and respond instantly to teachers so as to increase the interaction and attraction of school students in class. In addition, through multiple physical information of school students from the smart watch, it can find out the crux points of the learning process according to the deep data analysis. In this way, it can provide teachers to make instant adjustments and suggest school students to achieve multi-learning and innovative thinking. The system is mainly composed of three components: (1) smart interactive watch; (2) teacher-side smart application (App); and (3) cloud-based analysis system. Specifically, the smart interactive watch is responsible for detecting the physical information and interaction results of school students, and then giving feedback to the teachers. The teacher-side app will provide real-time learning suggestions to adjust the teaching pace to avoid learning disability. The cloud-based analysis system provides intelligent learning advices, academic performance prediction and anomaly learning detection. Through field trials, our system has been verified that can potentially enhance teaching and learning processes for both educators and school students.
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Hu, Luhing, Beom Jin Kim, Seunghyeon Ji, Juyeong Hong, Ajit K. Katiyar, and Jong-Hyun Ahn. "Smart electronics based on 2D materials for wireless healthcare monitoring." Applied Physics Reviews 9, no. 4 (December 2022): 041308. http://dx.doi.org/10.1063/5.0104873.
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The demand for wearable electronics in the fields of human healthcare monitoring and disease diagnosis has significantly increased in recent years. In particular, there is a need for light-weight, skin-friendly, soft elastic devices that can attach comfortably to human skin and communicate information via the Internet of Things. Rigorous research has been carried out to find new materials and device designs that can meet the challenging demands of skin-mountable devices. The emergence of atomically thin two-dimensional (2D) materials with exceptional electrical, optical, and mechanical properties, and low cytotoxicity has facilitated the fabrication of low-dimensional electronic devices on flexible/stretchable platforms that can be easily integrated into the human body. Herein, we provide a comprehensive review of recent research progress on 2D material-based wearable sensors that are proposed for a wide range of applications including human health monitoring. Several potential applications based on wearable electronic devices have already been well established and documented, while many others are at a preliminary stage. Based on current research progress, the challenges and prospects toward commercial implementation of such clinical sensors are also discussed.
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Nanjappan, Vijayakumar, Rongkai Shi, Hai-Ning Liang, Haoru Xiao, Kim King-Tong Lau, and Khalad Hasan. "Design of Interactions for Handheld Augmented Reality Devices Using Wearable Smart Textiles: Findings from a User Elicitation Study." Applied Sciences 9, no. 15 (August 5, 2019): 3177. http://dx.doi.org/10.3390/app9153177.
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Advanced developments in handheld devices’ interactive 3D graphics capabilities, processing power, and cloud computing have provided great potential for handheld augmented reality (HAR) applications, which allow users to access digital information anytime, anywhere. Nevertheless, existing interaction methods are still confined to the touch display, device camera, and built-in sensors of these handheld devices, which suffer from obtrusive interactions with AR content. Wearable fabric-based interfaces promote subtle, natural, and eyes-free interactions which are needed when performing interactions in dynamic environments. Prior studies explored the possibilities of using fabric-based wearable interfaces for head-mounted AR display (HMD) devices. The interface metaphors of HMD AR devices are inadequate for handheld AR devices as a typical HAR application require users to use only one hand to perform interactions. In this paper, we aim to investigate the use of a fabric-based wearable device as an alternative interface option for performing interactions with HAR applications. We elicited user-preferred gestures which are socially acceptable and comfortable to use for HAR devices. We also derived an interaction vocabulary of the wrist and thumb-to-index touch gestures, and present broader design guidelines for fabric-based wearable interfaces for handheld augmented reality applications.
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Xu, Xiangyun, and Wei Ma. "The regulation of the body by smart wearable devices and their social risk progression." Wearable Technology 2, no. 1 (June 16, 2022): 60. http://dx.doi.org/10.54517/wt.v2i1.1656.
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<p>Smart wearable devices, as one of the directions of smart terminal development, show great potential for application and penetrate into all aspects of social life. In the application of smart wearable devices, the features of body discipline such as obtaining body data precisely to complete quantified self, human–computer interaction from explicit interaction to implicit interaction, and monitoring of the body from expert dependence to technological dependence and the new human–computer relationship hidden behind them are increasingly highlighted, and the social risk concerns of smart wearable device application will also come into play, which will lead to personal privacy leakage and technological risks. The social risks arising from the disclosure of personal privacy and technological risks, the loss of human subjectivity and the degradation of working capacity, the distortion of social life and the difficulties of social interaction, the deepening of the digital divide and the widening gap between the rich and the poor, the formation of a “digital leviathan” and the potential for public safety, etc., should be of sufficient concern to society.</p>
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Wu, Tsu-Yang, Lei Yang, Qian Meng, Xinglan Guo, and Chien-Ming Chen. "Fog-Driven Secure Authentication and Key Exchange Scheme for Wearable Health Monitoring System." Security and Communication Networks 2021 (October 6, 2021): 1–14. http://dx.doi.org/10.1155/2021/8368646.
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Smart wearable devices, as a popular mobile device, have a broad market. Smart wearable medical devices implemented in wearable health monitoring systems can monitor the data pertaining to a patient’s body and let the patient know their own physical condition. In addition, these data can be stored, analyzed, and processed in the cloud to effectively prevent diseases. As an Internet-of-things technology, fog computing can process, store, and control data around devices in real time. However, the distributed attributes of fog nodes make the monitored body data and medical reports at risk of privacy disclosure. In this paper, we propose a fog-driven secure authentication and key exchange scheme for wearable health monitoring systems. Furthermore, we conduct a formal analysis using the Real-Oracle-Random model, Burrows–Abadi–Needham logic, and ProVerif tools and an informal analysis to perform security verification. Finally, a performance comparison with other related schemes shows that the proposed scheme has the best advantages in terms of security, computing overhead, and communication cost.
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Chika, Yinka-Banjo, and Salau Abiola Adekunle. "SMART FABRICS-WEARABLE TECHNOLOGY." International Journal of Engineering Technologies and Management Research 4, no. 10 (February 5, 2020): 78–98. http://dx.doi.org/10.29121/ijetmr.v4.i10.2017.109.
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Smart fabrics, generally regarded as smart Textiles are fabrics that have embedded electronics and interconnections woven into them, resulting in physical flexibility that is not achievable with other known electronic manufacturing techniques. Interconnections and components are intrinsic to the fabric therefore are not visible and less susceptible of getting tangled by surrounding objects. Smart fabrics can also more easily adapt to quick changes in the sensing and computational requirements of any specific application, this feature being useful for power management and context awareness. For electronic systems to be part of our day-to-day outfits such electronic devices need to conform to requirements as regards wear-ability, this is the vision of wearable technology. Wearable systems are characterized by their capability to automatically identify the activity and the behavioral status of their wearer as well as of the situation around them, and to use this information to adjust the systems' configuration and functionality. This write-up focused on recent developments in the field of Smart Fabrics and pays particular attention to the materials and their manufacturing techniques.
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Wu, Wenzhuo. "(Invited) Hybrid Nanomanufacturing of Heterostructured Wearable Devices for Self-powered Smart Wearables." ECS Meeting Abstracts MA2020-02, no. 69 (November 23, 2020): 3712. http://dx.doi.org/10.1149/ma2020-02693712mtgabs.
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Moon, Nathan W., Paul MA Baker, and Kenneth Goughnour. "Designing wearable technologies for users with disabilities: Accessibility, usability, and connectivity factors." Journal of Rehabilitation and Assistive Technologies Engineering 6 (January 2019): 205566831986213. http://dx.doi.org/10.1177/2055668319862137.
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The increasing availability of wearable devices (wearables), “smart” home, and other next-generation wirelessly connected devices for work, home, and leisure presents opportunities and challenges for users with disabilities. As augmentative tools for engagement, control, and information, these technologies should not only be usable, but also be accessible and inclusive for people with disabilities. In order to better capture the dimensions of inclusivity of wearable devices, the authors have conducted a review of pertinent literature with respect to a range of representative applications and examples of currently available technologies. Drawing on the findings of the review, the aim of this article is to explore the potential impact of inclusive design principles on future device development for users with disabilities. These observations can help designers incorporate inclusive perspectives into the development process. Such an approach, where people with disabilities constitute an integral part of the development process, will yield products and services that can facilitate increased accessibility, independence, and community participation.
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Cheng, Keren, Yang Li, Wenye Yang, Kai Liang, Zhen Jiao, and Xuechuan Song. "Application Research of Inspection System Based on Intelligent Wearable Device in Communication Power Inspection." Journal of Physics: Conference Series 2401, no. 1 (December 1, 2022): 012081. http://dx.doi.org/10.1088/1742-6596/2401/1/012081.
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Abstract In order to effectively reduce the difficulty in communication power inspection and further improve the inspection efficiency of inspectors, this paper designs an inspection system based on smart wearable devices. Firstly, based on the analysis of the inspection task requirements of the communication power inspection, the overall structure of the wearable device intelligent inspection system is constructed, and the application of the wearable device intelligent inspection system in power engineering is studied; secondly, according to the inspection situation of the inspection personnel in the traditional inspection method, the key technical composition of the multi-functional inspection intelligent observation wearable lens is designed, and the key texture feature extraction technology of the communication power supply is used to locate the specific image target in the inspection process, and detect the local area. The abnormal sound is discharged, abnormal sound training and identification are completed, and intelligent inspection of the communication power supply is realized. Finally, it is verified by test experiments that the inspection system based on smart wearable devices designed in this paper can realize information transmission, task configuration, and data access in communication power inspection, with high work efficiency.
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Lu, Lin, Jiayao Zhang, Yi Xie, Fei Gao, Song Xu, Xinghuo Wu, and Zhewei Ye. "Wearable Health Devices in Health Care: Narrative Systematic Review." JMIR mHealth and uHealth 8, no. 11 (November 9, 2020): e18907. http://dx.doi.org/10.2196/18907.
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Background With the rise of mobile medicine, the development of new technologies such as smart sensing, and the popularization of personalized health concepts, the field of smart wearable devices has developed rapidly in recent years. Among them, medical wearable devices have become one of the most promising fields. These intelligent devices not only assist people in pursuing a healthier lifestyle but also provide a constant stream of health care data for disease diagnosis and treatment by actively recording physiological parameters and tracking metabolic status. Therefore, wearable medical devices have the potential to become a mainstay of the future mobile medical market. Objective Although previous reviews have discussed consumer trends in wearable electronics and the application of wearable technology in recreational and sporting activities, data on broad clinical usefulness are lacking. We aimed to review the current application of wearable devices in health care while highlighting shortcomings for further research. In addition to daily health and safety monitoring, the focus of our work was mainly on the use of wearable devices in clinical practice. Methods We conducted a narrative review of the use of wearable devices in health care settings by searching papers in PubMed, EMBASE, Scopus, and the Cochrane Library published since October 2015. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Results A total of 82 relevant papers drawn from 960 papers on the subject of wearable devices in health care settings were qualitatively analyzed, and the information was synthesized. Our review shows that the wearable medical devices developed so far have been designed for use on all parts of the human body, including the head, limbs, and torso. These devices can be classified into 4 application areas: (1) health and safety monitoring, (2) chronic disease management, (3) disease diagnosis and treatment, and (4) rehabilitation. However, the wearable medical device industry currently faces several important limitations that prevent further use of wearable technology in medical practice, such as difficulties in achieving user-friendly solutions, security and privacy concerns, the lack of industry standards, and various technical bottlenecks. Conclusions We predict that with the development of science and technology and the popularization of personalized health concepts, wearable devices will play a greater role in the field of health care and become better integrated into people’s daily lives. However, more research is needed to explore further applications of wearable devices in the medical field. We hope that this review can provide a useful reference for the development of wearable medical devices.
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Kao, Yu-Sheng, Kazumitsu Nawata, and Chi-Yo Huang. "An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers." International Journal of Environmental Research and Public Health 16, no. 18 (September 4, 2019): 3227. http://dx.doi.org/10.3390/ijerph16183227.
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In recent years, IoT (Internet of Things)-based smart devices have penetrated a wide range of markets, including connected health, smart home, and wearable devices. Among the IoT-based smart devices, wearable fitness trackers are the most widely diffused and adopted IoT based devices. Such devices can monitor or track the physical activity of the person wearing them. Although society has benefitted from the conveniences provided by IoT-based wearable fitness trackers, few studies have explored the factors influencing the adoption of such technology. Furthermore, one of the most prevalent issues nowadays is the large attrition rate of consumers no longer wearing their device. Consequently, this article aims to define an analytic framework that can be used to explore the factors that influence the adoption of IoT-based wearable fitness trackers. In this article, the constructs for evaluating these factors will be explored by reviewing extant studies and theories. Then, these constructs are further evaluated based on experts’ consensus using the modified Delphi method. Based on the opinions of experts, the analytic framework for deriving an influence relationship map (IRM) is derived using the decision-making trial and evaluation laboratory (DEMATEL). Finally, based on the IRM, the behaviors adopted by mass customers toward IoT-based wearable fitness trackers are confirmed using the partial least squares (PLS) structural equation model (SEM) approach. The proposed analytic framework that integrates the DEMATEL and PLS-SEM was verified as being a feasible research area by empirical validation that was based on opinions provided by both Taiwanese experts and mass customers. The proposed analytic method can be used in future studies of technology marketing and consumer behaviors.
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Jeng, Mei-Yuan, Tsu-Ming Yeh, and Fan-Yun Pai. "Analyzing Older Adults’ Perceived Values of Using Smart Bracelets by Means–End Chain." Healthcare 8, no. 4 (November 18, 2020): 494. http://dx.doi.org/10.3390/healthcare8040494.
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To cope with the demands for medical care in an aging society, smart healthcare wearable devices that can measure physiological signals are being regarded as the primary tools in medical care programs, allowing the users to acquire basic health data. Although the smart healthcare wearable devices could be applied to disease management and prevention that could help older adults control their health, older adults must be willing and able to use and continue to use them. In this research, interviews conducted through means–end chain (MEC) and laddering were used to guide the older adults step-by-step by explaining abstract ideas and emphasizing value in their perceptions of specific attributes. A “hierarchical value map” was further constructed to confirm the perceived value of smart healthcare wearable devices to older adults. The research results showed that, in terms of attribute functions, seniors believed that smart bracelets in mobile health devices should have the attributes of safe use, real-time information feedback, correct data, comfortable wear, and clear screen. In terms of consequent benefits, older adults can use smart bracelets in mobile health devices to gain benefits in learning about smart products, understanding technology applications, increasing health awareness and relaxation, and satisfying curiosity. In terms of value goals, older adults want to achieve the value goals of a sense of social belonging, improved quality of life, and healthier bodies. Health is the most important thing for older adults, but previous research has often focused on the use of equipment for physical examinations; relatively few studies have allowed older adults to experience the equipment personally. The device can provide the ultimate value of long-term health promotion for older adults.
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Hiware, Karan. "IoT-Enabled Smart Wearable Devices: A Short Review." International Journal for Research in Applied Science and Engineering Technology 8, no. 7 (July 31, 2020): 2120–34. http://dx.doi.org/10.22214/ijraset.2020.30779.
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Adapa, Apurva, Fiona Fui-Hoon Nah, Richard H. Hall, Keng Siau, and Samuel N. Smith. "Factors Influencing the Adoption of Smart Wearable Devices." International Journal of Human–Computer Interaction 34, no. 5 (September 14, 2017): 399–409. http://dx.doi.org/10.1080/10447318.2017.1357902.
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Wang, Lili, Zheng Lou, Kai Jiang, and Guozhen Shen. "Bio‐Multifunctional Smart Wearable Sensors for Medical Devices." Advanced Intelligent Systems 1, no. 5 (August 15, 2019): 1900040. http://dx.doi.org/10.1002/aisy.201900040.
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Aziz Shah, Syed, Jawad Ahmad, Ahsen Tahir, Fawad Ahmed, Gordon Russell, Syed Yaseen Shah, William J. Buchanan, and Qammer H. Abbasi. "Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication." Micromachines 11, no. 4 (April 3, 2020): 379. http://dx.doi.org/10.3390/mi11040379.
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Nano-scaled structures, wireless sensing, wearable devices, and wireless communications systems are anticipated to support the development of new next-generation technologies in the near future. Exponential rise in future Radio-Frequency (RF) sensing systems have demonstrated its applications in areas such as wearable consumer electronics, remote healthcare monitoring, wireless implants, and smart buildings. In this paper, we propose a novel, non-wearable, device-free, privacy-preserving Wi-Fi imaging-based occupancy detection system for future smart buildings. The proposed system is developed using off-the-shelf non-wearable devices such as Wi-Fi router, network interface card, and an omnidirectional antenna for future body centric communication. The core idea is to detect presence of person along its activities of daily living without deploying a device on person’s body. The Wi-Fi signals received using non-wearable devices are converted into time–frequency scalograms. The occupancy is detected by classifying the scalogram images using an auto-encoder neural network. In addition to occupancy detection, the deep neural network also identifies the activity performed by the occupant. Moreover, a novel encryption algorithm using Chirikov and Intertwining map-based is also proposed to encrypt the scalogram images. This feature enables secure storage of scalogram images in a database for future analysis. The classification accuracy of the proposed scheme is 91.1%.
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Grecheneva, A. V., N. V. Dorofeev, and M. S. Goryachev. "Estimation of Human Biomechanics during Registration with a Wearable Device." Journal of Physics: Conference Series 2096, no. 1 (November 1, 2021): 012117. http://dx.doi.org/10.1088/1742-6596/2096/1/012117.
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Abstract In article research of human biomechanics is carried out in the case of registering his movements using a single accelerometer, which is located in a wearable device. Mobile phones, smart watches or fitness bracelets can act as a wearable device. It should be noted that the research is oriented at evaluating biomechanics using a mobile phone, but the results obtained in the form of algorithms and a general approach can be transferred to cases of using other wearable devices.