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Journal articles on the topic 'Best Smart Watches'

Author: Grafiati

Published: 26 July 2024

Last updated: 31 July 2025

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1

Hedayatnia, Mostafa. "Smart Materials for Silent Alarms." Mechanical Engineering 120, no. 02 (1998): 88–89. http://dx.doi.org/10.1115/1.1998-feb-7.

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This article discusses the recent demand for silent alarms. If the device is kept close to a user’s body, such as on her\his wrist or in a back pocket, vibration is well suited for this type of alarm. The technology has been used for sometime in pagers, for example, and the field could someday be expanded to watches and a variety of medical equipment. The most common form of vibrating alert involves a motor that rotates an eccentric weight in an electromagnetic field. However, the smallest of these motors is still too large to fit in watches and other consumer products. Piezoceramic materials

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Chang, Ray-I., Tzu-Chieh Lin, and Jeng-Wei Lin. "A Vehicle Passive Entry Passive Start System with the Intelligent Internet of Things." Electronics 13, no. 13 (2024): 2506. http://dx.doi.org/10.3390/electronics13132506.

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With the development of sensor and communication technologies, the Internet of Things (IoT) subsystem is gradually becoming a crucial part in vehicles. It can effectively enhance functionalities of vehicles. However, new attack types are also emerging. For example, a driver with the smart key in their pocket can push the start button to start a car. At the same time, security issues in the push-to-start scenario are pervasive, such as smart key forgery. In this study, we propose a vehicle Passive Entry Passive Start (PEPS) system that adopts deep learning algorithms to recognize the driver usi

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Sharma, Richa, Shalli Rani, and Deepali Gupta. "Stress Detection Using Machine Learning Classifiers in Internet of Things Environment." Journal of Computational and Theoretical Nanoscience 16, no. 10 (2019): 4214–19. http://dx.doi.org/10.1166/jctn.2019.8502.

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Over the years, Recommender systems have emerged as a means to provide relevant content to the users, be it in the field of entertainment, social-network, health, education, travel, food or tourism. Further,with the expeditious development of Big Data and Internet of Things (IoT), technology has successfully associated with our everyday life activities with smart healthcare being one. The global acceptance towards smart watches, wearable devices or wearable biosensors have paved the way for the evolution of novel applications for personalized eHealth and mHealth technologies. The data gathered

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Prof., Shilpa Das*1&Prof. Sabna M. 2*. "EDGE COMPUTING AND IOT BASED HEALTH CARE SYSTEMS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY NACETEC' 19 (April 11, 2019): 187–93. https://doi.org/10.5281/zenodo.2636930.

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As Internet of Things (IoT) devices become more common and edge computing applications expand to accommodate them, many industries are thinking of ways to make the best use of this technology. Health care systems stands immensely from the expand use of IoT devices and edge computing. The people in need of healthcare services find it very expensive this is particularly true in developing countries. With improvement in technology previously expensive hospital equipment has been redesigned using current technology. The main objective of the project was to design a patient health care monitoring s

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C, Vijesh Joe, and Jennifer S. Raj. "Location-based Orientation Context Dependent Recommender System for Users." March 2021 3, no. 1 (2021): 14–23. http://dx.doi.org/10.36548/jtcsst.2021.1.002.

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As the technology revolving around IoT sensors develops in a rapid manner, the subsequent social networks that are essential for the growth of the system will be utilized as a means to filter the objects that are preferred by the consumers. The ultimate purpose of the system is to give the customers personalized recommendations based on their preference. Similarly, the location and orientation will also play a crucial role in identifying the preference of the customer is a more efficient manner. Almost all social networks make use of location information to provide better services to the users

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Sriram, Arram, G. Sekhar Reddy, G. L. Anand Babu, et al. "A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach." Evidence-Based Complementary and Alternative Medicine 2022 (June 24, 2022): 1–6. http://dx.doi.org/10.1155/2022/2056807.

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The Internet of Medical Things (IoMT) is a huge, exciting new phenomenon that is changing the world of technology and innovating various industries, including healthcare. It has specific applications and changes in the medical world based on what can be done for clinical workflow models. The first and most fundamental thing that IoMT does in healthcare is to bring a flood of new data into medical processes. In this study, an efficient Internet of Medical Things based cancer detection model was proposed. In fact, for many, new fitness monitors and watches are one of the best examples on the Int

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Shukri, Sarah E., Rizik Al-Sayyed, Hamed Al-Bdour, Esraa Alhenawi, Tamara Almarabeh, and Hiba Mohammad. "Internet of Things: Underwater routing based on user’s health status for smart diving." International Journal of Data and Network Science 7, no. 4 (2023): 1715–28. http://dx.doi.org/10.5267/j.ijdns.2023.7.019.

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Technological advancements affect everyday life; they benefited our daily routines, habits, and activities. Underwater diving is one of the most interesting and attractive activities for tourists worldwide but could be risky and challenging. When paths are not clear, diving might take additional time and effort leading to some health problems. Thus, providing divers with proper direction information to surf underwater can be useful and helpful. Also, monitoring diverse health statuses and alerting them in case of any undesirable condition can increase their safety. Smart devices such as mobile

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Khwaounjoo, Prashanna, Gurleen Singh, Sophie Grenfell, et al. "Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson’s Disease Hand Tremor." Sensors 22, no. 12 (2022): 4613. http://dx.doi.org/10.3390/s22124613.

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Parkinson’s disease affects millions worldwide with a large rise in expected burden over the coming decades. More easily accessible tools and techniques to diagnose and monitor Parkinson’s disease can improve the quality of life of patients. With the advent of new wearable technologies such as smart rings and watches, this is within reach. However, it is unclear what method for these new technologies may provide the best opportunity to capture the patient-specific severity. This study investigates which locations on the hand can be used to capture and monitor maximal movement/tremor severity.

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Alekhya, B. "Design and Development of Wearable Antenna: A Literature review." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 2124–27. http://dx.doi.org/10.22214/ijraset.2022.44247.

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Abstract: Wearable electronics and its related technologie’s demand is growing tremendously in recent years .The major developments that accelerated this growth are decrement in the size of wireless devices, advancement of high-speed wireless networks, accessibility of ultra-compact, evolving battery technologies. Most of the Wearable electronic devices for example smart watches, wristbands, rings etc; we use various types of antennas to sense, fetch, and exchange data wirelessly. As one of the best antennas in many terms like compact size, flexibility and easy design is the micrpstrip patch a

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Shim, Dongsub, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, and Jongseong Jang. "Online Class-Incremental Continual Learning with Adversarial Shapley Value." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (2021): 9630–38. http://dx.doi.org/10.1609/aaai.v35i11.17159.

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As image-based deep learning becomes pervasive on every device, from cell phones to smart watches, there is a growing need to develop methods that continually learn from data while minimizing memory footprint and power consumption. While memory replay techniques have shown exceptional promise for this task of continual learning, the best method for selecting which buffered images to replay is still an open question. In this paper, we specifically focus on the online class-incremental setting where a model needs to learn new classes continually from an online data stream. To this end, we contri

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Johnson, Elizabeth A., and Jane M. Carrington. "Cyber-Situational Awarenss in Clinical Trials Using Wearable Device Technology." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 10, no. 1 (2021): 33–36. http://dx.doi.org/10.1177/2327857921101011.

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It is estimated 1 in 3 clinical trials utilize a wearable device to gather real-time participant data, including sleep habits, telemetry, and physical activity. While wearable technologies (including smart watches, USBs, and implantable devices) have been revolutionary in their ability to provide a higher precision and accuracy to data acquisition external to the research milieu, there is hesitancy among providers and participants alike given security concerns, perception of cyber-related threats, and meaning attributed to privacy issues. The purpose of this research is to define cyber-situati

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Kobra, Khadiza Tul, Sheikh Sadi Bandan, MD Samiul Islam Sabbir, and Md Sharuf Hossain. "Enhancing Human Activity Recognition with Advanced Machine Learning Techniques." International Journal of Research and Innovation in Applied Science IX, no. VIII (2024): 316–22. http://dx.doi.org/10.51584/ijrias.2024.908029.

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One of the most popular computer research methodologies is human activity recognition, which finds application in a wide range of fields including education, gaming and amusement, healthcare, security and visual surveillance, patient rehabilitation, and human-computer interaction. Human activity identification has gained significant attention in the last ten years due to the growing usage of electronic devices to monitor human activity, including smartphones, smart watches, fitness trackers, video cameras, and ad hoc replaceable devices. A machine learning technique uses data from three axial

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Blasco, Jorge, and Pedro Peris-Lopez. "On the Feasibility of Low-Cost Wearable Sensors for Multi-Modal Biometric Verification." Sensors 18, no. 9 (2018): 2782. http://dx.doi.org/10.3390/s18092782.

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Biometric systems designed on wearable technology have substantial differences from traditional biometric systems. Due to their wearable nature, they generally capture noisier signals and can only be trained with signals belonging to the device user (biometric verification). In this article, we assess the feasibility of using low-cost wearable sensors—photoplethysmogram (PPG), electrocardiogram (ECG), accelerometer (ACC), and galvanic skin response (GSR)—for biometric verification. We present a prototype, built with low-cost wearable sensors, that was used to capture data from 25 subjects whil

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Shi, Wei, Meichen Duan, Hui He, et al. "Location Adaptive Motion Recognition Based on Wi-Fi Feature Enhancement." Applied Sciences 13, no. 3 (2023): 1320. http://dx.doi.org/10.3390/app13031320.

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Action recognition is essential in security monitoring, home care, and behavior analysis. Traditional solutions usually leverage particular devices, such as smart watches, infrared/visible cameras, etc. These methods may narrow the application areas due to the risk of privacy leakage, high equipment cost, and over/under-exposure. Using wireless signals for motion recognition can effectively avoid the above problems. However, the motion recognition technology based on Wi-Fi signals currently has some defects, such as low resolution caused by narrow signal bandwidth, poor environmental adaptabil

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Wittenberg, Th, R. Koch, N. Pfeiffer, et al. "Evaluation of HRV estimation algorithms from PPG data using neural networks." Current Directions in Biomedical Engineering 6, no. 3 (2020): 505–9. http://dx.doi.org/10.1515/cdbme-2020-3130.

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AbstractHeart rate variability (HRV) is a powerful measure to gain information on the activation of the central nervous system and is thus a strong indicator for the overall health and emotional state of a person. Currently, the gold standard for HRV analysis is the examination of R-peaks in electrocardiograms (ECG), which requires a placement of electrodes on the torso. This is often impracticable, especially for the use in daily routines or 24/7 measurements. Photoplethysmograms (PPG) are an alternative to ECG assessment and are easier to acquire, e.g. by using fitness trackers or smart watc

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Browne, Sarah, M.-Tahar Kechadi, Shane O'Donnell, et al. "Mobile Health Apps in Pediatric Obesity Treatment: Process Outcomes From a Feasibility Study of a Multicomponent Intervention." JMIR mHealth and uHealth 8, no. 7 (2020): e16925. http://dx.doi.org/10.2196/16925.

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Background Multicomponent family interventions underline current best practice in childhood obesity treatment. Mobile health (mHealth) adjuncts that address eating and physical activity behaviors have shown promise in clinical studies. Objective This study aimed to describe process methods for applying an mHealth intervention to reduce the rate of eating and monitor physical activity among children with obesity. Methods The study protocol was designed to incorporate 2 mHealth apps as an adjunct to usual care treatment for obesity. Children and adolescents (aged 9-16 years) with obesity (BMI ≥9

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Bychkov, Oleksii S., Oleksandr V. Gezerdava, Kseniia K. Dukhnovska, Oksana I. Kovtun, and Olga O. Leshchenko. "Fitness Tracker Data Analytics." Control Systems and Computers, no. 2 (306) (July 2024): 65–76. http://dx.doi.org/10.15407/csc.2024.02.065.

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The health status of patients is recorded in various sources, such as medical records, portable devices (smart watches, fitness trackers, etc.), forming a characteristic current health status of patients. The goal of the study was the development of medical card software for the analysis of data from fitness bracelets. This will provide an opportunity to collect data for further use of cluster analysis and improvement of the functionality and accuracy of medical monitoring. The object of the study is the use of linear regression to analyze and predict heart rate based on data collected using f

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Kumar Padhi, Prafulla. "Valuation and Inception of Ethical Fashion Smart Wearable Born-Global Speculative Start-up (BGSS)." International Journal of Community Development and Management Studies 1 (2017): 117–48. http://dx.doi.org/10.31355/17.

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NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose.............................................................................................................................................................................................. Since the valuation of a born-global speculative start-up (BGSS) has been a guessing game and there is no framework in the literature from ethical fashion smart wearable (EFSW) venture valuation perspective, this research explores to create a holistic model using multi-stage valuation method to valuate BGSS at its inception a

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Razavi Termeh, V., and A. Sadeghi Niaraki. "DESIGN AND IMPLEMENTATION OF UBIQUITOUS HEALTH SYSTEM (U-HEALTH) USING SMART-WATCHES SENSORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 607–12. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-607-2015.

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Today as diseases grow rapidly, the responsibilities of the health clinics in giving services to patients increase and patients have to be more monitored and controlled. Remote systems of monitoring patients result in reducing cost, ease of movement, and also persistent control of patients by their doctors, so that patient can be monitored without need to go to the clinic. Recent advances in the field of ubiquitous sciences as well as using smartphones have resulted in increasingly use of this devices in remote monitoring of patients. <br><br> The aim of this paper is to design and

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Kashiwazaki, Shinsuke, Koutaro Hachiya, Toshiki Kanamoto, Ryosuke Watanabe, and Atsushi Kurokawa. "Receiver coil built into belt for heat dissipation of watch-type smart devices." IEICE Electronics Express 19, no. 3 (2022): 20210497. http://dx.doi.org/10.1587/elex.18.20210497.

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Zhou, Lijun, Xue Liu, Wei Zhong, et al. "Wearable Smart Silicone Belt for Human Motion Monitoring and Power Generation." Polymers 16, no. 15 (2024): 2146. http://dx.doi.org/10.3390/polym16152146.

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Human physical activity monitoring plays a crucial role in promoting personalized health management. In this work, inspired by an ancient Chinese belt, a belt-type wearable sensor (BWS) based on a triboelectric nanogenerator (TENG) is presented to monitor daily movements and collect the body motion mechanical energy. The developed BWS consists of a soft silicone sheet and systematically connected sensing units made from triboelectric polymer materials including polytetrafluoroethylene (PTFE) and polyamide (PA). A parameter study of the sensing units is firstly conducted to optimize the structu

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Chase, Jo-Ana, Chelsea Howland, Malaika Gallimore, and Blaine Reeder. "Usability and Feature Evaluation of the Amazfit Bips Smart Watch in the Precision START Lab." Innovation in Aging 4, Supplement_1 (2020): 196. http://dx.doi.org/10.1093/geroni/igaa057.634.

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Abstract Interventions utilizing consumer-grade wearable and mobile devices may support older adult health and wellness. However, rapid technology change and short industry product release cycles limit timely incorporation of these devices. We developed a novel, multi-stage process to rapidly move from within-team evaluations to lab- and field-based participants studies based on small-sample technology testing methods from Human-Computer Interaction. We present findings from a first-stage evaluation of the Amazfit Bips smart watch for potential use in studies with older adults as part of the m

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Yadav, Sanchit, and Kamlesh Kumar Singh. "Smart Environmental Health Monitoring System." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 1 (2021): 1–5. http://dx.doi.org/10.54060/jieee/002.01.003.

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Pollution is a growing issue these days. It is necessary to analyze environment & keep it in check for a for best future as well as healthy living for all. Here we propose an Envi-ronment Monitoring System that permit us to watch & check live environment in espe-cially areas through Internet of Things (IOT). IoT supported a real time environmental monitoring system. It plays a crucial role in today’s world through a huge and pro-tract-ed system of sensor networks concerned to the environment & its parameters. This technique deals with monitoring important environmental conditions l

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LeBaron, Virginia, James Hayes, Kate Gordon, et al. "Leveraging Smart Health Technology to Empower Patients and Family Caregivers in Managing Cancer Pain: Protocol for a Feasibility Study." JMIR Research Protocols 8, no. 12 (2019): e16178. http://dx.doi.org/10.2196/16178.

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Background An estimated 60%-90% of patients with cancer experience moderate to severe pain. Poorly managed cancer pain negatively affects the quality of life for both patients and their family caregivers and can be a particularly challenging symptom to manage at home. Mobile and wireless technology (“Smart Health”) has significant potential to support patients with cancer and their family caregivers and empower them to safely and effectively manage cancer pain. Objective This study will deploy a package of sensing technologies, known as Behavioral and Environmental Sensing and Intervention for

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Biswas, Subhashis, Supratim Guha, and Rupayan Bhattacharya. "Validity and Reliability of Polar V800 Smart Watch to Measure Cricket-Specific Movements." Physical Education Theory and Methodology 22, no. 3 (2022): 316–22. http://dx.doi.org/10.17309/tmfv.2022.3.03.

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The study purpose was to assess the reliability and validity of Polar V800 smart watch in measuring various cricket-specific movements. Materials and methods. Only one trained male volunteer was selected to perform all the cricket specific movements to minimize individual error and eliminate between-subject variability. Polar V800 obtained distances were compared with real field markings. Results. Split-half Reliability Statistical method has been used and 'r' score for the measurements taken has been found to be 0.93. 95% confidence intervals also express a good reliability score.

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Pekas, Damir, Josipa Radaš, Mario Baić, Iva Barković, and Ivan Čolakovac. "The Use of Wearable Monitoring Devices in Sports Sciences in COVID Years (2020–2022): A Systematic Review." Applied Sciences 13, no. 22 (2023): 12212. http://dx.doi.org/10.3390/app132212212.

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Purpose: Given the growth in the use of wearable measuring technology, this study aimed to investigate the frequency of writing about wearable monitoring devices in the field of sports sciences and sports-related health professions during the years affected by the COVID-19 pandemic (2020 to 2022). The goal was to observe the number of studies right before the quarantine and during the first years of pandemic. Methodology: A systematic literature analysis was performed in the Web of Science Core Collection (WoS CC) and Scopus databases in March 2023. The filters used in the search were the foll

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M.L.Keote. "Design of Mathematical Model and Implementation of IoT Enabled Smart Secure Parking System." Communications on Applied Nonlinear Analysis 31, no. 2s (2024): 373–87. http://dx.doi.org/10.52783/cana.v31.655.

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The fast growth of cities and the resulting rise in traffic have made it necessary to create effective parking control systems. This paper talks about how to build and set up an Internet of Things (IoT)-enabled smart parking system. IoT technology is used in the suggested system to solve problems with current parking systems, like wasteful use of space, traffic jams, and damage to the environment. A detailed mathematical model is created to find the best way to assign parking spaces, cut down on the time it takes to look for open spots, and improve the overall user experience. The system desig

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Quinlan, Jason. "TV on the move: How the growth in Internet streaming influences the video quality on your mobile device." Boolean: Snapshots of Doctoral Research at University College Cork, no. 2014 (January 1, 2014): 159–63. http://dx.doi.org/10.33178/boolean.2014.32.

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Every day, millions of people logon to the Internet to view their favorite TV show on Netflix, or similar streaming services, or to watch the latest viral video on YouTube. Two things are paramount, 1) that they receive the best streaming quality available, and 2) the video starts to play as quickly as possible. There is nothing worse than a video that stops and starts, takes forever to view or constantly changes between viewable qualities (resolutions). Due to our limited download speeds (bandwidth), in most houses it is not uncommon to hear “Stop downloading, I’m trying to watch something on

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Hulu, Yohana Juwitasari, and Renny Christiarini. "PENGARUH LIVE STREAMING SHOPPING TERHADAP PENJUALAN BARANG THRIFSHOP DI KOTA BATAM." JWM (JURNAL WAWASAN MANAJEMEN) 11, no. 1 (2023): 73–90. http://dx.doi.org/10.20527/jwm.v11i1.241.

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This research is based on the phenomenon of selling goods with live broadcasts on social media since the Covid-19 pandemic to know several factors that influence purchase intentions on live streaming shopping on the sale of used goods in Batam City. The study was conducted by collecting 330 samples obtained by distributing questionnaires to people who had watched live broadcasts of used clothes on social media. The data is processed using Smart PLS version 26. The results of this study indicate that Social Interaction does not affect Purchase Intention, followed by Social Interaction which aff

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Weidlich, Simon, Diego Mannhart, Teodor Serban, et al. "Accuracy in detecting atrial fibrillation in single-lead ECGs: an online survey comparing the influence of clinical expertise and smart devices." Swiss Medical Weekly 153, no. 9 (2023): 40096. http://dx.doi.org/10.57187/smw.2023.40096.

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BACKGROUND: Manual interpretation of single-lead ECGs (SL-ECGs) is often required to confirm a diagnosis of atrial fibrillation. However accuracy in detecting atrial fibrillation via SL-ECGs may vary according to clinical expertise and choice of smart device. AIMS: To compare the accuracy of cardiologists, internal medicine residents and medical students in detecting atrial fibrillation via SL-ECGs from five different smart devices (Apple Watch, Fitbit Sense, KardiaMobile, Samsung Galaxy Watch, Withings ScanWatch). Participants were also asked to assess the quality and readability of SL-ECGs.

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Beall, J. "Best practices for scholarly authors in the age of predatory journals." Annals of The Royal College of Surgeons of England 98, no. 2 (2016): 77–79. http://dx.doi.org/10.1308/rcsann.2016.0056.

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‘Continuous effort, not strength or intelligence, is the key to understanding our potential.’ Margaret J Wheatley The focus of any academic or research author is to share his or her findings, and to gain respect and reward for publishing. The ideal journal is one that not only publishes an article quickly but also helps the author to improve the article before publication through peer review, selects only the best research so that the author’s article lies alongside other high quality articles, and provides maximum (and long-term) visibility and access to the article. Unfortunately, in the rea

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Al-Shareeda, Mahmood A., Laith Badr Najm, Ali Ahmed Hassan, Sajjad Mushtaq, and Hussein Abdul Ali. "Secure IoT-Based Smart Agriculture System Using Wireless Sensor Networks for Remote Environmental Monitoring." STAP Journal of Security Risk Management 2024, no. 1 (2024): 56–66. https://doi.org/10.63180/jsrm.thestap.2024.1.4.

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Designing and implementing a secure IoT-based smart agriculture system that uses wireless sensor networks (WSNs) for real-time monitoring to keep the best environment and irrigates automatically. The proposed system is based on the ESP32 microcontroller and incorporates sensors for soil moisture, temperature, humidity, pH, and total dissolved solids (TDS), enabling precise agricultural resource management. The system is powered by solar energy to ensure continuous operation in remote areas or off the grid. Via Transport Layer Security (TLS), data is securely transmitted to the cloud, and devic

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Strüven, Anna, Christina Holzapfel, Christopher Stremmel, and Stefan Brunner. "Obesity, Nutrition and Heart Rate Variability." International Journal of Molecular Sciences 22, no. 8 (2021): 4215. http://dx.doi.org/10.3390/ijms22084215.

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Heart rate variability (HRV) represents the activity and balance of the autonomic nervous system and its capability to react to internal and external stimuli. As a measure of general body homeostasis, HRV is linked to lifestyle factors and it is associated with morbidity and mortality. It is easily accessible by heart rate monitoring and gains interest in the era of smart watches and self-monitoring. In this review, we summarize effects of weight loss, training, and nutrition on HRV with a special focus on obesity. Besides weight reduction, effects of physical activity and dietary intervention

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Mahariba, A. Jackulin, and Shivam Haresh Kumar Patel. "Smart Band – an Integrated Device for Emergency Management." International Journal of Engineering and Advanced Technology 8, no. 4s2 (2020): 36–39. http://dx.doi.org/10.35940/ijeat.d1010.0484s219.

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In the event of a kidnapping or a medical emergency, a person is often incapacitated to be able to call for help. And it’s usually too late before the first responders arrive on-scene. Currently, a vast array of ‘safety’ devices available in the market are often far too rudimentary such as double tapping the power button that isn’t very practical, or an app on a smart watch that is a huge investment in the first place. The Smart Band aims to eliminate the need for a physical trigger by the person who finds himself in dangerous situations like kidnapping, front-facing some wild animal, heart at

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M.E.L. Subair Ali, Et al. "Upset or Collapse Detection System for ASD Children Using Smart Watch with Machine Learning Algorithm." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 1270–78. http://dx.doi.org/10.17762/ijritcc.v11i10.8669.

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ASD is characterised by severe and violent behavioural issues that are referred to as "meltdowns (upset) or tantrums (collapse)" and can include aggression, hyperactivity, intolerance, unpredictability and self-injury. This research work intends to develop and implement a non-invasive real-time Upset or Collapse Detection System (UCDS) for people with ASD. With a certain model of smart watch, the non-invasive biological indications such as Pulse Rate (PR), Skin Temperature (ST), and Galvanic Skin Reaction (GSR) can be artificially captured. In order to create the UCDS, deep learning algorithms

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Nurwahidin, Lukman, Putu Harry Gunawan, and Rifki Wijaya. "Stress Detection Due to Lack of Rest Using Artificial Neural Network (ANN)." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 4 (2023): 1806. http://dx.doi.org/10.30865/mib.v7i4.6642.

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Currently, many people feel symptoms of stress due to lack of adequate rest. Which at this time the person will carry out activities that are very heavy both from tasks that are too heavy, work pressure that accumulates, and much more. People who experience stress symptoms sometimes don't know what causes stress. Through this research a learning machine will be made, using the Artificial Neural Network algorithm, will analyze heart rate data or BPM from 7 patient data per day, using a Fitbit smart watch will display several data such as falling asleep, waking up, REM (Rapid Eyes Movement) and,

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LeBaron, Virginia, Rachel Bennett, Ridwan Alam, et al. "Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach." JMIR Formative Research 4, no. 8 (2020): e20836. http://dx.doi.org/10.2196/20836.

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Background Inadequately managed pain is a serious problem for patients with cancer and those who care for them. Smart health systems can help with remote symptom monitoring and management, but they must be designed with meaningful end-user input. Objective This study aims to understand the experience of managing cancer pain at home from the perspective of both patients and family caregivers to inform design of the Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C) smart health system. Methods This was a descriptive pilot study using a multimethod approach. Dyads of patie

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Kirstein, T., G. Tröster, and P. Lukowicz. "Wearable Systems for Health Care Applications." Methods of Information in Medicine 43, no. 03 (2004): 232–38. http://dx.doi.org/10.1055/s-0038-1633863.

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Summary Objectives: Wearable systems can be broadly defined as mobile electronic devices that can be unobtrusively embedded in the user’s outfit as part of the clothing or an accessory. In particular, unlike conventional mobile systems, they can be operational and accessed without or with very little hindrance to user activity. To this end they are able to model and recognize user activity, state, and the surrounding situation: a property, referred to as context sensitivity. Wearable systems range from micro sensors seamlessly integrated in textiles through consumer electronics embedded in fas

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Kay, Shayna, Chimaobi Oyiliagu, and Amena Ali. "388 Prototyping a mobile phone application for Chimeric Antigen Receptor (CAR) T-cell therapy patient monitoring and data collection post-discharge." Journal of Clinical and Translational Science 8, s1 (2024): 115–16. http://dx.doi.org/10.1017/cts.2024.339.

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OBJECTIVES/GOALS: Research objectives include prototyping a mobile phone application that allows physicians to monitor CD19-directed CAR T-cell therapy patients remotely after discharge. This app will also enable standardized data collection across different centers that provide CAR-T cell therapy and allow for the harmonization of follow-up protocols. METHODS/STUDY POPULATION: Literature review and semi-structured interviews with patients, clinical coordinators, and other experts in the field will be used to determine what parameters must be included in the mobile application prototype to eff

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Sharma, Pratibha, Ved vrat Verma, Manashree Mane, et al. "Leveraging AI-Driven Health Informatics for Predictive Analytics in Chronic Disease Management." Seminars in Medical Writing and Education 3 (December 31, 2024): 507. https://doi.org/10.56294/mw2024507.

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People are getting long-term illnesses like diabetes, heart disease, and high blood pressure more and more often. Because of this, it's even more important to find better ways to handle these situations and move quickly when they happen. Using AI-powered health informatics in predictive analytics seems like a good way to improve the quality of care and patient outcomes when dealing with long-term illnesses. This study looks at how AI models, like machine learning algorithms, predictive modelling, and data-driven analytics, can change how long-term illnesses are watched, identified, and treated

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Watson, Nathaniel, Chris Fernandez, Sam Rusk, Yoav Nygate, Fred Turkington, and Justin Mortara. "426 Clinical Validation of A.I. Analysis of Photoplethysmogram (PPG) Based Sleep-Wake Staging, Total Sleep Time, and Respiratory Rate." Sleep 44, Supplement_2 (2021): A168—A169. http://dx.doi.org/10.1093/sleep/zsab072.425.

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Abstract Introduction The Photoplesthymogram (PPG) raw waveform is the basis for both the pulse rate and oximetry during polysomnography (PSG) and Home Sleep Apnea Tests (HSAT). The PPG has also recently become ubiquitous as a basis of continuous measurement for the most widely adopted consumer sleep technologies, particularly smart watches. In this study, we clinically validate AI performance for interoperable, PPG-based epoch-by-epoch Sleep-Wake staging (PPG-SW), Total Sleep Time (PPG-TST), and Respiratory Rate (PPG-RR), when compared to 1) PSG-based panel scoring by technologists (RPSGTs) a

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Wang, Yu. "Machine learning models applied to predicate post activity oxygen saturation levels." International Journal of Biosensors & Bioelectronics 8, no. 1 (2023): 26–30. http://dx.doi.org/10.15406/ijbsbe.2023.08.00228.

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Machine learning is a rapidly growing field with widespread application in various industries, including healthcare. In recent years, significant advancements in machine learning have enhanced our understanding of data analytics and prediction models in analyzing physiological data, such as blood oxygen levels, heart rate, and blood pressure. This paper focuses on physical activity in adolescence during the pandemic period. The study showed that going outside for a short walk can increase blood oxygen levels. Furthermore, the consumption of certain foods can also raise oxygen saturation levels

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Safitra, Febriartha Dwi Wahyu, Ni Kadek Yuni Utami, and Ni Wayan Ardiarani Utami. "REDESAIN INTERIOR NEW STAR CINEPLEX TIMBUL JAYA PLAZA DI KOTA MADIUN." Jurnal Patra 2, no. 1 (2020): 19–26. http://dx.doi.org/10.35886/patra.v2i1.83.

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Febriartha Dwi Wahyu Safitra1, Ni Kadek Yuni Utami 2, Ni Wayan Ardiarani Utami3  1,2,2Sekolah Tinggi Desain Bali, Denpasar,Bali - Indonesia  e-mail: febrisafitra97@gmail.com1 A B S T R A C T Movie theater is one of public entertainment designed to give a good quality audio-visual and services to people who would like to spend their time to watch a movie. The purpose of this redesign is to increasing the quality of services provided into movie theater, also to attracting public interest of Indonesian movie world by serving a good facilities and accommodation

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"Survey on Stress Detection Using Multiple Sensors through Wearable Devices." International Journal of Advanced Trends in Computer Science and Engineering 10, no. 2 (2021): 787–90. http://dx.doi.org/10.30534/ijatcse/2021/461022021.

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An Individual method of living on with a daily existence it directly influences on your overall health. Since stress is the significant infection of our human body. Like depression, heart attack and mental illness. WHO says “Globally, more than 264 million people of all ages suffer from depression.”[8]. Also the report says that most of the time people are stressed because of their work. 10.7% of People disorder with stress, anxiety and depression [8]. There are different method to discovering stress ex. Smart watches, chest belt, and extraordinary machine. Our principle objective is to figure

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Raji, Rafiu King, Jian Lin Han, Zixing Li, and Lihua Gong. "Review of development trends in smart shoe applications." Sensor Review, April 17, 2024. http://dx.doi.org/10.1108/sr-04-2023-0093.

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Purpose At the moment, in terms of both research and commercial products, smart shoe technology and applications seem not to attract the same magnitude of attention compared to smart garments and other smart wearables such as wrist watches and wrist bands. The purpose of this study is to fill this knowledge gap by discussing issues regarding smart shoe sensing technologies, smart shoe sensor placements, factors that affect sensor placements and finally the areas of smart shoe applications. Design/methodology/approach Through a review of relevant literature, this study first and foremost attemp

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Kamarudin, Nur Khairani, Ahmad Firdaus, Azlee Zabidi, Ferda Ernawan, Syifak Izhar Hisham, and Mohd Faizal Ab Razak. "Android malware detection using PMCC heatmap and Fuzzy Unordered Rule Induction Algorithm (FURIA)." Journal of Intelligent & Fuzzy Systems, November 10, 2022, 1–15. http://dx.doi.org/10.3233/jifs-222612.

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Many smart mobile devices, including smartphones, smart televisions, smart watches, and smart vacuums, have been powered by Android devices. Therefore, mobile devices have become the prime target for malware attacks due to their rapid development and utilization. Many security practitioners have adopted different approaches to detect malware. However, its attacks continuously evolve and spread, and the number of attacks is still increasing. Hence, it is important to detect Android malware since it could expose a great threat to the users. However, in machine learning intelligence detection, to

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Smyth, Barry, Aonghus Lawlor, Jakim Berndsen, and Ciara Feely. "Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners." User Modeling and User-Adapted Interaction, August 18, 2021. http://dx.doi.org/10.1007/s11257-021-09299-3.

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AbstractEvery year millions of people, from all walks of life, spend months training to run a traditional marathon. For some it is about becoming fit enough to complete the gruelling 26.2 mile (42.2 km) distance. For others, it is about improving their fitness, to achieve a new personal-best finish-time. In this paper, we argue that the complexities of training for a marathon, combined with the availability of real-time activity data, provide a unique and worthwhile opportunity for machine learning and for recommender systems techniques to support runners as they train, race, and recover. We p

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Soysal, A., E. Golcuk, A. Atici, et al. "Detection of supraventricular arrhythmias with apple watch." European Heart Journal 44, Supplement_2 (2023). http://dx.doi.org/10.1093/eurheartj/ehad655.2949.

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Abstract Introduction With the recent developments in wearable technology, detecting arrhythmias has become much easier. Although smartwatches are commonly used to detect patients with atrial fibrillation, there is no consensus on their efficiency in detecting supraventricular tachycardias (SVT). Methods & Results Electrophysiological procedures were performed on 47 patients that have been previously documented to have SVT by a 12-lead ECG. All patients had sinus rhythm before the procedure. A narrow complex SVT which patients had at least once was induced by electrophysiological methods.

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Stellingwerff, Trent, Louise M. Burke, Hannah G. Caldwell, et al. "Integrative Field-Based Health and Performance Research: A Narrative Review on Experimental Methods and Logistics to Conduct Competition and Training Camp Studies in Athletes." Sports Medicine, April 21, 2025. https://doi.org/10.1007/s40279-025-02227-0.

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Abstract Field-based sport research involves studies that collect data from athletes and/or teams during competition and/or their daily training environments. Over the last decade, sport-specific field-based research projects have significantly increased in number and complexity, partially owing to the further development of more portable measurement equipment (e.g., indirect calorimetry, desktop blood/gas analyzers, portable laboratories, etc.) and/or wearable or consumable technologies (e.g., smart watches, sensors, core temp pills, etc.). However, given these rapid advances and novelty, cha

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Al-Kaisey, A., A. Koshy, F. J. Ha, et al. "P574Accuracy of wrist-worn heart rate monitors for chronotropic assessment in atrial fibrillation." European Heart Journal 40, Supplement_1 (2019). http://dx.doi.org/10.1093/eurheartj/ehz747.0185.

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Abstract Introduction Wrist-worn fitness and heart rate (HR) monitors are increasingly popular. Previous studies in healthy participants with sinus rhythm (SR) have yielded variable results depending on HR, activity levels and device tested. A paucity of data exists on their accuracy in atrial fibrillation (AF) in ambulatory patients. Purpose We sought to assess the HR accuracy of 2 commercially available smart watches (Fitbit Charge HR [FB] and Apple Watch Series 3 [AW]) compared with Holter monitoring in an ambulant patient cohort. Methods Patients aged >18 years referred for 24-hour Holt

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