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Journal articles on the topic 'Smart Shoe'
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Pandey, Prakhar. "Smart Landmine and Restraining Shoes." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 3397–99. http://dx.doi.org/10.22214/ijraset.2023.52353.
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Abstract: The smart landmine and restraining shoes project is an innovative solution to reduce the risk of accidental detonation of landmines. The project involves the use of an esp32 module and an RFID tag embedded in a special shoe. When the shoe with the RFID tag is placed on the landmine, it acts as a safety mechanism preventing the mine from being triggered. This technology ensures that the shoes do not trigger the landmines when army personnel steps on them. However, if a terrorist step on the shoe, the RFID tag is detected, causing the landmine to detonate and neutralize the threat.
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Mohamad, Mohd Riduan, and Adarsh Bhagyanathan. "Internet of Things Based Smart Shoe Fitness Tracker Prototype." Journal of Medical Device Technology 2, no. 2 (2023): 112–16. http://dx.doi.org/10.11113/jmeditec.v2n2.45.
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In the modern era wearable smart technologies are highly popular and liked by the people of this generation. Smart shoe being one of the smart technologies, hypermarkets like Nike, Puma, Adidas, Xiaomi, keep launching various types of smart shoes for different purposes. Fitness being a mandatory factor in an individual’s lifestyle, people’s attention is drawn towards smart technologies meant to improve their fitness and monitor their workout routine on an everyday basis. However, there are few noticeable limitations that hinders people to not own a pair for themselves. In this paper, Internet of Things based smart shoe fitness tracker prototype has been developed considering the factors of cost, efficiency and sustainable energy. The prototype mimics the purpose of smart shoe fitness tracker where the fitness variable and health parameters are measured according to the user’s motion. The smart shoe mobile application facilitates as the user interface to monitor their day-to-day vitals and activity at real time using Internet of things. Integrating the concept of sustainable energy and energy harvesting from alternative energy resources using piezoelectric sensors to activate the tracker during fitness performance. As a result, this study has developed a smart shoe prototype that compensates the limitations of the existing smart shoes and motivates people to take up fitness as a part of everyday lifestyle and progressing towards a better future.
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Rao, B. Ravichandra. "Smart Shoe." International Journal of Electronics Engineering Research 15, no. 1 (2023): 11–18. http://dx.doi.org/10.37622/ijeer/15.1.2023.11-18.
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Ansari, Aman, Gopal Kc, and Hasina Dhungel. "Smart Shoe Rack with Face Recognition." September 2022 4, no. 3 (2022): 122–30. http://dx.doi.org/10.36548/jei.2022.3.001.
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The Smart Shoe Rack with face recognition is most likely one of the newest projects to have been introduced of its kind. In a Hindu country, temples are almost everywhere, inside the valley as well as outside, where one has to take off his footwear before entering. One of the most common yet overlooked problems is shoe misplacement in crowded temple areas. Therefore, to sort out this major problem, the idea of a Smart Shoe Keeping with face recognition has been proposed in this paper. By the use of microcontrollers, raspberry pi captures face encoding of a person and along with adjusting stepper motors, the shoe can be stacked at one of the sixteen different locations. The use of a clock helps in determining the stepper position at every instance. With face recognition technology, the shoes can be fetched. Once the face is recognized, it is matched with the previously captured person, and the system checks for the available shoe. The position of the stepper is then identified, and the shoe is fetched through the shortest path possible by the step anti/clockwise rotation of the stepper motor. The total time of storage of the footwear displayed in the LCD is then used for charging the amount of money accordingly.
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Pradhana, Muhammad Farid Fathul Huda, R. Dimas Adityo, and Mas Nurul Hamidah. "The Nearest Route Search for A Shoe Retail Shop Using Android-Based Dijkstra Method." JEECS (Journal of Electrical Engineering and Computer Sciences) 4, no. 1 (2019): 625–32. http://dx.doi.org/10.54732/jeecs.v4i1.123.
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 Shoe retail store is a company engaged in the sale of shoes that are developing. Until now, shoe retail stores still rely on physical stores in their business. Because it is engaged in sales, the shoe retail store requires an information system for finding a route to the store that can facilitate prospective buyers to find the location of the shoe retail store. With the shop route search information system, it can facilitate prospective buyers who do not yet know the location of the shoe retail store to find where the store is located. From the writer's observation, there are several shoe retail shops that are not indexed on Google Maps. Therefore, the author raises the title of the final project entitled "Information System for Route Search Towing the Nearest Shoe Retail Shop Using the Android-Based Dijkstra Method", to facilitate prospective buyers in the PT Stars International shoe store in finding the location of the shoe retail store. has been made, this application can run on smart phones running Android with versions starting from version 4.0.3. and the functions of this application can also run well. for the difference in distance calculation by the system using the dijkstra calculation and google maps distance calculation, a difference of 9,196% is obtained from an average of 25 random sample calculations.
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Elisa, David, S. S. Greeshma, Suresh Devika, and V. N. Viji. "IoT-enabled smart shoes for the blind." i-manager’s Journal on Embedded Systems 12, no. 2 (2024): 26. http://dx.doi.org/10.26634/jes.12.2.20805.
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IoT-enabled smart shoes for the blind is equipped with ultrasonic sensors paired with an Arduino UNO board. The Internet of Things (IoT) facilitates communication among physical objects and between objects and humans. This enabling technology is experiencing rapid development and growth in the market. In India, there are nearly 40 million blind individuals, including 1.6 million children. Blind people encounter significant challenges in traveling independently and rely on others for various aspects of daily life. A major difficulty arises when navigating roads, as their canes may not detect every obstacle. The smart shoe design offers a long-term solution, enabling blind individuals to travel independently on roads. This shoe incorporates IoT technology, embedding various sensors, a microcontroller, and buzzers. The shoe alerts the user with buzzer sounds upon detecting obstacles ahead. To enhance efficiency, smart glasses using IoT technology have been developed, equipped with sensors to detect objects over a wider area. The smart shoes and smart glasses communicate and coordinate to ensure the user avoids collisions with obstacles in their path.
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M.S., Muhammadu Sathik Raja. "IoT Based Smart Shoe for Visually Impaired." International Journal of Innovative Research in Advanced Engineering 10, no. 07 (2023): 619–21. http://dx.doi.org/10.26562/ijirae.2023.v1007.30.
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IoT based Smart shoe system for visually impaired is a system made with the help of ultrasonic sensors, GPS and GSM module paired to an Arduino UNO board. Internet of things is all about making physical objects communicate with other objects or even with humans. Sightless people face great difficulty to travel independently. They must depend on others in many aspects of their life. The Major problem is when they walk on the road. With a stick in hand, they cannot detect every obstacle that comes in their way. The Smart shoe design provides a long-term solution for the blind to walk on roads independently. The smart shoe will help the Blind person to reach his destination independently. It is built using IoT Technology in which the shoe will be embedded with various sensors, Microcontroller, and buzzers. The shoe warns the user by making noise with the buzzer when he/she walks in front of an obstacle. The smart shoe communicates and coordinate with each other to ensure that the user does not collide with any obstacle in his way. Visually Impaired People face issues while travelling outdoors, this paper presents a literary review of overcoming such issues by making wearable sensors by planting them on shoes using IOT (Internet of Things). Use of ultrasonic sensors and buzzer to notify the end- user regarding upcoming obstacles.
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JIANLIN, HAN, RAJI RAFIU KING, CHEN YUAN, and WANG WEIJUN. "A knitted smart sneaker system based on piezoresistive strain sensing for stride counting." Industria Textila 75, no. 01 (2024): 97–101. http://dx.doi.org/10.35530/it.075.01.20232.
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Currently, smart shoes are not as common as other wearable devices such as fitness trackers or smartwatches. However, with the continuous improvement in sensor and IOT technologies, it is expected that shoes with smart capabilities will catch up with the other popular wearables. The emergence of 3D knitting and its subsequent application in footwear manufacture has revolutionized the shoe manufacturing process. The use of knitwear allows for shoe parts such as the upper or the sole (insole, Strobel sole, midsole and/or outer sole) to be tailored with specific areas having different characteristics and providing different functions with low production effort. This study presents the design and manufacture of a knitted smart sneaker for cadence mensuration. The specified part of the sneaker is knitted with silverplated polyester yarn to serve as a strain sensor. During the weight-bearing and release phases of the foot, while walking, this strain sensor is stressed and relaxed by this oscillatory phenomenon thus allowing footstep data to be measured. Stride estimate tests were carried out and the results established that strides taken by a user can accurately be correlated to the readings of the system. This study is the first to develop a smart shoe-sensing system where the sensor is inherently embedded within the shoe upper.
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Amrutkar, Pranav, Samarth Bondarde, Mohammed Faizan Khan, Yugal Upadhyay, Ram Chavan, and Dr Pallavi Devendra Deshpande. "Smart Shoe Using Peizo Electric Sensors." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 296–303. https://doi.org/10.22214/ijraset.2024.65763.
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Abstract: In this article, a piezoelectric shoe system that stores and harnesses walking kinetic energy to generate electric current for cell measurement and charging a smartphone is designed and constructed. It captures the forces exerted by walking, utilising mechanical stress through piezoelectric sensors, into electrical energy by means of a 27mm piezoelectric disk. Main components include: piezoelectric sheets, silicone adhesives, 1N4007 diodes, and a 3.7V rechargeable lithium-ion battery. This intelligent shoe therefore has the potential of being used independently without much effort towards its maintenance. Preliminary tests promise that the smart shoes would really be able to provide their users with a source of sustainable power, particularly in remote or outdoor settings.
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Rukmini, Pradyumna G., Roopa B. Hegde, Bommegowda K. Basavarajappa, et al. "Recent Innovations in Footwear and the Role of Smart Footwear in Healthcare—A Survey." Sensors 24, no. 13 (2024): 4301. http://dx.doi.org/10.3390/s24134301.
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Smart shoes have ushered in a new era of personalised health monitoring and assistive technologies. Smart shoes leverage technologies such as Bluetooth for data collection and wireless transmission, and incorporate features such as GPS tracking, obstacle detection, and fitness tracking. As the 2010s unfolded, the smart shoe landscape diversified and advanced rapidly, driven by sensor technology enhancements and smartphones’ ubiquity. Shoes have begun incorporating accelerometers, gyroscopes, and pressure sensors, significantly improving the accuracy of data collection and enabling functionalities such as gait analysis. The healthcare sector has recognised the potential of smart shoes, leading to innovations such as shoes designed to monitor diabetic foot ulcers, track rehabilitation progress, and detect falls among older people, thus expanding their application beyond fitness into medical monitoring. This article provides an overview of the current state of smart shoe technology, highlighting the integration of advanced sensors for health monitoring, energy harvesting, assistive features for the visually impaired, and deep learning for data analysis. This study discusses the potential of smart footwear in medical applications, particularly for patients with diabetes, and the ongoing research in this field. Current footwear challenges are also discussed, including complex construction, poor fit, comfort, and high cost.
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V, Nivedhitha, Praba B, Priyavarshini SR, Aarthi A, and Rajakumari K. "Smart Shoe for Visually Impaired." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 1847–56. http://dx.doi.org/10.22214/ijraset.2023.51851.
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Abstract: Our eyes are undoubtedly the most precious gift we have and play a significant part in our daily life. We are fortunate to have sight, so we can see this world. However, some individuals struggle to visualize these things. Because of this, moving around in strange public settings presents several difficulties for those with vision impairment. 39 million individuals are blind and 246 have limited vision, making up the estimated 285 million visually impaired persons globally. Wearable technology should be created with these people's visual impairments in mind. Smart shoes are a wearable technology created to give persons with vision impairments navigational information. In this study, a sophisticated electronic assistive device for the blind prototype model and system design are given. This system's components—a microprocessor, an ultrasonic sensor, and a Bluetooth headphone—are made to provide general measures for object detection, human detection, and real-time help. A pair of smart shoes equipped with water and ultrasonic sensors. A Bluetooth connection between the shoe and an Android application will enable voice control support for the user. The user will be assisted in moving about autonomously by the Smart Shoes and the Android application.
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Bhunia, Pabitra Kumar, Poulami Mondal, Pratnadeep Biswas, and Sumanta Chatterjee. "Smart Shoe Sanitizing Device." Journal of Physics: Conference Series 1797, no. 1 (2021): 012021. http://dx.doi.org/10.1088/1742-6596/1797/1/012021.
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Manjunathan, A., and C. Bhuvaneshwari. "Designing of smart shoe." Materials Today: Proceedings 21 (2020): 500–503. http://dx.doi.org/10.1016/j.matpr.2019.06.645.
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Vignesh, N., Meghachandra Srinivas Reddy.P, Nirmal Raja.G, Elamaram E, and B. Sudhakar. "Smart Shoe for Visually Impaired Person." International Journal of Engineering & Technology 7, no. 3.12 (2018): 116. http://dx.doi.org/10.14419/ijet.v7i3.12.15890.
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Eyes play important role in our day to day lives and are perhaps the most valuable gift we have. This world is visible to us because we are blessed with eyesight. But there are some people who lag this ability of visualizing these things. Due to this, they will undergo a lot of troubles o move comfortably in public places. Hence, wearable device should design for such visual impaired people. A smart shoe is wearable system design to provide directional information to visually impaired people. To provide smart and sensible navigation guidance to visually impaired people, the system has great potential especially when integrated with visual processing units. During the operation, the user is supposed to wear the shoes. When sensors will detect any obstacle, user will be informed through Android system being used by the user. The Smart Shoes along with the application on the Android system shall help the user in moving around independently.
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Towseef Ahmed, S., K. C. T. Swamy, O. Siva Reddy, et al. "Smart Shoe Electricity Generation via Piezo-electric Transducers." E3S Web of Conferences 540 (2024): 13003. http://dx.doi.org/10.1051/e3sconf/202454013003.
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Smart Shoe, also referred to as intelligent wearable footwear, has become increasingly popular. In recent times, the primary concern has been the challenges associated with generating electricity, largely stemming from the excessive use of existing resources. The need for power is growing more and more with each passing day. With the continuous advancements in technology and the utilization of sophisticated methods, wearable devices have been developed to generate electricity. Our research aims to produce renewable energy from the environment without any associated costs or negative impact on the environment. This objective can be accomplished through the utilization of Smart Shoes. The intelligent footwear has the capability to generate electricity, making it a highly effective solution. Our proposed system utilizes piezoelectric transducers to convert the mechanical foot pressure exerted by humans into electrical energy. This energy can then be harnessed to charge various devices that are commonly used in our daily commercial activities, such as smartphones. This type of technology is widely used for fall detections, posture monitoring, foot progression, angle monitoring, human activity recognition and these are all rely on the intellectual ability of shoe. Wearing a ‘Smart Shoe’ represents a minor advancement towards a more intelligent future.
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Rodrigues, K., M. Pinto, P. Isidoro, J. Pinheiro, and C. Oliveira. "Support for diabetes patients." OPE Journal 13, no. 45 (2023): 16–17. http://dx.doi.org/10.51202/2366-8040-2023-45-016.
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My Care Shoe is a novel solution for prevention and treatment of diabetic foot ulceration based on flexible electronics. Ropar S.A., through its brand Ortomedical, together with a multidisciplinary consortium, developed this novel smart shoes solution.
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Shelena Soosay Nathan, Kuan Jung Ying, Lim Hui Wen, and Lim Xin Weoi. "Design of Smart Walking Shoe for Visually Impaired People." Journal of Advanced Research in Applied Mechanics 101, no. 1 (2023): 53–61. http://dx.doi.org/10.37934/aram.101.1.5361.
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Technology helps disabled people to get things done easier and in the case of visually impaired people, technology surely enables them to communicate to the surrounding environment independently. The purpose of this study is to propose design of smart walking shoe for the visually impaired people that incorporated with multi sensors. The main purpose of the proposed smart walking shoe is to guide the visually impaired people in a smarter way rather than using traditional method of walking stick. The smart walking shoe is proposed to be integrated with components such as moisture sensor, ultrasonic sensors, button, DF Player and speaker and Agile method will be used in the development process that involves Brainstorm, Design, Development, Quality Assurance and Deployment phase. The pre-evaluation testing shows that the smart walking shoe is shown to be effective as guiding tool to the visually impaired people to navigate independently. The future studies will be conducted by development and tested in actual environments.
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Wang, Ronghan. "How to Design Comfortable Shoes in Specific Use of Scene." Highlights in Art and Design 7, no. 2 (2024): 37–41. http://dx.doi.org/10.54097/zjsr8m86.
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This paper explores the principles of comfortable shoe design and development trends, focusing on the needs of specific scenarios. It elaborates on the impact of shoes on health, reviews historical evolution and technological advancements, and analyzes market demand, with a particular emphasis on the unique requirements of shoe design in flight environments. The paper also discusses future development directions, including the integration of smart technology and healthcare. It emphasizes the importance of balancing comfort, functionality, and safety in design, while highlighting the significance of innovation and technological progress. This research provides a theoretical foundation and practical guidance for meeting diverse needs.
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Mohd Razin, Muhammad Aiman, Muhammad Afif Husman, Siti Fauziah Toha, and Aisyah Ibrahim. "Design of Smart Shoes for Blind People." Journal of Integrated and Advanced Engineering (JIAE) 3, no. 1 (2023): 79–86. http://dx.doi.org/10.51662/jiae.v3i1.89.
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Our daily lives depend heavily on our eyes. Eyesight is our most valuable gift, enabling us to see the world around us. However, some people suffer from visual impairments that hinder their ability to visualize such things. As a result, such people will experience difficulties moving comfortably in public places. One crucial aspect of mobile accessibility is detecting elevation changes. These include changes in the height of the ground or a floor, such as stairs, curbing, and potholes. They are common in both indoor and outdoor environments. People who are blind or visually impaired must detect these changes and assess their distance and extent to navigate them safely and effectively. Depth perception is essential to doing so and can be challenging for those with visual impairments. Therefore, this research aims to design a smart shoe that assists in climbing up and down the stairs using an IMU sensor to detect the user's movement. Before constructing a controller, the system is modelled using mathematical and physical modelling. Mathematical modelling is derived based on the mobility of people with visual impairment. The smart shoes are modelled in a 3D virtual world using the SolidWorks software. In addition, the shoe integrates with ultrasonic sensors whenever it detects any obstacles or barriers; they alert the users via vibration. This resulted in the intelligent shoes unlocking the heels whenever the low or high elevation was detected and vibrating if there was an obstacle. With the help of this device, the confidence level of people with visual impairment to walk independently will be improved.
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Sari, Salwa Rizki Desi Ayunda, and Imanuddin Hasbi. "ANALISIS STRATEGI PENGEMBANGAN BISNIS MENGGUNAKAN SMART BUSINESS MAP PADA D’WAN SHOES." Citizen : Jurnal Ilmiah Multidisiplin Indonesia 2, no. 3 (2022): 469–81. http://dx.doi.org/10.53866/jimi.v2i3.128.
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In the last two years, the Covid-19 pandemic has hit many countries, including Indonesia. The impact of this is that many parties are harmed so many businesses change their way of selling, namely by utilizing the use of the internet. In contrast to this phenomenon, one of the entrepreneurs in the Cibaduyut Shoe Center area, namely D'Wan Shoes, still sells conventionally by implementing the Business to Business system. Therefore, the purpose of this research is to develop and map a new business strategy for D'Wan Shoes using a Smart Business Map. The method used in this research is descriptive qualitative analysis by analyzing the Playing Field and Market Landscape sections of D'Wan Shoes. Based on the results of the research that has been done, it can be seen that there are still shortcomings that need to be evaluated to be clearer and structured. The conclusion of this research is that D'Wan Shoes needs to do market research before launching the product, expand the target market to all over Indonesia, and make product innovations such as shoe models and sales methods, namely providing custom services. If things happen that are beyond D'Wan Shoes' control, such as government policies, changes in technology, and consumer behavior, D'Wan Shoes needs to prepare alternative ideas or adapt to these changes. Then they can take advantage of the production process to become the company's value proposition to compete with competitors. Planned campaigns and promotions will be carried out through social media by conducting paid promotions from features that already exist in several applications (Facebook Ads, Instagam Ads, Tiktok Ads), then using endorsement services from influencers. To make it easier for consumers to get D'Wan Shoes products, they must have an online store in the marketplace or company social media accounts.
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Dombale, Anita. "Smart Shoes for Blind People." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 2474–79. http://dx.doi.org/10.22214/ijraset.2023.57058.
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Abstract: Smart Shoes for blind people are a technological solution that aims to improve the mobility and independence of visually impaired individuals. The smart shoes are equipped with a variety of sensors and technologies that work together to provide real-time feedback about the user's surroundings, obstacles, and navigation directions. The main components of the smart shoes include an inertial measurement unit (IMU), GPS receiver, microcontroller, Bluetooth module, and a haptic feedback mechanism. The IMU consists of sensors such as accelerometers and gyroscopes that measure the movement and orientation of the shoe. The GPS receiver provides location data that is used to calculate the user's position and orientation. The microcontroller processes the sensor data and runs a navigation algorithm that calculates the safest and most efficient route for the user to take. The algorithm takes into account factors such as the user's destination, the terrain, obstacles, and other environmental factors. The Bluetooth module enables the user to connect to a smartphone or other device to receive audio or visual instructions and feedback. The haptic feedback mechanism, such as vibrating motors, provides tactile feedback to the user about the direction and proximity of obstacles. Smart shoes for blind people offer a unique and innovative solution to improve the mobility and independence of visually impaired individuals. They provide real-time feedback and navigation directions to help users navigate their environment safely and efficiently
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Drăgulinescu, Andrei, Ana-Maria Drăgulinescu, Gabriela Zincă, Doina Bucur, Valentin Feieș, and Dumitru-Marius Neagu. "Smart Socks and In-Shoe Systems: State-of-the-Art for Two Popular Technologies for Foot Motion Analysis, Sports, and Medical Applications." Sensors 20, no. 15 (2020): 4316. http://dx.doi.org/10.3390/s20154316.
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The present paper reviews, for the first time, to the best of our knowledge, the most recent advances in research concerning two popular devices used for foot motion analysis and health monitoring: smart socks and in-shoe systems. The first one is representative of textile-based systems, whereas the second one is one of the most used pressure sensitive insole (PSI) systems that is used as an alternative to smart socks. The proposed methods are reviewed for smart sock use in special medical applications, for gait and foot pressure analysis. The Pedar system is also shown, together with studies of validation and repeatability for Pedar and other in-shoe systems. Then, the applications of Pedar are presented, mainly in medicine and sports. Our purpose was to offer the researchers in this field a useful means to overview and select relevant information. Moreover, our review can be a starting point for new, relevant research towards improving the design and functionality of the systems, as well as extending the research towards other areas of applications using sensors in smart textiles and in-shoe systems.
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PRASANNA, DEVI, K. MOHANA PRIYA, PALANISAMY MEENAKKSHI, S. PRIYA, and R. PRUTHVI RAJ. "A SMART SHOE FOR VISUALLY IMPAIRED PEOPLE." i-manager’s Journal on Embedded Systems 9, no. 2 (2021): 29. http://dx.doi.org/10.26634/jes.9.2.18146.
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Durga, Prasad Amballa. "Haptic Feedback-Enabled Smart Shoes for Visually Impaired Navigation Assistance." Journal of Scientific and Engineering Research 5, no. 1 (2018): 266–70. https://doi.org/10.5281/zenodo.11667290.
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This paper presents the design and development of a novel assistive technology for visually impaired individuals in the form of haptic feedback-enabled smart shoes. The system utilizes an array of sensors, including gyroscopes and accelerometers, integrated into the shoes to detect the user's movement and orientation. A smartphone application communicates with the shoes via Bluetooth Low Energy (BLE) and provides navigation instructions to guide the user to their desired destination. Haptic feedback, delivered through vibrators embedded in the shoes, conveys turn-by-turn directions and proximity alerts. The main challenge encountered during development was maintaining a stable BLE connection, as the antenna was enclosed within the shoe pods. This issue was resolved by using a metal casing for the pods, which amplified the BLE signal when in contact with the antenna. Preliminary user testing demonstrates the effectiveness of the system in aiding visually impaired individuals to navigate independently and safely.
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Liu, Yuxi, Tianshuo Zang, Bingzhou Xu, Xinyi Wu, and Yizhen Qian. "Smart Shoe Storage Controlled by One-Chip Computer." IOP Conference Series: Earth and Environmental Science 632 (January 14, 2021): 032004. http://dx.doi.org/10.1088/1755-1315/632/3/032004.
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许, 芮. "Research on the Design of Smart Shoe Cabinets." Design 08, no. 04 (2023): 4127–39. http://dx.doi.org/10.12677/design.2023.84506.
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Mazina, J., L. Shokorova, and I. Chechevatkin. "Design of the designershoes with the use of innovative technologies." Bulletin of the Innovative University of Eurasia 80, no. 4 (2020): 115–21. http://dx.doi.org/10.37788/2020-4/115-121.
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The article discusses methods for creating smart things, using the example of the use of innovative technologies in the field of materials for clothing and footwear. The factors of form formation are substantiated by the example of the preferences of an individual customer who forms its image through accessories and shoes. The author considers the factors of shaping, based on the special functional features of shoes in connection with ergonomic factors. The designer is able to foresee the factor of transformability in modern footwear, changes in functional qualities, appearance, and design features of new footwear. As a result, on the basis of these transformations, to get a new emotional image and a new form. The shape of the shoe becomes a factor for transformations at the request of the customer. The article discusses the functional tasks of this shoe, plastic characteristics, technical and design tasks. As research methods, the article proposes variants of experimental models with possible stages of transformation, presents preliminary technical data, conducts a comparative analysis with innovative footwear samples of famous world designers, and makes assumptions about the development of this model in the future. An experimental method was used during the study. A shoe shape was developed, which took into account the preferences of the age group of 12-16 years old, relying on this category of consumers, we were able to go beyond the rational understanding of shoes as a functional form and gave it the meaning of a fantastic image, which allowed us to consider the form in the semantic and artistic context dictated by this age group of consumers. In addition, investing in this model the concept of "smart shoes", we considered not only the ability of modification and transformation by rearranging replaceable parts, the possibility of designing and reincarnating from one form to another, combining the constituent elements of the shoe into one whole, but also the development of the creative potential of the consumer, who at its own discretion can rebuild the structure and, in fact, as a designer itself, form a new model. The article makes assumptions about its further development in various fields of activity. For example, medicine, sports, art, etc. Considering the introduction of new materials, we relied on discoveries in the field of nanotechnology and considered among the possible features of this model the change in color on the basis, the reaction of materials to light, temperature, etc. The project is aimed at creating such shoes that will be developed for a wide range of consumers thanks to the wide range of possibilities contained in the design of the form and the features of modern materials.
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Demazeux, Maeva, and Rudy Houque. "Revolutionary applications of smart textiles: from shoe #choose to medical optical fibers: a case study of BLUEGRioT’s innovations." Journal of Textile Engineering & Fashion Technology 9, no. 6 (2023): 203–4. http://dx.doi.org/10.15406/jteft.2023.09.00357.
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This article explores the innovative use of smart textiles in various industries, focusing on the contributions of BLUEGRioT and Brochier Technologies. It highlights key products like the #choose connected shoe, medical applications of optical fiber textiles, and the Fusio Watch, demonstrating the versatility and impact of smart textiles.
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Zhou, Han, Feng Zhao, Danping Chen, and Huimin Han. "Research on the Application of Computer Aided Technology in Mechanical Innovation Design." Journal of Physics: Conference Series 2029, no. 1 (2021): 012146. http://dx.doi.org/10.1088/1742-6596/2029/1/012146.
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Abstract In this paper, Creo technology as a means to achieve innovative suspension design smart shoe, for example, describes computer-aided 3D modeling technology in mechanical product design, kinematics analysis, application of intelligent control and other aspects. And through sample manufacturing verification, the shoe cabinet has stable performance and reliable operation, and summarizes the feasible application methods and advantages of computer-aided technology in the innovative design of mechanical products.
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Ren, Dian, Nathanael Aubert-Kato, Emi Anzai, Yuji Ohta, and Julien Tripette. "Random forest algorithms for recognizing daily life activities using plantar pressure information: a smart-shoe study." PeerJ 8 (October 28, 2020): e10170. http://dx.doi.org/10.7717/peerj.10170.
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Background Wearable activity trackers are regarded as a new opportunity to deliver health promotion interventions. Indeed, while the prediction of active behaviors is currently primarily relying on the processing of accelerometer sensor data, the emergence of smart clothes with multi-sensing capacities is offering new possibilities. Algorithms able to process data from a variety of smart devices and classify daily life activities could therefore be of particular importance to achieve a more accurate evaluation of physical behaviors. This study aims to (1) develop an activity recognition algorithm based on the processing of plantar pressure information provided by a smart-shoe prototype and (2) to determine the optimal hardware and software configurations. Method Seventeen subjects wore a pair of smart-shoe prototypes composed of plantar pressure measurement insoles, and they performed the following nine activities: sitting, standing, walking on a flat surface, walking upstairs, walking downstairs, walking up a slope, running, cycling, and completing office work. The insole featured seven pressure sensors. For each activity, at least four minutes of plantar pressure data were collected. The plantar pressure data were cut in overlapping windows of different lengths and 167 features were extracted for each window. Data were split into training and test samples using a subject-wise assignment method. A random forest model was trained to recognize activity. The resulting activity recognition algorithms were evaluated on the test sample. A multi hold-out procedure allowed repeating the operation with 5 different assignments. The analytic conditions were modulated to test (1) different window lengths (1–60 seconds), (2) some selected sensor configurations and (3) different numbers of data features. Results A window length of 20 s was found to be optimum and therefore used for the rest of the analysis. Using all the sensors and all 167 features, the smart shoes predicted the activities with an average success of 89%. “Running” demonstrated the highest sensitivity (100%). “Walking up a slope” was linked with the lowest performance (63%), with the majority of the false negatives being “walking on a flat surface” and “walking upstairs.” Some 2- and 3-sensor configurations were linked with an average success rate of 87%. Reducing the number of features down to 20 does not alter significantly the performance of the algorithm. Conclusion High-performance human behavior recognition using plantar pressure data only is possible. In the future, smart-shoe devices could contribute to the evaluation of daily physical activities. Minimalist configurations integrating only a small number of sensors and computing a reduced number of selected features could maintain a satisfying performance. Future experiments must include a more heterogeneous population.
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Joseph, Anna M., Azadeh Kian, and Rezaul Begg. "Enhancing Intelligent Shoes with Gait Analysis: A Review on the Spatiotemporal Estimation Techniques." Sensors 24, no. 24 (2024): 7880. https://doi.org/10.3390/s24247880.
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The continuous, automated monitoring of sensor-based data for walking capacity and mobility has expanded gait analysis applications beyond controlled laboratory settings to real-world, everyday environments facilitated by the development of portable, cost-efficient wearable sensors. In particular, the integration of Inertial Measurement Units (IMUs) into smart shoes has proven effective for capturing detailed foot movements and spatiotemporal gait characteristics. While IMUs enable accurate foot trajectory estimation through the double integration of acceleration data, challenges such as drift errors necessitate robust correction techniques to ensure reliable performance. This review analyzes current literature on shoe-based systems utilizing IMUs to estimate spatiotemporal gait parameters and foot trajectory characteristics, including foot–ground clearance. We explore the challenges and advancements in achieving accurate 3D foot trajectory estimation using IMUs in smart shoes and the application of advanced techniques like zero-velocity updates and error correction methods. These developments present significant opportunities for achieving reliable and efficient real-time gait assessment in everyday environments.
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Cui, Tong Zhan, Rafiu King Raji, Jian Lin Han, and Yuan Chen. "Application of 3D Printing Technology in Footwear Design and Manufacture – A Review of Developing Trends." Textile & Leather Review 7 (September 5, 2024): 1304–21. http://dx.doi.org/10.31881/tlr.2024.151.
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The advent of 3D printing (3DP) has garnered significant interest from both academia and industry due to its potential to revolutionize engineering, manufacturing, and through its utilization of advanced materials. Even though the application of 3D printing in footwear design and manufacture is quite appreciated, academic discourse on the subject relative to footwear design and manufacture is rather scarce compared to other fields such as pharmaceuticals, electronics and food. The purpose of this review is to explore the techniques, the application trends and the impact of 3D printing technology concerning footwear design and manufacture. Using relevant data from many relevant sources, this study uncovered that 3D printing has significantly impacted shoe design and manufacture by enhancing production efficiency, environmental sustainability, material innovation and Inter-Industry Collaborative Projects among others. Most of the major players in the footwear industry such as Nike, Adidas, Reebok and New Balance already have many footwear releases based on 3D printing. Also discussed are some specific areas in which 3D printing is being applied in footwear design and manufacture. These areas include but are not limited to the design of smart shoes, shoe lasts, complex shoe geometries, avant-garde concept shoes and so on. This study is of particular importance to stakeholders in the footwear research and design industry as it provides important information about the current trends as well as the impact of 3D printing technology on the sector.
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Luna-Perejón, Francisco, Blas Salvador-Domínguez, Fernando Perez-Peña, José María Rodríguez Corral, Elena Escobar-Linero, and Arturo Morgado-Estévez. "Smart Shoe Insole Based on Polydimethylsiloxane Composite Capacitive Sensors." Sensors 23, no. 3 (2023): 1298. http://dx.doi.org/10.3390/s23031298.
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Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-established technique. The use of intelligent insoles allows real-time monitoring of the user. Thus, collecting and analyzing information is a more accurate process than consultations in so-called gait laboratories. Most of the previous published studies consider the composition and operation of these insoles based on resistive sensors. However, the use of capacitive sensors could provide better results, in terms of linear behavior under the pressure exerted. This behavior depends on the properties of the dielectric used. In this work, the design and implementation of an intelligent plantar insole composed of capacitive sensors is proposed. The dielectric used is a polydimethylsiloxane (PDMS)-based composition. The sensorized plantar insole developed achieves its purpose as a tool for collecting pressure in different areas of the sole of the foot. The fundamentals and details of the composition, manufacture, and implementation of the insole and the system used to collect data, as well as the data samples, are shown. Finally, a comparison of the behavior of both insoles, resistive and capacitive sensor-equipped, is made. The prototype presented lays the foundation for the development of a tool to support the diagnosis of gait abnormalities.
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Luna, Perejón Francisco, Domínguez Blas Salvador, Peña Fernando Pérez, Corral José María Rodríguez, Linero Elena Escobar, and Estévez Arturo Morgado. "Smart Shoe Insole Based on Polydimethylsiloxane Composite Capacitive Sensors." Sensors 23, no. 3 (2023): 1298. https://doi.org/10.3390/s23031298.
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Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-established technique. The use of intelligent insoles allows real-time monitoring of the user. Thus, collecting and analyzing information is a more accurate process than consultations in so-called gait laboratories. Most of the previous published studies consider the composition and operation of these insoles based on resistive sensors. However, the use of capacitive sensors could provide better results, in terms of linear behavior under the pressure exerted. This behavior depends on the properties of the dielectric used. In this work, the design and implementation of an intelligent plantar insole composed of capacitive sensors is proposed. The dielectric used is a polydimethylsiloxane (PDMS)-based composition. The sensorized plantar insole developed achieves its purpose as a tool for collecting pressure in different areas of the sole of the foot. The fundamentals and details of the composition, manufacture, and implementation of the insole and the system used to collect data, as well as the data samples, are shown. Finally, a comparison of the behavior of both insoles, resistive and capacitive sensor-equipped, is made. The prototype presented lays the foundation for the development of a tool to support the diagnosis of gait abnormalities.
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Anusuya, Patil, Gouda G. Akash, Muskan Ayesha, R. Hemanth, and Annapurna Thasmaya. "Design and Development of Smart Shoe For Blind People." Journal of Scholastic Engineering Science and Management (A Peer Reviewed Refereed Multidisciplinary Research Journal) 4, no. 1 (2025): 97–103. https://doi.org/10.5281/zenodo.14793682.
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This project presents the development of a Smart Shoe for Blind People using Arduino to assist visually impaired individuals in navigating their surroundings safely and independently. The system integrates an ultrasonic sensor to detect obstacles within a predefined range and a buzzer to alert the user. The ultrasonic sensor measures the distance to obstacles by emitting ultrasonic waves and detecting the reflected signal. The Arduino microcontroller processes the sensor's input and triggers the buzzer if an obstacle is detected within a critical range.
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Tiwari, Bhawnath, Kenny Jeanmonod, Paolo Germano, et al. "A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients." Applied System Innovation 7, no. 1 (2024): 9. http://dx.doi.org/10.3390/asi7010009.
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Plantar pressure plays a crucial role in the pathogenesis of foot ulcers among patients with diabetes and peripheral polyneuropathy. Pressure relief is a key requirement for both the prevention and treatment of plantar ulcers. Conventional medical practice to enable such an action is usually realized by means of dedicated insoles and special footwear. Another technique for foot pressure offloading (not in medical practice) can be achieved by sensing/estimating the current state (pressure) and, accordingly, enabling a pressure release mechanism once a defined threshold is reached. Though these mechanisms can make plantar pressure monitoring and release possible, overall, they make shoes bulkier, power-dependent, and expensive. In this work, we present a passive and self-offloading alternative to keep plantar pressure within a defined safe limit. Our approach is based on the use of a permanent magnet, taking advantage of its non-linear field reduction with distance. The proposed solution is free from electronics and is a low-cost alternative for smart shoe development. The overall size of the device is 13 mm in diameter and 30 mm in height. The device allows more than 20-times the tunability of the threshold pressure limit, which makes it possible to pre-set the limit as low as 38 kPa and as high as 778 kPa, leading to tunability within a wide range. Being a passive, reliable, and low-cost alternative, the proposed solution could be useful in smart shoe development to prevent foot ulcer development. The proposed device provides an alternative for offloading plantar pressure that is free from the power feeding requirement. The presented study provides preliminary results for the development of a complete offloading shoe that could be useful for the prevention/care of foot ulcers among diabetic patients.
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Purba, Rido, M. Arian L. Sinaga, Sarwoto Sarwoto, and Cia Cai Cen. "Peran Kepuasan Pelanggan Dalam Mediasi Pengaruh Kualitas Pelayanan Dan Discount Terhadap Impulse Buying Pelanggan Toko Sepatu Stars." Management And Business Progress 3, no. 2 (2024): 144–54. https://doi.org/10.70021/mbp.v3i2.183.
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This research uses approach study quantitative with type study purposeful explanatory research For analyze How connection between One variable with variable other . Population in this research is customer Stars Tebing Tinggi Shoe shop , numbering 96 people. Tools analysis : validity test, test reliability, statistical t test and indirect effect test with use Smart tools PLS 3.0.Results of this research shows that quality service influential significant to satisfaction customers , discounts influential to satisfaction customers, quality service influential against impulse buying , discounts influential to impulse buying , satisfaction settlement influential to impulse buying , and quality service as well as influence discount to satisfaction customer as intervening variable.
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Sarma, Mr V. Rama Krishna. "Smart Wearable Shoe for Tracking and Monitoring of Army Soldiers." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 2999–3006. http://dx.doi.org/10.22214/ijraset.2021.35170.
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Resource following alludes to the technique for following noticeable resources by examining scanner tag labels appended to products or utilizing GPS, BLE or RFID to send area labels. RFID labels can spread their area, however the transmission distance is restricted (a couple of meters). Resources can be followed by manual examining of scanner tags, (for example, QR codes). You can check a QR code utilizing a cell phone with a camera and a committed program, just as a standardized identification reader. Yet, the entirety of this has its impediments. In our system the user can be able to track the location of the asset once it has been moved in a long distance or stolen. This project utilizes long distance RF communication modules such as LoRa modules which provide long distance communication in terms of kilometres. The LoRa modules can be distributed across the city for tracking of the asset. As the asset moves around the city, the location of that asset is been transmitted to a nearby LoRa which is then transmitted to the mobile app developed independently for tracking the asset
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Nguyen, Luan V., Hung M. La, Jesus Sanchez, and Tam Vu. "A Smart Shoe for building a real-time 3D map." Automation in Construction 71 (November 2016): 2–12. http://dx.doi.org/10.1016/j.autcon.2016.03.001.
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Shakya, Sanjeev, Attaphongse Taparugssanagorn, and Chaklam Silpasuwanchai. "Convolutional Neural Network-Based Low-Powered Wearable Smart Device for Gait Abnormality Detection." IoT 4, no. 2 (2023): 57–77. http://dx.doi.org/10.3390/iot4020004.
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Gait analysis is a powerful technique that detects and identifies foot disorders and walking irregularities, including pronation, supination, and unstable foot movements. Early detection can help prevent injuries, correct walking posture, and avoid the need for surgery or cortisone injections. Traditional gait analysis methods are expensive and only available in laboratory settings, but new wearable technologies such as AI and IoT-based devices, smart shoes, and insoles have the potential to make gait analysis more accessible, especially for people who cannot easily access specialized facilities. This research proposes a novel approach using IoT, edge computing, and tiny machine learning (TinyML) to predict gait patterns using a microcontroller-based device worn on a shoe. The device uses an inertial measurement unit (IMU) sensor and a TinyML model on an advanced RISC machines (ARM) chip to classify and predict abnormal gait patterns, providing a more accessible, cost-effective, and portable way to conduct gait analysis.
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Sunarya, Unang, Yuli Sun Hariyani, Taeheum Cho, et al. "Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns." Sensors 20, no. 21 (2020): 6253. http://dx.doi.org/10.3390/s20216253.
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Gait analysis is commonly used to detect foot disorders and abnormalities such as supination, pronation, unstable left foot and unstable right foot. Early detection of these abnormalities could help us to correct the walking posture and avoid getting injuries. This paper presents extensive feature analyses on smart shoes sensor data, including pressure sensors, accelerometer and gyroscope signals, to obtain the optimum combination of the sensors for gait classification, which is crucial to implement a power-efficient mobile smart shoes system. In addition, we investigated the optimal length of data segmentation based on the gait cycle parameters, reduction of the feature dimensions and feature selection for the classification of the gait patterns. Benchmark tests among several machine learning algorithms were conducted using random forest, k-nearest neighbor (KNN), logistic regression and support vector machine (SVM) algorithms for the classification task. Our experiments demonstrated the combination of accelerometer and gyroscope sensor features with SVM achieved the best performance with 89.36% accuracy, 89.76% precision and 88.44% recall. This research suggests a new state-of-the-art gait classification approach, specifically on detecting human gait abnormalities.
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Kang, Yerin, and Chihoon Lee. "Seoul's Shoe Silo: A Vertical Smart Anchor for the Small Manufacturer." Architectural Design 91, no. 5 (2021): 114–19. http://dx.doi.org/10.1002/ad.2740.
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Durga, Prasad Amballa. "Indoor Navigation for the Visually Impaired Using Haptic Feedback-Enabled Smart Shoes and Beacon-Based Mapping." Journal of Scientific and Engineering Research 6, no. 1 (2019): 255–59. https://doi.org/10.5281/zenodo.12787533.
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Building upon the previously developed haptic feedback-enabled smart shoe system for visually impaired navigation, this paper presents an extension of the technology to enable accurate indoor navigation in large public spaces such as museums, airports, and libraries. The key innovation is the integration of a mapping and localization technique that combines beacon-based positioning with inertial sensing to overcome the limitations of GPS in indoor environments. The system creates a virtual map of the indoor space using strategically placed Bluetooth Low Energy (BLE) beacons, which are used to provide absolute position references. The smartphone application generates optimal routes based on the virtual map and user's destination, and provides turn-by-turn instructions to the smart shoes via BLE. Haptic feedback is used to convey navigation cues and proximity alerts to the user. Experimental results demonstrate the system's ability to achieve sub-meter localization accuracy and reliable navigation guidance in complex indoor environments. This technology has the potential to greatly enhance the accessibility and independence of visually impaired individuals in a wide range of public spaces.
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Lee, Sunghoon I., Hyo Suk Nam, Jordan H. Garst, et al. "Unobtrusive and Continuous Monitoring of Alcohol-impaired Gait Using Smart Shoes." Methods of Information in Medicine 56, no. 01 (2017): 74–82. http://dx.doi.org/10.3414/me15-02-0008.
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SummaryBackground: Alcohol ingestion influences sensory-motor function and the overall well-being of individuals. Detecting alcoholinduced impairments in gait in daily life necessitates a continuous and unobtrusive gait monitoring system.Objectives: This paper introduces the development and use of a non-intrusive monitoring system to detect changes in gait induced by alcohol intoxication.Methods: The proposed system employed a pair of sensorized smart shoes that are equipped with pressure sensors on the insole. Gait features were extracted and adjusted based on individual’s gait profile. The adjusted gait features were used to train a machine learning classifier to discriminate alcohol-impaired gait from normal walking. In experiment of pilot study, twenty participants completed walking trials on a 12 meter walkway to measure their sober walking and alcohol-impaired walking using smart shoes.Results: The proposed system can detect alcohol-impaired gait with an accuracy of 86.2% when pressure value analysis and person-dependent model for the classifier are applied, while statistical analysis revealed that no single feature was discriminative for the detection of gait impairment.Conclusions: Alcohol-induced gait disturbances can be detected with smart shoe technology for an automated monitoring in ubiquitous environment. We demonstrated that personal monitoring and machine learning-based prediction could be customized to detect individual variation rather than applying uniform boundary parameters of gait.
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Septiyani, Sati. "Social Media Marketing as a Catalyst for Brand Awareness and Purchase Decisions: Evidence from New Balance Shoe Consumers." Journal of Business, Management, and Social Studies 4, no. 2 (2025): 112–22. https://doi.org/10.53748/jbms.v4i2.101.
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The purpose of this study is to determine the influence of Social Media Marketing and Brand Awareness on the decision to purchase New Balance brand shoes, and this study focuses on New Balance shoe consumers. A quantitative methodology is employed in this study, utilizing a cluster sampling technique to gather data from a minimum of 96 respondents through questionnaires distributed via Google Forms, with the analysis conducted using Smart PLS SEM software to explore the relationships between service quality, price, perceived value, and customer satisfaction. Social media marketing significantly influences both purchasing decisions and brand awareness for New Balance shoe products, confirming the hypotheses that higher engagement and effectiveness in social media marketing lead to increased consumer purchasing behavior and brand recognition. Additionally, brand awareness itself has a substantial impact on purchase decisions, suggesting that as consumers become more aware of and familiar with the brand, they are more likely to choose it when making purchasing decisions, thereby highlighting the interconnected roles of social media marketing and brand awareness in driving consumer behavior. The novelty of this research lies in its comprehensive examination of the interconnected relationships between social media marketing, brand awareness, and purchasing decisions specifically within the context of New Balance shoes. While previous studies have explored these variables in isolation, this research uniquely integrates them to demonstrate how effective social media marketing not only enhances brand awareness but also directly influences consumer purchasing behavior.
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Sanghavi, Foram, Obafemi Jinadu, Victor Oludare, Karen Panetta, Landry Kezebou, and Susan B. Roberts. "An Individualized Machine Learning Approach for Human Body Weight Estimation Using Smart Shoe Insoles." Sensors 23, no. 17 (2023): 7418. http://dx.doi.org/10.3390/s23177418.
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Rapid significant weight fluctuations can indicate severe health conditions such as edema due to congestive heart failure or severe dehydration that could require prompt intervention. Daily body weighing does not accurately represent the patient’s body weight fluctuations occurring within a day. The patient’s lack of compliance with tracking their weight measurements is also a predominant issue. Using shoe insole sensors embedded into footwear could achieve accurate real-time monitoring systems for estimating continuous body weight changes. Here, the machine learning models’ predictive capabilities for continuous real-time weight estimation using the insole data are presented. The lack of availability of public datasets to feed these models is also addressed by introducing two novel datasets. The proposed framework is designed to adapt to the patient, considering several unique factors such as shoe type, posture, foot shape, and gait pattern. The proposed framework estimates the mean absolute percentage error of 0.61% and 0.74% and the MAE of 1.009 lbs. and 1.154 lbs. for the less controlled and more controlled experimental settings, respectively. This will help researchers utilize machine learning techniques for more accurate real-time continuous weight estimation using sensor data and enable more reliable aging-in-place monitoring and telehealth.
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Srivastava, Rupal, Saeed Hamood Alsamhi, Niall Murray, and Declan Devine. "Shape Memory Alloy-Based Wearables: A Review, and Conceptual Frameworks on HCI and HRI in Industry 4.0." Sensors 22, no. 18 (2022): 6802. http://dx.doi.org/10.3390/s22186802.
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Ever since its discovery, the applications of Shape Memory Alloys (SMA) can be found across a range of application domains, from structural design to medical technology. This is based upon the unique and inherent characteristics such as thermal Shape Memory Effect (SME) and Superelasticity (or Pseudoelasticity). While thermal SME is used for shape morphing applications wherein temperature change can govern the shape and dimension of the SMA, Superelasticity allows the alloy to withstand a comparatively very high magnitude of loads without undergoing plastic deformation at higher temperatures. These unique properties in wearables have revolutionized the field, and from fabrics to exoskeletons, SMA has found its place in robotics and cobotics. This review article focuses on the most recent research work in the field of SMA-based smart wearables paired with robotic applications for human-robot interaction. The literature is categorized based on SMA property incorporated and on actuator or sensor-based concept. Further, use-cases or conceptual frameworks for SMA fiber in fabric for ‘Smart Jacket’ and SMA springs in the shoe soles for ‘Smart Shoes’ are proposed. The conceptual frameworks are built upon existing technologies; however, their utility in a smart factory concept is emphasized, and algorithms to achieve the same are proposed. The integration of the two concepts with the Industrial Internet of Things (IIoT) is discussed, specifically regarding minimizing hazards for the worker/user in Industry 5.0. The article aims to propel a discussion regarding the multi-faceted applications of SMAs in human-robot interaction and Industry 5.0. Furthermore, the challenges and the limitations of the smart alloy and the technological barriers restricting the growth of SMA applications in the field of smart wearables are observed and elaborated.
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Chang, Che-Wei. "Evaluation of Smart Alarm Systems for Industry 4.0 Technologies." Applied Sciences 10, no. 6 (2020): 2022. http://dx.doi.org/10.3390/app10062022.
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Traditionally, the footwear industry is labor intensive, and cost control is key to ensuring shoe companies can be competitive. The development of Industry 4.0 concepts, used in high-tech industries and blockchain production information systems, enables the creation of smart factories with online alarm management systems, to improve manufacturing efficiency and reduce human resource requirements. In this paper, the performances of the causal association assessment model and the technique for order preference by similarity to the ideal solution (TOPSIS) model in evaluating large data blockchain technologies and quality online real-time early warning systems for production and raw material supplier management are compared, to increase the intelligence of production and to manage product traceability.
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Ram, Malarvizhi, Vasilios Baltzopoulos, Andy Shaw, et al. "A Novel Smart Shoe Instrumented with Sensors for Quantifying Foot Placement and Clearance during Stair Negotiation." Sensors 23, no. 24 (2023): 9638. http://dx.doi.org/10.3390/s23249638.
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Trips and slips are significant causal perturbations leading to falls on stairs, especially in older people. The risk of a trip caused by a toe or heel catch on the step edge increases when clearance is small and variable between steps. The risk of a slip increases if the proportion of the foot area in contact with the step is reduced and variable between steps. To assess fall risk, these measurements are typically taken in a gait lab using motion-capture optoelectronic systems. The aim of this work was to develop a novel smart shoe equipped with sensors to measure foot placement and foot clearance on stairs in real homes. To validate the smart shoe as a tool for estimating stair fall risk, twenty-five older adults’ sensor-based measurements were compared against foot placement and clearance measurements taken in an experimental staircase in the lab using correlations and Bland–Altman agreement techniques. The results showed that there was a good agreement and a strong positive linear correlation for foot placement (r = 0.878, p < 0.000) and foot clearance (r = 0.967, p < 0.000) between sensor and motion analysis, offering promise for advancing the current prototype into a measurement tool for fall risk in real-life staircases.
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De Guzman, Sarah, Andrew Lowe, Cylie Williams, Anubha Kalra, and Gautam Anand. "Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors." Sensors 22, no. 23 (2022): 9499. http://dx.doi.org/10.3390/s22239499.
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Knowledge of foot growth can provide information on the occurrence of children’s growth spurts and an indication of the time to buy new shoes. Podiatrists still do not have enough evidence as to whether footwear influences the structural development of the feet and associated locomotor behaviours. Parents are only willing to buy an inexpensive brand, because children’s shoes are deemed expendable due to their rapid foot growth. Consumers are not fully aware of footwear literacy; thus, views of consumers on children’s shoes are left unchallenged. This study aims to embed knitted smart textile sensors in children’s shoes to sense the growth and development of a child’s feet—specifically foot length. Two prototype configurations were evaluated on 30 children, who each inserted their feet for ten seconds inside the instrumented shoes. Capacitance readings were related to the proximity of their toes to the sensor and validated against foot length and shoe size. A linear regression model of capacitance readings and foot length was developed. This regression model was found to be statistically significant (p-value = 0.01, standard error = 0.08). Results of this study indicate that knitted textile sensors can be implemented inside shoes to get a comprehensive understanding of foot development in children.