Quarterly Publication

Document Type : Original Article

Author

Government Information Headquarters Inspur Software Group Company Ltd, Jinan, China.

Abstract

Wearable technology, wearables, fashion technology, smart wear, skin electronics, or fashion electronics are smart electronic devices. Wearable technology has various applications that grow as the field expands. It appears prominently in consumer electronics with the popularization of the smartwatch and activity tracker. A popular activity tracker called the fit bit is widely used in the fitness industry to track calories and health-related goals. A popular smartwatch in the market is the Apple Watch. Apart from commercial uses, wearable technology is incorporated into navigation systems, advanced textiles, and healthcare. As wearable technology is being proposed for critical applications, it must be vetted for its reliability and security properties. Applications based on Wireless Sensor Networks (WSN) for Internet of Things (IoTs) scenarios are rising. The multiple possibilities they offer have spread towards previously hard-to-imagine fields, like e-health or human physiological monitoring. An application has been developed for its usage in scenarios where data collection is applied to smart spaces, aiming at its usage in firefighting and sports. This application has been tested in a gymnasium with real, non-simulated nodes and devices. A graphic user interface has been implemented to suggest a series of exercises to improve a sportsman/woman s condition, depending on the context and their profile. This system can be adapted to a wide variety of e-health applications with minimum changes, and the user will interact using different devices, like smartphones, smartwatches, and/or tablets.

Keywords

[1]     Darwish, A., & Hassanien, A. E. (2011). Wearable and implantable wireless sensor network solutions for healthcare monitoring. Sensors, 11(6), 5561–5595.
[2]     Safa, R., Bayat, P., & Moghtader, L. (2022). Developing clinical decision support systems in psychiatry using microblogging data. Journal of decisions and operations research, 7(2), 259–276.
[3]     Yeotkar, H. S., & Gaikwad, V. (2019). Iot based human body parameters monitoring by using wearable wireless sensor network. International research journal of engineering and technology (irjet), 6(07), 2458–2466.
[4]     Swami Durai, S. K., Duraisamy, B., & Thirukrishna, J. T. (2023). Certain investigation on healthcare monitoring for enhancing data transmission in WSN. International journal of wireless information networks, 30(1), 103–110. DOI: 10.1007/s10776-021-00530-x
[5]     Saif, S., Karmakar, K., Biswas, S., & Neogy, S. (2022). MLIDS: machine learning enabled intrusion detection system for health monitoring framework using BA-WSN. International journal of wireless information networks, 29(4), 491–502.
[6]     Kashyap, R. (2020). Applications of wireless sensor networks in healthcare. In IoT and wsn applications for modern agricultural advancements: emerging research and opportunities (pp. 8–40). IGI Global.
[7]     Garg, R. K., Bhola, J., & Soni, S. K. (2021). Healthcare monitoring of mountaineers by low power wireless sensor networks. Informatics in medicine unlocked, 27, 100775.
[8]     Miah, M. R., Rahman, A., Khan, M. S., Hannan, M. A., Hossain, M. S., Shahriar, C. S., … others. (2021). Effect of coronavirus worldwide through misusing of wireless sensor networks. American journal of bioinformatics research, 11(1), 1–31.
[9]     Fu, B. (2021). Wireless sensor network topology theory for data collection and analysis of sports training human body. Journal of sensors, 2021, 1–13.
[10]   Bao, Z. (2022). Crop health monitoring through WSN and IoT. Big data and computing visions, 2(4), 163–169.
[11]  Ali, A., & Alshmrany, S. (2019). Health monitoring and management system by using wireless sensor network and internet of things (IoT). International journal of computer network and information security, 19(12), 179–184.
[12]  Mohapatra, H., & Rath, A. K. (2020). Fault-tolerant mechanism for wireless sensor network. IET wireless sensor systems, 10(1), 23–30.
[13]  Mohapatra, H., & Rath, A. K. (2019). Detection and avoidance of water loss through municipality taps in India by using smart taps and ICT. IET wireless sensor systems, 9(6), 447–457.
[14]  Mohapatra, H., & Rath, A. K. (2020). Survey on fault tolerance-based clustering evolution in WSN. IET networks, 9(4), 145–155.
[15]  Mohapatra, H., & Rath, A. K. (2021). Fault tolerance in WSN through uniform load distribution function. International journal of sensors wireless communications and control, 11(4), 385–394.
[16]  Latchoumi, T. P., Swathi, R., Vidyasri, P., & Balamurugan, K. (2022). Develop new algorithm to improve safety on wmsn in health disease monitoring [presentation]. 2022 international mobile and embedded technology conference (mecon) (pp. 357–362).
[17]  Hassaballah, H. J., & Fayadh, R. A. (2020). Implementation of wireless sensor network for medical applications [presentation]. IOP conference series: materials science and engineering (Vol. 745, p. 12089).
[18]  Kumar, V., Badal, N., & Mishra, R. (2021). Body sensor networks architecture and security issues in healthcare application [presentation]. IOP conference series: materials science and engineering (Vol. 1022, p. 12075).
[19]  Mohapatra, H., & Rath, A. K. (2021). A fault tolerant routing scheme for advanced metering infrastructure: an approach towards smart grid. Cluster computing, 24(3), 2193–2211.
[20]  Abidi, B., Jilbab, A., & Mohamed, E. H. (2020). Wireless body area networks: a comprehensive survey. Journal of medical engineering & echnology, 44(3), 97–107.
[21] Doshi, H., & Shankar, A. (2021). Wireless sensor network application for iot-based healthcare system [presentation]. Data driven approach towards disruptive technologies: proceedings of midas 2020 (pp. 287–307).
[22]   Kumari, S., Sahu, S. S., Gupta, B., & Mishra, S. K. (2020). Energy harvesting via human body activities. In Smart biosensors in medical care (pp. 87–106). Elsevier.
[23]   Mohapatra, H., & Rath, A. K. (2021). An IoT based efficient multi-objective real-time smart parking system. International journal of sensor networks, 37(4), 219–232.