Selected Articles from IEEE Xplore - January 2017
Introduction by Roozbeh Jafari, Texas A&M, USA
As wearable computers gain traction in the consumer and medical markets, the unflinching vision of unobtrusive, pervasive and continuous physiological and behavioral monitoring is taking hold in everyday life. These platforms provide new avenues to continuously monitor individuals, whether they are intended to detect an early onset of a disease, assess human performance or the effectiveness of a treatment. They provide opportunities to close the loop with the human or the physical environment and offer real-time feedback or actuation.
In the past few years, the community has observed a large number of applications that have been developed using wearable computers. There are a number of fundamental challenges that need to be addressed before realizing the true ubiquitous use of the wearable systems. Wearable computers are expected to offer connectivity when required by the applications, operate with ultra-low power to assure extended battery life and provide opportunities for seamless and opportunistic recharging. Although the scientific communities both in academia and industry have looked into some of the research tasks, many critical challenges still remain open.
IEEE Xplore References
- A. Kapoor, N. Engin and J. Verdaasdonk, "Leakage mitigation for low power microcontroller design in 40nm for Internet-of-Things (IoT)," 2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS), Sant Feliu de Guixols, 2016, pp. 126-129.
- K. I. K. Wang, A. Rajamohan, S. Dubey, S. A. Catapang and Z. Salcic, "A Wearable Internet of Things Mote with Bare Metal 6LoWPAN Protocol for Pervasive Healthcare," 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, Bali, 2014, pp. 750-756.
- J. Bito, M. M. Tentzeris and A. Georgiadis, "A hybrid heuristic design technique for real-time matching optimization for wearable near-field ambient RF energy harvesters," 2016 IEEE MTT-S International Microwave Symposium (IMS), San Francisco, CA, 2016, pp. 1-4.
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