Title :
Web-based motion detection system for health care
Author :
Ruiling Gao ; Minghuan Zhao ; Zhihui Qiu ; Yu Yingzhou ; Chang, C. Hwa
Author_Institution :
Electr. & Comput. Eng. Dept., Tufts Univ., Medford, MA, USA
fDate :
June 28 2015-July 1 2015
Abstract :
Health care systems are increasingly equipped with wearable body sensors and smart-phones, offering intelligent monitoring and control. The Web of Things (WoT) integrates data from resource-constrained sensors into web applications and allows the realization of smart web-based healthcare systems. In this paper, a fully functional web-based motion detection system for health care is designed and implemented based on predefined requirements. We explored Contiki and its supported low-power wireless standards for 6LoWPAN-based Wireless Sensor Network (WSN) to address issues such as device registration and real-time bidirectional communication. We also designed a motion detection algorithm for this system. Further, a technical evaluation is presented to show the benefits of this kind of web-based healthcare systems in terms of performance and user experience. These methods and statistics are valuable for companies that are developing similar healthcare systems with these new and promising technologies.
Keywords :
Internet; Internet of Things; health care; wireless sensor networks; 6LoWPAN-based WSN; 6LoWPAN-based wireless sensor network; Contiki; Web of Things; Web-based motion detection system; WoT; device registration; intelligent monitoring and control; real-time bidirectional communication; resource-constrained sensors; smart Web-based healthcare systems; Medical services; Motion detection; Sensors; Standards; Web servers; Wireless sensor networks; 6LoWPAN; Contiki; Health Care; Motion Detection Algorithm; The Web of Things; Wireless Sensor Network;
Conference_Titel :
Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/ICIS.2015.7166571