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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 6 , ISSUE 5 (December 2013) > List of articles


Hou Honglun * / Huo Meimei * / Wu Minghui *

Keywords : Health Management, Daily Activity Monitoring, Physiological Parameters, Zigbee, Android, Fall Detection

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 5, Pages 2,200-2,216, DOI:

License : (CC BY-NC-ND 4.0)

Received Date : 01-July-2013 / Accepted: 19-November-2013 / Published Online: 23-December-2013



The rapid aging of the world’s population, along with an increase in the prevalence of chronic illnesses, requires adaption and modification of current healthcare models. New trends on healthcare technologies fall into the use of autonomous systems that allows the capturing and monitoring of physiological parameters anytime and anywhere. One approach involves tele-health applications, many of which are based on sensor technologies for unobtrusive monitoring. Recent technological advances, in particular, involving micro-electromechanical systems, have resulted in miniaturized wearable devices that can be used. In this paper, based-on our algorithms research, a ubiquitous personal health monitoring and system is designed, which integrates health-related sensory devices with the healthcare center cost-effectively. It can aid senior citizens and patients, especially elderly, who need long-term attention to their physical condition, like chronic diseases and falls, with ubiquitous surveillance and remote management of the recorded health data, and timely help.

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