Posture detection using WBAN and its application in remote healthcare monitoring

Bhattacharya, Tanima, Biswas, Suparna, Aslam, Nauman and Chattopadhyay, Samiran (2016) Posture detection using WBAN and its application in remote healthcare monitoring. In: WiSPNET - 2016 International Conference on Wireless Communications, Signal Processing and Networking, 23rd - 25th March 2016, Chennia, India.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/WiSPNET.2016.7566498

Abstract

WBAN (Wireless Body Area Network) is a growing technology, preferred in medical science. WBAN sensors are now used to monitor postures of a person. Posture, playing a crucial role in a person's life can provide a significant amount of important information on nonverbal communication and emotional cues. In recent trend of research, BAN sensors are used to identify different postures of a person to correctly classify the health condition, as postures could potentially provide valuable clues about a person's health. This class of interaction poses new challenge in classifying both static and dynamic postures. Tri-axial accelerometer is required to find the tilt of a person with respect to the line passing through the centre of gravity. Based on the tilt, the posture is classified. This paper aims at uniquely distinguishing both static and dynamic postures. Fall can also be detected at the same time. A detailed deployment scenario, system architecture and a suitable algorithm are presented to illustrate the working of the proposed system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: WBAN, Tri-axial accelerometer
Subjects: B800 Medical Technology
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Ellen Cole
Date Deposited: 08 Nov 2016 15:22
Last Modified: 08 Nov 2016 15:22
URI: http://nrl.northumbria.ac.uk/id/eprint/28442

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