Accelerometer-based human abnormal movement detection in wireless sensor networks

Authors:
T. Ryan Burchfield;S. Venkatesan
Affiliations:
University of Texas at Dallas;University of Texas at Dallas
Venue:
Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
Year:
2007

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Abstract

Wireless sensor networks have become increasingly common in everyday applications due to decreasing technology costs and improved product performance. An ideal application for wireless sensor networks is a biomedical patient monitoring tool. Wireless patient monitoring systems improve quality of life for the subject by granting them more freedom to continue their daily routine, which would not be feasible if wired monitoring equipment were used. This paper explores an application of wireless biomedical sensor networks, which attempts to monitor patients for a specific condition in a completely non-invasive, non-intrusive manner. This non-invasive technique uses an accelerometer to determine if a person's arm movement is similar to that of a person suffering from a seizure. The effectiveness of the presented algorithm has been verified on test subjects and showed rare occurrences of false positives.