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Proceedings Paper

Classification of people walking and jogging/running using multimodal sensor signatures
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Paper Abstract

In this paper, we address the issues involved in detecting and classifying people walking and jogging/running. When the people are walking, sensors observe the signals for a longer period compared to the case in which people are jogging. To identify fast-moving people, one must make the decision based on the few telltale signals generated by a person jogging: a higher impact of a foot on the ground, which can be monitored by seismic sensors; the panting noise observed through an acoustic sensor; or a higher Doppler from an ultrasonic sensor, to name few. First, we investigate the phenomenology associated with seismic signals generated by a person walking and jogging. Then, we analyze ultrasonic signatures to distinguish the characteristics associated with them. Finally, we develop the algorithms to detect and classify people walking and jogging. These algorithms are tested on data collected in an outdoor environment.

Paper Details

Date Published: 2 June 2011
PDF: 8 pages
Proc. SPIE 8019, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X, 80190N (2 June 2011); doi: 10.1117/12.883246
Show Author Affiliations
Thyagaraju Damarla, U.S. Army Research Lab. (United States)
James Sabatier, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 8019:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X
Edward M. Carapezza, Editor(s)

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