Human action categorization using ultrasound micro-doppler signatures
HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
Journal of Visual Communication and Image Representation
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A person’s gait is a characteristic that might be employed to identify him/her automatically. Conventionally, automatic techniques for gait-based identification of subjects employ video and image processing to characterize gait. In this paper we present an Acoustic Doppler Sensor(ADS) based technique for the characterization of gait. The ADS is very inexpensive sensor that can be built using off-the-shelf components, for under $20 USD at today’s prices. We show that remarkably good gait recognition is possible with the ADS sensor.