A human gait classification method based on radar Doppler spectrograms

Authors:
Fok Hing Chi Tivive;Abdesselam Bouzerdoum;Moeness G. Amin
Affiliations:
School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia;School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia;Center for Advanced Communications, Villanova University, Villanova, PA
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
Year:
2010

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Abstract

An image classification technique, which has recently been introduced for visual pattern recognition, is successfully applied for human gait classification based on radar Doppler signatures depicted in the time-frequency domain. The proposed method has three processing stages. The first two stages are designed to extract Doppler features that can effectively characterize humanmotion based on the nature of arm swings, and the third stage performs classification. Three types of arm motion are considered: free-arm swings, one-arm confined swings, and no-arm swings. The last two arm motions can be indicative of a human carrying objects or a person in stressed situations. The paper discusses the different steps of the proposed method for extracting distinctive Doppler features and demonstrates their contributions to the final and desirable classification rates.