Real-time method for human presence detection by using micro-Doppler signatures information at 24GHz

A simple real-time method is presented in order to detect human presence in a changing environment extracting useful information from micro-Doppler signatures. A measurement campaign was performed in order to measure influence of speed, torso and direction of movement. This research line continues open and new approaches are under development at present.

[1]  Ching-Yao Chan,et al.  Experimental Vehicle Platform for Pedestrian Detection , 2006 .

[2]  Michael F. Otero,et al.  Application of a continuous wave radar for human gait recognition , 2005, SPIE Defense + Commercial Sensing.

[3]  Ljubisa Stankovic,et al.  Analysis of radar micro-Doppler signatures from experimental helicopter and human data , 2007 .

[4]  Hao Ling,et al.  Human activity classification based on micro-Doppler signatures using an artificial neural network , 2008, 2008 IEEE Antennas and Propagation Society International Symposium.

[5]  J.L. Geisheimer,et al.  A continuous-wave (CW) radar for gait analysis , 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).

[6]  Simon Haykin,et al.  The chirplet transform: physical considerations , 1995, IEEE Trans. Signal Process..