TY - GEN
T1 - Automatic human fall detection in fractional fourier domain for assisted living
AU - Liu, Shengheng
AU - Zeng, Zhengxin
AU - Zhang, Yimin D.
AU - Fan, Tingting
AU - Shan, Tao
AU - Tao, Ran
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/18
Y1 - 2016/5/18
N2 - Fast and accurate detection of elderly falls can significantly reduce the rate of morbidity and mortality. In the past decade, extensive research has been performed to achieve real-time fall monitoring solutions. In this paper, we consider the radar-based modality and utilize the family of fractional Fourier transform to enhance the motion Doppler signature of falls. Compare with the conventional time-frequency analysis approaches, the proposed method achieves higher signal energy concentration and thus yields improved fall detection in low signal-to-noise ratio scenarios. Experimental results are used to validate the theoretical analysis and to demonstrate the feasibility of the proposed approach.
AB - Fast and accurate detection of elderly falls can significantly reduce the rate of morbidity and mortality. In the past decade, extensive research has been performed to achieve real-time fall monitoring solutions. In this paper, we consider the radar-based modality and utilize the family of fractional Fourier transform to enhance the motion Doppler signature of falls. Compare with the conventional time-frequency analysis approaches, the proposed method achieves higher signal energy concentration and thus yields improved fall detection in low signal-to-noise ratio scenarios. Experimental results are used to validate the theoretical analysis and to demonstrate the feasibility of the proposed approach.
KW - Radar Doppler spectrogram
KW - biomedical signal processing
KW - fall detection
KW - fractional Fourier transform
KW - short-time Fourier transform
UR - http://www.scopus.com/inward/record.url?scp=84973375177&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2016.7471785
DO - 10.1109/ICASSP.2016.7471785
M3 - Conference contribution
AN - SCOPUS:84973375177
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 799
EP - 803
BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Y2 - 20 March 2016 through 25 March 2016
ER -