Computer Science ›› 2015, Vol. 42 ›› Issue (10): 43-44, 75.

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Remote Sensing Respiration Signals

SHAN Yu-hao, CHEN Tong, WEN Wan-hui and LIU Guang-yuan   

  • Online:2018-11-14 Published:2018-11-14

Abstract: We presented a modified methodology for remote sensing human respiration signals using a Microsoft Kinect sensor.This method is suitable for obtaining the respiration signals when a object is sitting.According to the results of a controlled experiment,the error between breathing rate obtained from Kinect and the one obtained from contact measurement is 0.4%,and different breathing patterns can be detected through the respiration trace measured by Kinect.

Key words: Physiological signal,Respiration signal,Noncontact measurement

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