计算机科学 ›› 2015, Vol. 42 ›› Issue (10): 43-44.

• 第四届全国可穿戴计算学术会议 • 上一篇    下一篇

呼吸信号的非接触式测量

单禹皓,陈通,温万惠,刘光远   

  1. 西南大学电子信息工程学院 重庆400715,西南大学电子信息工程学院 重庆400715,西南大学电子信息工程学院 重庆400715,西南大学电子信息工程学院 重庆400715
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61301297),重庆市自然科学基金(cstc2012jjA40063),中央高校基本科研业务费(XDJK2013A006)资助

Remote Sensing Respiration Signals

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

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

摘要: 改进设计了一种基于Kinect体感相机的呼吸信号非接触式测量方法。该方法适用于坐立姿势下呼吸信号的遥测。在控制实验下,遥测得到的呼吸率接近于接触式测量得到的呼吸率(相对误差0.4%),且遥测的呼吸信号可以显示不同的呼吸模式。

关键词: 生理信号,呼吸信号,非接触式测量

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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