Detecting Human Movement during Vital Sign Measurement using Heterogeneous Sensors

摘要

Research on the detection of human movement by using accelerometers, gyroscopes, etc. is steadily progressing. These sensors function by setting a specific threshold value for a given movement. However, it is difficult to measure the distance travelled by humans or their position with the sensor alone. This paper explores a method of detecting human movement using machine learning on a UWB impulse radar and information from a AHRS sensor while measuring respiration, thereby offering a method that simultaneously uses data from two heterogeneous sensors during the measurement of respiration.