This study proposes a design of a "Microwave Heart Rate (456) and Respiratory Rate (57) Telemetry Monitor" using electromagnetic waves as the sensing medium. An experimental prototype using this scheme has been developed successfully. ; Using the characteristics of wavelet analysis self-adaptation and multi-resolution analysis, the extracted area signal is denoised to eliminate signal burrs (local extreme points). The system uses Kinect to obtain human color video and depth data, respectively. Motion data of users under two Kinects. Since the joint points of the human bones obtained under the two Kinects are relative to the current coordinate system, the least squares method is used for coordinate calibration, and then the Kalman filtering algorithm is used for data fusion.
@artical{x1272023ijsea12071017,
Title = "Research on Smart Sports Training Platform Based on Data Post-Processing Algorithm of Gasp Frequency Signal Acquisition Instrument",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="7",
Pages ="79 - 81",
Year = "2023",
Authors ="Xiaoniu Jiang"}