Paper
15 August 2023 YAMMER: a yoga movement exercise system with UHF RFID
Biaokai Zhu, Weijie Yuan, Xin-ge Liu, Zirong You, Wei Liu, Sixuan Du, Song Jie, Sanman Liu
Author Affiliations +
Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127190M (2023) https://doi.org/10.1117/12.2685764
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
Wireless sensor technology can effectively sense the impact of the human body on wireless links, which is conducive to promoting the evolution of wireless networks to intelligent sensor networks. It has good application prospects in bright space, security, rescue, human-computer interaction, etc. Motion recognition based on wireless sensing has recently been a research hotspot. Passive RFID tags are battery-free, portable, and have good privacy protection. They can be transmitted in a non-line-of-sight range. Because of these advantages, this paper uses a deep convolution neural network to classify activities based on RFID Doppler shift data. We designed a complete yoga movement recognition and evaluation system to evaluate the whole design, taking 12 everyday basic yoga movements as examples. We designed and implemented the prototype of our scheme using an Inpinj R420 reader and RFID tag. We invited 30 volunteers to collect data and conduct comprehensive experiments. The experimental results show that the average recognition accuracy of the essential yoga activity recognition we designed is 93.20%. It can also be applied to recognizing other activities and has broad application prospects.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Biaokai Zhu, Weijie Yuan, Xin-ge Liu, Zirong You, Wei Liu, Sixuan Du, Song Jie, and Sanman Liu "YAMMER: a yoga movement exercise system with UHF RFID", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127190M (15 August 2023); https://doi.org/10.1117/12.2685764
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