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iMove: Exploring Bio-impedance Sensing for Fitness Activity Recognition
Feb. 16, 2024, 5:42 a.m. | Mengxi Liu, Vitor Fortes Rey, Yu Zhang, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz
cs.LG updates on arXiv.org arxiv.org
Abstract: Automatic and precise fitness activity recognition can be beneficial in aspects from promoting a healthy lifestyle to personalized preventative healthcare. While IMUs are currently the prominent fitness tracking modality, through iMove, we show bio-impedence can help improve IMU-based fitness tracking through sensor fusion and contrastive learning.To evaluate our methods, we conducted an experiment including six upper body fitness activities performed by ten subjects over five days to collect synchronized data from bio-impedance across two wrists …
abstract arxiv bio cs.ai cs.lg cs.ro eess.sp fitness fusion healthcare lifestyle personalized preventative healthcare recognition sensing sensor show through tracking type
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