FEMO: A Platform for Free-weight Exercise Monitoring with RFIDs

被引:117
|
作者
Ding, Han [1 ]
Shangguan, Longfei [2 ]
Yang, Zheng [3 ]
Han, Jinsong [1 ]
Zhou, Zimu [2 ]
Yang, Panlong [4 ]
Xi, Wei [1 ]
Zhao, Jizhong [1 ]
机构
[1] Xi An Jiao Tong Univ, Xian, Shaanxi, Peoples R China
[2] Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China
[3] Tsinghua Univ, Beijing, Peoples R China
[4] PLA Univ Sci & Technol, Nanjing, Jiangsu, Peoples R China
关键词
activity recognition and assessment; RFID; CLASSIFICATION;
D O I
10.1145/2809695.2809708
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Regular free-weight exercise helps to strengthen the body's natural movements and stabilize muscles that are important to strength, balance, and posture of human beings. Prior works have exploited wearable sensors or RF signal changes (e.g., WiFi and Blue-tooth) for activity sensing, recognition and counting etc.. However, none of them have incorporate three key factors necessary for a practical free-weight exercise monitoring system: recognizing free-weight activities on site, assessing their qualities, and providing useful feedbacks to the bodybuilder promptly. Our FEMO system responds to these demands, providing an integrated free-weight exercise monitoring service that incorporates all the essential functionalities mentioned above. FEMO achieves this by attaching passive RFID tags on the dumbbells and leveraging the Doppler shift profile of the reflected backscatter signals for on-site free-weight activity recognition and assessment. The rationale behind FEMO is 1): since each free-weight activity owns unique arm motions, the corresponding Doppler shift profile should be distinguishable to each other and serves as a reliable signature for each activity. 2): the Doppler profile of each activity has a strong spatial-temporal correlation that implicitly reflects the quality of each performed activity. We implement FEMO with COTS RFID devices and conduct a two-week experiment. The preliminary result from 15 volunteers demonstrates that FEMO can be applied to a variety of free-weight activities and users, and provide valuable feedbacks for activity alignment.
引用
收藏
页码:141 / 154
页数:14
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