@inproceedings{a8606d15522746208af9a9718ac7188b,
title = "Demo: WIFIT-A bodyweight exercise monitoring system with commodity Wi-Fi",
abstract = "Bodyweight exercises, such as push-up, sit-up, and squat, are effective forms of strength training to maintain good health. In order to improve people's exercise experience and provide feedback, lots of work has been done to monitor the bodyweight exercise by requiring people to wear special sensors on body. Different from traditional ways, a non-intrusive system WiFit is shown in this demo which uses surrounding WiFi signals to monitor the bodyweight exercises without any attachment requirements. It not only could recognize the exercise type but also count the repetition number of exercise for diverse population even in different environments.",
keywords = "Bodyweight exercise, CSI, Ubiquitous, Wi-Fi",
author = "Shengjie Li and Xiang Li and Qin Lv and Daqing Zhang",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright is held by the owner/author(s).; 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 ; Conference date: 08-10-2018 Through 12-10-2018",
year = "2018",
month = oct,
day = "8",
doi = "10.1145/3267305.3267563",
language = "English",
series = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "396--399",
booktitle = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",
}