Shengjie Li
Xiang Li
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 Wi-Fi 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.
- Han Ding, Jinsong Han, Longfei Shangguan, Wei Xi, Zhiping Jiang, Zheng Yang, Zimu Zhou, Panlong Yang, and Jizhong Zhao. A platform for free-weight exercise monitoring with passive tags. IEEE Transactions on Mobile Computing, 16, 12: 3279--3293.Google Scholar
- Xiaonan Guo, Jian Liu, and Yingying Chen. Fitcoach: Virtual fitness coach empowered by wearable mobile devices. In proceedings of the 2017 IEEE International Conference on Computer Communications (INFOCOM'17), 2017, 1--9.Google ScholarCross Ref
- Daniel Halperin, Wenjun Hu, Anmol Sheth, and David Wetherall. 2011. Tool Release: Gathering 802.11N Traces with Channel State Information. SIGCOMM Comput. Commun. 53--53. Google ScholarDigital Library
- Tian Hao, Guoliang Xing, and Gang Zhou. Runbuddy: A smartphone system for running rhythm monitoring. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing(Ubicomp'15), 2015. 133--144. Google ScholarDigital Library
- Shengjie Li, Xiang Li, Kai Niu, Hao Wang, Yue Zhang, and Daqing Zhang. 2017. AR-Alarm: An Adaptive and Robust Intrusion Detection System Leveraging CSI from Commodity Wi-Fi. In International Conference on Smart Homes and Health Telematics (ICOST 17). Springer International Publishing, 211--223.Google ScholarCross Ref
- Xiang Li, Shengjie Li, Daqing Zhang, Jie Xiong, Yasha Wang, and Hong Mei. 2016. Dynamic-MUSIC: Accurate Device-free Indoor Localization. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '16). ACM. 196--207. Google ScholarDigital Library
- Xiang Li, Daqing Zhang, Qin Lv, Jie Xiong, Shengjie Li, Yue Zhang, and Hong Mei. 2017. IndoTrack: Device-Free Indoor Human Tracking with Commodity Wi-Fi. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 72 (Sept. 2017), 22 pages. Google ScholarDigital Library
- Kun Qian, C Wu, Z. Zhou, Y. Zheng, Z. Yang, and Y. Liu, Inferring motion direction using commodity wi-fi for interactive exergames, In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI'17). 2017. ACM. 1961--1972. Google ScholarDigital Library
- Dan Wu, Daqing Zhang, Chenren Xu, Yasha Wang, and Hao Wang. 2016. WiDir: walking direction estimation using wireless signals. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 351--362. Google ScholarDigital Library
- Dan Wu, Daqing Zhang, Chenren Xu, Hao Wang, and Xiang Li. 2017. Device-Free WiFi Human Sensing: From Pattern-Based to Model-Based Approaches. IEEE Communications Magazine 55, 10 (2017), 91--97.Google ScholarCross Ref
- Hao Wang, Daqing Zhang, Yasha Wang, Junyi Ma, Yuxiang Wang, and Shengjie Li. 2017. RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices. IEEE Transactions on Mobile Computing 16, 2 (Feb 2017), 511--526. Google ScholarDigital Library
- Hao Wang, Daqing Zhang, Junyi Ma, Yasha Wang, Yuxiang Wang, Dan Wu, Tao Gu, and Bing Xie. 2016. Human Respiration Detection with Commodity Wifi Devices: Do User Location and Body Orientation Matter?. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16). ACM. 25--36. Google ScholarDigital Library
- Yan Wang, Jian Liu, Yingying Chen, Marco Gruteser, Jie Yang, and Hongbo Liu. 2016. E-eyes: Device-free location-oriented activity identification using fine-grained wifi signatures. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (MobiCom'14). ACM. 617--628. Google ScholarDigital Library
- Wei Wang, Alex X. Liu, Muhammad Shahzad, Kang Ling, and Sanglu Lu. 2015. Understanding and Modeling of Wi-Fi Signal Based Human Activity Recognition. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (MobiCom'15). ACM. 65--76. Google ScholarDigital Library
- Daqing Zhang, Hao Wang, and Dan Wu. 2017. Toward centimeter-scale human activity sensing with Wi-Fi signals. Computer 50, 1 (2017), 48--57. Google ScholarDigital Library
- Fusang Zhang, Daqing Zhang, Jie Xiong, Hao Wang, Kai Niu, Beihong Jin, Yuxiang Wang.2018. From Fresnel Diffraction Model to Fine-grained Human Respiration Sensing with Commodity Wi-Fi Devices. In Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM. 1--23 Google ScholarDigital Library
- Wenbing Zhao, Hai Feng, and Roanna Lun. A Kinect-Based Rehabilitation Exercise Monitoring and Guidance System. In Proceedings of 2014 International Conference on Software Engineering and Service Science (ICSESS'14), 2014. IEEE. 762--765.Google Scholar
Index Terms
- WiFit: A Bodyweight Exercise Monitoring System with Commodity Wi-Fi
Recommendations
Key Planning Factors for Deploying Ubiquitous Wi-Fi Networks in Hotels
The Internet has changed the way in which people work and live. Many when traveling expect to be Internet-connected at all times without being tied down to physical wires, just as in their offices and homes. Wireless Fidelity Wi-Fi enables hotel guests ...
A ubiquitous smart home for elderly
One major challenge to successful aging is the capability to preserve health, or from another perspective to avoid disease. Unfortunately, a large percentage of the elderly people are living with chronic diseases or disabilities. Home care technologies ...
NGN/IMS-based ubiquitous health monitoring system: data format design
INSS'09: Proceedings of the 6th international conference on Networked sensing systemsDue to people's concern for a healthy life, there is a rising need for a health monitoring available anytime and anywhere. We present an ubiquitous health monitoring system based on the NGN/IMS(Next Generation Network/IP Multimedia Subsystem) and proper ...
Comments