SmartSwim: An infrastructure-free swimmer localization system based on smartphone sensors

Dong Xiao, Zhiwen Yu, Fei Yi, Liang Wang, Chiu C. Tan, Bin Guo

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

Many works have focused their attention on the sports activity monitoring and recognition using inherit sensors on the smartphone. However, distinct from many on-the-ground activities, swimming is not only hard to monitor but also dangerous in the water. Knowing the position of a swimmer is crucial which can help a lot in rescuing people. In this paper, we propose a system called SmartSwim employing smartphone as a sensor for swimming tracking and localization. In detail, we first present a sensor based swimming status classification and moving length estimation. A swimmer locating algorithm is then proposed drawing on the experience of pedestrian dead reckoning (PDR) concept. We implemented the system on commercial smartphones and designed two prototype applications named WeSwim and SafeSwim. Experimental results showed the accuracy of swimming status classification reaches more than 99% and the Error Rate value for length estimation is lower than 7% overall.

源语言英语
主期刊名Inclusive Smart Cities and Digital Health - 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Proceedings
编辑Carl K. Chang, Hamdi Aloulou, Hai Jin, Yu Cao, Mounir Mokhtari, Lorenzo Chiari
出版商Springer Verlag
222-234
页数13
ISBN(印刷版)9783319396002
DOI
出版状态已出版 - 2016
活动14th International Conference on Smart Homes and Health Telematics, ICOST 2016 - Wuhan, 中国
期限: 25 5月 201627 5月 2016

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9677
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议14th International Conference on Smart Homes and Health Telematics, ICOST 2016
国家/地区中国
Wuhan
时期25/05/1627/05/16

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