A contactless sport training monitor based on facial expression and remote-ppg

Bing Fei Wu, Chun Hsien Lin, Po Wei Huang, Tzu Min Lin, Meng Liang Chung

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

To successfully increase athletes' or exercisers' fitness and endurance, the factors of physiological signal, emotion, or the level of fatigue should be considered during the training program. Many clinical decision support systems can assist to monitor the exercisers by some wearable devices. And, the questionnaire should also be taken into account to produce a report. Such process is cumbersome, and the results are not objective. Furthermore, one may feel uncomfortable when wearing the devices during the training program. In this research, the Rating of Perceived Exertion (RPE) is expected to be estimated automatically without any wearable devices and questionnaires. A camera based heart rate detection algorithm nd a fatigue expression feature extractor are fused to estimate the RPE value. The results show that our heart rate detection algorithm can be competitive to the wearable devices, and the trend of the detected heart rate is correlated to RPE. Moreover, the fatigue feature can help reduce the error of the estimation.

原文英語
主出版物標題2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面846-851
頁數6
ISBN(電子)9781538616451
DOIs
出版狀態已發佈 - 十一月 27 2017
對外發佈
事件2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, 加拿大
持續時間: 十月 5 2017十月 8 2017

出版系列

名字2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
2017-January

會議

會議2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
國家/地區加拿大
城市Banff
期間10/5/1710/8/17

ASJC Scopus subject areas

  • 人工智慧
  • 電腦科學應用
  • 人機介面
  • 控制和優化

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