A motion robust remote-PPG approach to driver’s health state monitoring

Bing Fei Wu, Yun Wei Chu, Po Wei Huang, Meng Liang Chung, Tzu Min Lin

研究成果: 書貢獻/報告類型會議貢獻

9 引文 斯高帕斯(Scopus)


With the surging significance of personal health care, driver’s physiological state is no longer negligible nowadays. Among all the indicators of health state in human, heart rate (HR) is one of the most cardinal indicators. The commonly used HR measurement is contact-type, might result in driver’s distraction and discomfort in the vehicle applications. To cope with this problem, remote photoplethysmography (rPPG) is utilized to monitor HR at a distance via a web camera. Nevertheless, the rPPG is not without its flaw. The main concern of the rPPG technique is the potential not-robustness result from the arbitrary motion. Consequently, the contribution of this paper is to conquer the motion noise when the car is driving and the driver’s health state is well monitored to enhance the public safety. The proposed algorithm is investigated in not only the indoor environment but as well the outdoor driving, which contains much more unpredictable motion. With k-nearest neighbor (kNN) classifier on chrominance-based features, the mean square error can be reduced from 30.6 to 2.79 bpm, approaching the medical instrument level. The proposed method can be applied to human improving driving safety for Advanced Driver Assistance Systems.

主出版物標題Computer Vision - ACCV 2016 Workshops - ACCV 2016 International Workshops, Revised Selected Papers
編輯Jiwen Lu, Kai-Kuang Ma, Chu-Song Chen
發行者Springer Verlag
出版狀態已發佈 - 1月 1 2017
事件13th Asian Conference on Computer Vision, ACCV 2016 - Taipei, 臺灣
持續時間: 11月 20 201611月 24 2016


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10116 LNCS


會議13th Asian Conference on Computer Vision, ACCV 2016
城市 Taipei

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)


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