ANN and Luminance Robust Image Based Photoplethysmography for Drivers’ Heart Rate Monitoring for All-weather Scenarios

• Main Authors: Chu, Yun-Wei, 朱允維
• Other Authors: Wu, Bing-Fei
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/2fygtn

碩士 === 國立交通大學 === 電控工程研究所 === 106 === Driver’s physiological status can be of enormous value to public traffic safety and cannot be ignorable nowadays. Additionally, heartbeat is one of the most important indicators of human’s health status. To detect driver’s heart rate, traditional contact-type devices might bring about driver’s distraction and discomfort. Remote PhotoPlethysmoGraphy (rPPG) technique is suitable for vehicle application to monitor driver s’ heartbeat by a web camera without interfering drivers. Most of the rPPG research intended to enhance the robustness of facial motion or luminance change in indoor or controllable scenario, but outdoor or realistic scenarios have generated relatively little discussion. Consequently, the purpose of this paper is to enhance rPPG technique that suitable for the outdoor driving vehicles scenario, for monitoring driver’s heart rate in different weather condition even in daytime or night. Collecting driver’s long-term continuous images and heartbeat information, we customize personal ANN multi-model for each driver. Through determining entropy of the spectrum and adaptively utilizing personal ANN model, proposed algorithm eliminates the effect of noise caused by the difference of facial luminance in outdoor vehicle scenarios. The proposed system also consider the full dark scenario, monitoring driver’s heart rate at different times. This study provides a promising solution for rPPG technique on driver’s heartbeat monitoring and expects to improve driving safety.