Host: The Japanese Society for Artificial Intelligence
Name : The 37th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 37
Location : [in Japanese]
Date : June 06, 2023 - June 09, 2023
In recent years, the demand for telemedicine has led to the development of contact-less sensing technology using cameras and sensors. Remote photo plethysmography (rPPG) has been reported to be highly accurate. The purpose of this study is to realize highly accurate rPPG in a real environment by preventing errors of rPPG. Specifically, the reliability of rPPG is judged based on images. In this study, we collected face images in which rPPG was performed accurately and inaccurately. We built a model to judge the reliability of estimates using machine learning. RGB pixel values in the face region and the results of frequency analysis were used as features. Experimental results showed that the constructed model can judge the reliability of estimates and prevent errors. In the future, the effectiveness of this technology will be verified in a real environment.
