Sleep Quality Evaluation System Based On Video Surveillance
Yu Zhang, Yang Yang, Qiyue Sun, Dong Huang · 2021
Sleep quality evaluation without interference is of great importance for improving human health and reducing the occurrence of various risks. This paper simulates the 100-day sleep video data set of the observed object. Digital image processing method is used to realize the detection function of going to bed, getting up, turning over and other activities By drawing a sleep curve for one day, and then calculating the number of turns over a day, the duration of sleep, and judging the quality of sleep according to parameters such as the number of waking up, the number of turns over, the duration of sleep, and finally the abnormality detection by comparing the similarity of the curves over multiple days. This paper aims to make use of automatic detection of sleep conditions to make intelligent video surveillance play a greater role in human sleep quality.