Emotion detection of elderly people in nursing homes based on AI robot vision

The aging of the population in today's society is one of the unavoidable practical problems, and the deepening of the aging degree in China also promotes varying degrees of mental health problems in the aging society especially in the nursing homes. This study mainly discusses the emotion detection of elderly people in nursing homes based on AI robot vision. This study adopts the emotional research method of measuring the physical and psychological indicators of the elderly in nursing homes, through comprehensive comparison and analysis of objective physiological indicators such as heart rate and blood pressure, as well as the final measured data of positive and negative emotion scales, elderly negative emotion scales in nursing homes, and score scales, to quantitatively evaluate and test the effectiveness of the selected optimization design method, and then to reveal the influence mechanism of the change of interior space selection design mode in nursing homes on the emotional health of the elderly in nursing homes. Combined with the information of the older adults in the personal files, daily activities and physiological indicators, this paper designs and implements a system that can monitor the negative emotions of the elderly, pay attention to the mental health of the elderly in the aging society and help the elderly in better serve the elderly. In this paper, OpenCV is used to realize the function of the video surveillance. The system consist of three parts: cloud server, elderly client and nurse client. The cloud sever is responsible for processing data and storing models. The client for the older adults provides mental health-related services for the elderly in nursing institutions, and the client for the nursing staff provides assistance for the nursing staff to carry out nursing work. The AI emotion detection scene designed in this study is better than manual intervention in triggering positive emotions and improving emotions in the elderly (p < 0.01). This research helps to promote the development of using AI technology in aging institutions widely and help aging populations get good emotional experiences especially who has mental problems.