Research on the Application of Fall Detection Technology Based on the Security Field of the Smart Care for the Elderly

Abstract. The security of the elderly in an aging society has become a social problem attracting much attention, among which the problem of secondary injury caused by the fall has attracted wide concern of researchers. The application of fall detection combined with artificial intelligence technology has become an important application in the security field of smart care for the elderly. After analyzing and judging the human body features, this paper found out that the combination of human skeleton and fall detection technology could be used to identify the fall behavior and link it with the alarm system to solve the security problem of smart care for the elderly. The experimental results showed that the recognition rate of fall detection was increased by 2% after adding optimization of genetic algorithm factors and contrast calculation of prediction frame length in the process of human feature target detection.