关键词: 儿童运动协调障碍, 人体姿态估计, 动作识别

Abstract:

Developmental Coordination Disorder（DCD） is a high-incidence problem in the growth of children, which seriously affects the physical and mental health of children and causes many adverse effects on the long-term health of adults. With the development of artificial intelligence, human pose estimation and action recognition technology in the field of computer vision can be used to assist in the diagnosis of such diseases, which is conducive to improving the degree of medical inclusiveness and medical efficiency, and is of great significance to alleviating the shortage of medical resources. The review reports the current research status of the AI diagnosis system for DCD, introducs the clinical diagnosis methods of DCD, and based on this, proposes the diagnosis technology route of computer-aided diagnosis of DCD, and summarizes the human pose estimation and action recognition deep learning method, analyzes the currently mainstream assessment methods and datasets of human pose estimation and action recognition, discusses the problems and challenges of its application in computer-aided diagnosis.

Key words: developmental coordination disorder, human pose estimation, action recognition