Crawling is a significant sign of gross motor development in infants,and also an important means of rehabilitation training for patients with motor disorders.The accurate measurement of the motion state during human crawling is essential for evaluating the gross motor developmental process in infants and the rehabilitation outcome of patients with motor disorders.In recent years,many studies have attempted to quantitatively evaluate the motion state by detecting physiological signals during human crawling,but there is a lack of overview on human crawling motion signal acquisition and processing.Herein the detection and processing methods for motion signals during human crawling and relevant researches are reviewed.The mainstream methods for detecting motion signals during human crawling are introduced from the perspectives of inertial sensors,pressure sensors,and surface electromyography.Then,the signal processing and analysis such as periodic segmentation,kinematic analysis,and dynamic analysis in human crawling are summarized.Based on the theory of motion coordination,the research advances in joint synergy and muscle synergy during human crawling are elaborated.Finally,the current problems and future development directions of motion analysis for human crawling are discussed.