The present application relates to the technical field of intelligent health monitoring, and discloses a
defecation difficulty detection method, device, equipment and storage medium, the method comprises: obtaining
defecation point cloud data in a washroom scene, extracting micro-motion features,
time sequence dynamic features and behavior features of a target user from the
defecation point cloud data; calculating the defecation frequency, defecation duration and defecation force index of the target user according to the micro-motion features,
time sequence dynamic features and behavior features; constructing a defecation behavior sequence according to the defecation frequency, defecation duration and defecation force index, and analyzing the defecation
habit interval in the defecation behavior sequence; calculating the defecation
abnormality proportion of the target user according to the defecation
habit interval and the defecation behavior sequence; and determining the defecation difficulty level of the target user according to the defecation
abnormality proportion. Through the
feature extraction, defecation-related index calculation, defecation
abnormality proportion analysis and determination of the defecation difficulty level, the accuracy of defecation difficulty detection can be improved.