The invention relates to a motion function
data acquisition method and
system based on human-computer interaction. The motion
function analysis method is applied to a motion
function analysis device and comprises the steps that in response to an initial position instruction of an abnormal object, initial
motion analysis is conducted based on historical treatment data of the abnormal object, and initial motion data is presented; when the corresponding initial body image is detected,
pose analysis is executed, and a
body condition labeling box is displayed to a labeling person. After
annotation confirmation is received, carrying out
movement analysis in combination with
annotation data and historical treatment data, and outputting action change data; and if the current body image corresponding to the current body image is detected, taking the current body image as a new initial image, and repeating the
pose analysis and labeling process. And until an
annotation stop instruction is received, the
system summarizes each annotation and historical treatment data to carry out
object function analysis, and motion function data of the abnormal object is generated. By adopting the method, the accuracy of understanding the current abnormal information of the abnormal personnel can be effectively improved.