US 12,216,834 B2
Human-computer interaction movement track detection method, apparatus, device, and readable storage medium
Qichao Zhao, Beijing (CN); and Ran Yang, Beijing (CN)
Assigned to KINGFAR INTERNATIONAL INC., Beijing (CN); and NANJING KINGFAR HEALTH TECHNOLOGY INC., Jiangsu (CN)
Filed by KINGFAR INTERNATIONAL INC., Beijing (CN); and NANJING KINGFAR HEALTH TECHNOLOGY INC., Jiangsu (CN)
Filed on Dec. 27, 2022, as Appl. No. 18/088,894.
Claims priority of application No. 202211074471.8 (CN), filed on Sep. 3, 2022.
Prior Publication US 2024/0077954 A1, Mar. 7, 2024
Int. Cl. G06F 3/03 (2006.01)
CPC G06F 3/0304 (2013.01) 7 Claims
OG exemplary drawing
 
1. A human-computer interaction movement track detection method, comprising:
segmenting a movement path of a movement target to obtain one or more sub paths;
monitoring and recording movement of the movement target in each of the one or more sub paths to obtain a human-computer interaction movement track of the movement target in each of the one or more sub paths;
identifying the human-computer interaction movement track of the movement target in each of the one or more sub paths with a determination model corresponding to each of the one or more sub paths; and
detecting a human-computer interaction movement track of the movement target based on identification of the human-computer interaction movement track in each of the one or more sub paths,
wherein, the segmenting a movement path of a movement target to obtain one or more sub paths comprises:
segmenting the movement path with a pre-created json file to obtain the one or more sub paths, wherein the pre-created json file contains definitions of various types of sub paths, and
wherein, each of the one or more sub paths comprises a regular sub path and a special figure sub path formed by combining various figures, and the regular sub path comprises at least one of a circle, a triangle, a square, a trapezoid or a hexagon.