학술논문

Center Of Mass Trajectory: An Image Descriptor For Baseball Swing Analysis Based On Single Low-Cost Camera
Document Type
Conference
Source
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) Multimedia & Expo Workshops (ICMEW), 2021 IEEE International Conference on. :1-5 Jul, 2021
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Conferences
Pose estimation
Anthropometry
Detectors
Cameras
Skeleton
Data models
Anthropometry model
Baseball swing
CoM
Event detection
Language
Abstract
This paper examined the plausibility of using 2D images to estimate the center of mass of the human body (CoMb) and the performance using the trajectory of CoMb as an event detector for baseball swing movement. Movement data from three subjects are collected using both a motion capture system and a commercial camera, and the resultant 2D skeleton and CoMb position from the 2D images are obtained using two pose estimation algorithms and an anthropometry model. The errors of the 2D results are 42.67 mm for the skeleton and 50.69 mm for CoMb estimation. 88 baseball swing movement videos are used to illustrate the performance of CoMb trajectory as an event detector with a baseball expert. The agreement was 90.91% between the CoMb trajectory and the baseball expert.