Title :
Rider posture analysis for postural correction on a sports simulator
Author :
Sangseung Kang ; Kyekyung Kim ; Suyoung Chi
Author_Institution :
Intell. Cognitive Technol. Res. Dept., ETRI, Daejeon, South Korea
Abstract :
For the use of sports simulators, there is a need for the implementation of proper functions for the realistic movement mechanism, the relative riding content, and the effective personalized training. In this paper, we present a posture analysis system for a rider on a sports simulator. The proposed system provides a personalized postural training function suited to the user based on their logging information and postural correction data. The system has an analysis function for the riding postures of the user based on the detected posture information. The user can see the error position with the riding contents and be corrected their posture in real time. We also set up a simulator test environment and performed experiments on the proposed system.
Keywords :
digital simulation; feature extraction; sport; effective personalized training; error position; personalized postural training function; postural correction; posture information detection; realistic movement mechanism; relative riding content; rider posture analysis; riding contents; simulator test environment; sport simulator; user logging information; user postural correction data; user riding posture analysis function; Robots; Tracking; Sports simulator; horseback riding; postural correction; rider posture;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9932-1506-9
DOI :
10.1109/ICCAS.2014.6988050