Abstract
To enable automatic analysis of athletic movement, the first task is to recognize the athletic movements to be analyzed from a continuous motion data stream. Automated detection of athletic movement and the isolation of the recruited body parts would enable the analysis of sporting movements for improving sports performance and preventing possible injuries. In this paper, an unsupervised method for detecting and isolating athletic movements is proposed. Given motion capture data, the method automatically identifies when athletic movements are being performed and the body parts involved using the concepts of the manipulability and kinematic dimensionality reduction. Experiments demonstrate the ability of the proposed approach to detect and isolate athletic movements from a variety of motion data.
| Original language | English |
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| Title of host publication | 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016) |
| Editors | Jose Principe, Jose Carmena, Justin Sanchez |
| Place of Publication | Piscataway NJ USA |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 6268-6272 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781457702204 |
| ISBN (Print) | 9781457702198 |
| DOIs | |
| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | International Conference of the IEEE Engineering in Medicine and Biology Society 2016 - Walt Disney World Resort, Orlando, United States of America Duration: 16 Aug 2016 → 20 Aug 2016 Conference number: 38th https://embc.embs.org/2016/ https://ieeexplore.ieee.org/xpl/conhome/7580725/proceeding (Proceedings) |
Conference
| Conference | International Conference of the IEEE Engineering in Medicine and Biology Society 2016 |
|---|---|
| Abbreviated title | EMBC 2016 |
| Country/Territory | United States of America |
| City | Orlando |
| Period | 16/08/16 → 20/08/16 |
| Internet address |