Shen, Dianhuai and Jiang, Xueying and Teng, Lin (2021) Residual network based on convolution attention model and feature fusion for dance motion recognition. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
Traditional posture recognition methods have the problems of low accuracy. Therefore, we propose a residual network based on convolution attention model and future fusion for dance motion recognition. Firstly, the fusion features of the relative position, angle and limb length ratio of human body ar
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 15:35 |
| Last Modified: | 11 Apr 2026 12:32 |
| URI: | http://eprints.eai.eu/id/eprint/39994 |
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