Gesture recognition based on multi-modal feature weight
Research output: Contribution to journal › Article
higher. Comparing the current more advanced gesture recognition methods, the method proposed in this paper also achieves higher recognition accuracy, which verifies the feasibility and robustness of this method.
|Journal||Concurrency and Computation: Practice and Experience|
|Early online date||10 Sep 2020|
|Publication status||Early online - 10 Sep 2020|
- Gesture recognition based on multi-modal feature weight
Rights statement: This is the peer reviewed version of the following article: Haojie Duan, Ying Sun, Wentao Cheng, Du Jiang, Juntong Yun, Ying Liu, Yibo Liu & Dalin Zhou. 'Gesture recognition based on multi‐modal feature weight'. Concurrency and Computation: Practice and Experience., which has been published in final form at https://doi.org/10.1002/cpe.5991. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Accepted author manuscript (Post-print), 955 KB, PDF document
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