Pham, Quoc Thang and Nguyen, Duc Dung and Nguyen, Thanh Thuy (2016) The vector machine learning methods on sign language recognition problem. In: SW4PHD: the 2016 Scientific Workshop for PhD Students, 26 March 2016, Hanoi.
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Abstract
Human gesture recognition is a rather new field and many challenges, especial when motion capture devices become more popular. Sign language recognition is a concrete example of gesture recognition. Various studies have shown that the vector machine methods with Gaussian kernels are among the most prominent models for an accurate gesture classification. In this study, we present the application of vector machine learning methods to sign language recognition problem. We demonstrate that the vector machines (VMs) could also achieve the state-of-the-art predictive performance. The experimental results on the Auslan data set show the feasibility and effectiveness of these methods.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Subjects: | Information Technology (IT) |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Dr Ngoc Thang Bui |
| Date Deposited: | 23 May 2016 03:12 |
| Last Modified: | 23 May 2016 03:12 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/1544 |
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