Fast Real-Time Pipeline for Robust Arm Gesture Recognition
Fuente:
arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866908566262120448 |
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| author | Bagladi, Milán Zsolt Gulyás, László Szalay, Gergő |
| author_facet | Bagladi, Milán Zsolt Gulyás, László Szalay, Gergő |
| contents | This paper presents a real-time pipeline for dynamic arm gesture recognition based on OpenPose keypoint estimation, keypoint normalization, and a recurrent neural network classifier. The 1 x 1 normalization scheme and two feature representations (coordinate- and angle-based) are presented for the pipeline. In addition, an efficient method to improve robustness against camera angle variations is also introduced by using artificially rotated training data. Experiments on a custom traffic-control gesture dataset demonstrate high accuracy across varying viewing angles and speeds. Finally, an approach to calculate the speed of the arm signal (if necessary) is also presented. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_25042 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Fast Real-Time Pipeline for Robust Arm Gesture Recognition Bagladi, Milán Zsolt Gulyás, László Szalay, Gergő Computer Vision and Pattern Recognition Artificial Intelligence This paper presents a real-time pipeline for dynamic arm gesture recognition based on OpenPose keypoint estimation, keypoint normalization, and a recurrent neural network classifier. The 1 x 1 normalization scheme and two feature representations (coordinate- and angle-based) are presented for the pipeline. In addition, an efficient method to improve robustness against camera angle variations is also introduced by using artificially rotated training data. Experiments on a custom traffic-control gesture dataset demonstrate high accuracy across varying viewing angles and speeds. Finally, an approach to calculate the speed of the arm signal (if necessary) is also presented. |
| title | Fast Real-Time Pipeline for Robust Arm Gesture Recognition |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2509.25042 |