Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913453939097600 |
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| author | Beeri, Eran Bamani Nissinman, Eden Sintov, Avishai |
| author_facet | Beeri, Eran Bamani Nissinman, Eden Sintov, Avishai |
| contents | This paper presents a novel approach for ultra-range gesture recognition, addressing Human-Robot Interaction (HRI) challenges over extended distances. By leveraging human gestures in video data, we propose the Temporal-Spatiotemporal Fusion Network (TSFN) model that surpasses the limitations of current methods, enabling robots to understand gestures from long distances. With applications in service robots, search and rescue operations, and drone-based interactions, our approach enhances HRI in expansive environments. Experimental validation demonstrates significant advancements in gesture recognition accuracy, particularly in prolonged gesture sequences. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_21374 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction Beeri, Eran Bamani Nissinman, Eden Sintov, Avishai Robotics Computer Vision and Pattern Recognition Machine Learning This paper presents a novel approach for ultra-range gesture recognition, addressing Human-Robot Interaction (HRI) challenges over extended distances. By leveraging human gestures in video data, we propose the Temporal-Spatiotemporal Fusion Network (TSFN) model that surpasses the limitations of current methods, enabling robots to understand gestures from long distances. With applications in service robots, search and rescue operations, and drone-based interactions, our approach enhances HRI in expansive environments. Experimental validation demonstrates significant advancements in gesture recognition accuracy, particularly in prolonged gesture sequences. |
| title | Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction |
| topic | Robotics Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2407.21374 |