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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Online-Zugang: | https://arxiv.org/abs/2408.05516 |
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| _version_ | 1866909284385685504 |
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| author | Tomenotti, Federico Figari Noceti, Nicoletta |
| author_facet | Tomenotti, Federico Figari Noceti, Nicoletta |
| contents | The ability to anticipate others' goals and intentions is at the basis of human-human social interaction. Such ability, largely based on non-verbal communication, is also a key to having natural and pleasant interactions with artificial agents, like robots. In this work, we discuss a preliminary experiment on the use of head pose as a visual cue to understand and anticipate action goals, particularly reaching and transporting movements. By reasoning on the spatio-temporal connections between the head, hands and objects in the scene, we will show that short-range anticipation is possible, laying the foundations for future applications to human-robot interaction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_05516 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Anticipation through Head Pose Estimation: a preliminary study Tomenotti, Federico Figari Noceti, Nicoletta Robotics Computer Vision and Pattern Recognition The ability to anticipate others' goals and intentions is at the basis of human-human social interaction. Such ability, largely based on non-verbal communication, is also a key to having natural and pleasant interactions with artificial agents, like robots. In this work, we discuss a preliminary experiment on the use of head pose as a visual cue to understand and anticipate action goals, particularly reaching and transporting movements. By reasoning on the spatio-temporal connections between the head, hands and objects in the scene, we will show that short-range anticipation is possible, laying the foundations for future applications to human-robot interaction. |
| title | Anticipation through Head Pose Estimation: a preliminary study |
| topic | Robotics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2408.05516 |