Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917841112924160 |
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| author | Elansary, Leina Taha, Zaki Gad, Walaa |
| author_facet | Elansary, Leina Taha, Zaki Gad, Walaa |
| contents | A survey is presented focused on using pose estimation techniques in Emotional recognition using various technologies normal cameras, and depth cameras for real-time, and the potential use of VR and inputs including images, videos, and 3-dimensional poses described in vector space. We discussed 19 research papers collected from selected journals and databases highlighting their methodology, classification algorithm, and the used datasets that relate to emotion recognition and pose estimation. A benchmark has been made according to their accuracy as it was the most common performance measurement metric used. We concluded that the multimodal Approaches overall made the best accuracy and then we mentioned futuristic concerns that can improve the development of this research topic. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_01728 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality Elansary, Leina Taha, Zaki Gad, Walaa Computer Vision and Pattern Recognition Artificial Intelligence A survey is presented focused on using pose estimation techniques in Emotional recognition using various technologies normal cameras, and depth cameras for real-time, and the potential use of VR and inputs including images, videos, and 3-dimensional poses described in vector space. We discussed 19 research papers collected from selected journals and databases highlighting their methodology, classification algorithm, and the used datasets that relate to emotion recognition and pose estimation. A benchmark has been made according to their accuracy as it was the most common performance measurement metric used. We concluded that the multimodal Approaches overall made the best accuracy and then we mentioned futuristic concerns that can improve the development of this research topic. |
| title | Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2408.01728 |