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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.02274 |
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| _version_ | 1866914935149166592 |
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| author | Li, Yichun Naqvi, Syes Mohsen Nair, Rajesh |
| author_facet | Li, Yichun Naqvi, Syes Mohsen Nair, Rajesh |
| contents | Demand for ADHD diagnosis and treatment is increasing significantly and the existing services are unable to meet the demand in a timely manner. In this work, we introduce a novel action recognition method for ADHD diagnosis by identifying and analysing raw video recordings. Our main contributions include 1) designing and implementing a test focusing on the attention and hyperactivity/impulsivity of participants, recorded through three cameras; 2) implementing a novel machine learning ADHD diagnosis system based on action recognition neural networks for the first time; 3) proposing classification criteria to provide diagnosis results and analysis of ADHD action characteristics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_02274 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ADHD diagnosis based on action characteristics recorded in videos using machine learning Li, Yichun Naqvi, Syes Mohsen Nair, Rajesh Computer Vision and Pattern Recognition Demand for ADHD diagnosis and treatment is increasing significantly and the existing services are unable to meet the demand in a timely manner. In this work, we introduce a novel action recognition method for ADHD diagnosis by identifying and analysing raw video recordings. Our main contributions include 1) designing and implementing a test focusing on the attention and hyperactivity/impulsivity of participants, recorded through three cameras; 2) implementing a novel machine learning ADHD diagnosis system based on action recognition neural networks for the first time; 3) proposing classification criteria to provide diagnosis results and analysis of ADHD action characteristics. |
| title | ADHD diagnosis based on action characteristics recorded in videos using machine learning |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2409.02274 |