Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation
Abstract Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to capture movement parameters. Fifty partici...
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| Main Authors: | Milad Shoryabi, Ahmad Hajipour, Afshin Shoeibi, Ali Foroutannia |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06535-3 |
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