Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation

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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Bibliographic Details
Main Authors: Milad Shoryabi, Ahmad Hajipour, Afshin Shoeibi, Ali Foroutannia
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Anxiety detection
Depression recognition
Gait analysis
Kinect sensor
Machine learning and deep learning
Data augmentation
Online Access:https://doi.org/10.1038/s41598-025-06535-3
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https://doi.org/10.1038/s41598-025-06535-3

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