Depression and Severity Detection Based on Body Kinematic Features: Using Kinect Recorded Skeleton Data of Simple Action

• Published in: Frontiers in neurology Vol. 13; p. 905917
• Main Authors: Yu, Yanhong, Li, Wentao, Zhao, Yue, Ye, Jiayu, Zheng, Yunshao, Liu, Xinxin, Wang, Qingxiang
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 30.06.2022
• Subjects: deep learning; depression recognition; human skeleton; kinect sensor; Neurology; temporal convolution network

Relative limb movement is an important feature in assessing depression. In this study, we looked into whether a skeleton-mimetic task using natural stimuli may help people recognize depression. We innovatively used Kinect V2 to collect participant data. Sequential skeletal data was directly extracte...