Data Augmentation for Depression Detection Using Skeleton-Based Gait Information. (arXiv:2201.01115v1 [cs.CV])

In recent years, the incidence of depression is rising rapidly worldwide, but
large-scale depression screening is still challenging. Gait analysis provides a
non-contact, low-cost, and efficient early screening method for depression.
However, the early screening of depression based on gait analysis lacks
sufficient effective sample data. In this paper, we propose a skeleton data
augmentation method for assessing the risk of depression. First, we propose
five techniques to augment skeleton data and apply them to depression and
emotion datasets. Then, …

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