Neural-Net Classification For Spatio-Temporal Descriptor Based Depression Analysis
Depression is a severe psychiatric disorder. Despite the high prevalence, current clinical practice depends almost exclusively on self-report and clinical opinion, risking a range of subjective biases. This paper focuses on depression analysis based on visual cues from facial expressions and upper body movements. The proposed diagnostic support system is based on computing spatio-temporal features from video sequences. Space Time Interest Points are computed for the videos for analysing the...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings - International Conference on Pattern Recognition|
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