Design on Modeling of Multimodal Depression Aided Diagnosis from Psychological Perspective

Taking All the Factors We Need: A Multimodal Depression Classification With Uncertainty Approximation

“…Arroz et al [35] compared algorithms for unimodal, automatic, and multimodal classification conversations, with LSTM and gated recurrent units (GRU). Alternative approaches to multimodal depression detection encompass the examination of various indicators such as the dynamics of acoustic, facial, head movement [27], [39], behavioural and physiological signals [40], brain functional abnormalities, heart rate variability, hemodynamic parameters [41], and partially convergent structural features [23].…”