Detection of changes in human affect dimensions using an Adaptive Temporal Topic model

Prasanth Lade Vineeth N Balasubramanian Hemanth Venkateswara Sethuraman Panchanathan
Abstract: There is an increasing demand for applications that can detect changes in human affect or behavior especially in the fields of health care and crime detection. Detection of changes in continuous human affect dimensions from multimedia data precedes the exact prediction of an emotion as a continuum. With the growth in the dimensions of emotion space there is a need to discover latent descriptors (topics) that can explain these complex states. Considering that at every time step the audio/video frames constitute a set of such ...