Facial Expressions Based Emotion Recognition System with Outcome Usability in Healthcare

Facial expressions are form of non verbal communication which conveys the emotional state/ mood of a person. Emotions are integral part of human personality. Scientists have established that emotions can play pivotal role in rational intelligence (memory, decision making etc) and social intelligence (Communication, adaption etc). Study of emotions of any person can be interlinked with learning capabilities, behavioral aspect of that person. Efficient monitoring of human emotional states may provide important and useful medical information with diagnostic value which can be very useful for clinical practices.

Existing health care systems do not take in to account the emotional state of the patients while treating them but potential of emotional aspects of health can be incorporated in disease prevention, therapy and rehabilitation.

Useful outcomes of the proposed system add value to clinical practices, health care systems and services.

This paper is basically literature survey paper revealing the work done so far in the area of emotion recognition through facial expression recognition with applicability in healthcare domain.