HIGHLIGHTS
SUMMARY
Some real-world applications with FER models have been tested and were proven to be successful and well-received by their users. This makes camera-based emotion recognition an ideal solution. This system is expected to recognize and display both macro-and-micro-expressions expressed by patients. The patients` comfort levels are also assessed by letting them answer the general comfort questionnaire (GCQ). Emotion recognition systems are classified into two: unimodal and multimodal systems. [10-13] which feature FER systems, and in Refs. [14-16] which feature speech, EEG and behavior and posture emotion . . .
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