Survey on Human Behavior Recognition Using Affective Computing

With recent advancement in the field of artificial intelligence and machine learning, the human behaviour recognition and analysis is attracting the attention of the researchers around the globe. Affective computing is one of the latest trends in the field of emotion/sentiment recognition. Affective computing is the collection of the methods used for affect recognition. In this paper, we have provided a broad survey of the approaches used for human behaviour detection considering different behavioural cues. We have considered physiological signal, speech and gestures, text data and facial expression cues for behaviour detection. We also have discussed about the latest approaches like deep neural network and their use in the area of behaviour recognition.