Happy Index

Emotion has a crucial impact on human behavior. There are abundant previous researches on automatic facial expression recognition and posture and action expression recognition. This paper considers to utilize the big data theory to link the two methodologies and proposes a novel approach to recognize and analysis the continuous emotion flow, which are seldom drawn attention before. With the development of Kinect2.0 and SDK, this paper completes the real-time emotion flow collection and the automatic analysis of the samples under the daily school context. Eventually, potential expansion and outlook in the application field are proposed.