HMM Based Emotion Detection in Games

There has been always this question asked, do games really need emotion intelligence? With the advances in artificial intelligence and great researches in computer internal structure, gaming design has been evolved to emotional detections and feedback. Again a question comes here, what if gaming characters recognize and feel your emotions and change the gameplay as per your mood? In this paper we have presented the Hidden Markov Model (HMM) based real time player's emotion recognition system. The input of the model is video of six emotions as joyful, rage, astonish, antipathy, scared and sorrow. The work employs existing methods and proposes a system model of HMMs for automatically splitting and identifying facial expression(emotions) from video sequences.