Recognition of human affection in Smartphone perspective based on accelerometer and user´s sitting position

Diverse applications are being developed for Smartphone considering several aspects of human computer interaction. The technology which is competent enough of understanding human affection or emotional state leads to future context aware systems and recommendation services. Emotion aware applications, intelligent user interfaces and personalized services will be generated based on precise human mood. There is an emerging market for the technology that can assist businesses exhibiting higher respect for customer feelings. The crucial first step is to identify whether the user is in a mental state of being bored, stressed, excited or neutral. In this paper we have discussed about state-of-the-art methodologies to detect human emotional states. We proposed a system by which three different emotional states (neutral, stressed and excited) will be distinguished using smartphone´s built-in accelerometer sensor based on the sitting position of the user. Interaction log of the user was in consideration as well in order to predict accurate result.