Poster: Enhanced Chatting Based on Multimodal Emotion Estimation.

Currently online chatting applications only allow users communicate with pure text messages. These pure text messages can hardly convey emotions and ambiguities of language and words may lead to unnecessary misunderstandings and troubles for users. We proposed a new online chatting application named ”EmotionChat”, which allowed users know about the pleasure degree of each other during chatting. We analyzed the pleasure degree of the user using both facial expressions and message contents, and executed all of the process on the mobile devices. We aimed to reduce the time delay and energy consumption of the algorithm, so that we could analyze the pleasure degree real-time on the mobile device.