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People have the ability to make sensible assumptions about other people'semotional states by being sympathetic, and because of our common sense ofknowledge and the ability to think visually. Over the years, much research hasbeen done on providing machines with the ability to detect human emotions andto develop automated emotional intelligence systems. The computer's ability todetect human emotions is gaining popularity in creating sensitive systems suchas learning environments, health care systems and real-world. Improvingpeople's health has been the subject of much research. This paper describes theformation as conceptual evidence of emotional acquisition and control inintelligent health settings. The authors of this paper aim for anunconventional approach with a friendly look to get emotional scenarios fromthe system to establish a functional, non-intrusive and emotionally-sensitiveenvironment where users can do their normal activities naturally and see theprogram only when pleasant mood activating services are received. Thecontext-sensitive system interacts with users to detect and differentiateemotions through facial expressions or speech recognition, to make musicrecommendations and mood color treatments with the services installed on theirIoT devices.

Smart and Context-Aware System employing Emotions Recognition