  People have the ability to make sensible assumptions about other people's
emotional states by being sympathetic, and because of our common sense of
knowledge and the ability to think visually. Over the years, much research has
been done on providing machines with the ability to detect human emotions and
to develop automated emotional intelligence systems. The computer's ability to
detect human emotions is gaining popularity in creating sensitive systems such
as learning environments, health care systems and real-world. Improving
people's health has been the subject of much research. This paper describes the
formation as conceptual evidence of emotional acquisition and control in
intelligent health settings. The authors of this paper aim for an
unconventional approach with a friendly look to get emotional scenarios from
the system to establish a functional, non-intrusive and emotionally-sensitive
environment where users can do their normal activities naturally and see the
program only when pleasant mood activating services are received. The
context-sensitive system interacts with users to detect and differentiate
emotions through facial expressions or speech recognition, to make music
recommendations and mood color treatments with the services installed on their
IoT devices.
