Smart and Context-Aware System employing Emotions Recognition
This work addresses improving health and user experience in sensitive systems like healthcare, but it appears incremental as it builds on existing emotion recognition research without specifying major breakthroughs.
The paper tackles the problem of detecting human emotions in intelligent health settings to create a non-intrusive, emotionally-sensitive environment, resulting in a system that uses facial expressions or speech recognition to provide services like music recommendations and mood color treatments via IoT devices.
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.