Smart and Context-Aware System employing Emotions Recognition

TL;DR

This paper presents a context-aware system that detects human emotions through facial expressions and speech to provide personalized, non-intrusive emotional support and services in health and daily activities.

Contribution

It introduces an unconventional, friendly approach to emotion detection in intelligent health environments using facial and speech recognition for personalized services.

Findings

System successfully detects emotions via facial expressions and speech

Provides personalized music and mood color recommendations

Creates emotionally-sensitive, non-intrusive user experiences

Abstract

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.