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.

中文翻译：

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采用情绪识别的智能和情境感知系统

人们有能力通过同情来对其他人的情绪状态做出合理的假设，并且由于我们的常识和视觉思考能力。多年来，在为机器提供检测人类情绪和开发自动化情商系统的能力方面进行了大量研究。计算机检测人类情绪的能力在创建敏感系统（例如学习环境、医疗保健系统和现实世界）中越来越受欢迎。改善人们的健康一直是许多研究的主题。本文将这种形成描述为智能健康环境中情绪获取和控制的概念证据。这篇论文的作者旨在以一种非常规的方式从系统中获取情感场景，以建立一个功能性、非侵入性和情感敏感的环境，让用户可以自然地进行日常活动，只有在心情愉快的时候才能看节目。接收激活服务。上下文敏感系统与用户交互，通过面部表情或语音识别来检测和区分情绪，并通过安装在其物联网设备上的服务进行音乐推荐和情绪色彩处理。