Mental care has become crucial with the rapid growth of economy and technology. However, recent movements, such as\r\ngreen technologies, place more emphasis on environmental issues than on mental care. Therefore, this study presents an\r\nemerging technology called orange computing for mental care applications. Orange computing refers to health, happiness, and\r\nphysiopsychological care computing, which focuses on designing algorithms and systems for enhancing body and mind balance.\r\nThe representative color of orange computing originates from a harmonic fusion of passion, love, happiness, and warmth. A case\r\nstudy on a human-machine interactive and assistive system for emotion care was conducted in this study to demonstrate the\r\nconcept of orange computing. The system can detect emotional states of users by analyzing their facial expressions, emotional\r\nspeech, and laughter in a ubiquitous environment. In addition, the system can provide corresponding feedback to users according\r\nto the results. Experimental results show that the system can achieve an accurate audiovisual recognition rate of 81.8% on average,\r\nthereby demonstrating the feasibility of the system. Compared with traditional questionnaire-based approaches, the proposed\r\nsystem can offer real-time analysis of emotional status more efficiently.
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