Abstract
Facial expression analysis for human-computer interaction, the driver’s state monitoring, or user emotion state monitoring has always been a very important issue in emotion recognition. People have a few emotions, and in different emotions, their facial expressions will have different characteristics. For example, if a person is happy, he/she may be with smiling face or smiling eyes, and if a person is angry or sad, he/she may frown. Once the system identified the user’s facial expression, there will be a corresponding action. This paper presents a framework for the use of raspberry functions to develop emotion recognition systems. We use Raspberry Pi’s camera module to detect the user’s facial expressions and use the Microsoft emotion recognition API to identify the user’s emotion. If the recognition result is angry or sad emotion, the system will broadcast gentle music and tune the light to be soft to smooth the person’s mood. Experiments results indicated the system can interact with users’ emotions.
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Acknowledgements
This paper is supported by Ministry of Science and Technology, Taiwan, (Grant Nos. MOST-104-2221-E-324-019-MY2 and MOST- 103-2632-E-324-001-MY3).
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Lee, HT., Chen, RC., Wei, D. (2018). Building Emotion Recognition Control System Using Raspberry Pi. In: Hung, J., Yen, N., Hui, L. (eds) Frontier Computing. FC 2017. Lecture Notes in Electrical Engineering, vol 464. Springer, Singapore. https://doi.org/10.1007/978-981-10-7398-4_4
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DOI: https://doi.org/10.1007/978-981-10-7398-4_4
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