Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings

Research Article

Emotional Feedback Lighting Control System Based on Face Recognition

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  • @INPROCEEDINGS{10.1007/978-3-030-21730-3_26,
        author={Xiangfeng Li and Ling Yu and Yini Zhang and Zeyuan Shao and Linyu Huang and Chaoyang Zhang and Xiaoyang He},
        title={Emotional Feedback Lighting Control System Based on Face Recognition},
        proceedings={Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings},
        proceedings_a={GREENETS},
        year={2019},
        month={6},
        keywords={Face recognition Emotions Lighting system},
        doi={10.1007/978-3-030-21730-3_26}
    }
    
  • Xiangfeng Li
    Ling Yu
    Yini Zhang
    Zeyuan Shao
    Linyu Huang
    Chaoyang Zhang
    Xiaoyang He
    Year: 2019
    Emotional Feedback Lighting Control System Based on Face Recognition
    GREENETS
    Springer
    DOI: 10.1007/978-3-030-21730-3_26
Xiangfeng Li1, Ling Yu1, Yini Zhang1, Zeyuan Shao1, Linyu Huang1, Chaoyang Zhang1, Xiaoyang He1,*
  • 1: Dalian Polytechnic University
*Contact email: hexy@dlpu.edu.cn

Abstract

In order to solve the vicious circle of negative emotions caused by stress spreading in the family. This paper designs a lighting control system that reflects the user’s emotions in real time to assist users in managing emotions. The system establishes an emotion-color conversion model based on color psychology. Based on the Face++ face recognition cloud platform, the Raspberry Pi and Arduino form the hardware core for the overall design, hardware selection and software programming of the lighting control system. The system collects the user’s facial image and uploads the image to the cloud platform, and then the cloud platform performs face recognition on the image. The recognized face parameters are returned to the system. Then according to the emotion-color conversion model, the face parameters are converted into light parameters. Finally, the system transforms the light according to the light parameters, so that it realizes the effect of transforming the light color according to the facial expression of the user, and plays a role in supporting the management of emotions.