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.
Supported by Science Foundation for Goldlamp Co., Ltd (2017-228195).
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References
Goldin, P.R., Mcrae, K., Ramel, W., et al.: The neural bases of emotion regulation: reappraisal and suppression of negative emotion. Biol. Psychiat. 63(6), 577–586 (2008)
Nicolaou: Electronic performance monitoring: the crossover between self-discipline and emotion management (2015)
Sheth, S., Ajmera, A., Sharma, A., et al.: Design and development of intelligent AGV using computer vision and artificial intelligence (2018)
Ahonen, T., Hadid, A., Pietikinen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037–2041 (2006)
Georghiades, A.S., Belhumeur, P.N., Kriegman, D.J.: From few to many: illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 643–660 (2001)
Belhumeur, P.N., Kriegman, D.J.: What is the set of images of an object under all possible illumination conditions?. Kluwer Academic Publishers, Hingham (1998)
Brunelli, R., Poggio, T.: Face recognition: features versus templates. IEEE Trans. Pattern Anal. Mach. Intell. 15(10), 1042–1052 (1993)
Samaria, Ferdinando, Young, Steve: HMM-based architecture for face identification. Image Vis. Comput. 12(8), 537–543 (1994)
Lee, D.D., Seung, H.S.: Algorithms for non-negative matrix factorization. In: NIPS, pp. 556–562 (2000)
Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cogn. Neurosci. 3(1), 71–86 (1991)
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, X. et al. (2019). Emotional Feedback Lighting Control System Based on Face Recognition. In: Jin, J., Li, P., Fan, L. (eds) Green Energy and Networking. GreeNets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-21730-3_26
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DOI: https://doi.org/10.1007/978-3-030-21730-3_26
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