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Shinya Kita

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Proceedings Article | 27 March 2015 Paper

Emotion identification method using RGB information of human face

Shinya Kita, Akira Mita

Proceedings Volume 9435, 943531 (2015) https://doi.org/10.1117/12.2084083

KEYWORDS: Light sources and illumination, Nervous system, RGB color model, Nose, Blood pressure, Blood vessels, Temperature metrology, Analytical research, Independent component analysis, Facial recognition systems

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Recently, the number of single households is drastically increased due to the growth of the aging society and the diversity of lifestyle. Therefore, the evolution of building spaces is demanded. Biofied Building we propose can help to avoid this situation. It helps interaction between the building and residents’ conscious and unconscious information using robots. The unconscious information includes emotion, condition, and behavior. One of the important information is thermal comfort. We assume we can estimate it from human face. There are many researchs about face color analysis, but a few of them are conducted in real situations. In other words, the existing methods were not used with disturbance such as room lumps. In this study, Kinect was used with face-tracking. Room lumps and task lumps were used to verify that our method could be applicable to real situation. In this research, two rooms at 22 and 28 degrees C were prepared. We showed that the transition of thermal comfort by changing temperature can be observed from human face. Thus, distinction between the data of 22 and 28 degrees C condition from face color was proved to be possible.

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