Temporary loss of attention due to lack of sleep is one of the leading causes of illness and traffic accidents. One of the researches to prevent them is detection technology of arousal level using the skin temperature of the nose, and a thermo camera is a non-invasive device for acquiring this. However, there are some conditions and problems in detecting a specific area directly from an infrared image. In this study, a model that can detect the face and nose regions from the thermal image corresponding to the displacement of the face by machine learning was created and evaluated aiming at application to the awakening level estimation technology. The results show that the model created may be useful.
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