Estimation of Subjective Arousal Level with Convolutional Neural Networks During LED Light Exposure

Abstract

The purpose of this study is to estimate subjective arousal levels from nasal skin temperature data during exposure to two types of red LEDs using a convolutional neural network. Subjective arousal is estimated from nasal skin temperature and the accuracy was shown to vary depending on the bandwidth of the light.