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The Effect of Color Temperature Changes on Bio-signals in Autonomous Vehicle Environment
( Kyubeom-kim ),( Hyungseok-jo ),( Seokhuen-ahn ),( Namhun-her ),( Sanghyeok-seo ),( Byungchan-min ) 한국감성과학회 2019 한국감성과학회 국제학술대회(ICES) Vol.2019 No.-
The creation of a stable indoor atmosphere of a vehicle is suggested as a solution for the receptivity problem. A pleasant environment is to be provided to drivers using lighting as a tool for it. The illuminance level of 10 1x(Lux) was presented based on night driving. As for color temperature, 3000K, 4000K, 5000K, and 6000K were presented at regular intervals. As a result of variance analysis by band for each color temperature, there was no difference in βPower, however, in the case of αPower, there was a statistically significant difference at the significance level of 5%(p<0.05). However, if the trend of data was examined, it can be certified that the activity of sympathetic nervous system was low at low color temperature(3000K, 4000K) and high at high color temperature(5000K, 6000K).
( Hyungseok-jo ),( Kyubeom-kim ),( Seokhuen-ahn ),( Namhun-her ),( Sanghyeok-seo ),( Youngjung-kim ),( Byungchan-min ) 한국감성과학회 2019 한국감성과학회 국제학술대회(ICES) Vol.2019 No.-
The purpose of this study was to observe the correlation between illuminance and the color temperature that is suitable for the learning environment through the EEG. According to the characteristics of the color temperature it was divided into 3000K, 4000K, 6500K. The illuminance was set at 400lx and 1000lx as the KS standards. UK test was performed in each lighting situation. During the experiment, EEG were measured to see the central nervous system response. The experiment included 12 male that experienced learning in the classroom and reading room. The EEG were sampled at 512Hz using a TAOS VITALBRAIN, and the detected raw data were filtered through a 60Hz noise filter. After filtering, frequency analysis was performed. And power spectrum analysis was performed for αwave and βwave. We analyzed differences in the EEG based on the different lighting by 2-way ANOVA and post-hoc tests. The results of the study showed that a significant difference exists in terms of the EEG based on the illuminance and color temperature(p<0.05). Regarding the alpha power, 3000K-1000lx was higher than other lighting.