Video elicited physiological signal dataset considering indoor temperature factors

Frontiers in Neuroscience

Neuroscience

Takashi Yamauchi¹  Kunxia Wang²  Xueting Shen²  Zihao Zhao² 

[1] Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United States;School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, China;

关键词: indoor temperature stimuli;    emotion recognition;    physiological signals;    video stimulus;    classification model;   

DOI  :  10.3389/fnins.2023.1180407

 received in 2023-03-06, accepted in 2023-05-03,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionHuman emotions vary with temperature factors. However, most studies on emotion recognition based on physiological signals overlook the influence of temperature factors. This article proposes a video induced physiological signal dataset (VEPT) that considers indoor temperature factors to explore the impact of different indoor temperature factors on emotions.MethodsThis database contains skin current response (GSR) data obtained from 25 subjects at three different indoor temperatures. We selected 25 video clips and 3 temperatures (hot, comfortable, and cold) as motivational materials. Using SVM, LSTM, and ACRNN classification methods, sentiment classification is performed on data under three indoor temperatures to analyze the impact of different temperatures on sentiment.ResultsThe recognition rate of emotion classification under three different indoor temperatures showed that anger and fear had the best recognition effect among the five emotions under hot temperatures, while joy had the worst recognition effect. At a comfortable temperature, joy and calmness have the best recognition effect among the five emotions, while fear and sadness have the worst recognition effect. In cold temperatures, sadness and fear have the best recognition effect among the five emotions, while anger and joy have the worst recognition effect.DiscussionThis article uses classification to recognize emotions from physiological signals under the three temperatures mentioned above. By comparing the recognition rates of different emotions at three different temperatures, it was found that positive emotions are enhanced at comfortable temperatures, while negative emotions are enhanced at hot and cold temperatures. The experimental results indicate that there is a certain correlation between indoor temperature and physiological emotions.

【 授权许可】

Unknown   
Copyright © 2023 Wang, Zhao, Shen and Yamauchi.