Emotional Arousal Intervals Estimation Method for Older Adults Playing eSports by Focusing on Cheek Saturation

Abstract

With the recent emergence of a super-aging society, extending the healthy life expectancy of older adults has become increasingly important. Dementia has been reported to hinder the extension of healthy life expectancy. Electronic sports (eSports) have recently attracted wide attention to prevent dementia. People experience various emotions while playing eSports. The quantification of these emotions indicates the extent to which they enjoy playing eSports. This indicator can be used to evaluate eSports activities. We propose a method to estimate when emotions occur while playing eSports with the aim of creating a quantitative index to determine people’s emotions while playing eSports. Consequently, we determined the possibility of estimating emotional arousal intervals by examining the changes in the saturation of the cheeks using machine learning.