Analysis of Physical Activities in Older Adults Based on Multimodal Data in Rhythm Game-Based eSports

Abstract

This paper describes an analysis of physical activities in older adults engaged in rhythm game-based eSports using a multimodal data approach. While eSports are increasingly recognized as a viable recreational activity for older adults, methods for comprehensively assessing their physiological and behavioral responses remain insufficiently developed. To address this gap, we constructed a data collection framework that integrates heart rate monitoring, in-game event tracking, and gaze and head movement analysis. The results suggest that playing eSports induces measurable physiological and behavioral changes, highlighting the potential of multimodal data analysis to better understand older adults' engagement in eSports.