A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis

Abstract

Objective: The subjects’ physical activity levels and enjoyment of exercise after 15 min of virtual reality (VR) physical activity of different intensities were compared. Methods: Thirty-two subjects were selected for a mixed crossover experiment. They were randomly assigned to exercise in three VR games with different exercise intensities. Acceleration data of the subjects were collected and subjects’ exercise enjoyment and exercise levels were compared. The subjects’ emotional efficacy and arousal during exercise were measured and evaluated using the Feeling Scale (FS) and the Felt Arousal Scale (FAS), and the acceleration data were evaluated by clustering using the fuzzy c-mean (FCM) clustering algorithm. Results: A one-way ANOVA was performed on FS and FAS before and after VR physical activity, P overall p =.003 in FS, before and after low-intensity (LI), medium-intensity (MI), and high-intensity (HI) VR physical activity, the p-values were.087, p =.027, and p =.021, respectively. p