Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Texi, Xiao, Xiaoyue, Mao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548798/
https://www.ncbi.nlm.nih.gov/pubmed/37799495
http://dx.doi.org/10.1177/20552076231205287
_version_ 1785115351138172928
author Zhang, Texi
Xiao, Xiaoyue
Mao, Jie
author_facet Zhang, Texi
Xiao, Xiaoyue
Mao, Jie
author_sort Zhang, Texi
collection PubMed
description 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 < .001 in FAS, before and after LI, MI, and HI VR physical activity, the p-values were .029, < .001, < .001. According to the FCM clustering of acceleration activity counts by LI, MI, and HI, the clustering centers of the right arm acceleration counts were 2016.77, 6118.31, and 9923.45; the clustering centers of the right thigh acceleration counts were 248.30, 1895.22, and 3485.60; and the clustering centers of the combined upper and lower limb acceleration counts were 1443.83, 4415.47, and 7149.13. CONCLUSION: VR physical activity enhances subjects’ sense of enjoyment of exercise and emotional arousal, with moderate intensity VR physical activity having the best effect. VR physical activity is skewed toward high upper-extremity activity and low lower-extremity activity. The combined intensity of VR physical activity matches that of traditional exercise, and it can achieve the workout effect of the traditional workout modality.
format Online
Article
Text
id pubmed-10548798
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-105487982023-10-05 A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis Zhang, Texi Xiao, Xiaoyue Mao, Jie Digit Health Original Research 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 < .001 in FAS, before and after LI, MI, and HI VR physical activity, the p-values were .029, < .001, < .001. According to the FCM clustering of acceleration activity counts by LI, MI, and HI, the clustering centers of the right arm acceleration counts were 2016.77, 6118.31, and 9923.45; the clustering centers of the right thigh acceleration counts were 248.30, 1895.22, and 3485.60; and the clustering centers of the combined upper and lower limb acceleration counts were 1443.83, 4415.47, and 7149.13. CONCLUSION: VR physical activity enhances subjects’ sense of enjoyment of exercise and emotional arousal, with moderate intensity VR physical activity having the best effect. VR physical activity is skewed toward high upper-extremity activity and low lower-extremity activity. The combined intensity of VR physical activity matches that of traditional exercise, and it can achieve the workout effect of the traditional workout modality. SAGE Publications 2023-10-03 /pmc/articles/PMC10548798/ /pubmed/37799495 http://dx.doi.org/10.1177/20552076231205287 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Zhang, Texi
Xiao, Xiaoyue
Mao, Jie
A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis
title A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis
title_full A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis
title_fullStr A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis
title_full_unstemmed A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis
title_short A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis
title_sort virtual reality physical activity pattern assessment: mixed crossover experiments and cluster analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548798/
https://www.ncbi.nlm.nih.gov/pubmed/37799495
http://dx.doi.org/10.1177/20552076231205287
work_keys_str_mv AT zhangtexi avirtualrealityphysicalactivitypatternassessmentmixedcrossoverexperimentsandclusteranalysis
AT xiaoxiaoyue avirtualrealityphysicalactivitypatternassessmentmixedcrossoverexperimentsandclusteranalysis
AT maojie avirtualrealityphysicalactivitypatternassessmentmixedcrossoverexperimentsandclusteranalysis
AT zhangtexi virtualrealityphysicalactivitypatternassessmentmixedcrossoverexperimentsandclusteranalysis
AT xiaoxiaoyue virtualrealityphysicalactivitypatternassessmentmixedcrossoverexperimentsandclusteranalysis
AT maojie virtualrealityphysicalactivitypatternassessmentmixedcrossoverexperimentsandclusteranalysis