Adaptive Control of Cardio-respiratory Training in a Virtual Reality Hiking Simulation: A Feasibility Study

Rodrigo Lima, Rodrigo Lima, Muhammad Asif, Muhammad Asif, Honorato Sousa, Sergi Bermúdez i Badia, Sergi Bermúdez i Badia

2022

Abstract

Adaptive Virtual Reality applications are a novel way to enhance and promote higher levels of physical activity and cardiorespiratory fitness, leading to a healthier lifestyle and avoid cardiovascular diseases. In this study, we developed a system using a virtual hiking simulator, the Levadas from Madeira Island, that aims to increase the compliance of recommendations levels of exertion by implementing a closed-loop adaptation according to the heart rate. The system was tested with a sample of twenty healthy young adults on a repeated measures design, comparing the adaptive VR, a non-adaptive VR version of the software, and a non-VR version. Perceived exertion, presence, usability and intrinsic motivation were assessed. The results from the study reveal that the adaptive control according to the heart rate promoted approximately 20% more time of exertion in the recommended target heart rate zone, while perceiving lower levels of exertion by the participants, compared to the non-adaptive condition.

Paper Citation

in Harvard Style

Lima R., Asif M., Sousa H. and Bermúdez i Badia S. (2022). Adaptive Control of Cardio-respiratory Training in a Virtual Reality Hiking Simulation: A Feasibility Study. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS; ISBN 978-989-758-552-4, SciTePress, pages 91-99. DOI: 10.5220/0011004400003123

in Bibtex Style

@conference{biosignals22,
author={Rodrigo Lima and Muhammad Asif and Honorato Sousa and Sergi Bermúdez i Badia},
title={Adaptive Control of Cardio-respiratory Training in a Virtual Reality Hiking Simulation: A Feasibility Study},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS},
year={2022},
pages={91-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011004400003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS
TI - Adaptive Control of Cardio-respiratory Training in a Virtual Reality Hiking Simulation: A Feasibility Study
SN - 978-989-758-552-4
AU - Lima R.
AU - Asif M.
AU - Sousa H.
AU - Bermúdez i Badia S.
PY - 2022
SP - 91
EP - 99
DO - 10.5220/0011004400003123
PB - SciTePress