Exploring Different User Interfaces for Automatic Tracking of Free Weight Exercises Using Computer Vision

Günter Alce, Axel Mulder, Jakob Håkansson

2023

Abstract

Several research studies have shown the importance of physical exercise. The global gym and fitness industry faced a transition from traditional gyms to virtual fitness training during the pandemic lockdowns. A proliferation of applications is available to provide different digital gym experiences. Advagym is one example that uses sensors to track and give feedback to gym goers. Sony’s R&D Center Lund Laboratory has developed a Camera-based Tracking System (CTS) which aims to offer an automatic free weight exercise tracking solution with Advagym. The main goal of this paper is to align the Advagym application combined with CTS for free weight exercise (FWE) tracking and to conduct a comparative study of four different user interfaces presenting FWE tracking to increase the user experience. The main contribution of this paper is to elucidate knowledge about which UI feedback of FWE given for the “gym-goer” was preferred.

Paper Citation

in Harvard Style

Alce G., Mulder A. and Håkansson J. (2023). Exploring Different User Interfaces for Automatic Tracking of Free Weight Exercises Using Computer Vision. In Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-645-3, SciTePress, pages 143-150. DOI: 10.5220/0011827400003476

in Bibtex Style

@conference{ict4awe23,
author={Günter Alce and Axel Mulder and Jakob Håkansson},
title={Exploring Different User Interfaces for Automatic Tracking of Free Weight Exercises Using Computer Vision},
booktitle={Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2023},
pages={143-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011827400003476},
isbn={978-989-758-645-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - Exploring Different User Interfaces for Automatic Tracking of Free Weight Exercises Using Computer Vision
SN - 978-989-758-645-3
AU - Alce G.
AU - Mulder A.
AU - Håkansson J.
PY - 2023
SP - 143
EP - 150
DO - 10.5220/0011827400003476
PB - SciTePress