Publikation: Exergame-Like Feedback for Passive Upper Limbs Exoskeleton Fitting : A Feasibility Study with Augmented Reality
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Despite their potential benefits, exoskeletons' acceptance in the workplace is negatively affected by workers' discomfort caused by poorly fitted devices. Several approaches have been proposed to achieve a better fit through biomechanical analysis or utilisation of body modelling at the exoskeleton design stages. However, direct, real-time user support when putting on an exoskeleton has not been achieved so far. Our research addresses this challenge by providing exergame-like augmented reality (AR) feedback to guide workers in the fitting processes of a passive upper limb exoskeleton. To assess the usefulness and ease of use with regard to our approach, we carried out a feasibility study with twelve participants exploring the potential of AR feedback positively influencing the exoskeleton's fitting. Consequently, we observed the participant's preference towards the AR system over PDF instructions, hinting at higher user acceptability than classical methods. Thus suggesting the potential for industrial deployment.
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SAEEDI-GIVI, Christine, Lennard SCHWAAB, Thomas BOHNÉ, Sławomir K. TADEJA, 2024. Exergame-Like Feedback for Passive Upper Limbs Exoskeleton Fitting : A Feasibility Study with Augmented Reality. BioRob 2024 : IEEE RAS/EMBS 10th International Conference for Biomedical Robotics and Biomechatronics. Heidelberg, Germany, 1. Sept. 2024 - 4. Sept. 2024. In: 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob). IEEE, 2024, S. 29-34. Verfügbar unter: doi: 10.1109/biorob60516.2024.10719742BibTex
@inproceedings{SaeediGivi2024-09-01Exerg-73632, title={Exergame-Like Feedback for Passive Upper Limbs Exoskeleton Fitting : A Feasibility Study with Augmented Reality}, year={2024}, doi={10.1109/biorob60516.2024.10719742}, publisher={IEEE}, booktitle={2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)}, pages={29--34}, author={Saeedi-Givi, Christine and Schwaab, Lennard and Bohné, Thomas and Tadeja, Sławomir K.} }
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