Transfer of Coordination Skill to the Unpracticed Hand in Immersive Environments

Xiao, Shan; Ye, Xupeng; Guo, Yaqiu; Gao, BoYu; Long, Jinyi

doi:10.1109/vr46266.2020.00045

Cited by 9 publications

(1 citation statement)

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“…On the other hand, there are indications from one study that that the use of movement representation in virtual environment showed better quality of upper-limb reaching motions than without movement representation [22]. Besides, a study of bimanual virtual rehabilitation tasks performed by healthy participants showed that FMR led to higher learning outcomes for coordination skills than AMR [59]. This might be because the increased realism of movement representation elicited a higher sense of agency and consequently influenced their participants' performance.…”

Section: Motor Learning Resultsmentioning

confidence: 99%

Survey of Movement Reproduction in Immersive Virtual Rehabilitation

Wang

Huang

Yang

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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Virtual reality (VR) has emerged as a powerful tool for rehabilitation. Many effective VR applications have been developed to support motor rehabilitation of people affected by motor issues. Movement reproduction, which transfers users' movements from the physical world to the virtual environment, is commonly used in VR rehabilitation applications. Three major components are required for movement reproduction in VR: (1) movement input, (2) movement representation, and (3) movement modulation. Until now, movement reproduction in virtual rehabilitation has not yet been systematically studied. This paper aims to provide a state-of-the-art review on this subject by focusing on existing literature on motor rehabilitation using immersive VR. In this review, we provided in-depth discussions on the rehabilitation goals and outcomes, technology issues behind virtual rehabilitation, and user experience regarding movement reproduction. Similarly, we present good practices and highlight challenges and opportunities that can form constructive suggestions for the design and development of fit-for-purpose VR rehabilitation applications and can help frame future research directions for this emerging area that combines VR and health.

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Section: Motor Learning Resultsmentioning

confidence: 99%