research-article

MRehab: A Mixed Reality Rehabilitation System Supporting Integrated Speech and Hand Training

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Bin YuAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 8, Issue 3

Article No.: 133, Pages 1 - 23

https://doi.org/10.1145/3678532

Published: 09 September 2024 Publication History

Abstract

Integrated speech and hand-motor training is an effective post-stroke rehabilitation method. However, few interactive systems and assistive technologies were developed in this field. Driven by this challenge, we leverage Mixed Reality technology, which merges immersive virtual scenarios with physical hands-on tools in the real world, to provide patients with multi-modal interactions and engaging training experiences. Following a user-centered design approach, we first interviewed seven therapists to identify user requirements and design considerations. We further designed MRehab, an interactive rehabilitation system that allows patients to regain speech and hand skills through MR scenarios that depict daily living activities. We conducted a preliminary user test with 12 patients and 5 therapists to validate the feasibility and understand the user experience with MRehab. The results confirmed its feasibility for hand-motor training. Additionally, the patients expressed high motivation, engagement, and a positive attitude toward using MRehab. Our findings demonstrate the potential of MR technology in integrated speech and hand function rehabilitation training.

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Li BRen YWang YYang J(2024)SpaceBeat: Identity-aware Multi-person Vital Signs Monitoring Using Commodity WiFiProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785908:3(1-23)Online publication date: 9-Sep-2024
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Leng ZJung MHwang SOh SZhang LPlötz TKim KKostakos VKay JHoang T(2024)Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion RecognitionCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678452(537-544)Online publication date: 5-Oct-2024
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Index Terms

MRehab: A Mixed Reality Rehabilitation System Supporting Integrated Speech and Hand Training
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
2. Social and professional topics
  1. Professional topics
    1. History of computing

Index terms have been assigned to the content through auto-classification.

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 8, Issue 3

August 2024

1782 pages

EISSN:2474-9567

DOI:10.1145/3695755

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Copyright © 2024 ACM.

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Published: 09 September 2024

Published in IMWUT Volume 8, Issue 3

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Li BRen YWang YYang J(2024)SpaceBeat: Identity-aware Multi-person Vital Signs Monitoring Using Commodity WiFiProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785908:3(1-23)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678590
Pettys-Baker RClarke MHolschuh BKostakos VKay JHoang T(2024)Functional Now, Wearable Later: Examining the Design Practices of Wearable TechnologistsProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676615(71-81)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676615
Leng ZJung MHwang SOh SZhang LPlötz TKim KKostakos VKay JHoang T(2024)Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion RecognitionCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678452(537-544)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3678452
Fu YZhang YPan HLu YLi XChen LRen JLi XZhang XZhang Y(2024)Pushing the Limits of Acoustic Spatial Perception via Incident Angle EncodingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595838:2(1-28)Online publication date: 15-May-2024
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Ruotsalo TTraver VKawala-Sterniuk ALeiva L(2024)Affective RelevanceIEEE Intelligent Systems10.1109/MIS.2024.339150839:4(12-22)Online publication date: 19-Apr-2024
https://dl.acm.org/doi/10.1109/MIS.2024.3391508

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