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Motion-Based Serious Games for Hand Assistive Rehabilitation

Published:07 March 2017Publication History

ABSTRACT

Cerebral Palsy, trauma, and strokes are common causes for the loss of hand movements and the decrease in muscle strength for both children and adults. Improving fine motor skills usually involves the synchronization of wrists and fingers by performing appropriate tasks and activities. This demo introduces a novel patient-centered framework for the gamification of hand therapies in order to facilitate and encourage the rehabilitation process. This framework consists of an adaptive therapy-driven 3D environment augmented with our motion-based natural user interface. An intelligent game generator is developed, which translates the patient's gestures into navigational movements with therapy-driven goals, while adapting the level of difficulty based on the patient profile and real-time performance. A comprehensive evaluation and clinical-based assessments were conducted in a local children disability center, and highlights of the results are presented.

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References

  1. Imad Afyouni, Faizan Ur Rehman, Ahmad Qamar, Akhlaq Ahmad, Mohamed Abdur, and Saleh Basalamah. 2014. A GIS-based Serious Game Recommender for Online Physical Therapy. In In Proceedings of the Third International ACM SIGSPATIAL Workshop on HealthGIS (HealthGIS'14). Google ScholarGoogle ScholarDigital LibraryDigital Library
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        • Published in

          cover image ACM Conferences
          IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces
          March 2017
          246 pages
          ISBN:9781450348935
          DOI:10.1145/3030024

          Copyright © 2017 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 7 March 2017

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          • demonstration

          Acceptance Rates

          IUI '17 Companion Paper Acceptance Rate63of272submissions,23%Overall Acceptance Rate746of2,811submissions,27%

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