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Towards an adaptive gaming framework for TeleRehabilitation

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PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Pages 305 - 306

https://doi.org/10.1145/3316782.3321545

Published: 05 June 2019 Publication History

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Abstract

This paper introduces a framework for building adaptive serious games in the context of telerehabilitation. This framework takes advantage of 3D motion tracking and virtual reality devices, to present a personalized and adaptive gaming system, which allows patients to perform exercises as suggested by their physiotherapy experts, while being fully engaged in a gamified 3D scene. Virtual characters are dynamically displayed within scenes to guide users through the different set of required gestures. Virtual assistants have the ability to learn and adapt to the best level of difficulty in real-time based on the user performance. An intelligent alerting and automatic correction components are embedded in our engine, so that pre-calculated gesture patterns are correlated and matched with patients' gestures. Consequently, the system estimates the perceived difficulty of gestures by the patient, so that automatic adjustments are executed to ensure a highly engaging and adaptive serious game experience. A pilot study has been conducted to prove the usability and effectiveness of our gamified physiotherapy solution.

References

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Imad Afyouni, Faizan Ur Rehman, Ahmad Muaz Qamar, Sohaib Ghani, Syed Osama Hussain, Bilal Sadiq, Mohamed Abdur Rahman, Abdullah Murad, and Saleh Basalamah. 2017. A therapy-driven gamification framework for hand rehabilitation. User Modeling and User-Adapted Interaction 27, 2 (2017), 215--265.

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Nadia Hocine, Abdelkader Gouaïch, Stefano A. Cerri, Denis Mottet, Jérome Froger, and Isabelle Lafont. 2015. Adaptation in serious games for upper-limb rehabilitation: an approach to improve training outcomes. User Modeling and User-Adapted Interaction 25, 1 (2015), 65--98.

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Ravi Komatireddy, Spencer Hutchins, and Mitul Shah. 2013. Systems, apparatus and methods for non-invasive motion tracking to augment patient administered physical rehabilitation. US Patent App. 13/524,708.

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Cited By

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Akinsiku AWatson FMajekodunmi TDaley KRaghavan PMentis H(2023)Adapting to Telerehabilitation Care During the COVID-19 Pandemic: The Future is HybridProceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3596671.3598573(1-14)Online publication date: 13-Jun-2023
https://dl.acm.org/doi/10.1145/3596671.3598573
Hare RTang Y(2023)Player Modeling and Adaptation Methods Within Adaptive Serious GamesIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.320392610:4(1939-1950)Online publication date: Aug-2023
https://doi.org/10.1109/TCSS.2022.3203926
Carvalho CTeran LMota MPereira RSantos CBento Villela MRios da Hora Rodrigues Kde Gois Ribeiro Darin T(2022)A systematic mapping study on digital game adaptation dimensionsProceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems10.1145/3554364.3559122(1-14)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3554364.3559122
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Index Terms

Towards an adaptive gaming framework for TeleRehabilitation
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems
    2. Users and interactive retrieval
      1. Personalization
  2. Information systems applications
    1. Multimedia information systems

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Published In

PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

June 2019

655 pages

ISBN:9781450362320

DOI:10.1145/3316782

Conference Chair:
Fillia Makedon
University of Texas at Arlington

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 June 2019

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PETRA '19

PETRA '19: The 12th PErvasive Technologies Related to Assistive Environments Conference

June 5 - 7, 2019

Rhodes, Greece

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Cited By

View all

Akinsiku AWatson FMajekodunmi TDaley KRaghavan PMentis H(2023)Adapting to Telerehabilitation Care During the COVID-19 Pandemic: The Future is HybridProceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3596671.3598573(1-14)Online publication date: 13-Jun-2023
https://dl.acm.org/doi/10.1145/3596671.3598573
Hare RTang Y(2023)Player Modeling and Adaptation Methods Within Adaptive Serious GamesIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.320392610:4(1939-1950)Online publication date: Aug-2023
https://doi.org/10.1109/TCSS.2022.3203926
Carvalho CTeran LMota MPereira RSantos CBento Villela MRios da Hora Rodrigues Kde Gois Ribeiro Darin T(2022)A systematic mapping study on digital game adaptation dimensionsProceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems10.1145/3554364.3559122(1-14)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3554364.3559122
Akinsiku AAvellino IGraham YMentis HKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)It’s Not Just the Movement: Experiential Information Needed for Stroke TelerehabilitationProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445663(1-12)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445663
Afyouni IMurad AEinea A(2020)Adaptive Rehabilitation Bots in Serious GamesSensors10.3390/s2024703720:24(7037)Online publication date: 9-Dec-2020
https://doi.org/10.3390/s20247037

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