research-article

Benchmarking motion sensing devices for rehabilitative gaming

Authors:

Gary Ushaw,

Richard Davison,

Janet Eyre,

Graham MorganAuthors Info & Claims

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

Pages 143 - 148

https://doi.org/10.1145/2695664.2695677

Published: 13 April 2015 Publication History

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Abstract

The diversity of commercially available motion detection devices has yielded much interest in utilising action video games in the field of rehabilitation of impaired dexterity. Identifying the most suitable input device for a rehabilitative game is of paramount importance, but no comparative study currently exists. For the first time, a benchmark is introduced for the quantitative assessment of motion capture devices for gaming. A range of devices are considered, in the context of rehabilitative gaming projects, presenting results on the fidelity of motion capture that each provides. Recommendations are then made on the viability of domestic motion capture devices in terms of both patient involvement and fidelity of data capture.

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Cited By

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Singh MShankar RJung B(2021)Inside-Out Magnetic Tracking for Virtual/Augmented Reality ApplicationsIEEE Sensors Journal10.1109/JSEN.2021.312667221:24(28097-28106)Online publication date: 15-Dec-2021
https://doi.org/10.1109/JSEN.2021.3126672
Ushaw GDavison REyre JMorgan GKostkova PGrasso F(2015)Adopting Best Practices from the Games Industry in Development of Serious Games for HealthProceedings of the 5th International Conference on Digital Health 201510.1145/2750511.2750513(1-8)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2750511.2750513
Rocha AChoupina HFernandes JRosas MVaz RCunha J(2015)Kinect v2 based system for Parkinson's disease assessment2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2015.7318601(1279-1282)Online publication date: Aug-2015
https://doi.org/10.1109/EMBC.2015.7318601

Index Terms

Benchmarking motion sensing devices for rehabilitative gaming
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Information

Published In

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

April 2015

2418 pages

ISBN:9781450331968

DOI:10.1145/2695664

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Juan Manuel Corchado
University of Salamanca, Spain
,
Program Chairs:
Alessio Bechini
University of Pisa, Italy
,
Jiman Hong
Soongsil University, South Korea

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: 13 April 2015

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SAC 2015: Symposium on Applied Computing

April 13 - 17, 2015

Salamanca, Spain

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SAC '15 Paper Acceptance Rate 291 of 1,211 submissions, 24%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Singh MShankar RJung B(2021)Inside-Out Magnetic Tracking for Virtual/Augmented Reality ApplicationsIEEE Sensors Journal10.1109/JSEN.2021.312667221:24(28097-28106)Online publication date: 15-Dec-2021
https://doi.org/10.1109/JSEN.2021.3126672
Ushaw GDavison REyre JMorgan GKostkova PGrasso F(2015)Adopting Best Practices from the Games Industry in Development of Serious Games for HealthProceedings of the 5th International Conference on Digital Health 201510.1145/2750511.2750513(1-8)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2750511.2750513
Rocha AChoupina HFernandes JRosas MVaz RCunha J(2015)Kinect v2 based system for Parkinson's disease assessment2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2015.7318601(1279-1282)Online publication date: Aug-2015
https://doi.org/10.1109/EMBC.2015.7318601

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Cited By

Index Terms

Recommendations

SmartGlove for upper extremities rehabilitative gaming assessment

Evolutions in Gaming

Capturing and visualising playground games and performance: a Wii and Kinect based motion capture system