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  5. FreeGaming : mobile, collaborative, adaptive and augmented ExerGaming
 
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FreeGaming : mobile, collaborative, adaptive and augmented ExerGaming

Author(s)
Gorgu, Levent  
Campbell, Abraham G.  
McCusker, Kealan  
Dragone, Mauro  
O'Grady, Michael J.  
O'Connor, Noel E.  
O'Hare, G. M. P. (Greg M. P.)  
Uri
http://hdl.handle.net/10197/2800
Date Issued
2010-11-08
Date Available
2011-02-24T09:32:06Z
Abstract
Addressing the obesity epidemic that plagues many societies remains an outstanding public health issue. One innovative approach to addressing this problem is Exergaming. A combination of "Exercise" and "Gaming", the objective is to motivate people participate in exercise regimes, usually in their home environment. In this paper a more holistic interpretation of this exercise paradigm is proposed. Freegaming augments Exergaming in a number of key dimensions but especially through the promotion of games in outdoor mobile contexts and within a social environment. The design and implementation of a platform for Freegaming is described and illustrated through the description of a sample game.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Copyright (Published Version)
ACM 2010
Subjects

Multiagent systems

Augmented reality

Pervasive health

Exergaming

Mobile computing

Subject – LCSH
Multiagent systems
Mobile computing
Augmented reality
Obesity in children--Prevention
Computer games--Health aspects
Exercise--Software
DOI
10.1145/1971519.1971550
Web versions
http://dx.doi.org/10.1145/1971519.1971550
Language
English
Status of Item
Peer reviewed
Journal
MoMM '10 Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Conference Details
Presented at the 8th International Conference on Advances in Mobile Computing & Multimedia (MoMM2010), 8th - 10th November 2010, Paris, France
ISBN
978-1-4503-0440-5
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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76_MoMM2010_Full_Gorgu.pdf

Size

447.52 KB

Format

Adobe PDF

Checksum (MD5)

7751311cbe3fa5efa74a923002f06e58

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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