Skip navigation

A multi platform pain assessment tool using bespoke gaming sensors

A multi platform pain assessment tool using bespoke gaming sensors

Spyridonis, Fotios ORCID: 0000-0003-4253-365X, Grønli, Tor-Morten, Paraskevopoulos, Ioannis Th. and Ghinea, Gheorghita (2016) A multi platform pain assessment tool using bespoke gaming sensors. In: Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '16. Association for Computing Machinery (ACM), New York, USA, pp. 1-4. ISBN 978-1-4503-4337-4 (doi:https://doi.org/10.1145/2910674.2910701)

[img]
Preview
PDF (Author Accepted Manuscript)
16406 SPYRIDONIS_Multi_Platform_Pain_Assessment_Tool_2016.pdf - Accepted Version

Download (523kB) | Preview

Abstract

The use of commercial game devices for the purpose of developing novel interactive solutions in order to support the provision of care has attracted considerable interest over the last years. However, the development of such solutions to use with the clinical assessment of the notoriously challenging experience of pain has fallen behind in recent years. In this paper, we present a proposed conceptual design and one example tool for pain assessment using Microsoft Kinect as the interaction method. Past research demonstrated the usefulness of Virtual Reality, and especially Kinect, in the management and reduction of. It is anticipated that our tool will provide a more natural user experience that enables pain sufferers to also assess their pain experience either in a clinical setting or in the comfort of a home environment.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '16
Additional Information: Conference held on Corfu, Island, Greece from June 29 - July 01, 2016
Uncontrolled Keywords: Pain; Pain drawing; Cloud; Virtual reality; Kinect; Consumer game devices; Natural user interfaces; Health management
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 21 Nov 2017 10:08
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/16406

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics