Utilising the Intel RealSense camera for measuring health outcomes in clinical research

Siena, F.L. ORCID: 0000-0002-6908-7365, Byrom, B., Watts, P. ORCID: 0000-0002-0133-6687 and Breedon, P. ORCID: 0000-0002-1006-0942, 2018. Utilising the Intel RealSense camera for measuring health outcomes in clinical research. Journal of Medical Systems, 42 (3): 53. ISSN 0148-5598

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Abstract

Applications utilising 3D Camera technologies for the measurement of health outcomes in the health and wellness sector continues to expand. The Intel® RealSense™ is one of the leading 3D depth sensing cameras currently available on the market and aligns itself for use in many applications, including robotics, automation, and medical systems. One of the most prominent areas is the production of interactive solutions for rehabilitation which includes gait analysis and facial tracking. Advancements in depth camera technology has resulted in a noticeable increase in the integration of these technologies into portable platforms, suggesting significant future potential for pervasive in-clinic and field based health assessment solutions. This paper reviews the Intel RealSense technology’s technical capabilities and discusses its application to clinical research and includes examples where the Intel RealSense camera range has been used for the measurement of health outcomes. This review supports the use of the technology to develop robust, objective movement and mobility-based endpoints to enable accurate tracking of the effects of treatment interventions in clinical trials.

Item Type: Journal article
Publication Title: Journal of Medical Systems
Creators: Siena, F.L., Byrom, B., Watts, P. and Breedon, P.
Publisher: Springer
Date: March 2018
Volume: 42
Number: 3
ISSN: 0148-5598
Identifiers:
NumberType
10.1007/s10916-018-0905-xDOI
905Publisher Item Identifier
Rights: © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Divisions: Schools > School of Architecture, Design and the Built Environment
Depositing User: Jill Tomkinson
Date Added: 09 Feb 2018 11:18
Last Modified: 09 Feb 2018 11:18
URI: http://irep.ntu.ac.uk/id/eprint/32653

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