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Sarsfield, J. 
ORCID: 0000-0003-0146-9102, Brown, D. ORCID: 0000-0002-1677-7485, Sherkat, N., Langensiepen, C. ORCID: 0000-0002-0165-9048, Lewis, J. ORCID: 0000-0002-2788-5043, Taheri, M. ORCID: 0000-0001-7594-4530, McCollin, C., Barnett, C. ORCID: 0000-0001-6898-9095, Selwood, L., Standen, P., Logan, P., Simcox, C., Killick, C. and Hughes, E.,
2019.
Clinical assessment of depth sensor based pose estimation algorithms for technology supervised rehabilitation applications.
International Journal of Medical Informatics, 121, pp. 30-38.
ISSN 1386-5056
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Abstract
Encouraging rehabilitation by the use of technology in the home can be a cost-effective strategy, particularly if consumer-level equipment can be used. We present a clinical qualitative and quantitative analysis of the pose estimation algorithms of a typical consumer unit (Xbox One Kinect), to assess its suitability for technology supervised rehabilitation and guide development of future pose estimation algorithms for rehabilitation applciations. We focused the analysis on upper-body stroke rehabilitation as a challenging use case. We found that the algorithms require improved joint tracking, especially for the shoulder, elbow and wrist joints, and exploiting temporal information for tracking when there is full or partial occlusion in the depth data.
| Item Type: | Journal article | ||||||
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| Publication Title: | International Journal of Medical Informatics | ||||||
| Creators: | Sarsfield, J., Brown, D., Sherkat, N., Langensiepen, C., Lewis, J., Taheri, M., McCollin, C., Barnett, C., Selwood, L., Standen, P., Logan, P., Simcox, C., Killick, C. and Hughes, E. | ||||||
| Publisher: | Elsevier Ireland | ||||||
| Date: | January 2019 | ||||||
| Volume: | 121 | ||||||
| ISSN: | 1386-5056 | ||||||
| Identifiers: |
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| Rights: | Creative Commons license: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jonathan Gallacher | ||||||
| Date Added: | 20 Nov 2018 08:44 | ||||||
| Last Modified: | 08 Nov 2019 03:00 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/35068 |
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