Clinical assessment of depth sensor based pose estimation algorithms for technology supervised rehabilitation applications
(2018)
Journal Article
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., & Hughes, E. (2019). Clinical assessment of depth sensor based pose estimation algorithms for technology supervised rehabilitation applications. International Journal of Medical Informatics, 121, 30-38. https://doi.org/10.1016/j.ijmedinf.2018.11.001
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... Read More about Clinical assessment of depth sensor based pose estimation algorithms for technology supervised rehabilitation applications.