Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population

By Stepán Obdrzálek, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy, E. Seto, H. Jimison, M. Pavel. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

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Gesture recognition for human-robot collaboration: A review (2017, background): “Recently, several band-based sensor gesture control systems have been reported (Zhang and Harrison, 2015; Haroon and Malik, 2016; Roy et al., 2016).”
Spatiotemporal representation of 3D skeleton joints-based action recognition using modified spherical harmonics (2016, background): “The studies recently conducted by (Alnowami et al., 2012; Obdrzalek et al., 2012; Yao et al., 2011) indicate that, compared with traditional 2D image data, the representation of skeleton joints only for action recognition provides better results.”
A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation (2014, background): “For example, Obdrzalek et al. [25] specified 6 physical exercises to examine pose accuracy of Kinect.”
Evolutionary joint selection to improve human action recognition with RGB-D devices (2014, background): “Reliability and accuracy of RGB-D devices have been studied in several works (Obdrzalek et al., 2012; Alnowami et al., 2012), which show that the extraction of a skeleton from depth information is not straightforward.”