(2014). Online quality assessment of human movement from skeleton data . Paper presented at British Machine Vision Conference,

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A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, neutral): “However, visual data affect the privacy of inhabitants, which calls for privacy preserving approaches in videos and images [54, 63-65].”
Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, methodology): “Many other datasets captured using a Kinect v1 camera were also released to the public, including the MSR Daily Activity 3D [121], MSR Action Pairs [113], Online RGBD Action (ORGBD) [107], UTKinect-Action [124], Florence 3D-Action [118], CMU-MAD [104], UTD-MHAD [103], G3D/G3Di [105], [119], SPHERE [”
Human motion assessment in real time using recurrent self-organization (2016, methodology): “[6] proposed a method for assessing the quality of gait from sequences of people on stairs.”