Replication Data for: Markerless motion capture to assess upper extremity movements in individuals with dyskinetic cerebral palsy: an accuracy and validity study KU Leuven
Helga Haberfehlner, Inti Vanmechelen, Ellen Van Wonterghem, Jean-Marie Aerts, Hans Hallez, Elegast Monbaliu
The dataset contains 2D coordinates in pixels of key points extracted from videos of 30 children, adolescent and young adults with dyskinetic cerebral palsy (DCP) and 21 typically developing (TD) peers (age 5-24). The performed task was a reaching-sideways task (from starting point on the upper leg to the point of task achievment (PTA) sidewards at shoulder height) including eight repetitions. The key points were extracted from videos using open-source toolbox code DeepLabCut version 2.3 [1, 2]. The collected key points were: ankle, knee, hip, shoulders, elbow, wrist, forehead ...