Information gain-based metric for recognizing transitions in human activities
This paper aims to observe and recognize transition times, when human activities change.
No generic method has been proposed for extracting transition times at different levels of …
No generic method has been proposed for extracting transition times at different levels of …
Motion capture data segmentation using Riemannian manifold learning
W Bin, L Weibin, X Weiwei - Computer Animation and Virtual …, 2020 - Wiley Online Library
Due to the inherent nonlinear nature of data, traditional linear methods have some
limitations in finding the intrinsic dimensions of motion capture (Mo‐cap) data. Mo‐cap data …
limitations in finding the intrinsic dimensions of motion capture (Mo‐cap) data. Mo‐cap data …
Ergonomic Evaluation of Percentile Height Differences During Automorive Assembly Tasks–A Focus on Joint Angle Kinematics
J Kagumba - 2021 - search.proquest.com
The purpose of this study was to assess the effects of anthropometric height on movement
variability during seven simulated automotive assembly tasks. Twenty participants …
variability during seven simulated automotive assembly tasks. Twenty participants …