Articulated foot improves human likeliness of walking when compared to a flat foot
Résumé
Simulations of human walking is a current subject of research in different areas. Between the different approaches for the synthesis of human walking (Xiang et al. 2010 Xiang Y, Arora JS, Abdel-Malek K. 2010. Physics-based modeling and simulation of human walking: a review of optimization-based and other approaches. Struct Multidiscip Optim. 42:1–23.[Crossref], [Web of Science ®], [Google Scholar]), two clearly distinguish: dynamical synthesis and data motion replay. The first approach allows for the study of the gait itself, without the bias of human data replay that can be found in the second case. This synthesis of walking is commonly found in the humanoid robotics field. However, the majority of robots present flat feet, which is a known drawback in the synthesis of human like gait.We propose here to compare walking motions generated for human virtual models with and without articulated feet. We make the hypothesis that articulated feet increases the range of possible motions and improves the human likeliness of the generated gait.
Domaines
Interface homme-machine [cs.HC]Origine | Fichiers éditeurs autorisés sur une archive ouverte |
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