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Extracting grasping cues from one-handed tools geometry for digital human models

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Macloud, Alexandre, Zeighami, Ali, Aissaoui, Rachid et Rivest, Louis. 2019. « Extracting grasping cues from one-handed tools geometry for digital human models ». In International Conference on Human Systems Integration (HSI2019) (Biarritz, France, Sept. 11-13, 2019)

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Abstract

Grasping remains a complex topic for the digital human modeling (DHM) community. The aim of this study is to propose a new method to extract grasping cues for familiar manufacturing tools such as mallets, screwdrivers, pliers and straight drills. The geometric cues allow automatically defining a plausible grasp for these manufacturing tools. The method uses the tool 3D geometry as an input. The tool mesh is segmented into zones, segments, and regions, successively. The method next classifies tools’ regions as a head, a handle, or a trigger (if any), reflecting tools’ affordance. The grasping cues are then extracted from the regions so as to be used for generating a task-oriented grasp.

Item Type: Conference proceeding
Professor:
Professor
Aissaoui, Rachid
Rivest, Louis
Affiliation: Génie des systèmes, Génie des systèmes
Date Deposited: 08 Aug 2019 14:15
Last Modified: 17 Jan 2020 19:45
URI: https://espace2.etsmtl.ca/id/eprint/19164

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