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)
Prévisualisation |
PDF
Rivest L 2019 19164.pdf - Version acceptée Licence d'utilisation : Tous les droits réservés aux détenteurs du droit d'auteur. Télécharger (1MB) | Prévisualisation |
Résumé
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.
| Type de document: | Compte rendu de conférence |
|---|---|
| Professeur: | Professeur Aissaoui, Rachid Rivest, Louis |
| Affiliation: | Génie des systèmes, Génie des systèmes |
| Date de dépôt: | 08 août 2019 14:15 |
| Dernière modification: | 13 avr. 2023 16:08 |
| URI: | https://espace2.etsmtl.ca/id/eprint/19164 |
Actions (Authentification requise)
 |
Dernière vérification avant le dépôt |