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3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality
| dc.rights.license | open | en_US |
| hal.structure.identifier | Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA] | |
| dc.contributor.author | LENTO, Bianca | |
| hal.structure.identifier | Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA] | |
| dc.contributor.author | SEGAS, Effie | |
| hal.structure.identifier | Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA] | |
| dc.contributor.author | LECONTE, Vincent | |
| hal.structure.identifier | Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA] | |
| dc.contributor.author | DOAT, Emilie | |
| dc.contributor.author | DANION, Frederic | |
| dc.contributor.author | PETERI, Renaud | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | BENOIS-PINEAU, Jenny | |
| hal.structure.identifier | Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA] | |
| dc.contributor.author | DE RUGY, Aymar | |
| dc.date.accessioned | 2024-10-14T09:56:33Z | |
| dc.date.available | 2024-10-14T09:56:33Z | |
| dc.date.issued | 2024-08-30 | |
| dc.identifier.issn | 2052-4463 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/202474 | |
| dc.description.abstractEn | 3D-ARM-Gaze is a public dataset designed to provide natural arm movements together with visual and gaze information when reaching objects in a wide reachable space from a precisely controlled, comfortably seated posture. Participants were involved in picking and placing objects in various positions and orientations in a virtual environment, whereby a specific procedure maximized the workspace explored while ensuring a consistent seated posture by guiding participants to a predetermined neutral posture via visual feedback from the trunk and shoulders. These experimental settings enabled to capture natural arm movements with high median success rates (>98% objects reached) and minimal compensatory movements. The dataset regroups more than 2.5 million samples recorded from 20 healthy participants performing 14 000 single pick-and-place movements (700 per participant). While initially designed to explore novel prosthesis control strategies based on natural eye-hand and arm coordination, this dataset will also be useful to researchers interested in core sensorimotor control, humanoid robotics, human-robot interactions, as well as for the development and testing of associated solutions in gaze-guided computer vision. | |
| dc.description.sponsorship | Contrôle intuitif d'une prosthèse de poignet à base de mouvement naturel et d'information visuelle - ANR-23-CE19-0031 | en_US |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject.en | Arm | |
| dc.subject.en | Fixation | |
| dc.subject.en | Movement | |
| dc.subject.en | Virtual Reality | |
| dc.title.en | 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality | |
| dc.title.alternative | Sci Data | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1038/s41597-024-03765-4 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC] | en_US |
| dc.identifier.pubmed | 39214999 | en_US |
| bordeaux.journal | Scientific Data | en_US |
| bordeaux.volume | 11 | en_US |
| bordeaux.hal.laboratories | Institut de neurosciences cognitives et intégratives d'Aquitaine (INCIA) - UMR 5287 | en_US |
| bordeaux.issue | 1 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | CNRS | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.identifier.funderID | Direction Générale de l’Armement | en_US |
| bordeaux.import.source | hal | |
| hal.identifier | hal-04684166 | |
| hal.version | 1 | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | false | |
| workflow.import.source | hal | |
| dc.rights.cc | CC BY-NC-ND | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Scientific%20Data&rft.date=2024-08-30&rft.volume=11&rft.issue=1&rft.eissn=2052-4463&rft.issn=2052-4463&rft.au=LENTO,%20Bianca&SEGAS,%20Effie&LECONTE,%20Vincent&DOAT,%20Emilie&DANION,%20Frederic&rft.genre=article |
