An approach for measuring the human gesture learning ability in third-person view environment for motor rehabilitation - Archive ouverte HAL
Communication Dans Un Congrès Année : 2010

An approach for measuring the human gesture learning ability in third-person view environment for motor rehabilitation

Résumé

In this paper, we describe a novel and quantitative approach to assess the capability of performing training task in the third-person view virtual environment for motor rehabilitation. Our proposed approach is based on human gestures which are constructed from gesture-units according to levels of complexity. Experimented in a Cave Automatic Virtual Environment, human gestures are represented by a virtual human thus the training task of the subject is to memorize those gestures and then to reproduce them. Performance of executing this training task is measured by the similarity between the virtual human’s gesture and the subject one which is captured by an optical motion capture device. In practice, a combination of performance and the complexity of the gesture is carried out to evaluate the ability of learning the human gestures of the subject.
Fichier principal
Vignette du fichier
LE2I_WINVR_2010_NGUYEN.pdf (349.62 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01143495 , version 1 (22-08-2017)

Identifiants

Citer

Van-Hanh Nguyen, Frédéric Merienne, Jean-Luc Martinez, Thierry Pozzo. An approach for measuring the human gesture learning ability in third-person view environment for motor rehabilitation. ASME 2010 World Conference on Innovative Virtual Reality (WINVR 2010), May 2010, Ames, IA, United States. pp.69-76, ⟨10.1115/WINVR2010-3736⟩. ⟨hal-01143495⟩
116 Consultations
90 Téléchargements

Altmetric

Partager

More