Ménélas Bob-Antoine-Jerry et Otis Martin J.-D.. (2014). Toward an automatic system for training balance control over different types of soil. Dans Minhua Ma, Lakhmi C. Jain et Paul Anderson (dir.), Virtual, augmented reality and serious games for healthcare 1. (68, p. 391-408). Intelligent systems reference library. Heidelberg, Germany : Springer.
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URL officielle: http://dx.doi.org/doi:10.1007/978-3-642-54816-1_20
Résumé
It is known that the type of the soil can affect balance. Here we report an automatic system having: a serious game, a physical setup and an intelligent clothe designed for training users at maintaining balance over five types of soil (broken stone, stone dust, sand, concrete and wood). By using an augmented shoe and proposed navigation metaphor, in this game, the user is invited to browse a maze while standing balance over the physical grounds. During the exploration, exercises that target assessment of balance control are suggested. To insure the effectiveness of this training program, as a first step, we have tested the proposed system with six healthy persons. Results indicate that the system can detect how the type of soil affects users balance. This opens a new avenue for more ecological, automatic and low cost personal rehabilitation systems.
Type de document: | Chapitre de livre |
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Date: | 2014 |
Lieu de publication: | Heidelberg, Germany |
Identifiant unique: | 10.1007/978-3-642-54816-1_20 |
Sujets: | Sciences naturelles et génie > Sciences mathématiques > Informatique Sciences de la santé > Sciences de l'activité physique et réadaptation > Orthophédie |
Département, module, service et unité de recherche: | Départements et modules > Département d'informatique et de mathématique |
Éditeurs: | Ma, Minhua Jain, Lakhmi C. Anderson, Paul |
Mots-clés: | virtual reality in medicine, augmented reality, therapeutic use, medical innovations, computer vision in medicine, computer simulation, health education, methods, video games, rheabilitation, virtual reality exposure therapy, informatique |
Déposé le: | 08 déc. 2020 20:55 |
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Dernière modification: | 18 juill. 2023 18:53 |
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