Personal Shopping Assistance and Navigator System for Visually Impaired People

Abstract : In this paper, a personal assistant and navigator system for visually impaired people will be described. The showcase presented in-tends to demonstrate how partially sighted people could be aided by the technology in performing an ordinary activity, like going to a mall and moving inside it to find a specific product. We propose an Android ap-plication that integrates Pedestrian Dead Reckoning and Computer Vi-sion algorithms, using an off-the-shelf Smartphone connected to a Smart-watch. The detection, recognition and pose estimation of specific objects or features in the scene derive an estimate of user location with sub-meter accuracy when combined with a hardware-sensor pedometer. The pro-posed prototype interfaces with a user by means of Augmented Reality, exploring a variety of sensorial modalities other than just visual overlay, namely audio and haptic modalities, to create a seamless immersive user experience. The interface and interaction of the preliminary platform have been studied through specific evaluation methods. The feedback gathered will be taken into consideration to further improve the pro-posed system.
Type de document :
Communication dans un congrès
ACVR2014: Second Workshop on Assistive Computer Vision and Robotics, Sep 2014, Zurich, Switzerland. <http://www.ino.it/ACVR2014/>
Liste complète des métadonnées


https://hal.inria.fr/hal-01102707
Contributeur : Tyrex Equipe <>
Soumis le : mardi 13 janvier 2015 - 13:21:29
Dernière modification le : vendredi 24 avril 2015 - 01:13:12
Document(s) archivé(s) le : vendredi 11 septembre 2015 - 06:38:58

Fichier

PChippendale_PersonalShoppingA...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01102707, version 1

Collections

Citation

Paul Chippendale, Valeria Tomaselli, Viviana D'Alto, Giulio Urlini, Carla Maria Modena, et al.. Personal Shopping Assistance and Navigator System for Visually Impaired People. ACVR2014: Second Workshop on Assistive Computer Vision and Robotics, Sep 2014, Zurich, Switzerland. <http://www.ino.it/ACVR2014/>. <hal-01102707>

Partager

Métriques

Consultations de
la notice

613

Téléchargements du document

762