Advanced hybrid tracking through neural network regression - Interactions, Réalité Augmentée, Robotique Ambiante Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Advanced hybrid tracking through neural network regression

Résumé

We present an optical-haptic tracking system suitable for augmented and virtual reality applications. The paper addresses tow issues of such system. The first one concerns the calibration method that can be used to calibrate the force feedback device: SPIDAR. The second contribution is about the development of a hybrid tracking system. The proposed hybridization aims to provide both accurate and interrupted position data.
Fichier principal
Vignette du fichier
frad2014.pdf (859.9 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01777621 , version 1 (18-07-2018)

Identifiants

Citer

M'Hamed Frad, Hichem Maaref, Abdellatif Matibaa, Samir Otmane. Advanced hybrid tracking through neural network regression. 2014 Information and Communication Technologies Innovation and Application (ICTIA 2014), Mar 2014, Sousse, Tunisia. ⟨10.1109/ICTIA.2014.7883766⟩. ⟨hal-01777621⟩
57 Consultations
97 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More