Advanced hybrid tracking through neural network regression

M'Hamed Frad 1, 2 Hichem Maaref 1 Abdellatif Matibaa 2 Samir Otmane 1
1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 EuE Laboratory
Abstract : 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.
Keywords : Regression SPIDAR Hybrid tracking Neural Network Calibration
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Conference papers
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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⟩

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