Multimodal approach to estimate the ocular movements during EEG recordings: a coupled tensor factorization method

Bertrand Rivet (1) , Marc Duda (1) , Anne Guérin-Dugué (1) , Christian Jutten (1) , Pierre Comon (2)

1 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing
2 GIPSA-CICS - GIPSA - Communication Information and Complex Systems

This paper deals with coupled tensor factorization. A relaxed criterion derived from the advanced coupled matrix-tensor factorization (ACMTF) proposed by Acar et al. is described. The proposed relaxed ACMTF (RACMTF) criterion is based on weaker assumptions that are thus more often satisfied when dealing with actual data. Numerical simulations show the benefit of using jointly two data sets when the underlying factors are highly correlated, especially if one of the modality is less noisy than the other one. The proposed method is finally applied on actual Gaze&EEG data to estimate the ocular artifacts into the EEG recordings.

Domaines: Traitement du signal et de l'image [eess.SP]

Bertrand Rivet, Marc Duda, Anne Guérin-Dugué, Christian Jutten, Pierre Comon. Multimodal approach to estimate the ocular movements during EEG recordings: a coupled tensor factorization method. EMBC 2015 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2015, Milan, Italy. ⟨10.1109/EMBC.2015.7319999⟩. ⟨hal-01195942⟩