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Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2018

Towards BCI-based Interfaces for Augmented Reality: Feasibility, Design and Evaluation

Abstract

Brain-Computer Interfaces (BCIs) enable users to interact with computers without any dedicated movement, bringing newhands-free interaction paradigms. In this paper we study the combination of BCI and Augmented Reality (AR). We first tested thefeasibility of using BCI in AR settings based on Optical See-Through Head-Mounted Displays (OST-HMDs). Experimental results showedthat a BCI and an OST-HMD equipment (EEG headset and Hololens in our case) are well compatible and that small movements of thehead can be tolerated when using the BCI. Second, we introduced a design space for command display strategies based on BCI in AR,when exploiting a famous brain pattern called Steady-State Visually Evoked Potential (SSVEP). Our design space relies on fivedimensions concerning the visual layout of the BCI menu ; namely: orientation, frame-of-reference, anchorage, size and explicitness. Weimplemented various BCI-based display strategies and tested them within the context of mobile robot control in AR. Our findings werefinally integrated within an operational prototype based on a real mobile robot that is controlled in AR using a BCI and a HoloLensheadset. Taken together our results (4 user studies) and our methodology could pave the way to future interaction schemes in AugmentedReality exploiting 3D User Interfaces based on brain activity and BCIs.
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Dates and versions

hal-01947344 , version 1 (06-12-2018)

Identifiers

Cite

Hakim Si-Mohammed, Jimmy Petit, Camille Jeunet, Ferran Argelaguet Sanz, Fabien Spindler, et al.. Towards BCI-based Interfaces for Augmented Reality: Feasibility, Design and Evaluation. IEEE Transactions on Visualization and Computer Graphics, 2018, 26 (3), pp.1608-1621. ⟨10.1109/TVCG.2018.2873737⟩. ⟨hal-01947344⟩
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