SSVEP-Based BCI in a Smart Home Scenario

Steady state visual evoked potentials (SSVEPs)-based Brain-Computer Interfaces (BCIs) can provide hand-free human interaction with the environment. In the presented study, visual stimuli were displayed on Epson Moverio BT-200 augmented reality glasses, which can be easily used in smart homes. QR codes were used to identify the devices to be controlled with the BCI. In order to simulate a real life scenario, participants were instructed to go out of the lab to get a coffee. During this task light switches, elevator and a coffee machine were controlled by focusing on SSVEP stimuli displayed on the smart glasses. An average accuracy of 85.70% was achieved, which suggests that augmented reality may be used together with SSVEP to control external devices.

[1]  Dezhong Yao,et al.  Stimulator selection in SSVEP-based BCI. , 2008, Medical engineering & physics.

[2]  Ivan Volosyak,et al.  Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces , 2007, IEEE Transactions on Biomedical Engineering.

[3]  Ivan Volosyak,et al.  SSVEP-based Bremen–BCI interface—boosting information transfer rates , 2011, Journal of neural engineering.

[4]  Wanderley Cardoso Celeste,et al.  Brain-computer Interface Based on Visual Evoked Potentials to Command Autonomous Robotic Wheelchair , 2010 .

[5]  T. Jung,et al.  Polychromatic SSVEP stimuli with subtle flickering adapted to brain-display interactions , 2017, Journal of neural engineering.

[6]  Nanoka Sumi,et al.  A novel face recognition for smart glasses , 2016, 2016 IEEE Region 10 Symposium (TENSYMP).

[7]  Brendan Z. Allison,et al.  How Many People Could Use an SSVEP BCI? , 2012, Front. Neurosci..

[8]  Piotr Stawicki,et al.  Autonomous Parameter Adjustment for SSVEP-Based BCIs with a Novel BCI Wizard , 2015, Front. Neurosci..

[9]  Yijun Wang,et al.  Visual and Auditory Brain–Computer Interfaces , 2014, IEEE Transactions on Biomedical Engineering.

[10]  Reza Fazel-Rezai,et al.  A Review of Hybrid Brain-Computer Interface Systems , 2013, Adv. Hum. Comput. Interact..

[11]  Erin P. Price,et al.  Variable Virulence Factors in Burkholderia pseudomallei (Melioidosis) Associated with Human Disease , 2014, PloS one.

[12]  Tomasz Kocejko,et al.  Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification , 2016, Int. J. Distributed Sens. Networks.

[13]  R. Malinow,et al.  Negative learning bias is associated with risk aversion in a genetic animal model of depression , 2014, Front. Hum. Neurosci..

[14]  Koji Tsuru,et al.  A New Stimulation for Steady-State Visually Evoked Potentials Based Brain-Computer Interface Using Semi-transmissive Patterns with Smartglasses , 2015, 2015 International Conference on Cyberworlds (CW).

[15]  Mo Li,et al.  Poster abstract: Emotion-driven lifelogging with wearables , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[16]  Sungho Jo,et al.  Hybrid-BCI smart glasses for controlling electrical devices , 2015, 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

[17]  Qi Dong,et al.  Resting-state functional connectivity and pitch identification ability in non-musicians , 2015, Front. Neurosci..

[18]  G. Appelboom,et al.  Clinical and surgical applications of smart glasses. , 2015, Technology and health care : official journal of the European Society for Engineering and Medicine.

[19]  John R. Smith,et al.  Steady-State VEP-Based Brain-Computer Interface Control in an Immersive 3D Gaming Environment , 2005, EURASIP J. Adv. Signal Process..

[20]  Piotr Stawicki,et al.  Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI , 2016, Comput. Intell. Neurosci..

[21]  Piotr Milanowski,et al.  Towards an Optimization of Stimulus Parameters for Brain-Computer Interfaces Based on Steady State Visual Evoked Potentials , 2014, PloS one.

[22]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[23]  Tzyy-Ping Jung,et al.  Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset , 2014, Front. Hum. Neurosci..

[24]  Brian R. Tietz,et al.  Deciding Which Way to Go: How Do Insects Alter Movements to Negotiate Barriers? , 2012, Front. Neurosci..

[25]  A Graser,et al.  BCI Demographics II: How Many (and What Kinds of) People Can Use a High-Frequency SSVEP BCI? , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.