hacking brain computer interfaces

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Hacking Brain-Computer Interfaces SMSI talk by Mike Schäkermann Berlin - March 17, 2015

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HackingBrain-Computer Interfaces

SMSI talk by Mike SchäkermannBerlin - March 17, 2015

Overview

1. About BCIs

2. OpenBCI

3. Live Demo

Overview

1. About BCIs

2. OpenBCI

3. Live Demo

Brain-Computer Interfaces

A brain-computer interface is a directcommunication pathway between the

brain and an external device.

Brain Imaging Techniques

EEG

fMRI

NIRS

Invasive techniques

Brain Imaging Techniques

EEG

fMRI

NIRS

Invasive techniques

Pros and Cons of EEG

High temporal resolution

Level of insight

Sensitivity

Low spatial resolution

Discomfort

Sensitivity

EEG Data: (1/3) Presentation

Time domain plot

Frequency domain plot

Spectrogram

Head plot / topography

EEG Data: (1/3) Presentation

TIME DOMAIN PLOT

FREQUENCY DOMAIN PLOT

HEAD PLOT

EEG Data: (2/3) Preprocessing

Removal of noise / artifacts, caused by:

blinkslateral eye movementsmuscle activityhead/body movementelectrical currents (powerline interference)

EEG Data: (3/3) Analysis

GAMMA (> 31 Hz)

DETECTED OVER THE SOMATOSENSORY CORTEX

DURING CROSS-MODAL SENSORY PROCESSING

FREQUENCY ANALYSIS

EEG Data: (3/3) Analysis

BETA (15 - 31 Hz)

DETECTED SYMMETRICALLY IN FRONTAL REGIONS DURING

PHASES OF FOCUS AND CONCENTRATION

FREQUENCY ANALYSIS

EEG Data: (3/3) Analysis

ALPHA (8 - 15 Hz)

DETECTED IN POSTERIOR REGIONS DURING RELAXED

STATES AND WHILE EYES ARE CLOSED

FREQUENCY ANALYSIS

EEG Data: (3/3) Analysis

MU (8 - 12 Hz)

DETECTED OVER MOTOR CORTEX DURING IMAGINED

OR ACTUAL MOVEMENT

FREQUENCY ANALYSIS

EEG Data: (3/3) Analysis

THETA (4 - 7 Hz)

DETECTED DURING IDLING, RELAXED, MEDITATIVE AND

CREATIVE STATES

FREQUENCY ANALYSIS

EEG Data: (3/3) Analysis

DELTA (< 4 Hz)

DETECTED IN FRONTAL REGIONS DURING SLOW-

WAVE SLEEP + CONTINUOUS ATTENTION TASKS

FREQUENCY ANALYSIS

EEG Data: (3/3) AnalysisEVENT-RELATED

POTENTIALS (EX: P300)

EEG Data: (3/3) AnalysisEVENT-RELATED

POTENTIALS (EX: P300)

EEG Data: (3/3) AnalysisEVENT-RELATED

POTENTIALS (EX: P300)

Some fun examples

BrainBall: Relax to Win (1999)Based on alpha andtheta activation

BrainBall: Relax to Win (1999)Based on alpha andtheta activation

SharkAttack: mind-controlled shark (2015)Based on multiple people’s alpha activation

SharkAttack: mind-controlled shark (2015)

HexBug: mind-controlled robot (2015)

Based on alpha activation and visual entrainment

Necomimi: emotional cat ears

Overview

1. About BCIs

2. OpenBCI

3. Live Demo

Overview

1. About BCIs

2. OpenBCI

3. Live Demo

Open source hardware

Open source hardware

Open source software

Open source software

Open source software

Open source headware

Building a BCI community ...

Overview

1. About BCIs

2. OpenBCI

3. Live Demo

Live Demo

Alpha wave trigger for meditation music

EYES OPEN

PLAY ENERGETIC MUSIC

Alpha wave trigger for meditation music

EYES OPEN

PLAY ENERGETIC MUSIC EYES CLOSED

PLAY CALMING MUSIC

Alpha wave trigger for meditation musicFUTURE WORK:

GUARD BANDS

Alpha wave trigger for meditation musicFUTURE WORK:

GUARD BANDS

Thanks for your attention!Questions, please!

References & Further ReadingOpenBCI (http://openbci.com/):

Docs:

Tutorials: http://docs.openbci.com/tutorials/01-GettingStarted

Software: http://docs.openbci.com/software/01-OpenBCI_SDK

Hardware: http://docs.openbci.com/hardware/01-OpenBCI_Hardware

Blogs (http://openbci.com/community/):

Omphaloskeptic: http://www.autodidacts.io/

Chip Audette: http://eeghacker.blogspot.com/

Conor Russomanno: http://conorrussomanno.com/

Jeremy Frey: http://blog.jfrey.info/

GitHub: https://github.com/OpenBCI

References & Further ReadingAmbinder, Mike. 2011. Biofeedback in Gameplay: How Valve Measures Physiology to Enhance Gaming Experience. Presentation at Game Developers Conference (GDC) 2011. http://www.gdcvault.com/play/1014734/Biofeedback-in-Gameplay-How-Valve.

Cacioppo, John T., Louis G. Tassinary, and Gary Berntson. 2007. Handbook of Psychophysiology. Cambridge University Press. isbn: 9780521844710.

Hakvoort, Gido, Hayrettin Gurkok, Danny Plass-Oude Bos, Michel Obbink, and Mannes Poel. 2011. Measuring immersion and affect in a brain-computer interface game. In Proceedings of the 13th ifip tc 13 international conference on human-computer interaction - volume part i, 115–128. INTERACT’11. Berlin, Heidelberg: Springer-Verlag. isbn: 978-3-642-23773-7, http://dl.acm.org/citation.cfm?id=2042053.2042069.

Kivikangas, J. Matias, Inger Ekman, Guillaume Chanel, Simo Järvelä, Ben Cowley, Pentti Henttonen, and Niklas Ravaja. 2010. Review on psychophysiological methods in game research. In Proc. of 1st nordic digra, digra.

Luck, Stephen J. 2005. An introduction to the event-related potential technique. Cognitive neuroscience. MIT Press. isbn: 9780262621960.

References & Further ReadingMandryk, Regan. 2008. Physiological Measures for Game Evaluation. In Game usability:

advice from the experts for advancing the player experience.

Nacke, Lennart E. 2011. Directions in Physiological Game Evaluation and Interaction.

In chi 2011 bbi workshop proceedings.

———. 2013. An Introduction to Physiological Player Metrics for Evaluating Games. Chap. 26 in Game analytics: maximizing the value of player data, 585–620. London: Springer-Verlag. isbn: 978-1-4471-4768-8, doi:10.1007/978-1-4471-4769-5.

Nacke, Lennart E., Mark N. Grimshaw, and Craig A. Lindley. 2010. More Than a Feeling: Measurement of Sonic User Experience and Psychophysiology in a First-person Shooter Game. Interact. Comput. (New York, NY, USA) 22, no. 5 (Sept.): 336–343. issn: 0953-5438, doi:10.1016/j.intcom.2010.04.005, http://dx.doi.org/10. 1016/j.intcom.2010.04.005.

Wehbe, Rina R., Dennis L. Kappen, David. Rojas, Matthias. Klauser, Bill. Kapralos, and Lennart E. Nacke. 2013. EEG-based Assessment of Video and In-game Learning. In Chi ’13 extended abstracts on human factors in computing systems, 667–672. CHI EA ’13. New York, NY, USA: ACM. isbn: 978-1-4503-1952-2, doi:10.1145/2468356.2468474, http://doi.acm.org/10.1145/2468356.2468474.