evolution of consumer brain-computer interfaces

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Transcription:

evolution of consumer brain-computer interfaces towards open-source, high-quality devices as an alternative to commercial products fractalfox / willi döring

evolution of BCIs 2

agenda basics EEG / BCI / neurofeedback challenges, chances and risks consumer devices overview progress DIY / open-source security 3

evolution of consumer brain-computer interfaces basics (eeg & bci) fractalfox / willi döring

basics EEG electroencephalography non-invasive method to measure brain waves first detected in humans in 1924 (Berger et al. 1929) 5

basics EEG 10-20 electrode positions raw data frequencies 6

basics EEG delta 0.5-4 Hz deep sleep theta unmix signals spatially frequency 4-8 Hz sleep / hypnagogia alpha 8-15 Hz relaxed / inner focus beta 15-40 Hz awake / focus gamma 40-100 Hz heightened perception 7

basics BCI Brain-Computer Interfaces control devices by thought active directly controlled by the user reactive in reaction to external stimuli passive enhance user experience (Zander et. al, 2010) 8

basics BCI user feedback electrodes amplifier ML / interpreter filter feature extraction ad-converter preprocessing 9

basics EEG / BCI 10

basics BCI applications spell computers exoskeletons prosthetics p300 11

basics neurofeedback presenting interpreted EEG data back to its user operant conditioning typically used to treat seizures (Sterman et. al 2005) anxiety disorders / stress (Hammond et. al 2005) audio feedback loop autism (Jarusiewicz et. al 2002) ADD (Arns et. al 2009) 12

EEG / BCI non-clinical applications art installations interactive audio-visual feedback collective neurofeedback (Kovacevic et al., 2015) neurogaming gamification of neurofeedback (Berka et al., 2010) 13

EEG / BCI non-clinical applications combine with tdcs / tacs extreme caution is advised (Davis 2014) 14

BCI methods overview method P300 / P3a / P3b (Polich et. al, 2007) SSVEP (Jeffreys et. al, 1972) SCP (Elbert et. al, 1980) SMR / motor imagery (Pfurtscheller et. al, 2006) learning locations choices bci type no occipital, parietal many reactive no occipital many reactive weeks parietal 1-2 active frontal 2, more with training active hours weeks 15

evolution of consumer brain-computer interfaces consumer devices fractalfox / willi döring

consumer BCIs criteria cost specificity & reliability / robustness signal to noise ratio electrodes hardware & software DOF / hackability exchange parts, electrodes raw data access ergonomics product safety & security 17

consumer BCIs overview device channels hackability cost NeuroSky MindWave 1 Hardware DIY guide $79.99 Emotiv Epoc / Epoc+ 14 - guide to build cap - emokit raw data hack $399 - $499 + $300 for SDK Emotiv Insight 5 tbd $358,95 $658,95 for SDK Interaxon Muse 4 SDK $299 Melon not publishing a data sheet yet ;-( $99 sources: neurosky.com ; emotiv.com ; choosemuse.com ; melon kickstarter // dec 2015 18

consumer BCIs progress dry electrodes high impedance, sensitive montage more efficient and accurate algorithms temporal, spatial filters machine learning but good signal quality remains essential! 19

evolution of consumer brain-computer interfaces open-source / DIY fractalfox / willi döring

open-source BCIs amplifier / adc overview Brain-Duino v 0.3 24 bit Brain-Duino v 0.2 2011 Maker's DIY 28c3 CCC edition ( source: open-bci.org dec/2015 ) 21

open-source BCIs amplifier / adc overview project / device electrodes cost µc / adc openeeg / SF modulareeg tutorial 2-6 $200-400 ATMega8 olimex openeeg EEG SMT 5 (active) 99 ATMega16 openbci.com kit / addon / ganglion 8 16 4 $499.99 $899.99 $99.99 PIC32MX250F128B / TI ADS1299 open-bci.org / psychiclab.net brain-duino 2 (stackable, active) $150 / $299 arduino uno, teensy / analog devices AD7173 sources: openeeg.sourceforge.net ; openbci.com ; open-bci.org ; psychiclab.net // dec 2015 22

consumer BCIs electrodes material: silver, gold, tin types: passive, active (/w amplifier) dry pins, discs, bendable wet / gel disposable, cup ( source: openeeg.sourceforge.net dec/2015 ) ( source: open-bci.org dec/2015 ) 23

open-source / DIY software OpenVibe for linux / win / osx BrainBay for win Neuromore for linux / osx 24

evolution of consumer brain-computer interfaces privacy issues fractalfox / willi döring

consumer BCIs privacy issues source: http://www.welivesecurity.com/2014/03/14/brainwave-privacy-standard-is-needed-to-prevent-spying-on-eeg-scan-data-researchers-warn/ / dec 2015 source: www.theregister.co.uk/2014/03/14/boffins_propose_brainwave_privacy_standard / dec 2015 26

consumer BCIs privacy issues leaking sensitive user information health conditions / cognitive performance comparison to normative databases / qeeg, P300 et al. 2009) PIN-codes, month of birth, locations, known people P300 (Martinovic et al. 2012) 27

consumer BCIs privacy issues 28

consumer BCIs countermeasures? privacy standard is needed ideas for communication protocols raw data encryption offline pre-processing of raw data openpds? 29

call for participation! discuss, try out, test, develop 30

Brainduino future thank you for listening! 31

sources Nicolas-Alonso, Luis Fernando, and Jaime Gomez-Gil. "Brain computer interfaces, a review." Sensors 12.2 (2012): 1211-1279. Tan, Gabriel, et al. "Meta-analysis of EEG biofeedback in treating epilepsy." Clinical EEG and Neuroscience 40.3 (2009): 173-179. Arns, Martijn, et al. "Efficacy of neurofeedback treatment in ADHD: the effects on inattention, impulsivity and hyperactivity: a meta-analysis." Clinical EEG and neuroscience 40.3 (2009): 180-189. Popescu, Florin, et al. "Single trial classification of motor imagination using 6 dry EEG electrodes." PloS one 2.7 (2007): e637. Kovacevic N, Ritter P, Tays W, Moreno S, McIntosh AR My Virtual Dream : Collective Neurofeedback in an Immersive Art Environment. PLoS ONE (2015): e0130129. Zander, Thorsten O., et al. "Enhancing human-computer interaction with input from active and passive brain-computer interfaces." Brain-computer interfaces. Springer London, 2010. 181-199. Kaplan, Alexander, et al. "Adapting the P300-based brain computer interface for gaming: a review." Computational Intelligence and AI in Games, IEEE Transactions on 5.2 (2013): 141-149. Elbert, Thomas, et al. "Biofeedback of slow cortical potentials. I." Electroencephalography and Clinical Neurophysiology 48.3 (1980): 293-301. Jeffreys, D. A., and J. G. Axford. "Source locations of pattern-specific components of human visual evoked potentials. I. Component of striate cortical origin." Experimental Brain Research 16.1 (1972): 1-21. Polich, John. "Updating P300: an integrative theory of P3a and P3b." Clinical neurophysiology 118.10 (2007): 2128-2148. Pfurtscheller, G., et al. "Mu rhythm (de) synchronization and EEG single-trial classification of different motor imagery tasks." Neuroimage 31.1 (2006): 153-159. Berka, Chris, et al. "Neurogaming: Merging Cognitive Neuroscience & Virtual Simulation in an Interactive Training Platform." Advances in Understanding Human Performance: Neuroergonomics, Human Factors Design, and Special Populations (2010): 313. Stopczynski, Arkadiusz, et al. "Privacy for Personal Neuroinformatics." Available at SSRN 2427564 (2014). Davis, Nick J. "Transcranial stimulation of the developing brain: a plea for extreme caution." Frontiers in human neuroscience 8 (2014). Jarusiewicz, Betty. "Efficacy of neurofeedback for children in the autistic spectrum: A pilot study." Journal of Neurotherapy 6.4 (2002): 39-49. Hammond, D. Corydon. "Neurofeedback treatment of depression and anxiety." Journal of Adult Development 12.2-3 (2005): 131-137. Sterman, M. Barry, and Tobias Egner. "Foundation and practice of neurofeedback for the treatment of epilepsy." Applied psychophysiology and biofeedback 31.1 (2006): 21-35. 32