Evolution of Brain-Computer Interfaces: The future of Neuro-Headsets and concepts towards open-source, high-quality devices as an alternative to commercial products

Presented at 32C3 (2015), Dec. 28, 2015, 4 p.m. (30 minutes).

This talk is a brief recap into EEG / BCI for hackers, makers, researchers, and artists. It will give an overview of current consumer devices and their flaws, and subquently present fully open-source, high-quality hardware and software. Finally implications for the future of modern society are outlined, especially how commercial EEG consumer devices or services may be exploited by corporations to cloudsource market research, or spy on health conditions, brain states or even leak private information. Strategies to circumvent these risks and secure brain wave experience are being discussed.

In the recent years, affordable Brain-Computer Interfaces are becoming more accessible for consumers. Applications range from controlling computers / machines, biofeedback and Quantified Self. At first sight, the current generation of commercial devices seem to be decent in their functionality, and various use cases are suggested. However, neurophysiological signal quality, as well as limitations of software and hardware hackability are among the greatest issues and hurdles towards advancement in user experience.

This talk is a brief recap into EEG / BCI for hackers, makers, researchers, and artists. It will give an overview of current consumer devices and their flaws, and subquently present fully open-source, high-quality hardware and software. Finally implications for the future of modern society are outlined, especially how commercial EEG consumer devices or services may be exploited by corporations to cloudsource market research, or spy on health conditions, brain states or even leak private information. Strategies to circumvent these risks and secure brain wave experience are being discussed.

This talk can be seen as a sequel to last year's talk by MeTaMiNd EvoLuTioN and will also deal with further proceedings in open-source neurotech.


Presenters:

  • fractalfox
    -born 1984 in Mülheim/Ruhr -studied computer science at Uni Bielefeld and HTW Berlin -did research in neuroscience, working on EEG classification and neurofeedback software -working on software for non-invasive, computer vision-based wildlife identification

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