Brain-Computer Natural-Language Interface - PowerPoint PPT Presentation

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Brain-Computer Natural-Language Interface

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Title: Brain-Computer Natural-Language Interface


1
Brain-Computer Natural-Language Interface
  • What is it? An interface between the brain and a
    computer that enables natural language
    communication within the brain to be translated
    to external format a computer can understand.
    Ie, think it and a computer reads it
  • Motivation help people with severe neuromuscular
    disability, the ultimate means of interaction
    with any technology without verbal speech or
    typing. It's mind reading!

2
Related BCI Research
  • Reading thoughts with EEG Abject Failure,
    Fujimaki 1990
  • Duke
  • Graz Brain-Computer Interface uses

3
Modern Brain-Computer Interfaces
4
Neuromuscular Techniques to Read Language from
the Brain
  • The twist use neuromuscular readings of the
    -motor- regions associated with speech in lieu of
    reading the thoughts themselves
  • Obtain this information in real-time through use
    of brain imaging
  • Use a pseudo-language Graz-style if necessary
    project still has other twists which make it
    worthwhile
  • Use a neuroelectric implant if sufficient
    resolution cannot be obtained with brain-imaging

5
Language of Choice
  • Since muscular motions of the lips will require
    extremely high resolution to distinguish, use a
    different means of communication
  • Sign language has broad, distinct muscle activity
  • Limit our language to a small set of words in a
    particular type of language (ALS, TLS, ULS)
  • Identical neurolinguistic activity as verbal
    language
  • Proof-of-concept for more refined study
  • Or, perhaps it'd be useful in itself.

6
Interpretation of Brain Activity
  • With either brain imaging or direct neuronal
    activity, a calibration period will be needed to
    map neural motor activity to particular signs
  • The Duke monkey project mapped for 12 and 24
    months per monkey. Using the robust algorithms
    they generated, we'll map for much less.
  • Motor mapping software will have to be adapted
    from existing neuroanalysis libraries
  • Sign language output can be translated directly
    using existing algorithms and software into words
    (Su et al.)
  • The final output can be converted to audio or can
    be linked to control processes within a computer

7
Follow-up Studies
  • The most natural is to make a lipreader that
    translates muscle motion of the lips into
    thoughts
  • Such a product would be directly implementable as
    a commercial or medical product.
  • Other neurotechnology studies brain input
    devices
  • As technology grows more refined, skip the motor
    cortex altogether and access the premotor cortex.
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