Transcript [Minhao Dong]

NeuroPhone: Brain-Mobile Phone
Interface using a Wireless EEG
Headset
{
Andrew T. Campbell, Tanzeem Choudhury,
Shaohan Hu, Hong Lu, Matthew K.
Mukerjee∗, Mashfiqui Rabbi, and Rajeev D.
S. Raizada
Dartmouth College, Hanover, NH, USA
Motivation
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Control your mobile device without touching
or speaking
Make control easier in environment require less
movement or silence
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library
classroom
The narrow version for mobile device
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Control many device in a more effortless way
Determent human emotion for many purpose
The generalized version
Terminology
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Electroencephalography
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EEG
Device that recording electrical activity of brain
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P300 is a pattern of certain electrical brain
activity
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P300
It is usually happened when people try to
reacting to certain thing
Typical representation is the record of EEG have
a “delay” for 300 to 600 ms
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A way to generalize data, to figure out a
pattern. So that we can use the pattern to
determent or predict new situation
Machine Learning
Y = aX0 + bX1 + cX2
Classification Problem
Test Environment
iPhone
Emotiv EPOC EEG headset
Windows Laptop
Application
P300 Mode
P300 Mode
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Similar to P300 mode, but user must winking
their eyes
Wink mode
Result
P300 Mode
Winking Mode
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The application take very little resource
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Which means devices like smart phone could
totally hand the brain control system
An acceptable Accuracy
Shows
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Algorithm is not perfect yet
High battery consuming
EEG hardware not good enough
Limitations
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EEG
Expensive
Very little company working in this field
A lot of noise in the information
Too big
Too ugly
EEG
Conclusion
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It is a concept prove application
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It proved that brain control on mobile device can
be done
The compute unit is powerful enough already
The algorithm can be improve
EEG still need improve
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Question?
Thank you