neurophone : brain-mobile phone interface using a wireless eeg headset
Post on 25-Feb-2016
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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
Control your mobile device without touching or speaking
Make control easier in environment require less movement or silence
library classroom
The narrow version for mobile device
Control many device in a more effortless way
Determent human emotion for many purpose
The generalized version
Terminology
Electroencephalography Device that recording electrical activity of
brain
EEG
P300 is a pattern of certain electrical brain activity
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
P300
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
Similar to P300 mode, but user must winking their eyes
Wink mode
Result
P300 Mode
Winking Mode
The application take very little resource Which means devices like smart phone
could totally hand the brain control system
An acceptable Accuracy
Shows
Algorithm is not perfect yet High battery consuming EEG hardware not good enough
Limitations
Expensive Very little company working in this field A lot of noise in the information Too big Too ugly
EEG
EEG
Conclusion
It is a concept prove application 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
Question?
Thank you
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