2. INTRODUCTION
What is Brain Gate Technology?
Brain gate is a Neuroprosthetic
device that converts brain activity
into computer commands.
This system is designed to help those
who have lost control of their limbs,
or other bodily functions, such as patients
with Amyotropic lateral sclerosis (ALS) or
spinal cord injury.
3. HISTORY
Research on BCIs has been going on for more than 20
years, but from 2000s there has been a dramatic increase in
working experimental implants.
Brain Gate system was commercially developed by the
bio-tech company Cyberkinetics in conjunction with the
Department of Neuroscience at Brown University.
First of all it was implemented on rats then monkeys and
after no complication on human beings
4. UNDERLYING PRINCIPLE
The principle of brain gate
neural interface system is that
which intact with brain function,
neural signals generated are
interpreted by the systems and a
cursor is shown to the user on a
computer screen that provides an
alternate “Brain Gate pathway".
The user can use that cursor to
control the computer, just as a
mouse is used.
13. WORKING
A sensor is implanted on the brain, and electrodes are
hooked up to wires that travel to a pedestal on the scalp. From
there, a fiber optic cable carries the brain activity data to a
preprocessor ,then digitizer and then to a nearby computer.
17. PREPROCESSING
removing
unnecessary
frequency bands
averaging the current
brain activity level
transforming the
measured scalp
potentials to cortex
potentials
Denoising
Band Frequecny
[Hz]
Amplitude Location
Alpha
(_)
8-12 10 -150 Occipital/
Parietal
regions
µ-rhythm 9-11 varies Precentral
Postcentral
regions
Beta (_) 14 -30 25 typically
Frontal
regions
Theta (_) 4-7 varies varies
Delta (_) <3 varies varies
18. DETECTION
find out these mental tasks from the EEG signal
done in time-domain and in frequency-domain
digital signal processing for sampling
band pass filtering the signal
calculating these time or frequency domain features
then classifying them
algorithms include simple comparison of amplitudes, linear and
non-linear equations and artificial neural networks
19. CONTROL
Applying the will of the user to the used application
The user chooses an action
Feedback is provided to user by audio-visual means
21. BIO-FEEDBACK
Return of biological information to the source that created it
Source can understand it and have control over it
Usually provided visually
22.
23. BRAIN GATE RESEARCH IN ANIMALS
1. On Rat
At first, rats were
implanted with BCI
Signals recorded
from the cerebral
cortex of rat to operate
BCI to carry out the
movement.
24. BRAIN GATE RESEARCH IN ANIMALS
2. Monkey
Trained to reach and grasp objects on a
computer screen
learned to control Robotic arm
27. ADVANTAGES
Controlling remote devices
Making and receiving Telephone
calls
Accessing the Internet
Turn On or Off the lights
Control Robotic arm
Watch and control television
Use the PC
Locking or Unlocking doors
Motorized Wheelchair
29. FUTURE SCOPE
Researches are going on for brain-to-brain
communication
Memory Upload/Download
Dream Capture
Use of Microcontroller to improve its
performance and to reduce complexity
Smaller, wireless device
30. REFERENCES
1. Graun, Christian ; Gerken, Jens ; Jetter, Hans-Christian ; Kaonig,Werner ;
Reiterer, Harald: MedioVis - a User-Centred Library Metadata
Browser.In: ECDL 2005: Research and Advanced Technology for Digital
Libraries, Proceedingsof the 9th European Conference on Digital
Libraries, Springer Verlag, September 2005.
2. [Huffman 2008] Huffman, Scott: Search evaluation at Google.
Website.September2008
3. Vikrant Manocha(Department Of CSE, M.M.College Of
Engineering(Mullana)Ambala) International Journal of Engineering
Research and Applications (IJERA) ISSN: 2248-9622
4. Keshvi Chauvan(Department Of CSE, M.M.College Of
Engineering(Mullana)Ambala) International Journal of Engineering
Research and Applications (IJERA) ISSN: 2248-9622
5. Ankita Komawar, Asavari Dudhe, Gauri Ajmire, J.D.I.E.T. Yavatmal,
International Journal of Research In Science & Engineering e-ISSN:
2394-8299 p-ISSN: 2394-8280