With the growing dependence of mankind on the use of different electronic devices in day to day life, we want to have easy handling to these electronic devices and easiest one is the possible brain wave command to electronic devices without even to use of hands. Great advances have been achieved towards brain-computer interface (BCI) or controlling electronic devices with brain waves. Forget about keyboard, mouse, touch screens or even voice recognition: the real dream is thinking about what we want our electronic gadget to do. Imagine a future where we can move anything with just our mind. The idea of interfacing minds with machines has long captured the human imagination. Brainwaves are tiny electrical impulses released when a neuron fires in the brain. Brain-computer interface (BCI) technology works by monitoring these electrical impulses with a forehead sensor. The neural signals are input into our Think Gear chip, and interpreted with our patented Attention and Meditation algorithms. The measured electrical signals and calculated interpretations are then output as digital messages to the computer, toy, or mobile device, allowing you to see your brainwaves on the screen, or use your brainwaves to affect the device’s behavior. The four main types of brainwave patterns are delta, theta, alpha, and beta, and these can be detected and interpreted and signals sent wirelessly to devices to control them. The interface enables a direct communications pathway between the brain and the object to be controlled. BCIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions. BCI (brain–computer interface) has long been a favorite of sci-fi movies. A few paralyzed patients could soon be using a wireless brain-computer interface able to stream their thought commands as quickly as a home Internet connection
Hi guys this a PPT for brain gate technology which is a blooming technology in industry.Here i have explained what are req for presentation.Hope u enjoy and if u like my presentation please encourage me by fallowing,commenting and liking.If u need documentation part please comment below.
It is a mind-to-movement system that allows a quadriplegic man to control a computer using his thoughts.
The system is to help those who have lost control of their limbs, or other bodily functions such as patients with spinal cord injury to operate various gadgets such as TV, Computer, Lights, Fan etc.
It monitors brain activity in the patient and converts the intention of the user into computer commands
BrainGate is a brain implant system built and previously owned by Cyberkinetics, currently under development and in clinical trials, designed to help those who have lost control of their limbs, or other bodily functions, such as patients with amyotrophic lateral sclerosis (ALS) or spinal cord injury. The Braingate technology and related Cyberkinetic’s assets are now owned by privately held Braingate, The sensor, which is implanted into the brain, monitors brain activity in the patient and converts the intention of the user into computer commands..
Braingate is an electrode chip which can be implemented in the brain. When it is implemented in brain, the electrical signal exchanged by neurons within the brain. Those signals are sent to the brain and it executes body movement. All the signalling process is handled by special software. The signal sends to the computer and then the computer is controlled by patient.
Hi guys this a PPT for brain gate technology which is a blooming technology in industry.Here i have explained what are req for presentation.Hope u enjoy and if u like my presentation please encourage me by fallowing,commenting and liking.If u need documentation part please comment below.
It is a mind-to-movement system that allows a quadriplegic man to control a computer using his thoughts.
The system is to help those who have lost control of their limbs, or other bodily functions such as patients with spinal cord injury to operate various gadgets such as TV, Computer, Lights, Fan etc.
It monitors brain activity in the patient and converts the intention of the user into computer commands
BrainGate is a brain implant system built and previously owned by Cyberkinetics, currently under development and in clinical trials, designed to help those who have lost control of their limbs, or other bodily functions, such as patients with amyotrophic lateral sclerosis (ALS) or spinal cord injury. The Braingate technology and related Cyberkinetic’s assets are now owned by privately held Braingate, The sensor, which is implanted into the brain, monitors brain activity in the patient and converts the intention of the user into computer commands..
Braingate is an electrode chip which can be implemented in the brain. When it is implemented in brain, the electrical signal exchanged by neurons within the brain. Those signals are sent to the brain and it executes body movement. All the signalling process is handled by special software. The signal sends to the computer and then the computer is controlled by patient.
BRAIN GATE TECHNOLOGY is a boon for ppl met with accidents leading to spinal cord failure,,,,, THIS technology brings ray of hope and sunshine in their life
brain gate technology is an wonderful innovation and boon for ppl met with accidents specially SPINAL CORD FAILURE
this "TECHNOLOGY" serves as ray of hope and sunshine in their life
This power point presentation is about connecting the brain with an external device through which the parts lost by any injuries can be restored partially.
Embedded system projects for final year BangaloreAidell2583
Final Year Engineering Projects For ECE in Bangalore. Embedded Innovation Lab is the right place for best real time final year engineering projects. EIL is not a training institute its a embedded company.You can learn new ideas and insdustrial working experience. BE/B.Tech student projects in bangalore,mechanical final year project in bangalore
⭐⭐⭐⭐⭐ #BCI System using a Novel Processing Technique Based on Electrodes Sele...Victor Asanza
This work proposes an end-to-end model architecture, from feature extraction to classification using an Artificial Neural Network. The feature extraction process starts from an initial set of signals acquired by electrodes of a Brain-Computer Interface (BCI). The proposed architecture includes the design and implementation of a functional six Degree-of-Freedom (DOF) prosthetic hand. A Field Programmable Gate Array (FPGA) translates electroencephalography (EEG) signals into movements in the prosthesis. We also propose a new technique for selecting and grouping electrodes, which is related to the motor intentions of the subject. We analyzed and predicted two imaginary motor-intention tasks: opening and closing both fists and flexing and extending both feet. The model implemented with the proposed architecture showed an accuracy of 93.7% and a classification time of 8.8y«s for the FPGA. These results present the feasibility to carry out BCI using machine learning techniques implemented in a FPGA card.
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
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Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
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• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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BRAIN WAVE TECHNOLOGY - controlling electronic devices using brainwaves
1. A seminar on
“Controlling electronic devices using brainwaves”
SUPERVISED BY:
Ms B. Gowthami ,M-Tech.,
Assistant Professor
Dept. of ECE.
PRESENTED BY:
S.Lakshmi Teja
15121A04K4
IV- B-Tech
ECE-C Section
Department of Electronics and Communication Engineering
5. INTRODUCTION
• Brain is made up of billions of brain cells called neurons, which use electricity to
communicate with each other. The combination of millions of neurons sending
signals at once produces an enormous amount of electrical activity in the brain,
which can be detected using sensitive medical equipment (such as an EEG),
measuring electricity levels over areas of the scalp.
• The combination of electrical activity of the brain is commonly called a Brain
Wave pattern, because of its cyclic, "wave-like" nature.
8. METHODOLOGY
• The brain activity of the user is detected by electroencephalogram (EEG) headset.
• The headset has a single electrode with a ground and reference, the electrode situated
in the frontal position of the user’s scalp. This means that there are two metallic things
touching the head.
• The reference electrode goes on the left side of the fore head, measuring electrode to
the scalp, the ground clip is attached to the ear.
• The measuring electrode receives physiological signals along with noise, at the
forehead bone the reference electrode receives only noise.
• The differential amplifier present at the front end of the electrodes differentiates the
brainwaves from noise.
• The corresponding values are recorded by the electrode by detecting the electrical
activity of the brain at a rate of hundreds of samples per second.
9. METHODOLOGY
• Lab view software is used to examine this signal.
• Later by applying signal conditioning procedures different brain waves like alpha, beta,
gamma, theta and delta are acquired are analyzed by Lab view or MATLAB
application.
• Depending upon the attention, an appropriate algorithm(Fuzzy Logic) is applied for
distinguishing the commands and creates relating data signal.
• Signal shifting is done using Max 232 IC to interface with microcontroller.
• The controller recognizes these commands creates relating control signals, and sends it
to motor or any other circuitry.
13. FUNCTIONAL FLOW
• The Brain machine interface fetches the different brain signals that are responsible for the commands and
attention level of a person wearing the device.
• The signals that are obtained from BMI are processed with the help of Lab View, an appropriate
algorithm(Fuzzy Logic) is applied for distinguishing the commands and creates relating data signal
• From Lab View these data are converted into serial data and are given to the IC MAX232.
• This IC converts the serial data of +15V to -15V to 0V to 5V and this serial data is given to
microcontroller.
• This microcontroller gives the data to the encoder in a controlled manner for modulation. The encoder
encodes the data and performs amplitude modulation.
• This modulated data is given to the RF transmitter for transmitting. The RF receiver that lies within the
range. It can receive the modulated data and give this data to the decoder
14. FUNCTIONAL FLOW
• The decoder decodes the data.
• The current of the signal produced by these data is very low which cannot be
detected by the microcontroller. In order to avoid this, current buffer which
regulates the current and produce a standard 5V output is further given to the
microcontroller for processing.
• Based on the data, the program gives instruction for the movement of the motors.
• The output of the microcontroller is 5V which is insufficient to run a motor
effectively. This problem is rectified by using a motor driver.
• This motor driver amplifies the 5V signal to 12V signal. This 12V signals are given
to relay circuits.
• Each motor requires two relays which work in the format of logic gate. The output
of the relay is given to the motors and the motors runs according to the command
from the relay.
15. APPLICATIONS
• "Bionic" Limbs
• Drive a Wheelchair—And a Car
• Screen Mobile Phone Calls
• Control Mobile Games With Brain Waves
16.
17. ADVANTAGES
• It is also used to relax the mind
• BCI’s will help creating a direct communication pathway between a human or animal brain and any
external devices like computers
• Better living , More features ,More advancements in technologies etc.
19. CONCLUSION
This technology is sort of making disabled people physically courageous and
mentally strong enough to face and make their beautiful life even more
beautiful with their reborn artificial physical strength.
20. REFERENCES
[1] Christian I. Penaloza, Yasushi Mae, Francisco F. Cuellar, Masaru Kojima, Tatsuo Arai, "Brain
Machine Interface System Automation Considering User Preferences and Error Perception
Feedback", IEEE Transactions On Automation Science and Engineering, vol. 11, no. 4, October
2014.
[2]https://www.wikipedia.org
[3] http://www.brain-waves-technology.com/
[4] https://ieeexplore.ieee.org/Xplore/home.jsp
[5] https://github.com/MexsonFernandes/NeuroskyMindwaveMobile2