We are building EduLadder(ELADR) - Protocol

The Eladr Protocol is a decentralized, security and efficiency enhanced Web3 noSQL database powered by IPFS as the data storage layer https://ipfs.io/, and the Cardano block chain as the rewards token platform, https://cardano.org/. It provides a JSON based, IPFS layer 2 solution for data indexing and retrieval in an 'append only' file system built with open source Node.js API libraries.

The ELADR token was designed to incentivize and reward community members as a proof of contribution. Token holders are also granted access to EduLadder.com premium features as well as associated ELADR token enabled apps.


Real Problems! Real Experts!

Join Our Telegram Channel !

The Eduladder is a community of students, teachers, and programmers. We help you to solve your academic and programming questions fast.
In eduladder you can Ask,Answer,Listen,Earn and Download Questions and Question papers.
Watch related videos of your favorite subject.
Connect with students from different parts of the world.
Apply or Post Jobs, Courses ,Internships and Volunteering opportunity. For FREE
See Our team
Wondering how we keep quality?
Got unsolved questions? Ask Questions

You are here:Open notes-->Seminar-topics-and-ppt-for-engineering-->brain-computer-interface

brain computer interface

How to study this subject

A brain-computer interface uses electrophysiological signals to control remote devices. Most current BCIs are not invasive. They consist of electrodes applied to the scalp of an individual or worn in an electrode cap such as the one shown in 1-1 (Left). These electrodes pick up the brain’s electrical activity (at the microvolt level) and carry it into amplifiers such as the ones shown in 1-1 (Right). These amplifiers amplify the signal approximately ten thousand times and then pass the signal via an analog to digital converter to a computer for processing. The computer processes the EEG signal and uses it in order to accomplish tasks such as communication and environmental control. BCIs are slow in comparison with normal human actions, because of the complexity and noisiness of the signals used, as well as the time necessary to complete recognition and signal processing.

The phrase brain-computer interface (BCI) when taken literally means to interface an individual’s electrophysiological signals with a computer. A true BCI only uses signals from the brain and as such must treat eye and muscle movements as artifacts or noise. On the other hand, a system that uses eye, muscle, or other body potentials mixed with EEG signals, is a brain-body actuated system.

The BCI system uses oscillatory electroencephalogram (EEG) signals, recorded during specific mental activity, as input and provides a control option by its output. The obtained output signals are presently evaluated for different purposes, such as cursor control, selection of letters or words, or control of prosthesis. People who are paralyzed or have other severe movement disorders need alternative methods for communication and control. Currently available augmentative communication methods require some muscle control. Whether they use one muscle group to supply the function normally provided by another (e.g., use extraocular muscles to drive a speech synthesizer) .Thus, they may not be useful for those who are totally paralyzed (e.g., by amyotrophic lateral sclerosis (ALS) or brainstem stroke) or have other severe motor disabilities. These individuals need an alternative communication channel that does not depend on muscle control. The current and the most important application of a BCI is the restoration of communication channel for patients with locked-in-syndrome.

Official Notes

Add contents here

Notes from other sources

Brain-Computer Interface.zip

Model question papers

Add contents here

Previous year question papers

Add contents here

Useful links

Add contents here



You might like this video:Watch more here

Watch more videos from this user Here

Learn how to upload a video over here