Brain Computer Interface. Research and Innovation Project

Brain Computer Interface

Inspired BY

Team Member● DAS Chandrika [Project Lead]● KUMAR Jeevan [Analysis and Developer]● BHATTARAI Anjan [Designer and Developer]● SHARMA Ambedkar [Security Expert]

Project MentorProfessor Bonnet

Inspired BY

BCI - EPITA | 2015

Agenda

• Problem Statement• Research• Introduction: BCI• Project Introduction• Project Management• Description on the Project Phases• Target Users• Future aspects• DEMO

BCI - EPITA | 2015

Problem Statement

• Difficulty in having a concrete feedback from customers in predictive market analysis

• Inability of the disabled people in operating devices or communicating from distance such as Operating Fans, swapping cards,etc

• Inability of the product based companies such as perfume companies in achieving the expectation of the customers in having a desired product.

BCI - EPITA | 2015

Research

• Feedback of a product varies from country,person,age,sex and region.• Companies try to push their product across various region and want to

customize their products according to customer interests and needs.• A brand enters into a market and makes less profit due to lack of feedback and

information• We found out that if we can get a biofeed back of a brand product we can tweak

a product and customize it according to region ,interest,various age groups and keeping cultural aspects as well.

BCI - EPITA | 2015

BCI Introduction

• Direct communication pathway between the brain and an external device

• Enables signals from the brain to direct some external activity

• Can be used for communication, computer access, or control of devices such as a wheelchair or prosthetic arm, among other applications.

BCI - EPITA | 2015

BCI basic flow diagram

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BCI Users

• Normal and disabled People• Product based companies who can

use the software to have a market study on the customer behaviour on a product

• Paralytic patients• Neuroprosthetics, neurogaming,

neuroanalysis• Defense

BCI - EPITA | 2015

BCI and Neurofeedback Features

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BCI and Neurofeedback Benefits

• Help product based/ business /defence/medical oriented companies in knowing the experience of the customers who are reluctant to give the feedback automatically.

• Coming with a strong market/business strategy using the BCI data for predictive analysis

BCI - EPITA | 2015

Target Users

• Small and Medium Enterprises and product based companies

• Hospitals and medicals• Business and Market Analysts• Gaming Companies

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Marketing Strategy

• Growing sales force and channel partners• Verticalized direct sales force with subject matter expertise• Partner Strategy broadens market coverage

• Implementation of flexible business plan• Perpetual , software-as-a-service, managed services• Business model reflects customer preferences

• Enterprise, typical software• Security, prefer turnkey solutions

BCI - EPITA | 2015

Challenges Faced in Implementation

Risks Faced:-

Unavailability of the BCI device to test the brain signals captured.

Alternative Solution:-

Successful simulation of the brain signal and integration into the OpenVibe to continue the project.

BCI - EPITA | 2015

Project Management

• Software Development Plan

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Trello Project Management Tool

Project Management

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Project Status Report

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Project Phases

• Design and Analysis• Design and Approach• Testing of the signal• Development• Closure

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Tools andSoftware Used

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OpenVibe

● software platform ● designing, testing and using brain-

computer interfaces. ● package includes a Designer tool to

create and run custom applications● along with several pre-configured

and demo programs which are ready for use.

BCI - EPITA | 2015

Phase 1 – Design and Analysis

BCI - EPITA | 2015

Phase 1 – Design and Analysis

Acquire processed signals• using the generic stream reader to read

the raw signals recorded in a .ov file • The ov file is a standard EEG signal

recorded using electrode standard set of coordinates from openvibe

• The signal is raw and have chunks of data

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Phase 1-Design and workflow

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Phase 1 – Design and Analysis

Temporal filter• The user can choose among a variety of filter types to process the signal.• This plugin allows the selection of the kind of filter (low pass, high pass,

bandpass, band stop), the low or/and the high passband edge and the passband ripple.

Channel reference Localisation• A specific set of channels are processed and displayed after it's filtered • In this scenario we have selected the reference channel based on the index

(channel no.2)

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Phase 2 – Testing of the signals

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Phase 3 – Development Amplifying the signal• This plugin uses a mathematical formulae to each sample of an incoming signal

and output the resulting signal.• In the present scenario we have used x*x to amplifying the signal and a log

(1+x).Electrode Localisation Reader• This plugin loads files holding the normalized coordinates of an electrode set.

Display of signals in 2d and 3d Topography• The 3D & 2D topographic map uses the same visualisation paradigm which

consists in interpolating potentials at the surface of the scalp, converting them to colors using a color scale and mapping them over the surface of the scalp.

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Phase 3 - Development

Xml to Java • using java and the built in functions we were able to extract data using tag

element names and parse it to a normal text file. • converting the hexadecimal values into decimal and string values

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Phase 3 - Development

Problem

❏ MITM can get a copy of message m❏ MITM can modify the message m to m’

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•ENCRYPTION:

•USE OF AES 256 bit

•Same Key to be used for Encryption and Decryption

•High speed and low RAM requirements

Phase 3 - Development

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Phase 4 - Closure

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Current Limitation

• Console Application• Import/Export not possible• Have to do Manual Operation• Still some noise in XML Generation

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Next Update

• Web Interface• Automated System• Easy Interface• Import/Export data• Analyse• Secure Data

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Future Enhancements

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Future Enhancements

● Use a device similar to Google Glass ,Include a BCI device within it

● Use a BCI bar code reader in a product ● When BCI bar code reader is read by a google

glass device activate the BCI interface in the device and record and process the signal on a server level.

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Conclusion

This is not the END.

This is Just the Beginning.

“ FREE YOUR MIND “

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Thank You

Inspired BY