Brain Computer Interface is a fastest growing emerging technology, in which researchers aim to build a direct channel between the human brain and the computer. Direct communication pathway between an enhanced or wired brain and an external device. According to the statistics of the Ministry of Statistics and Programme Implementation in 2016, In India out of the 121 Crore population, 2.68 Crore persons are 'disabled' which is 2.21% of the total population which is more than the entire population of Australia. Most of the productive youngsters and young generation are mainly affected by this problem. People who are using wheelchair require secondary assistance to carry out their basic and daily activities, this greatly reduces their self esteem and will power. Our product solution gives high benefit on the low-cost handicapped wheelchair. Mostly, It will enables the youngsters/others to make work on their own without dependency.

1. Brain Frequency Based
Handicap Wheelchair
Team Members
▪ Dhanuaravinth K – Team Lead – 18bee080@mcet.in - EEE
▪ Vishnu Raj R – 18bee087@mcet.in - EEE
▪ Padmanaban V K – 18bee078@mcet.in - EEE
▪ Karthik V – 18bee012@mcet.in - EEE
▪ Dr. K. Umamaheswari – Mentor
Umamaheswari@drmcet.ac.in - EEE

2. Introduction
Brain Computer Interface is a
fastest growing emerging
technology, in which
researchers aim to build a direct
channel between the human
brain and the computer
2
Brain Frequency Based Handicap Wheelchair

3. Brain Computer Interface
• Direct communication pathway between an
enhanced or wired brain and an external
device
Brain Frequency Based Handicap Wheelchair
3

4. Statistics of World
Brain Frequency Based Handicap Wheelchair
4
• According to the statistics of the World
Health Organization in 2011, About 15%(1
billion) of the world's population lives with
some form of disability, of whom 2-4%
experience significant difficulties in
functioning.

5. Statistics of India
Brain Frequency Based Handicap Wheelchair
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• According to the statistics of the Ministry of
Statistics and Programme Implementation
in 2016, In India out of the 121 Crore
population, 2.68 Crore persons are 'disabled'
which is 2.21% of the total population which
is more than the entire population of
Australia.

6. Category wise disabled persons (%) in
India – Census 2011
6 Brain Frequency Based Handicap Wheelchair
Among the disabled persons, most of them are in the category of Movement disability
Need for System:

7. Region wise Statistics of Disabled People by
MOSPI sector graph
1.98
1.92
2.2
2.01
2.37
2.18
2.68
2.41
2.18
2.05
2.45
2.21
0 0.5 1 1.5 2 2.5 3
Other than SC/ ST
ST
SC
Total
Persons Males Females
7 Brain Frequency Based Handicap Wheelchair
Source : Ministry of Statistics and Programme Implementation, 2011

8. Age wise statistics of Disabled population
Brain Frequency Based Handicap Wheelchair
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Among the disabled persons, most of them are Youngsters (Active persons)

9. Problem Statement
Brain Frequency Based Handicap Wheelchair
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• Most of the productive youngsters and young
generation are mainly affected by this
problem
• People who are using wheelchair require
secondary assistance to carry out their basic
and daily activities, this greatly reduces their
self esteem and will power

10. Proposed Solution
Brain Frequency Based Handicap Wheelchair
10
• Our product solution gives high benefit on the
low-cost handicapped wheelchair
• Mostly, It will enables the youngsters/others
to make work on their own without
dependency

11. “
System Design -Flow Diagram

12. “
Flow Diagram
• Signal Acquisition
First thing we need is some raw EEG
data to process. This data is usually not
clean so some preprocessing steps are
needed
• Signal Preprocessing
The application of filters are applied,
such as a high-pass filter and low pass filter

13. “
Flow Diagram
• Feature Extraction
We can apply complex automatic
processing algorithms that allow us to
extract ‘hidden’ information from EEG
signals.
• Signals Classification
For instance, all brain-computer
interface systems follow this common
scheme, in which the classification step
is performed in order to decide what the
user is thinking.

14. “
Flow Diagram
• Control Actions
According to our output algorithm
the control of our wheelchair is achieved
• Output(Wheelchair Motor)
Finally the EEG taught for
directions of wheelchair is precisely
controlled with sensor braking system

15. “
Flow Diagram

16. Preprocessing Tool
Brain Frequency Based Handicap Wheelchair
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• EEGLAB provides an interactive graphic
user interface (GUI) allowing users to
flexibly and interactively process their high-
density EEG and other dynamic brain data
using independent component analysis (ICA)
and/or time/frequency analysis (TFA), as
well as standard averaging methods.

17. Business Forecast
Brain Frequency Based Handicap Wheelchair
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• The Global Electric Wheelchair Market was
valued at
• US$ 2.9 Billion in 2021, and is expected US$
4.9 Billion in 2028 from reports for a witness.
• Compound Annual Growth Rate (CAGR) of
8.0% during the forecast period (2021 –
2028).
• Reference -
https://www.grandviewresearch.com/industry-
analysis/wheelchair-market

18. Demo photograph of Prototype
Brain Frequency Based Handicap Wheelchair
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▪ Software: MATLAB - EEGLAB
▪ Hardware: Wheelchair
▪ Processor – Raspberry pi

19. Brain Frequency Based Handicap Wheelchair
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Photographs of Prototype

20. “ 10%
40%
20%
30%
Torque
Braking
Turning Stability
Speed
User Feedback – Need for Renovation

21. “ 36%
9%
55%
Good
Poor
Need
Improvement
Speed Braking
Torque Turning Stability
30%
10%
60%
Good
Poor
Need
Improvement
50%
10%
40%
Good
Poor
Need
Improvement
30%
40%
30%
Good
Poor
Need
Improvement

22. “
• We have recorded and analyzed various command
wave signals.
• Mini robot project have been designed and executed
various movements.
Implemented pilot project along with
user feedback.

23. “
• Majority of the disabled youngsters are able to
revive their goal and lead to a self-sustained life
• It will promote employment and entrepreneurship
among disabled persons
• The sizable contribution in enhancing the Gross
Domestic Income(GDI) is expected or can be
realized
Impact of the proposed solution

24. “
• Our product could be outreached to rural areas
through village panchayat and government health
clinics
• By negotiating with the regional government, we
could provide the wheelchair to poor and
unemployed through the ADIP Scheme
Financial implication for the village

25. Technology
Brain Frequency Based Handicap Wheelchair
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• Internet of Things(IoT) Enables the
user to control and check the required
conditions in passive mode.
• User can use the database to store the
study analysis

26. Financial Implementation Plan
Brain Frequency Based Handicap Wheelchair
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• It is Estimated final product costs
around Rs.50,000 to Rs.70,000.
• Prototype cost around Rs.15,000

27. Financial Implementation Plan
Brain Frequency Based Handicap Wheelchair
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Components Cost Reference
1) MindWave Mobile 2:
Brainwave Starter Kit
Rs. 8,018 $ 110 https://store.neurosky.com/
2) Wheelchair Rs. 21,000 $ 286 https://www.amazon.in/KosmoCar
e-Recliner-Reclining-Wheelchair-
Aluminium/dp/B00HYABUYE
3) Sensors Rs. 5,000 $ 68
4) Motors with battery Rs. 31,000 $ 422
5) Mechanical Accessories Rs . 5,000 $ 68
Total approx.
Rs. 70,018
approx. $ 954

28. Implementation Plan Timeline
Q1. 1 Month
Related Literature
survey
Q2. 3 Months
Finalization of
architecture and system
design
Q3. 1 Month
Testing
Q4. 12 Months
Next to Outreach plan
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29. Outreach Plan Timeline
Q1. 1-2 Months
Business Pattern
Q2. 3-4 Months
Approval, Authorization and
Installation of Business
Q3. 5-6 Months
Advertising – Digital
Marketing , Village
campaigns, primary health
centers
Q4. 5-6 Months
Retail and wholesale –
Retail using Digital
platforms and Whole sales
using traditional marketing
29 Brain Frequency Based Handicap Wheelchair

30. “
• By collaborating with medical institutes, we can
provided our Brain Interface wheelchairs to
person in recreation
• Collaborating with Insurance companies and
offering this wheelchair at the time of accidents
and health risks
• We can collaborate with defense and research
organization, to make the wheelchairs free for
injured war soldiers to enhance their quality of
life
Implementation and outreach plan

31. Business & Employee Goals
Business priorities
▪ Increase customer satisfaction
▪ Maintain growth
▪ Diversify investment
▪ Initiative partnership with 3rd party organizations
Employee opportunities
▪ Multi-disciplinary employment
▪ Worker can Improve their skillsets
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32. Brain Frequency Based Handicap Wheelchair
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Teams details with Photographs
Padmanaban V K
+91 99651 92990
Karthik V
+91 98426 20775
Vishnu Raj R
+91 82203 96913
Dr. K. Umamaheswari
Mentor
+91 99428 32789
Dhanuaravinth K
Team Lead
+91 9751610430

33. Summary
Our business is good
High level Profit
We’re getting our work done
We finished the consolidation project
Our customers relationship
We increased customer retention
33 Brain Frequency Based Handicap Wheelchair

34. Thank you
Thanks to your commitment and strong work ethic, we
know next year will be even better than the last.
We look forward to working together.
Team Lead
18bee080@mcet.in