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International Journal of Recent Technology and Engineering (IJRTE)
ISSN: 2277-3878, Volume-8, Issue-1, May 2019
Realtime Neural Interface Controlled Au-Pair
BIMA Bot
N.Kripa, R. Vasuki, R. Kishore Kanna
Abstract: This project describes about a brain controlled robot Brainsense EEG headband is a wireless module EEG
based on Bluetooth communication system. Brain Control electrode device [5]. It has a electrode to be placed on the
Interface is a frame work that can bypass all the conventional Pre-Frontal Fp1 area in the 10-20 system of scalp electrode
channels of communication which gives a direct correspondence location. It has a electrode to be clipped in ear as the
and control from the pattern of brain waves to the machine in
reference electrode.
external environment. Here a movable robot is been used which
is controlled by the EEG waves converting into commands for the
robot to be followed [1]. BIMA Robot is a self controlled Robot.
This work is developed for the disabled people, bed ridden, old
aged people to use in their daily lives. Human brain consists of
millions of interconnected neurons. The Brain waves are
acquired by wireless EEG sensor Brainsense with single
electrode. The head band is worn and raw EEG data is been
acquired for 100 people of various age groups for two times at
various times [2]. The eSense value is been calculated for each
person and this is given as the command for the BIMA bot. The
robot is fed with instructions and acts according to the commands
received through Bluetooth. The main advantage of this work is
it is of low cost compared to the wired many electrode devices
which is used in hospitals. And this is a user friendly device, Au-
pair is the person who goes for errands, and is portable and light Fig 2: 10-20 System of Scalp Electrode
weight for domestic use [3].
Keywords: Brain control interface, Bluetooth, BIMA Bot, One side of the headband pouch consists of AAA
Brainsense, eSense, Au-pair, Wireless. battery for power supply and the other side of the headband
pouch consists of TGAM Brainwave sensor. It is used to
I. INTRODUCTION convert the raw EEG data got from the brain into its
respective frequency spectrums. In other words the EEG
There are many electrical signals produced from our body.
waves cannot be understood by the Robot machine so
One such signal is the Electroencephalograph (EEG) [4]
inorder to that it converts into machine language of
which is taken from the brain as the summation of the
frequency data[12].
signals produced from the neurons. There are wired and
wireless EEG devices with few and many electrodes
III. ESENSE METER
depending on the need and usage of the brain waves it is
selected accordingly [7]. Here single electrode with wireless
The electrical activity of the brain which is
headband is been used to acquire the data. The BIMA bot is
recorded as the EEG waves consists of four different kinds
a manipulated robot which assists the people who is using it.
of waves depending on its frequency. From low to higher
frequency range it is Delta, Theta, Alpha and Beta [6].
II. BRAIN WAVE ACQUISTION
Different types of emotions like meditation, anger, sleep,
EEG Headband: happiness, alertness, attention etc, affect the EEG waves. So
according to the frequency the eSense meter value is from
scale of 1 to 100. The eSense values from 40 to 80 scale
indicates the normal to attentive and meditation level
usually indicates Alpha waves [13]. The eSense value of
scale between 80 to 100 are considered as slightly elevated
meaning of which indicates the Beta waves which is got
when a person is in anxious or doing fast activity. The
eSense value of scale 20 to 40 is said as reduced level
indicating the Theta waves usually seen under the children
of 14 years and in some abnormal adults [8]. The eSense
Fig 1: Brainsense EEG Headband value of scale ranging from 1 to 20 is said as strongly
Revised Manuscript Received on May 22, 2019
N.Kripa, Research Scholar, Department of Biomedical Engineering lowered which indicates the Delta wave which occurs
Bharath Institute of Higher Education and Research, 173, Agaram Road, during early stage of sleep.
Selaiyur, Chennai – 600073, Tamil Nadu, India.Chennai-73
Dr. R. Vasuki, Professor, Department of Biomedical Engineering
Bharath Institute of Higher Education and Research, 173, Agaram Road,
Selaiyur, Chennai – 600073, Tamil Nadu, India.Chennai-73
R. Kishore Kanna, Research Scholar, Department of Biomedical
Engineering Bharath Institute of Higher Education and Research, 173,
Agaram Road, Selaiyur, Chennai – 600073, Tamil Nadu, India.Chennai-73
Published By:
Retrieval Number A2144058119/19©BEIESP 992 Blue Eyes Intelligence Engineering &
Sciences Publication
Realtime Neural Interface Controlled Au-Pair BIMA Bot
Fig 5: ATmega 328
Arduino is connected with the computer with the USB
cable. After launching the Arduino IDE a window is
opened.
Fig 3: EEG Wave Types
IV. BIMA BOT
Components and Construction:
BIMA is the Biorobot Interfaced Manipulated
Assistant. BIMA Bot is a pick and place robot model.
Fig 6: Arduino IDE window
ATmega comes with preburned bootloader so as the new
Fig 4: Required Components for BIMA Bot code can be uploaded without any use of external
hardware programmer[11].
The base is taken and connected with two 30
rpm gear motors in back side and two dummy wheels V.EEG INTERFACED WITH BIMA BOT
are connected in front side. Along with that 10 rpm gear
motor is connected in centre of the base for rotation.
Flange is connected to the centre of the robot. The plate
is turned and it is connected with the gear motor tightly.
The side pieces are connected to the circle plate and
pasted with anabond paste[15].
The two arms are connected to the flange tightly. 60rpm
bom motor is fixed with 3*30mm screw and the gear
gripper is connected with it [9]. The arm is connected
with the gear motor. The base gripper is turned and the
gear is connected to the motor.
Fig 7: EEG Acquisition
Gear gripper is connected one by one carefully. The
controller is kept at the centre of the pick and place robot EEG is been acquired from different persons and for
model. each person the eSense value is found by taking the
repeated eSense values for that person [14]. This eSense
Control Unit: value is been fed to the microcontroller of the BIMA
Bot.
ATmega 328 is used as microcontroller in the control
unit. It has 28 pins, 8bit, 32 kb Flash memory[10].
Published By:
Retrieval Number A2144058119/19©BEIESP Blue Eyes Intelligence Engineering &
993
Sciences Publication
International Journal of Recent Technology and Engineering (IJRTE)
ISSN: 2277-3878, Volume-8, Issue-1, May 2019
We would like to thank the Institution to allow us to do the
research and also the management for the great support in
providing the necessary things for this research.
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For each person the e Sense value differs depending upon Volume 4, Issue 1, January 2014, pg 84
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the same person’s eSense value has to be fed because it Analysis of Auditory Stimulus in a Brain-Computer Interface”, 2015
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The same work is repeated again for the same Research Journal Of Engineering And Technology (Irjet), Volume: 02
number of people after a certain duration of 4 months. Issue: 06 | Sep-2015, Pp 865-868.
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0
Age 6-14 Age 15-25 Age 26-45 Age 46-60
Fig 9: Chart for eSense value vs. the Age of the person
Thus the working of BIMA Bot for the Brain
controlled interface is attained.
ACKNOWLEDGEMENT
Published By:
Retrieval Number A2144058119/19©BEIESP 994 Blue Eyes Intelligence Engineering &
Sciences Publication
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