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vehicle information. These systems may include
multi-axis accelerometers for speed, acceleration and
deceleration, gyroscopes to detect rotation and
direction, and GPS to detect position. The basic
working principle of an accelerometer is to convert
energy into electricity. When a large object touches
the sensor, it bounces off and starts moving. As soon
as he moved, he began to accelerate.
4.6 Motor Driver
A generator is an electrical device that converts
electricity into electricity. Thus, the drive allows you
to use electricity for automatic operation. There are
many types of electric motors. These types include
DC motors, stepper motors and servo motors. The
working model of the engine and its different
characteristics. The driver itself is the interface
between the motor and the microcontroller. This is
because the microcontroller and the motor operate at
different speeds. The motor will use a higher current
level than the microcontroller. First, the
microcontroller sends the signal to the motor. The
received signals are then interpreted and processed in
the engine. The motor has two power input pins. Pin 1
powers the driver and pin 2 powers the motor using
the motor IC.
5 TESTING
For gesture vocalizer we tested many combinations of
finger gestures, with each finger gesture there was
bending of flex sensor and as we know the working of
flex sensor, and the resistance of the main sensor is
changed by bending the ground. Since the resistance
is directly proportional to the amount of bending, it is
often called a flexible potentiometer. So, we tested for
different combinations and noted down the voltage
drop occurring in the flex sensors. So, as we had a
plan to make gesture vocalizer glove so when the
person is unable to speak when he wears the glove as
shown in below figure. For different hand gesture we
tested different voltage value as we will show that
what is the voltage drop for different hand gesture.
6 SOFTWARE MPLEMENTATION
We utilize Arduino IDE, for coding we had written
the code firstly for gesture vocalizer and uploaded the
code to microcontroller (Arduino UNO). We had
written code to take output from flex sensors and take
the value from the sensor and store it in a variable.
And had written if conditions in the code that if the
value of thevariable is more than the calibrated
value then the predefined words will be sent to the
Bluetooth module.
Bluetooth communication was declared the code.
And for the Gesture based moving vehicle the
codewas written to take the x axis and y axis value
based on hand gestures and if conditions were written
based on these conditions the instruction was sent to
the receiver part through Zigbee module and this code
and uploaded into Arduino NANO (Transmitter).
And the other code was uploaded to another Arduino
NANO (Receiver) which had the code to initialize
and run the motor driver based on the instructions
given from transmitter.
7
RESULTS AND ANALYSIS
Fasten the moving vehicle with a smart glove and
control the straight forward and rotation of the car
from with hand gestures. The operation of the car is
always stable after many adjustments. Checking the
three-axis acceleration data and three-axis gyro data
by reading the MPU6050 in real time, and calculate
the Roll angle and Pitch angle through the built-in
filter algorithm. The system is then sent to Operation
and the 3D status of the MPU6050 is displayed in real
time in the serial monitor. By monitoring the angle of
the MPU6050, the angle of the MPU6050 can be kept
in real time and the 3D events of the MPU6050 can
be made. Seen by making an intuitive demo Interface.
We could see that the behavior at a given moment
when the MPU6050 rotates and the value of the
response angle is. It proves that there is no problem
with the MPU6050 module and that the character
angle can be calculated normally uses gesture
recognition technology, software and programming
to realize moving vehicle control.
In this control system, the gesture based moving
vehicle has good manoeuvrable ability handling and
stability, and can perform forward, backward, left
turn, right turn, etc. The tests were conducted as
shown in testing section and reanalysed that the as
specified the as expected, for the respective hand
gestures we got the respective words which we had
predefined and the Bluetooth module was sending the
text to the android mobile accurately and the
conversion of text to speech was done with accuracy.
ISPES 2023 - International Conference on Intelligent and Sustainable Power and Energy Systems
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