International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
Controlling a Car using Gesture by Accelerometer with the Help of
Arduino Nano
Oppiliappan T1, Sathyanarayana M1, Soornaraj1 R, Jeyaselvi M2
1Computer Science and Engineering, Agni College of Technology
2Assistant professor, Dept. of CSE Engineering, Agni College, TamilNadu, India
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Abstract - This project presents a low-cost human-computer interaction device represented by Arduino nano with
accelerometer to control RC car. Arduino glove includes accelerometer sensor to identify the angle of the hand while the
movements are identified by the adxl335. ADXL335 is a 3-axis accelerometer with signal conditioned voltage outputs. The
product measures acceleration with a minimum full-scale range of ±3 g.. Moreover, this work proposes an idea to integrate a
special construction of Arduino nano and ADXL335 instead of gyro sensor which are used by most of the glove projects.
KeyWords: ADXL335, Arduino nano, RC car
1. INTRODUCTION
The purpose of the project is to present a low-cost human-computer interaction device the moto of this device is to
provide a interaction between human being and a radio controlled car. This project proposed a glove that identify the
acceleration of hand which could be used as an input for this system. As the key component we use a toy car which uses
NRF24L01.However any other device such as robot arms, helicopters, quadcopter as well as other interactive device can
be also used. The input of this device is controlled by the ADXL335 it is a 3-axis accelerometer with signal conditioned
voltage outputs. The product measures acceleration with a minimum full-scale range of ±3 g and it calculate the
acceleration of the hand and sends the signal to the Arduino. It replace the construction of potentiometers and spring for
decreasing the cost of the project
The first wired connection glove named the Sayre glove was developed in 1977 by de Fanti and Sandi [1]. The base idea
included is to use flexible tubes with light source and photocell that is mounted on a finger and based on the movement
light intensity would vary that will cause a change in voltage in photocells. This gloves including MIT LED glove and digital
entry data glove were used for research purposes and were never commercialized. However, this prototype model was
used in creating a data gloves, more advanced wired connection gloves with a variety of sensors. Introducing the flex
sensors has solved accuracy and comfort issues associated with earlier gloves. Flex sensors are basically they are thin films
that have a carbon elements where t h e resistance varies as that thin substrate bends in the finger[2].
A device car is based on the Arduino neuron is utilizing ANN is proposed in [4]. The research proposed the learning and
following method for the represented autonomous car through the neural network. In another project, a system using
Arduino board, Bluetooth, and Processing was developed to allow the user to specify desired finger gestures for
controlling a variety of robotic devices [5]. In a similar project, authors discuss the use of the glove to control a video game
application for the rehabilitation of stroke patients [6]. In another project, It describes the sketch and implementation of
an Intelligent Haptic Robot-Glove (IHRG) for the rehabilitation of the patients that have a diagnosis of a cerebrovascular
accident is been discussed [7].
1.1 Hand Gestures
A hand gesture is an another way of communication (non vocals) in which the movement of the part of bodies especially a
hand to express an idea or meaning. Hand Gestures differ from non-verbal communication which does not communicate
some specific messages, like facial expressive displays, or displays of joint attention. Hand Gestures allow people to
communicate different words and feeling, from contempt and hostility to accept and affection, often together with body
language in addition to words through hand signs .The fig 1 represent the hand motion for this project.
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2353
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
Fig-1: Various Hand Gesture Signs
2. SYSTEM OVERVIEW
The System overview describes about the transmitter and receiver system and the accelerometer functionality
· TRANSMITTER
· RECEIVER
· PIN DIAGRAM OF ARDUINO NANO
· ACCELEROMETER
2.1 TRANSMITTER:
The project consist of a transmitter is shown in Fig 2, consists of Arduino Nano, NRF2401,ADXL335. ADXL335 is a 3-axis
accelerometer with the signal conditioned voltage outputs. The product measures acceleration with a minimum full-scale
range of ±3 the ADXL335 is place on above the wrist of the hand to measure the acceleration of the hand based on the
measure value it sends the condition set the Arduino nano which makes the decision process and sends the signal
RFTransmitter(NRF2401) which is required to perform wireless communication between transmitter and receiver parts
of the devices.. The main disadvantage is that it cannot be operated in a network of other transceivers, however, the
communication between transmitting and receiving part is required for this research without any uplink. Accelerometer
module (ADXL335) which transmits command to the Arduino
1. A microcontroller (Arduino nano) to receive input from accelerometer
2. RF Transmitter module transfers data to the receiver with the help of antenna.
Fig- 2: TRANMITTER CIRCUIT
2.2. RECIEVER:
The receiver is represented by a Radio-controlled car which is controlled by the glove. The schematic diagram of the
receiver circuit diagram is shown in Fig. 3. It includes four DC motors: two for forward as well as backward movements
and another two for the left and right turns. The speed of the car is controlled by the hand movements and it linearly
dependents to the angle of hand movement which is identified by the accelerometer. It means that if the hand is bent at a
maximum angle, then the speed of the car is maximum, and if the hand is straight then the speed of the car is zero. The 2.4
GHz RF transceiver module (NRF24L01) is used to receive information from the glove.
1. The receiver receives the data through the NRF2401 and send it to the Arduino nano
2. Arduino nano commands the motor driver based on the values received
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2354
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
Fig-3:RECIEVER CIRCUIT
2.3 PIN DIAGRAN OF ARDUINO NANO:
Fig-4: ARDUINO PIN CONFIG
The Arduino Nano Fig 4, is a type of microcontroller which is similar to the Arduino Uno. The difference between Uno and
Nano is the number of pin present in this microcontroller .Arduino nano is used for variety of application where the
microcontroller should be small and no need for more number of pins required. We use Arduino nano instead of Arduino
Uno to cost cut this price difference in making this project in less cost.
2.4. ARDUINO IDE
The program is written in Arduino Integrated Development Environment (IDE) v1.8.12 as shown in figure 3.5. and
connected to the Arduino hardware to upload the programs. Before uploading the program there is a need to select
appropriate Microcontroller so, “Arduino Nano” from the Tool menu has been chosen and then for proper communication
with computer and Arduino Nano boards there is a need to select COM port from the Tool menu
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2355
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
Fig-5: ARDUIINO
2.5. ACCELEROMETER
A sensor with accelerometer (ADXL335) module is used here, which senses the coordinate axis of direction of the
movements of the hand, then the car starts moving according to the movement of the hand. The ADXL335 is words on the
principle of Piezoelectric effect on measuring, the static acceleration amounts due to gravity, the ball of the angle tilted at
with respect to the earth is determined. On sensing the dynamic acceleration amount, the way of moving the car is
analyzed.
Fig- 6: Function block of accelerometer
The below fig shows how the adxl35 calculates the movement of the hand based on the acceleration due to gravity a small
and low power, and thin, a complete 3-axis acceleration meter with signal conditioning output voltages.It can measure the
acceleration with a minimum of full-scale range of ±3 g. It can also measure the static and dynamic due to acceleration of
gravity in moving-sensing applications, and resulting from motion, shock, or vibration respectively.
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2356
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
Fig-7: Accelerometer concept
3. TESTINGS AND PROCEDURES
Because of transmitter device ADXL335 wearing on hand and receiver on the car, the car starts moving according to the
movement of hand gestures. In this paper, we have explained about the 5 different hand gesture or movement positions
1. Stop condition
2. Forward condition
3. Backward condition
4. Moves towards right
5. moves towards left.
Stop condition: The car can be stopped moving the accelerometer parallel to the horizontal axis, This makes all the output
pins of decoder into (13, 12, 11, 10) set to high.
Forward condition: The car starts moving in forward direction, by making accelerometer moving to forward motion, this
condition sets the two output pin of decoder (13, 11) to low and set high on the opposite two output pin of decoder (12,
10).
Backward condition: The car starts moving in forward motion, by making accelerometer tilted to forward motion
(upwards), this condition sets the two output pin of decoder (13, 11) to high and set low on the opposite two output pin of
decoder (12, 10).
Moves towards Right: The car starts move towards right side by tilting the accelerometer towards right, and this makes
the two output pin of decoder (12, 11) low and other two output pin of decoder into (13, 10) high.
Moves towards Left: The car starts move towards left side by tilting the accelerometer towards left, and this makes the
two output pin of decoder (12, 11) high and other two output pin of decoder into (13, 10) low
Here another YOLO model has been trained to detect the character in the given plate. The model will process the give
image and detect the character and return the bounding box and its coordinates decoder into (13, 10) low
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2357
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
4. CONCLUSION:
This project represent a low cost human-computer interaction device with the help of Arduino glove which uses ADXL
335 and nRF24L01 are proposed in this project. The ADXL335 provides the degree for RC car to move in corresponding
direction, with the help of Arduino glove we can also control robot hand, helicopter and quadcopter device which can be
controlled by this project. It consist of RFtransmitrer, RFreciever and Arduino nano the use of this component reduces the
cost price compared to the use of Arduino uno and XBee integrated with Arduino mega board in conclusion, the overall
cost of the system can further be decreased by replacing flex sensor with a ADXL335 as proposed without having any
effect on the performance of the system and provide more accuracy than the existing system
REFERENCES
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http://www. ece.uvic.ca/~bctill/papers/mocap/Dipietro_etal_2008.pdf
3. Alibaba Website. Retrieved 29, November, 2016 from https:// www.alibaba.com/showroom/flex-sensor-4.5.html.
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