GESTURE CONTROLLED CAR GROUP MEMBERS: Afnan kamran ADP (003) Ahmad Tariq ADP (001) Basit Ali ADP (004)
Abstract Gesture Controlled Car is a robot which can be controlled by simple human gestures. The user just needs to wear a gesture device in which a sensor is included. The robot and the Gesture instrument are connected wirelessly through radio waves.We can control the car using accelerometer sensors connected to a hand glove. It will allow user to control the forward, backward, leftward and rightward movements, while using the same accelerometer sensor to control the throttle of the car. The main advantage of this mechanism is the car with this mechanism can take sharp turn without any difficulty.
Introduction: Nowadays, robotics are becoming one of the most advanced in the field of technology. Some of the most commonly used control systems are voice recognition, tactile or touch controlled and Gesture controlled. A Gesture Controlled robot is a kind of robot which can be controlled by your hand gestures not by old buttons.You just need to wear a small transmitting device in your hand. Some robots require some degree of guidance, which may be done using a remote control or with a computer interface The main goal of this project is to control the movement of the robot with hand gesture using accelerometer.The robot is usually an electro-mechanical machine that can perform tasks automatically.
But, controlling the robot with a remote or a switch is quite complicated. So, a new project is developed that is, an accelerometer based gesture control robot. The Wireless Hand controlled Robot will function by a wearable hand glove from which the movements of the hand can be used as the input for the movement of the robot. The basic idea of our project is to develop a system (Robot) which can recognize the Human Interaction with it to accomplish the certain tasks assigned to it. In our project we will design a wearable Hand Glove which will contain the sensors mounted on it to capture the movement of the hand and convert the raw mechanical data into electrical form. The aim of the project is to develop a human machine interface used for control robot arm. Our objective is to make this device simple as well as cheap so it can be produced and used for number of purposes.
Scope and Applications: Wireless controlled robots are very useful in many applications like remote surveillance, military etc. Hand gesture controlled robot can be used by physically challenged in wheelchairs. Hand gesture controlled industrial grade robotic arms can be developed. Entertainment applications – Most videogames today are played either on game consoles, arcade units or PCs, and all require a combination of input devices. Gesture recognition can be used to truly immerse a players in the game world like never before. Automation systems – In homes, offices, transport vehicles and more, gesture recognition can be incorporated to greatly increase usability and reduce the resources necessary to create primary or secondary input systems like remote controls, car entertainment systems with buttons or similar.
An easier life for the disabled – One of the biggest challenges faced today is providing separate and equally non cumbersome services to the differently abled and handicapped. While there are special provisions around the world, there’s still huge room for improvement to bring all lives on equal footing. Gesture recognition technology can eliminate a lot of manual labor and make life much easier for those who aren’t as fortunate as most of us are.
Methodology: Components used in Project: Transmitter Components: ARDUINO UNO: Arduino UNO is a low-cost, flexible, and easy-to-use programmable open-source microcontroller board that can be integrated into a variety of electronic projects. This board can be interfaced with other Arduino boards, Arduino shields, Raspberry Pi boards and can control relays, LEDs, servos, and motors as an output.
DC 12v Motors: 2x DC 12v Motors; 12 volt DC motor is a rotary motor which can convert the direct current into mechanical energy or convert mechanical energy into DC power. It mean that the 12 volt DC motor can interconvert electric energy and mechanical energy. When it is operated as a DC motor, electric energy is converted into mechanical energy.
L293D Motor Driver: L293D is a typical Motor driver or Motor Driver IC which allows DC motor to drive on either direction. L293D is a 16-pin IC which can control a set of two DC motors simultaneously in any direction. It means that you can control two DC motor with a single L293D IC.
NRF24L01: NRF24L01 is basically a wireless transceiver, which is used to send and receive data by using radio waves. It is a single chip transceiver module. It uses SPI protocol for transmitting data. Its data transmission speed is up to 2Mbps. NRF24L01 is normally used in industrial devices and projects for data transmission. It is mostly used in computer, toys, remote control, games, and other electronic devices.
Arduino Nano: The Arduino Nano is a small, complete, and breadboard-friendly board based on the ATmega328 . It has more or less the same functionality of the Arduino Duemilanove, but in a different package. It lacks only a DC power jack, and works with a Mini-B USB cable instead of a standard one.
MPU-6050: MPU6050 is a Micro Electro-mechanical system (MEMS), it consists of three-axis accelerometer and three-axis gyroscope. It helps us to measure velocity, orientation, acceleration, displacement and other motion like features.
Literature Review: The research for gesture control started in the late 1980s. Inventions of special hand gloves and voice control on a large screen gave rise to the fundamentals of the gesture recognition system. Later, automotive applications were the first gesture recognition system created for better user interface. In 1986 a Canadian Vincent John Vincent firstly invented Gesture controlled. In the early 2000s, the gaming industry was booming, giving birth to touchless technology – famously known as the game controller device. GestPoint technology in 1996 is a camera-enabled video tracking software system that translates hand and body movement into computer control.
The system enables users to navigate and control interactive multi-media and menu-based content, engage in virtual reality game play, experience immersion in an augmented reality environment or interact with a consumer device In 2004, the introduction of the first fluid two-handed interaction input device based on vision enhanced PCs and Laptops experience. In 2011, research on mobile touch-screen gesture designs was published, leading to an industrial. Later in 2015 BMW 7 series, firstly introduced a gesture recognition system for automotive industry. Which can recognize hand gestures that control music/ audio and recieve incoming calls.
Conclusion: The purpose of project is to control a toy car using accelerometer sensors attached to a hand glove. The sensors are intended to replace the remote control that is generally used to run the car. It will allow us to control the movements, while using the same accelerometer sensor to control the throttle of the car based on the hand movements. Hand Gesture Controlled Robot System gives a more natural way of controlling devices.
Future Recommendation: The future holds significant aspects for the education field, enhancing classroom participation and interaction. Medical Field. This system can also be employed in medical field where miniature robot are created that can help doctors for efficient surgery operations. Entertainment Applications. Automotive Industry.