International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 06 | June 2022 www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
Gesture-Controlled Wheelchair Prof. Varsha S Jadhav1, Anusha Raichur2, Manasi U Remje3, Pruthviraj S V4, Aishwarya S Bijapur5 1Prof.
Varsha S Jadhav, Professor, Department of Information Science and Engineering, SDMCET Dharwad, Karnataka, India Raichur, Student, Department of Information Science and Engineering, SDMCET Dharwad, Karnataka, India 3Manasi U Remje, Student, Department of Information Science and Engineering, SDMCET Dharwad, Karnataka, India 4Pruthviraj S V, Student, Department of Information Science and Engineering, SDMCET Dharwad, Karnataka, India 5Aishwarya S Bijapur, Student, Department of Information Science and Engineering, SDMCET Dharwad, Karnataka, India 2Anusha
------------------------------------------------------------------------***---------------------------------------------------------------------Abstract— Converting an image to a digital II. EXISTING SYSTEMS
representation and performing operations on it to extract vital information is what image processing entails. When using specialised signal processing algorithms, the image processing system traditionally manages all images as 2D signals. In India, the proportion of disabled individuals has increased in both urban and rural areas. The unpleasant impairment could be a result of birth, medical treatment, or an accident. The purpose of this project is to develop a hand gesture-controlled wheelchair that will allow physically challenged people to travel from one point to another by merely directing their hands. The proposed method could be used on a broad scale to help the elderly and partially disabled. A well-tested machine algorithm, as well as related materials and technologies, have been merged with a microprocessor in this proposed system. By assisting the elderly and physically challenged in becoming more selfreliant, this gesture controlled wheelchair could play a critical role in increasing their confidence, function, and willpower. The goal of this research is to develop a system that recognises hand motions in real time and controls the wheelchair using an image processing method.
Index Terms—Intelligent wheelchair, microprocessor, image processing I.
INTRODUCTION
The existing systems use the following different approaches:
ACCELEROMETER SENSOR technology from MEMS (Micro Electro Mechanical Systems), which involves attaching accelerometers to the fingertips and back of the hand.. A MEMS ACCELEROMETER SENSOR is highly sensitive and detects every tilt, hence it requires the user to be very accurate with his gestures else it will end up producing an errored direction shift of the wheelchair.
IRLED – TSOP pair of sensors organised in a predefined way to record the gesture. This circuital layout limits the area for gesture recognition. The LED arrangement could possibly generate errored results if the gesture made is outside the detection limit of the LED.
III. PROPOSED SYSTEM The proposed system uses the following approach to overcome the problems of the existing systems: The system will capture images in real time and send it to a microprocessor such as raspberry pi where each image will be processed and analysed using a hand gesture recognition algorithm. After this the corresponding instruction is generated and the wheelchair navigates based on the instruction.
Even in this day and age of continuously expanding health and medical facilities, a substantial number of people still have trouble getting around on a daily basis. Clearly, a wheel chair is the greatest solution for them, since it may really assist them. Our mission is to assist physically challenged people who are suffering from ailments that limit their dayto-day movement. Even for a normal person, driving a wheelchair in a domestic environment is a challenging chore; this necessitates a well-designed and thoroughly tested automated wheelchair that is also user friendly. In this situation, One of the most essential steps that may be taken to improve the lives of physically challenged persons is to use wheelchairs with sophisticated navigational intelligence.
The microprocessor converts the captured video into multiple frames of images for further processing. Each image is then processed and hand gesture recognition algorithm using open cv is applied on the image. Analysing the gesture, respective instruction is generated. The generated instruction is then
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IV. METHODOLOGY The system captures real-time video of the user using a camera which is further sent to microprocessor (ex: raspberry pi).
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