Smart Glove Controlled Wheelchair

dc.contributor.authorNagham Fraij
dc.contributor.authorAkram Abu Aisheh
dc.date.accessioned2026-09-15T07:44:52Z
dc.date.issued2026-06-14
dc.description--
dc.description.abstractPeople with mobility impairments often face difficulties using traditional wheelchair control systems, especially when operating joysticks or manual controls. This project presents a Smart Glove Controlled Wheelchair that enables users to control wheelchair movement through simple hand gestures. The proposed system consists of two main units: a glove unit and a wheelchair unit. The glove unit is equipped with an Arduino Nano, an MPU6050 motion sensor, and an HC-05 Bluetooth module. The MPU6050 detects the orientation and movement of the user's hand, while the Arduino Nano processes the sensor readings and converts them into movement commands. These commands are transmitted wirelessly via Bluetooth to the wheelchair unit. The wheelchair unit consists of an Arduino Nano, an HC-05 Bluetooth module, an L298N motor driver, DC motors, an HC-SR04 ultrasonic sensor, and a buzzer. Upon receiving commands, the system controls the wheelchair movement in different directions, including forward, backward, left, right, and stop. In addition, the ultrasonic sensor continuously monitors the surrounding environment and detects obstacles to improve user safety by preventing collisions. The proposed system provides a low-cost, reliable, and user-friendly assistive mobility solution. It enhances user independence and demonstrates the practical integration of embedded systems, wireless communication, and sensor technologies in healthcare and assistive applications.
dc.description.sponsorship--
dc.description.statementofresponsibility● Many individuals with physical disabilities face difficulties in controlling traditional wheelchairs due to limitations in mobility, muscle strength, or coordination. Conventional control methods, such as manual operation or joystick-based systems, may not be suitable for all users and often require continuous physical effort. ● As assistive technologies continue to evolve, there is an increasing need for intelligent and user-friendly mobility solutions that provide greater independence and ease of use. Therefore, the challenge addressed in this project is the development of a smart wheelchair control system that utilizes simple hand gestures instead of traditional control mechanisms. ● The proposed system aims to provide a reliable, low-cost, and safe method for wheelchair control by integrating motion sensing, wireless communication, and obstacle detection technologies. This approach
dc.description.tableofcontentsThe main objective of this project is to develop a Smart Glove Controlled Wheelchair that enables users to control wheelchair movement through simple hand gestures in a safe, efficient, and user-friendly manner. The specific objectives of the project are: 1. To design and implement a wearable glove capable of detecting hand movements and gestures. 2. To utilize the MPU6050 motion sensor for measuring hand orientation and movement accurately. 3. To establish wireless communication between the glove and the wheelchair using HC-05 Bluetooth modules. 4. To control wheelchair movement in different directions, including forward, backward, left, right, and stop. 5. To integrate an obstacle detection system using an HC-SR04 ultrasonic sensor to improve user safety. 6. To provide warning alerts through a buzzer when obstacles are detected. 7. To develop a low-cost and reliable assistive mobility solution for individuals with physical disabilities. 8. To demonstrate the practical application of embedded systems, wireless communication, and sensor technologies in healthcare and assistive devices
dc.identifier.citation--
dc.identifier.other12220657
dc.identifier.urihttps://hdl.handle.net/20.500.11888/21328
dc.language.isoen
dc.publisherDr.Aladdin Masri,Hanal Abu Zant
dc.relation.ispartofseries--
dc.subject.classificationIndustry
dc.supervisorDr.Aladdin Masri,Hanal Abu Zant
dc.titleSmart Glove Controlled Wheelchair
dc.title.alternative--
dc.typeGraduation Project
person.telephone+972597767450

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