Wheelchair Control Using Finger Gestures IoT-Based Arduino

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Rana Ali Salim

Abstract

This paper presents the development of a wheelchair control system using Arduino and wireless finger gestures. The system incorporates various components such as Arduino Uno and Arduino Nano boards, ultrasonic and IR sensors, an LN298 motor driver module, motors, an IR flame/fire sensor, a buzzer, batteries, and HC12 wireless modules. The flex sensor is utilized to detect finger movements and gestures, while the ultrasonic and IR sensors provide obstacle detection capabilities. The Arduino boards process the sensor data and interpret the finger gestures, mapping them to specific commands for wheelchair control. The LN298 motor driver module interfaces with the motors to enable the execution of the desired motions based on the recognized gestures. IR flame/fire sensor monitors fire, and the buzzer provides audible feedback. The HC12 wireless modules facilitate wireless communication between the Arduino boards. The paper aims to create an intuitive and efficient control system for a wheelchair, allowing users to navigate their surroundings using wireless finger gestures while incorporating obstacle detection and air quality monitoring features.

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How to Cite
Salim, R. A. (2024). Wheelchair Control Using Finger Gestures IoT-Based Arduino . Babylonian Journal of Internet of Things, 2024, 137–150. https://doi.org/10.58496/BJIoT/2024/016
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