Hand Gesture Controlled Smart Wheelchair with Fall Detection Alarm
Keywords:
Fall detection, Hand gesture, Obstacle avoidance, Remote control, WheelchairAbstract
This work presents a hand gesture-based smart wheelchair control system that utilizes wireless technology for intuitive navigation. The system integrates gesture detection, tracking, and recognition in real-time, allowing individuals with limited mobility to operate the wheelchair effortlessly. By employing acceleration-based technology, it establishes an efficient human-machine interaction for smooth movement control. The wheelchair features remote-control functionality up to 60 meters and an obstacle avoidance system for enhanced safety and comfort. An Arduino microcontroller serves as the central unit, interfacing with an accelerometer sensor, motor driver unit, and edge detection sensors to ensure precise motion control. Unlike traditional joystick-operated wheelchairs, this hands-free system enables greater independence for users with severe motor impairments. The combination of gesture recognition, wireless communication, and obstacle detection makes it a significant advancement in assistive technology. With its user-friendly design and enhanced safety features, this intelligent wheelchair improves mobility and accessibility for elderly and disabled individuals. Future enhancements could include AI-powered gesture learning, voice control, and IoT-based remote monitoring, further expanding its applications in healthcare and smart mobility solutions.
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