Head Gesture Controlled and Obstacles Detected Automatic Wheelchair for Quadriplegic Patients

Abstract

The research focuses on developing an innovative head gesture-controlled wheelchair with advanced obstacle-detection capabilities designed explicitly for quadriplegic patients. The system ingeniously incorporates an MPU 6050 sensor, an Arduino UNO controller, and multiple ultrasonic sensors to ensure precise control, seamless navigation, and enhanced safety. The MPU 6050 sensor plays a crucial role in capturing intricate head movement data, which the Arduino UNO controller then processes to translate these movements into navigational commands for the wheelchair. This allows quadriplegic patients to regain significant mobility and independence, enhancing their quality of life. Moreover, including ultrasonic sensors is a critical aspect of the system. These sensors continuously monitor the surroundings, detecting obstacles and elevation changes in real-time. This real-time detection capability is essential for preventing collisions and safely navigating complex terrains, ensuring user safety. The wheelchair is meticulously designed to be cost-effective without compromising functionality, user safety, or flexibility and combining the technologies results in a sophisticated mobility solution that not only addresses the mobility challenges faced by quadriplegic patients but also provides a practical and affordable option for their everyday use. This research represents a significant step forward in assistive technology, offering new possibilities for enhancing patient independence and well-being.