Leveraging Massive Information from Diverse Devices: An Intelligent, Low-Cost, Voice-Controlled Autonomous Wheelchair for Enhanced Mobility

This paper explores the development of an intelligent, low-cost, voice-controlled autonomous wheelchair designed to enhance mobility for individuals with disabilities. The wheelchair integrates diverse data from multiple devices, including a voice recognition module, joystick module, ultrasonic sensors, and solar panels, to provide a comprehensive and adaptive user experience. Leveraging massive information from these interconnected devices, the wheelchair employs artificial intelligence and machine learning algorithms to refine its responsiveness to users’ voice commands, improving adaptability to individual speech patterns over time. The solar panels contribute to the wheelchair’s sustainability by harnessing solar energy for battery charging, ensuring prolonged operation without frequent recharging. This study details the design methodology, fabrication process, and performance testing of the wheelchair, showcasing its capabilities such as an optimum speed of 0.89 m/s, a load capacity of 20 kg, and effective obstacle avoidance. Additionally, the paper addresses the wheelchair’s advantages, potential limitations, and future enhancements. By leveraging diverse data sources and intelligent systems, this innovative wheelchair aims to significantly improve mobility, individuality, and worth of life for beings with mobility challenges and the elderly.