AI-ENABLED MULTI-MODE SMART WHEELCHAIR WITH VOICE AND GESTURE CONTROL FOR DISABLED PERSON

Abstract: This smart wheelchair integrates IOT and AI technologies to improve mobility and independent for individuals with disabilities. By combining hand gesture recognition, voice command processing, and intelligent automation, it provides a flexible, user-friendly, and adaptive solution for diverse needs. The IOT framework allows real-time monitoring and communication between the wheelchair and connected devices, enabling remote supervision and diagnostics. Hand gesture control, via motion sensors, ensures intuitive self-navigation, while the voice recognition module, powered by AI, interprets spoken commands for users with limited hand mobility. AI optimizes movement, detects obstacles, and ensures safe navigation. Additional features, such as emergency stop, fall detection, and health monitoring, enhance safety and provide timely alerts to caregivers. This multi-modal control system empowers users with greater independence, safety, and comfort, representing a significant advancement in smart assistive technology, fostering inclusivity and improving quality of life for people with mobility impairments.

Keywords: IOT (Internet of Things), AI (Artificial Intelligence), Hand gesture recognition, Voice command processing, Health Monitoring.