IoT Enabled Smart Wheelchair for Intelligent Navigation and Remote Monitoring

Le résumé fourni par la source

Here is an innovative step toward the independence and mobility of physically disabled persons as part of development into Smart Wheelchair through IoT, AI/ML, and cloud technologies. The paper covers the entire set system, which consists of IoT sensors for real-time health monitoring, AI/ML algorithms for intelligent obstacle detection and path navigation, and cloud service application or system as data storage and computing and remote health monitoring. The wheelchair houses several sensors, including proximity sensors, accelerometers, and heart rate sensors, to bring safety and comfort within reach during use. With the aid of AI/ML models, it is possible to make things adaptive control. Thus, the wheelchair applies: autonomously navigates, finds out how to avoid obstacles, and learns from the user in the user's environment. Furthermore, the voice commands and smartphone integration help make the control completely seamless for the user. Cloud services efficiently handle the data and create communications about real-time action with healthcare providers regarding early interventions. Smart wheelchair promises improved quality of lifestyle as increased independence and safety for its users and enables caregivers and medical professionals to monitor them remotely. The work points to the future of assistive technologies, harnessing the potential of bringing IoT, AI/ML, and cloud computing into the area under consideration.

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