Intelligent Assistive Devices for the Disabled and Management System
Keywords:
machine learning, Internet of Things, robotics, artificial intelligenceAbstract
Recent advances in intelligent assistive technologies have transformed the landscape of disability support systems. Integration of artificial intelligence (AI), Internet of Things (IoT), robotics, and machine learning (ML) has led to the development of adaptive, real-time support devices that significantly enhance the autonomy and quality of life for disabled individuals. This paper explores the design, implementation, and effectiveness of intelligent assistive devices and the management systems that support them. It highlights their role in health monitoring, communication, mobility, and environmental control, offering insight into current innovations and future directions. Data from experimental setups and user feedback indicate a high degree of satisfaction and effectiveness, particularly in smart wheelchairs, voice-enabled interfaces, and cognitive support tools. The paper also emphasizes the need for standardized frameworks and ethical considerations for wider deployment.
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