Project Abstract

As the global population continues to age, the need for innovative solutions to support the independence and well-being of older adults has become increasingly urgent. This project aims to develop a comprehensive assistive technology (AT) system that empowers older adults to maintain their autonomy and improve their quality of life. By leveraging cutting-edge technologies and a user-centered design approach, this project seeks to address the unique challenges faced by older adults in their daily lives. The project's primary objective is to create an integrated AT system that can effectively assist older adults in performing essential daily activities, such as medication management, home safety monitoring, and fall prevention. The system will incorporate a variety of sensors, smart home devices, and artificial intelligence-driven algorithms to continuously monitor the older adult's physical and cognitive well-being. This data will be used to provide personalized recommendations and interventions, ensuring that the older adult receives the appropriate level of support at the right time. One of the key innovations of this project is the development of a seamless user interface that caters to the specific needs and preferences of older adults. The interface will be designed to be intuitive, accessible, and easy to use, with considerations for visual impairments, cognitive limitations, and physical disabilities. By involving older adults and their caregivers in the design process, the project team will ensure that the AT system is tailored to the user's needs and preferences, fostering a sense of empowerment and independence. In addition to the technical development of the AT system, this project also emphasizes the importance of social integration and community engagement. The system will incorporate features that encourage older adults to stay socially connected, such as video conferencing, virtual support groups, and community-based activities. By addressing the social isolation and loneliness that often plague older adults, the project aims to improve their overall well-being and mental health. Furthermore, the project will explore the potential of using machine learning and artificial intelligence to enhance the AT system's capabilities. This includes the development of predictive models that can anticipate the older adult's needs and proactively provide tailored assistance. Additionally, the system will leverage natural language processing and voice recognition to enable seamless voice-based interactions, making it more accessible for those with limited dexterity or vision. The successful implementation of this project will have far-reaching implications for the aging population. By providing older adults with a comprehensive and user-friendly AT system, the project can empower them to maintain their independence, reduce the burden on caregivers, and ultimately improve their overall quality of life. The project's findings and insights will also contribute to the broader field of assistive technology, informing the development of future solutions and shaping the way we approach the challenges of an aging society.

Project Overview