Singh, Vedant (2025) AI-Powered Assistive Technologies for People with Disabilities: Developing AI Solutions that Aid Individuals with Various Disabilities in Daily Tasks. Journal of Engineering Research and Reports, 27 (2). pp. 292-309. ISSN 2582-2926
Full text not available from this repository.Abstract
In this paper, the viewpoints of people with disabilities are also examined, focusing on the positive impact that modern innovations based on artificial intelligence will have on these people's lives. Currently, more than one billion people worldwide have a disability, and AI offers an opportunity in the areas of mobility, communication and cognitive functions. Mobility assistive technologies with AI, like innovative wheelchairs and exoskeletons, enhance users' independence by providing adaptive self-driven support and control. In interaction, speech recognition and text-to-speech technologies help the physically disabled interact with others. Cognitive support technologies are applications that assist users with memory problems, autism, or learning disabilities and serve to manage activities and train cognition. The paper also identifies major technologies that underpin these innovations, such as Natural Language Processing, Computer Vision and Machine Learning. However, there has not been a total eradication of the challenges associated with using AI, including but not limited to massive costs, data privacy acts, and biased AI models. Other ethical factors should be considered to make access fair for all. The future of AI-enabled assistive technologies is with Smart Cities & IoT: Embracing social connectedness and improving health and well-being. Efforts by policymakers, technologists, and society are needed to develop solutions that are open, cheap, and user-centered.
Item Type: | Article |
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Subjects: | East India Archive > Engineering |
Depositing User: | Unnamed user with email support@eastindiaarchive.com |
Date Deposited: | 03 Mar 2025 04:08 |
Last Modified: | 03 Mar 2025 04:08 |
URI: | http://article.ths100.in/id/eprint/2170 |