Cognitive-Driven Edge AI for Real-Time Assistive Technologies: Enhancing Accessibility with On-Device Intelligence

Authors

Subhasis Kundu

Abstract

This review paper examines the convergence of Cognitive-driven Edge Artificial Intelligence (AI) and real-time assistive technologies, with a focus on enhancing accessibility for individuals with disabilities. The paper investigates the potential of lightweight, low-latency Cognitive AI models deployed on Edge devices to provide immediate and personalized assistance. It analyzes the challenges and opportunities in developing on-device intelligence for various assistive applications, including visual aid systems, speech recognition, and gesture interpretation. The review elucidates recent advancements in Edge computing and machine learning algorithms that enable real-time processing and decision-making without relying on cloud connectivity. Furthermore, it addresses the ethical considerations and privacy concerns associated with Edge AI in assistive technologies. The paper concludes by delineating future research directions and potential impacts on improving the quality of life for individuals with disabilities through Cognitive-driven Edge AI solutions.

Keywords

Edge AI, Assistive Technologies, Cognitive-Driven, Real-Time Processing, Accessibility, Low-Latency, User Privacy, Neurodevelopmental Disorders

Cognitive-Driven Edge AI for Real-Time Assistive Technologies: Enhancing Accessibility with On-Device Intelligence. Subhasis Kundu. 2019. IJIRCT, Volume 5, Issue 1. Pages 1-7. https://www.ijirct.org/viewPaper.php?paperId=2503085