Modular Deep Learning Framework for Assistive Perception: Gaze, Affect, and Speaker Identification

arXiv — cs.LG•Wednesday, November 26, 2025 at 5:00:00 AM

PositiveArtificial Intelligence

A new modular deep learning framework has been developed to enhance assistive perception technologies, focusing on gaze, affect, and speaker identification. The framework integrates three independent sensing modules, achieving high accuracies in eye state detection, facial expression recognition, and voice-based speaker identification using advanced neural network architectures.
This development is significant as it lays the groundwork for creating lightweight, domain-specific models that can be implemented in resource-constrained assistive devices, potentially improving accessibility for users with varying needs.
The research reflects a growing trend in artificial intelligence towards creating efficient, multimodal systems that can operate in real-time across different applications, from assistive technologies to energy-efficient manufacturing processes, highlighting the versatility and importance of deep learning methodologies in diverse fields.

— via World Pulse Now AI Editorial System

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