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IEEE Demo Template For Computer Society Conferences 1 by arshilchowdhury9 is a document available to read on EtoBox.

This paper presents a non-invasive, real-time framework for detecting decision fatigue in Human-Computer Interaction (HCI) using a dual-stream Convolutional Neural Network (CNN) that integrates facial landmark analysis with mouse trajectory dynamics. The proposed system achieves a classification accuracy of 91.8% and demonstrates significant improvements over unimodal models. The research aims to contribute to the development of

Author

arshilchowdhury9

Language

EN