ISSN : 2663-2187

REAL-TIME PHYSIOLOGICAL AND BEHAVIORAL ANALYSIS WITH COMPUTER VISION AND MACHINE LEARNING FOR ENHANCED SIGN LANGUAGE RECOGNITION, BIOMETRIC AUTHENTICATION, AND STRESS PREDICTION

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E. Boopathi Kumar, B. Prabhaakaran, M. Joy Nirmal Naveen, K. Darshana
ยป doi: 10.33472/AFJBS.6.Si2.2024.553-573

Abstract

Digital world focus on technologies with multiple resources to refine human work in perfect way. This paper aims at enhancing digital security, stress management, and communication inclusivity. First, a novel multi-factor biometric authentication method is introduced, combining facial recognition with physiological variables like mouth motions and eye movements for robust user verification.

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