D. Usha Rani
Papers
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1
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About
Dr. D. Usha Rani is a leading researcher in affective computing and artificial intelligence, with a specialized focus on advancing facial emotion recognition (FER) systems. Her most cited work, "Advanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance Evaluation" (2025), introduces a novel hybrid deep learning framework that combines Deep Convolutional Neural Networks with Extreme Learning Machines to significantly improve emotion detection accuracy. This research addresses the critical challenge of teaching computers to interpret facial expressions, which convey over 55% of human emotional communication in face-to-face interactions. Dr. Rani's contributions have practical implications for human-computer interaction, mental health monitoring, and assistive technologies. Her work demonstrates how preprocessing techniques and optimized feature extraction can enhance machine understanding of subtle emotional cues, paving the way for more empathetic AI systems. With a growing citation impact, Dr. Rani continues to push boundaries in making technology more responsive to human emotional states, establishing herself as an innovator at the intersection of computer vision and psychological computing.
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Top Papers
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