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Author

Amit Rehapade

2 papers indexed here

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Sep 2026

Emotionnet: A Deep Learning Framework for Real-Time Video-Based Facial Emotion Recognition

EmotionNet is a neural network that is used to recognize facial emotions in real-time and under dynamic and unconstrained conditions using videos. The suggested system combines both spatial features extraction and time modeling to ensure the capture of facial appearance and motion-based emotion features. A convoluted n...

Amit Rehapade · 0 citations
Sep 2026

Comparative Performance Analysis of a Custom CNN, VGG16, and the Proposed Emotion Net Model for Facial Emotion Recognition

Facial emotion recognition (FER) plays a pivotal role in affective computing, healthcare monitoring, adaptive education, surveillance, and human computer interaction. This study benchmarks three deep learning solutions for seven class FER on the Extended Cohn Kanade (CK+) corpus: a compact custom convolutional neural n...

Amit Rehapade · 0 citations

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