Hrithik Maurya
Papers
1
Total Citations
2
H-Index
1
About
Hrithik Maurya is a researcher focused on the intersection of computer vision and deep learning, with a particular emphasis on affective computing. His most cited work, "Face Emotion Detection Using Convolutional Neural Network (CNN) and OpenCV" (2024), has garnered 2 citations, demonstrating early impact in the field. This paper presents a robust framework for real-time emotion recognition, combining the power of CNNs for feature extraction with OpenCV for efficient image processing. Maurya's contribution lies in developing a practical, accessible system that can detect human emotions from facial expressions, a technology with applications ranging from human-computer interaction to mental health monitoring. By leveraging widely-used tools and a streamlined CNN architecture, his work offers a scalable solution for emotion detection tasks. As an emerging researcher, Maurya's work signals a promising trajectory in applying deep learning to solve real-world problems, particularly in making machines more perceptive to human emotional states.
Research Focus
Key Achievements
Top Papers
- 1