E. J. G. S. Appuhamy
Papers
3
Total Citations
9
H-Index
2
About
E. J. G. S. Appuhamy is a researcher advancing the frontier of human-robot interaction, with a core focus on emotion recognition for service robotics. Their work centers on enabling robots to perceive and respond to human emotional states, a critical capability for assistive technologies supporting elderly and disabled populations. Appuhamy’s most cited paper, "Development of a GPU-Based Human Emotion Recognition Robot Eye for Service Robot by Using Convolutional Neural Network" (2018, 5 citations), introduces a real-time system that integrates convolutional neural networks for human tracking and emotion detection, directly addressing the looming shortage of caregivers. Building on this, their comparative study "Emotion Classification Comparison in Convolutional Neural Networks and Fuzzy Logics for Service Robotic Applications" (2023, 3 citations) systematically evaluates deep learning versus fuzzy logic approaches, offering practical insights for robotic design. More recently, "Emotional Recognition and Expression Based on People to Improve Well-Being" (2023, 1 citation) extends their work toward using emotional feedback to enhance long-term human health. Though still early in their career, Appuhamy’s consistent focus on GPU-accelerated, real-time emotion recognition positions them as a promising contributor to socially intelligent robotics, with implications for healthcare, companionship, and human-centered AI.
Research Focus
Key Achievements
Top Papers
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