A. Viji Amutha Mary
Papers
2
Total Citations
11
H-Index
2
About
A. Viji Amutha Mary is a researcher at the forefront of human-computer interaction and intelligent systems, whose work bridges the gap between emotional AI and accessible robotics. Her primary research areas include speech emotion recognition, machine learning, and cost-effective robotic automation. In her highly cited 2023 work, "Human Emotion Recognition by Audio Signals using MLP Classifier," she advanced the field of affective computing by demonstrating how multilayer perceptron classifiers can reliably decode human emotions from speech—a capability with transformative potential for contact centers, banking, and human-robot communication. This paper, garnering 8 citations, highlights her impact on the growing domain of emotion-aware technology. Earlier, in 2019, she contributed to practical robotics with "Cost Effective Robotic System Using Arduino," which integrated inverse kinematics and AI-based object tracking to create an affordable pick-and-place robotic arm. This work underscores her commitment to democratizing robotics through low-cost, intelligent solutions. By combining emotional intelligence with accessible hardware, Viji Amutha Mary is shaping a future where machines not only understand our commands but also our feelings.
Research Focus
Key Achievements
Top Papers
- 1Human Emotion Recognition by Audio Signals using MLP Classifier8 citations · 2023
- 2Cost Effective Robotic System Using Arduino3 citations · 2019