Haritha Srinivasan
Papers
1
Total Citations
14
H-Index
1
About
Haritha Srinivasan is a researcher whose work lies at the intersection of haptic technology, biomedical signal processing, and human-robot interaction. Her most-cited paper, "Estimation of hand force from surface Electromyography signals using Artificial Neural Network" (2012, 14 citations), introduces a novel method for translating muscle activity into force estimation—a critical advance for applications ranging from rehabilitation robotics and telepresence surgery to virtual reality and gaming. By leveraging artificial neural networks, Srinivasan’s approach enables more intuitive and responsive control in haptic systems, directly enhancing the realism and utility of human-machine interfaces. Her contributions are particularly impactful in fields requiring precise force feedback, such as prosthetic development and surgical training. With a focus on bridging biological signals and mechanical systems, Srinivasan’s work has laid foundational groundwork for more adaptive and naturalistic interaction technologies. Her research continues to inspire innovations in assistive robotics and immersive virtual environments, making her a notable figure in the growing domain of haptic and neural interface engineering.
Research Focus
Key Achievements
Top Papers
- 1