R Anand

Sri Sivasubramaniya Nadar College of Engineering, Amrita Vishwa Vidyapeetham

Papers

Total Citations

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About

R Anand is a researcher at the forefront of affective computing and rehabilitation robotics, with a focus on making human-machine interaction more intuitive and accessible. His work centers on two key areas: emotion recognition and cost-effective biomedical signal processing. In his 2021 study on bimodal emotion recognition, Anand demonstrated how integrating multiple physiological signals can significantly improve the accuracy of detecting human emotions, a critical advancement for human-robot and human-computer interactions. This foundational work has garnered 3 citations and laid the groundwork for more empathetic AI systems. More recently, in 2024, Anand published a pioneering study on single-channel EMG signal acquisition, showing that machine learning can classify muscle signals with high accuracy using far fewer sensors than traditional methods. This breakthrough, with 2 citations already, promises to dramatically reduce the cost and complexity of myoelectric prosthetics and rehabilitation systems, making advanced assistive technology more accessible. Anand’s research is notable for its practical, cost-conscious approach to solving real-world problems in healthcare and robotics, bridging the gap between cutting-edge machine learning and affordable, deployable solutions.