Papers
2
Total Citations
63
H-Index
2
About
Dr. Neha Hooda is a pioneering researcher at the intersection of neural engineering and rehabilitation robotics, whose work focuses on decoding human intent from multimodal physiological signals. Her most influential contribution, "Fusion of EEG and EMG signals for classification of unilateral foot movements" (2020, 61 citations), introduced a novel framework that synergistically combines electroencephalography and electromyography data to achieve high-accuracy classification of lower-limb motor intentions. This breakthrough holds transformative potential for brain-computer interfaces (BCIs) and assistive technologies, particularly for individuals with motor impairments. In parallel, her study "Cognitive Control of Robotic-Rehabilitation Device Using Emotiv EEG Headset" (2020) demonstrated the feasibility of using consumer-grade EEG headsets to command robotic rehabilitation systems, paving the way for affordable, home-based neurorehabilitation. By bridging neural signal processing with practical robotic control, Dr. Hooda’s work addresses critical challenges in real-time BCI reliability and user accessibility. Her research not only advances fundamental understanding of sensor fusion but also accelerates the development of next-generation prosthetic and rehabilitation devices, making her a rising voice in the fields of neural engineering and human-machine interaction.
Research Focus
Key Achievements
Top Papers
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