Papers
2
Total Citations
29
H-Index
2
About
Dr. Dipali Bansal is a leading researcher in biomedical signal processing and neural engineering, with a primary focus on developing non-invasive brain-computer interfaces (BCI) for assistive technology. Her work centers on translating real-time electroencephalography (EEG) signals into practical control systems, particularly for physically challenged individuals. Dr. Bansal’s most cited paper, "EEG-Based Brain-Computer Interfacing (BCI)" (2019), has garnered 26 citations, establishing foundational methodologies for neural-controlled systems. Her notable contribution, "Real-time man-machine interface and control using deliberate eye blink" (2015), demonstrates a novel approach to human-machine interaction by leveraging deliberate eye blink patterns for real-time control, addressing the growing demand for intuitive assistive technologies. This work exemplifies her ability to bridge theoretical signal processing with practical applications, enabling users to operate devices through intentional neural activity. Dr. Bansal’s research has significant implications for improving quality of life for individuals with motor impairments, while also enhancing performance for healthy users. Her contributions to EEG-based BCI systems continue to influence the development of accessible, real-time neural interfaces, positioning her as a key figure in the advancement of human-machine interaction technologies.
Research Focus
Key Achievements
Top Papers
- 1EEG-Based Brain-Computer Interfacing (BCI)26 citations · 2019
- 2Real-time man-machine interface and control using deliberate eye blink3 citations · 2015