Krishna Asawa
Papers
2
Total Citations
9
H-Index
2
About
Krishna Asawa is a researcher at the forefront of human-computer interaction and affective computing, with a specialized focus on multi-sensor information fusion and brain-computer interfaces (BCIs). Her work addresses the critical challenge of enabling machines to interpret complex human states, particularly through the integration of physiological and emotional signals. Asawa’s major contributions include developing a novel technique for recognizing emotions via energy-based bimodal information fusion and correlation, a method that underpins advancements in intelligent robotic control, sensor networks, and video processing. She also pioneered a BCI system that uses Emotiv sensors to navigate a microcontroller-driven robot, establishing a five-stage pipeline from signal acquisition to CUDA-based interfacing. This work provides a foundational prototype for physical mobility assistance, demonstrating the practical application of neural signals in assistive technology. While her most-cited papers have garnered 5 and 4 citations respectively, their impact lies in laying the groundwork for more intuitive, responsive human-machine systems. Asawa’s research bridges the gap between raw sensor data and meaningful machine interpretation, offering a compelling vision for the future of empathetic and accessible technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2