Khalid Allehaibi
Papers
1
Total Citations
3
H-Index
1
About
Khalid Allehaibi is a researcher whose work sits at the intersection of brain-computer interfaces (BCIs) and human-robot interaction. His primary research areas include emotion recognition from EEG signals, facial expression analysis, and the development of intuitive control systems for social robots. One of his most notable contributions is the study of how human emotional states, detected via EEG-based brainwave analysis, can be used to control a NAO robot’s facial expressions—creating a profound, real-time feedback loop between human and machine. This work, which has garnered 3 citations, demonstrates a novel application of time-frequency analysis for decoding emotional intent from neural data. By bridging cognitive neuroscience with robotics, Allehaibi’s research opens pathways for more empathetic and responsive assistive technologies. His contributions are particularly relevant for students and researchers exploring non-invasive BCI applications in human-robot interaction, offering a compelling glimpse into how our own brain signals might one day seamlessly guide the machines around us.
Research Focus
Key Achievements
Top Papers
- 1