Alexandra Degeest
Papers
2
Total Citations
60
H-Index
2
About
Alexandra Degeest is a leading researcher in assistive robotics and brain-computer interfaces (BCIs), with a focus on enhancing mobility for elderly and disabled individuals. Her work centers on developing intelligent control systems for electric wheelchairs, combining shared-control architectures with non-invasive neural interfaces. In her highly cited 2006 paper (48 citations), Degeest pioneered Bayesian estimation techniques to model wheelchair driver intents as geometric paths, enabling robotic platforms to anticipate and assist with user maneuvers—a significant advance over earlier heuristic-based systems. She further demonstrated the feasibility of mental control in a simulated wheelchair using band power features from EEG signals, achieving offline navigation along a corridor (12 citations). This work laid groundwork for integrating shared-control intelligence with BCI, reducing user cognitive load while improving safety and autonomy. Degeest’s contributions are notable for bridging probabilistic modeling and neural engineering, offering practical pathways toward more responsive, user-centered assistive technologies. Her research continues to influence the design of intelligent wheelchairs that adapt to individual driver intentions.
Research Focus
Key Achievements
Top Papers
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