Adaptive BCI-controller for dynamic systems
This thesis introduces a new approach to design an adaptive proportional controller for dynamic systems controlled by Brain Computer Interfaces (BCIs). Brain-controlled robots are being developed to help people with severe disabilities in their daily lives. The majority of work in this field conside...
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Online Access: | http://hdl.handle.net/2047/D20194557 |
Summary: | This thesis introduces a new approach to design an adaptive proportional controller for dynamic systems controlled by Brain Computer Interfaces (BCIs). Brain-controlled robots are being developed to help people with severe disabilities in their daily lives. The majority of work in this field considers the BCI output as a discrete value that represents the user decision or intent. In these studies the reaction of the dynamic system being controlled to user decisions estimated
with different levels of confidence is the same. Therefore user mistakes or misclassification errors impact overall system behavior considerably. |
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