Beschreibung:
Brain-computer interface (BCI) technology provides a means of communication that allows individuals with severely impaired movement to communicate with assistive devices using the electroencephalogram (EEG) or other brain signals. The practicality of a BCI has been possible due to advances in multi-disciplinary areas of research related to cognitive neuroscience, brain-imaging techniques and human-computer interfaces. However, two major challenges remain in making BCI for assistive robotics practical for day-to-day use: the inherent lower bandwidth of BCI, and how to best handle the unknown embedded noise within the raw EEG.
Part 1: Introduction Part 2: Interfacing Brain and Machine Part 3: Fundamentals of Recurrent Quantum Neural Network Part 4: The Proposed GUI Part 5: RQNN Based EEG Enhancement Part 6: GUI and Robot Operation Part 7: Conclusion