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Title
Comparison of Motor Imagery Brain Computer Interfaces and Validation with the OpenBCI EEG Electrode CapPublication Date
2025Version
PostprintDocument type
Conference ObjectConference ObjectLanguage
engRights
© 2025 SpringerAccess
Embargoed accessEmbargo end date
2026-02-28Publisher’s version
https://doi.org/10.1007/978-3-031-77588-8_136Published at
International Conference on Neurorehabilitation (ICNR) 6. La Granja (España), 2024Publisher
Springer NatureAbstract
People with Tetraplegia will typically require costly, round-the-clock care over the course of their lives due to lack of motor function. Brain computer interfaces (BCIs) are capable of identifying im ... [+]
People with Tetraplegia will typically require costly, round-the-clock care over the course of their lives due to lack of motor function. Brain computer interfaces (BCIs) are capable of identifying imagined motor intention for individual limbs; however, high-cost electroencephalography (EEG) devices are typically used. In this paper, a comparison of 4 published motor imagery (MI) BCIs is undertaken. BCI Competition IV Dataset 2b is used to benchmark the four and the relatively low-cost OpenBCI EEG cap is then used with each, in a custom experiment. Results obtained from the OpenBCI EEG cap suggest that it is suitable for MI tasks, though this should be confirmed with a larger sample. Also, 2 of the 4 MI BCI’s stand out for decoding accuracy, though all performed well. [-]
