2026-04-30T18:45:17Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/69252025-03-27T07:15:31Zcom_20.500.11984_1143col_20.500.11984_1148

Comparison of Motor Imagery Brain Computer Interfaces and Validation with the OpenBCI EEG Electrode Cap Jordan, Isaac J. C. Metcalfe, Benjamin Ruiz Garate, Virginia Withey, Dan 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. 2025-03-26T11:51:06Z 2025-03-26T11:51:06Z 2025 http://purl.org/coar/resource_type/c_c94f 978-3-031-77588-8 2195-3570 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=180321 https://hdl.handle.net/20.500.11984/6925 eng © 2025 Springer Springer Nature