Average ca for HT-based features extracted from 2.4-second time segments using classification methods.

<p>Average ca for HT-based features extracted from 2.4-second time segments using classification methods.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ebru Ergün (21395498) (author)
مؤلفون آخرون:	Önder Aydemir (22615122) (author), Onur Erdem Korkmaz (12407485) (author)
منشور في:	2025
الموضوعات:	Neuroscience Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified receiving sensory feedback proposed approach achieved nearest neighbor algorithm four different directions enables direct communication discrete temporal windows cognitive task involving optimize system accuracy existing bci systems div >< p hybrid bci systems present study introduces hybrid modalities signals within send commands scrolling text prosthetic limbs promising direction primary objective performed via novel paradigm motivated researchers innovative paradigm infrared spectroscopy hilbert transform extracted using external devices computer interface classification accuracy class tasks also validates
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