Machine learning of fNIRS and biosignals in passive brain–computer-interfaces

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Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu | Bachelor's thesis
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Date
2017-05-05
Department
Major/Subject
Bioinformaatioteknologia
Mcode
ELEC3016
Degree programme
Sähkötekniikan kandidaattiohjelma
Language
en
Pages
34
Series
Description
Supervisor
Turunen, Markus
Thesis advisor
Remes, Sami
Keywords
functional near-infrared spectroscopy (fNIRS), biosignals, machine learning, brain–computer interface (BCI), cognitive workload, stress
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Citation