Acurracy comparison of CCA and FBCCA algorithms.

Acurracy comparison of CCA and FBCCA algorithms.

<div><p>Over the years, the driver-vehicle interface has been improved, but interacting with in-vehicle features can still increase distraction and affect road safety. This study aims to introduce brain-machine interface (BMI)- based solution to potentially enhance road safety. To achiev...

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Bibliographic Details
Main Author: Hossein Hamidi Shishavan (19688384) (author)
Other Authors: Raheli Roy (19688387) (author), Kia Golzari (19688390) (author), Abhishek Singla (19688393) (author), David Zalozhin (19688396) (author), Danny Lohan (19688399) (author), Muhamed Farooq (19688402) (author), Ercan M. Dede (14412519) (author), Insoo Kim (6470444) (author)
Published: 2024
Subjects:
Neuroscience
Biotechnology
Mental Health
Biological Sciences not elsewhere classified
still increase distraction
experimental results suggest
canonical correlation analysis
based bmi system
affect road safety
50 %, presented
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2 </ sup
vehicle interface
vehicle functions
vehicle features
study aims
stimulus properties
psda ).
primary screen
noise ratio
machine interface
lcd monitor
introduce brain
fbcca ),
duty cycle
array configuration
analyzed using
also observed
36 cm
10 volunteers
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