An implementation of electroencephalogram signals acquisition to control manipulator through brain computer interface
Brain computer interface (BCI) technology can be used to design a robotic arm whose decision would be based on the brain activity and brain signals. This proposed design can be more beneficial for the paralyzed people and the patients who are suffering from Amyotrophic lateral sclerosis (ALS), Locke...
Saved in:
Main Authors: | Khan, Talha Ahmed, Mazliham, MS., Alam, Muhammad, Shaikh, Faraz Ahmed, Abdul Kadir, Kushsairy, Ahmed, Syed Faiz, Khan, Sheroz, Shahid, Zeeshan |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2019
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/82310/1/82310_An%20implementation%20of%20electroencephalogram.pdf http://irep.iium.edu.my/82310/2/82310_An%20implementation%20of%20electroencephalogram_SCOPUS.pdf http://irep.iium.edu.my/82310/ https://ieeexplore.ieee.org/document/9074722 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Power prediction mode technique for Hill Climbing Search algorithm to reach the maximum power point tracking
by: Badawi, Ahmed Samir, et al.
Published: (2021) -
Data bank: nine numerical methods for determining the parameters of weibull for wind energy generation tested by five statistical tools
by: Badawi, Ahmed Samir, et al.
Published: (2021) -
Smart Microgrid approach for Distributed power generation of renewable energy
by: Khushi, Farha, et al.
Published: (2021) -
Effect of temperature gradient on crack initiation
by: Homma, H., et al.
Published: (1995) -
Fracture toughness of materials subjected to a temperature gradient
by: Shah, Qasim Hussain, et al.
Published: (1994)