Development of Brain Computer Interface (BCI) based control algorithm for master-slave configuration /
Aim of this project is to apply algorithms to classify and spectral estimation of arm and wrist generated EEG signals. Accuracy of angular movement depending on brain generated signal is very poor. In order to achieve higher accuracy multiple imaginary body part movement used. This project used a da...
Saved in:
Main Author: | Ahmed, Sayem (Author) |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2018
|
Subjects: | |
Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced techniques for classification of multi-channel EEG signals for brain computer interface /
by: Hasan, Mohammad Rubaiyat
Published: (2015) -
Haptic Interface For A Master Slave Robotic Gripper
by: Tay , Tee Tiong
Published: (2008) -
Development of prosthetic hand for a brain-computer interface (BCI) system /
by: Shuhaida Yahud
Published: (2007) -
Human emotion recognition using multimodal psychophysiological signals /
by: Khairun Nisa' Mihat(Minhad) -
Development of Brain Computer Interface (BCI) system for integration with Functional Electrical Stimulation (FES) application
by: Ahad, Rosnee
Published: (2015)