Informative transfer by active learning for calibration time reduction of brain computer interface

Hossain, Ibrahim 2018, Informative transfer by active learning for calibration time reduction of brain computer interface, Ph.D thesis, Institute for Intelligent Systems Research and Innovation, Deakin University.

Attached Files
Name Description MIMEType Size Downloads

Title Informative transfer by active learning for calibration time reduction of brain computer interface
Author Hossain, Ibrahim
Institution Deakin University
School Institute for Intelligent Systems Research and Innovation
Degree type Research doctorate
Degree name Ph.D
Thesis advisor Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Date submitted 2018-09-06
Summary The outcomes of this research significantly shorten the long calibration time for brain-computer interface system. Hence, the system can be used for a new user with the lower amount of time for calibration data collection. It makes the system more practically feasible for the patient with the neural disease.
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
090609 Signal Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
Description of original 133 p.
Restricted until 2021-09-03
Copyright notice ┬ęThe author
Persistent URL http://hdl.handle.net/10536/DRO/DU:30114172

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 23 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Tue, 09 Oct 2018, 12:44:47 EST by Bayne Christine

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.