Introducing a high-accuracy brain-computer interface (BCI) for intelligent wheelchairs-Reference-Cited by-同舟云学术

Introducing a high-accuracy brain-computer interface (BCI) for intelligent wheelchairs

Published:2023-11-06 Issue: Volume:2019 Page:583-587
ISSN:
Container-title:Proceedings of the International Conference on Advances in Social Networks Analysis and Mining
language:
Short-container-title:

Author:

Amvazas Nick¹^ORCID,Moschopoulos Spyridon²^ORCID,Koritsoglou Kyriakos¹^ORCID,Tatsis Giorgos²^ORCID,Fudos Ioannis¹^ORCID,Tzovaras Dimitrios³^ORCID

Affiliation:

1. Computer Science and Engineering Department, University of Ioannina, Ioannina, Greece

2. Information Technologies Institute, Centre for Research & Technology Hellas, Ioannina, Greece

3. Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece

Funder

Operational Program Competitiveness, Entrepreneurship and Innovation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625007.3627480

Reference12 articles.

1. W. Zgallai, J. T. Brown, A. Ibrahim, F. Mahmood, K. Mohammad, M. Khalfan, M. Mohammed, M. Salem, and N. Hamood, "Deep learning ai application to an eeg driven bci smart wheelchair," in 2019 Advances in Science and Engineering Technology International Conferences (ASET), 2019, pp. 1--5.

2. O. R. Pinheiro, L. R. G. Alves, M. F. M. Romero, and J. R. de Souza, "Wheelchair simulator game for training people with severe disabilities," in 2016 1st International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW), 2016, pp. 1--8.

3. N. Jamil, A. N. Belkacem, S. Ouhbi, and A. Lakas, "Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain-computer interfaces: A systematic literature review," Sensors, vol. 21, no. 14, 2021.

4. A deep evolutionary approach to bioinspired classifier optimisation for brain-machine interaction;Bird J.;Complexity,2019

5. A study on multi-class anxiety detection using wearable eeg headband;Arsalan A.;Journal of Ambient Intelligence and Humanized Computing,2021