Towards a Hybrid BCI Gaming Paradigm Based on Motor Imagery and SSVEP
Author:
Affiliation:
1. College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, P.R. China
2. National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, P.R. China
Funder
National Basic Research Program
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics
Link
https://www.tandfonline.com/doi/pdf/10.1080/10447318.2018.1445068
Reference36 articles.
1. Toward a hybrid brain–computer interface based on imagined movement and visual attention
2. Toward smarter BCIs: extending BCIs through hybridization and intelligent control
3. Motor imagery based brain–computer interfaces: An emerging technology to rehabilitate motor deficits
4. A high performance sensorimotor beta rhythm-based brain–computer interface associated with human natural motor behavior
5. A differential evolution based energy trajectory planner for artificial limb control using motor imagery EEG signal
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