Asynchronous Motor Imagery BCI and LiDAR-Based Shared Control System for Intuitive Wheelchair Navigation
Author:
Affiliation:
1. Korea Advanced Institute of Science and Technology, Information and Electronics Research Institute, Daejeon, South Korea
2. School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Funder
Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10183770/10144535.pdf?arnumber=10144535
Reference36 articles.
1. Indoor Simulated Training Environment for Brain-Controlled Wheelchair Based on Steady-State Visual Evoked Potentials
2. Motor imagery and mental fatigue: inter-relationship and EEG based estimation
3. Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials
4. Driver Fatigue Detection Through Chaotic Entropy Analysis of Cortical Sources Obtained From Scalp EEG Signals
5. A Self-Paced BCI With a Collaborative Controller for Highly Reliable Wheelchair Driving: Experimental Tests With Physically Disabled Individuals
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