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January 1, 2018IEEE AccessOpen Access

A Wearable SSVEP-Based BCI System for Quadcopter Control Using Head-Mounted Device

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Key result

Wearable SSVEP-based BCI enables accurate and smooth 3-D quadcopter flight in physical environments.

Why the study?

Restoring interaction between disabled people and the 3-D physical world via a brain-computer interface is an important and developing area requiring practical and portable solutions.

Population

Subjects testing the wearable SSVEP-based BCI system

Comparison

Wearable SSVEP-based BCI system with head-mounted device for quadcopter control vs no comparator

Design

Experimental study of a wearable asynchronous SSVEP-based BCI system

Authors

MWMeng WangRLRenjie LiRZRuofan Zhang

Discussion

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Overview

Supports wearable BCI exploration for real-world tasks; leaves open prospective validation before clinical translation.

Structured PICO

P
Population
Subjects testing the BCI system
I
Intervention
Wearable SSVEP-based BCI system with head-mounted device for quadcopter control
O
Outcome
Ability to accomplish 3-D flight tasks accurately and smoothly

Demonstrates the feasibility of using a head-mounted device and SSVEP-based BCI for 3-D quadcopter navigation.

Cite This Study

Wang et al. (2018) studied this question. Wearable SSVEP-based BCI system with head-mounted device was evaluated on 3-D flight tasks accuracy and smoothness. A wearable SSVEP-based BCI system with a head-mounted device enabled subjects to accomplish 3-D quadcopter flight tasks accurately and smoothly in a physical environment.

synapsesocial.com/papers/6aaa0ad3fbc95045e8f6ab0ehttps://doi.org/10.1109/access.2018.2825378
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain–computer interface2013 · 594 citations
  2. 2Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving2007 · 133 citations
  3. 3Enhancing performances of SSVEP-based brain–computer interfaces via exploiting inter-subject information2015 · 145 citations
  4. 4FREQUENCY RECOGNITION IN SSVEP-BASED BCI USING MULTISET CANONICAL CORRELATION ANALYSIS2013 · 355 citations
  5. 5Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI2016 · 53 citations