Studies to Overcome Brain–Computer Interface Challenges
A brain–computer interface (BCI) is a promising technology that can analyze brain signals and control a robot or computer according to a user’s intention. This paper introduces our studies to overcome the challenges of using BCIs in daily life. There are several methods to implement BCIs, such as se...
Main Authors: | Woo-Sung Choi, Hong-Gi Yeom |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/5/2598 |
Similar Items
-
Optimal Stimulus Properties for Steady-State Visually Evoked Potential Brain–Computer Interfaces: A Scoping Review
by: Clemens Reitelbach, et al.
Published: (2024-01-01) -
An Open Dataset for Wearable SSVEP-Based Brain-Computer Interfaces
by: Fangkun Zhu, et al.
Published: (2021-02-01) -
A Novel Hybrid Mental Spelling Application Based on Eye Tracking and SSVEP-Based BCI
by: Piotr Stawicki, et al.
Published: (2017-04-01) -
Comparing Steady-State Visually Evoked Potentials Frequency Estimation Methods in Brain-Computer Interface With the Minimum Number of EEG Channels
by: Mehrnoosh Neghabi, et al.
Published: (2019-05-01) -
EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
by: Ioulietta Lazarou, et al.
Published: (2018-01-01)