Development of an Online Home Appliance Control System Using Augmented Reality and an SSVEP-Based Brain–Computer Interface
In this study, we implemented a new home appliance control system by combining electroencephalography (EEG)-based brain-computer interface (BCI), augmented reality (AR), and internet of things (IoT) technologies. We adopted a steady-state visual evoked potential (SSVEP)-based BCI paradigm for the im...
Main Authors: | Seonghun Park, Ho-Seung Cha, Chang-Hwan Im |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8895732/ |
Similar Items
-
SSVEP Stimulus Layout Effect on Accuracy of Brain-Computer Interfaces in Augmented Reality Glasses
by: Xincan Zhao, et al.
Published: (2020-01-01) -
Bio-Inspired Filter Banks for Frequency Recognition of SSVEP-Based Brain–Computer Interfaces
by: Ali Fatih Demir, et al.
Published: (2019-01-01) -
Comparison of Different Visual Feedback Methods for SSVEP-Based BCIs
by: Mihaly Benda, et al.
Published: (2020-04-01) -
A dataset of EEG signals from a single-channel SSVEP-based brain computer interface
by: Giovanni Acampora, et al.
Published: (2021-04-01) -
High-resolution SSVEP-based brain–computer interface
by: Shuailei Zhang, et al.
Published: (2019-10-01)