research
∙
05/14/2023
Using EEG Signals to Assess Workload during Memory Retrieval in a Real-world Scenario
Objective: The Electroencephalogram (EEG) is gaining popularity as a phy...
share
research
∙
11/19/2021
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
Electroencephalography (EEG) signals are often contaminated with artifac...
research
∙
02/10/2021
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning
Objective: This study aims to establish a generalized transfer-learning ...
research
∙
10/30/2020
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
Research and development of electroencephalogram (EEG) based brain-compu...
research
∙
09/30/2020
A Virtual Reality Game as a Tool to Assess Physiological Correlations of Stress
The objective of this study is to develop and use a virtual reality game...
research
∙
01/30/2020
Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything
An electroencephalogram (EEG) based brain-computer interface (BCI) spell...
research
∙
01/28/2020
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Brain-Computer Interface (BCI) is a powerful communication tool between ...
research
∙
11/11/2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
Electroencephalography (EEG) data are difficult to obtain due to complex...
research
∙
05/16/2019
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
In recent years, the use of bio-sensing signals such as electroencephalo...
research
∙
10/05/2018
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces
Steady-state visual evoked potential (SSVEP)-based brain computer-interf...
research
∙
10/05/2018
Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces
Steady-state visual evoked potential (SSVEP)-based brain computer-interf...
research
∙
10/05/2018
Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interface
Steady state visual evoked potential (SSVEP)-based brain computer interf...
research
∙
04/25/2018
Multi-modal Approach for Affective Computing
Throughout the past decade, many studies have classified human emotions ...
research
∙
02/22/2018
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research
We present a novel multi-modal bio-sensing platform capable of integrati...
research
∙
04/21/2014
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals
Energy consumption is an important issue in continuous wireless telemoni...
research
∙
11/15/2013
Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities
As a lossy compression framework, compressed sensing has drawn much atte...
research
∙
05/07/2012