-
Article
Open AccessMultimodal fusion for anticipating human decision performance
Anticipating human decisions while performing complex tasks remains a formidable challenge. This study proposes a multimodal machine-learning approach that leverages image features and electroencephalography (...
-
Chapter and Conference Paper
Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering
Canonical Correlation Analysis (CCA) has been widely used in Steady-State Visually Evoked Potential (SSVEP) analysis, but there are still challenges in this research area, specifically regarding data quality a...
-
Article
Design and verification of a wearable wireless 64-channel high-resolution EEG acquisition system with wi-fi transmission
Brain–computer interfaces (BCIs) allow communication between the brain and the external world. This type of technology has been extensively studied. However, BCI instruments with high signal quality are typica...
-
Article
Open AccessRecognition of multi-cognitive tasks from EEG signals using EMD methods
Mental task classification (MTC), based on the electroencephalography (EEG) signals is a demanding brain–computer interface (BCI). It is independent of all types of muscular activity. MTC-based BCI systems are...
-
Chapter
Integrated Sensing Devices for Brain-Computer Interfaces
Brain-computer interfaces (BCI) help users to interact with machines via brain activity and without the use of muscles. Among the many components of BCI frameworks, sensor technology helps to make the systems ...
-
Reference Work Entry In depth
Content Augmentation in Virtual Reality with Cognitive-Conflict-Based Brain-Computer Interface
In recent years, virtual reality (VR) has become a mature technology with the capability to deliver higher levels of immersion and presence to users. Besides, it has been widely adopted to design and develop a...
-
Article
Open AccessSpatial-temporal attention-based convolutional network with text and numerical information for stock price prediction
In the financial market, the stock price prediction is a challenging task which is influenced by many factors. These factors include economic change, politics and global events that are usually recorded in tex...
-
Article
Open AccessRedesigning navigational aids using virtual global landmarks to improve spatial knowledge retrieval
Although beacon- and map-based spatial strategies are the default strategies for navigation activities, today’s navigational aids mostly follow a beacon-based design where one is provided with turn-by-turn ins...
-
Article
Open AccessUsing virtual global landmark to improve incidental spatial learning
To reduce the decline of spatial cognitive skills caused by the increasing use of automated GPS navigation, the virtual global landmark (VGL) system is proposed to help people naturally improve their sense of ...
-
Chapter and Conference Paper
Human-Autonomous Teaming Framework Based on Trust Modelling
With the development of intelligent technology, autonomous agents are no longer just simple tools; they have gradually become our partners. This paper presents a trust-based human-autonomous teaming (HAT) fram...
-
Article
Open AccessHuman brain dynamics in active spatial navigation
Spatial navigation is a complex cognitive process based on multiple senses that are integrated and processed by a wide network of brain areas. Previous studies have revealed the retrosplenial complex (RSC) to ...
-
Article
A novel online self-learning system with automatic object detection model for multimedia applications
This paper proposes a novel online self-learning detection system for different types of objects. It allows users to random select detection target, generating an initial detection model by selecting a small p...
-
Article
A robust real-time facial alignment system with facial landmarks detection and rectification for multimedia applications
Face detection often plays the first step in various visual applications. Large variants of facial deformations due to head movements and facial expression make it difficult to identify appropriate face region...
-
Chapter and Conference Paper
Text-line-up: Don’t Worry About the Caret
In a freestyle handwritten text-line, sometimes words are inserted using a caret symbol ( \(^\wedge \) ...
-
Living Reference Work Entry In depth
Content Augmentation in Virtual Reality with Cognitive-Conflict-Based Brain-Computer Interface
In recent years, virtual reality (VR) has become a mature technology with the capability to deliver higher levels of immersion and presence to users. Besides, it has been widely adopted to design and develop a...
-
Article
EEG data analysis with stacked differentiable neural computers
Differentiable neural computer (DNC) has demonstrated remarkable capabilities in solving complex problems. In this paper, we propose to stack an enhanced version of differentiable neural computer together to e...
-
Article
An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making
Multicriteria decision-making process explicitly evaluates multiple conflicting criteria in decision making. The conventional decision-making approaches assumed that each agent is independent, but the reality ...
-
Article
Open AccessQuantum topology identification with deep neural networks and quantum walks
Topologically ordered materials may serve as a platform for new quantum technologies, such as fault-tolerant quantum computers. To fulfil this promise, efficient and general methods are needed to discover and ...
-
Article
Open AccessMulti-channel EEG recordings during a sustained-attention driving task
We describe driver behaviour and brain dynamics acquired from a 90-minute sustained-attention task in an immersive driving simulator. The data included 62 sessions of 32-channel electroencephalography (EEG) da...
-
Chapter and Conference Paper
White-Box Target Attack for EEG-Based BCI Regression Problems
Machine learning has achieved great success in many applications, including electroencephalogram (EEG) based brain-computer interfaces (BCIs). Unfortunately, many machine learning models are vulnerable to adve...
