研究论文集

supernumerary robotic finger, resting-state fMRI, fALFF, ReHo, DC, neuroplasticity

Brain-Computer Interface. Generative Art. Algorithmic Fairness. Art therapy. Disability Aesthetics.

Emotion recognition, Multimodal physiological responses, Remote measurement, Electroencephalography

Brain-computer interface, Motor imagery, Lower-limb rehabilitation, Robotic rehabilitation

EEG, Deep Learning, Conv1D-GRU, Recogonition of idea, Robotic hand

Wireless communication, Wireless sensor network, Force measurement, Sensor systems, Electromyography, Electroencephalography, sensors, HRI, EEG, EMG, IMU, Time Synchronization MeSH Terms, Acceleration, Humans, Motion

Sleep, Music, Medical treatment, Mobile communication, Control systems, EEG, brain wave, accelerometer, music system, smart system

Emotion Recognition, Brain-Computer Interface, Electroencephalography, On-line Processing

P300 wave, electroencephalography, convolutional neural networks, brain-computer interface

Electrodes, surface impedance, protocols, costs, prototypes, muscles, electromyography,

Electrodes, brain, wires, epilepsy, electroencephalography, synchronization, biomedical monitoring, biomedical electrodes, brain activities, epilepsy, in-ear electrodes, wearable system, wireless, long term monitoring, mobile application

Fabrication, Sociology, Hardware, Electromyography, Iterative methods, Statistics, Robots, Trans-radial, prosthesis, needs, iterative, myoelectric

Neuromuscular, Wheelchairs, Prototypes, Brain-computer interfaces, Electroencephalography, Software, Real-time systems, Brain-computer interface (BCI), steady state visually evoked potential (SSVEP), electroencephalogram (EEG) and Wheelchair

Timing; Time perception; Mindfulness; Meditation; Mantra; EEG; Focused Attention; Open Monitoring; Attentional Scope; Attention

Action potential, brain-computer interface, brain wave, central nervous system, electroencephalography data

Auditory stimulus, Evoked Potentials, EEG, Biometric System, Bone-conducting auditory stimuli, Music

Gastric pacing, Gastric pacemaker, Wireless electrical stimulation, Wireless pacing, Electrogastrogram, Electrogastrography, Gastroparesis

Underwater, Scuba diving, ECG, Heart Rate, Variability

EEG, Gamma Oscillations, OpenBCI

Human-Machine Interface, Brain, Electroencephalography, Brain-Computer Interface

Physiology, Sensors, Emotion recognition, Biomedical monitoring, Electroencephalography, Brain modeling, Feature extraction, Affective causality, daily activities, EEG, emotion recognition, lifelog, physiological signals, wearable

neonatal EEG; EEG electrode; dry electrode; MicroTIPs; microneedles; g.tec; OpenBCI

VR, EEG, HMD, Theta wave, Tetris, Cognitive training

Support vector machines, Performance evaluation, Brain, Visualization, Time series analysis, Scalp, Electroencephalography, Artificial Neural Networks, Brain-Computer Interfaces.

Aeronautis, EOG, Aviation, Military, Oculometry

Brain-Computer Interfaces, Privacy, P300, Visual Stimuli

Seminars, Systematics, Clustering methods, Statistical distributions, Stroke (medical condition), Tools, Electroencephalography

EEG; cognitive performance; education; neuroengineering; machine learning

Face Synthesis, Wearables, Face Gesture Sensing, Biosensing, Human-Computer Interaction, Interactive Virtual Reality

Drowsiness detection, Electroencephalographic (EEG), Convolution neural network (CNN)

Covert attention, Overt attention, Spatial attention, Steady-state visual evoked potential, Rapid serial visual presentation, EEG

Bionic arm, Prosthetic arm, Brain-Computer-Interface, EEG controlled arm and Electroencephalography

water temperature; bathing; ECG; heart rate variability; quantitative analysis; t-test

EEG signals?User eXperience?Brain-computer interfaces?Ubiquitous computing?

Heart rate variability, Electrocardiography, Cyton board, Open source, Validity, Reliability

EOG signals, OpenBCI, Blink detection

Electroencephalography, Wavelet transform, LSTM

Anxiety, EEG, reading, scientific article, sLORETA

Industrial human-robot collaboration, Brain-computer interface, Augmented reality, Interactive robotic path planning

brain-computing interface, SSVEP- related brain signals, electrocardigraphic signals, alpha waves, p300

Customer Behavior, Emotions, NeuroMarketing, Electroencephalogra

brain–computer interface; brain connectivity; lower limb rehabilitation; motor sensory rhythms; pedaling

brain–computer interface,ear-EEG,speech imagery,multilayer extreme learning machine

Mathematical model , Electrooculography , Computational modeling , Muscles , Biological system modeling , Biomedical measurement , Adaptation models Author Keywords Electrooculography , Adaptive filters , Biosignals , Saccades , Eye models , Human computer interactions

Entertainment industry, Games, Tools, Electroencephalography, Real-time systems, Brain-computer interfaces, Reliability, Blink, Brain–computer interface (BCI), EEG, OpenBCI, game design, gameplay

exoskeleton, surface electromyography, hand motion recognition, bilateral training

magnetoencephalography (MEG), visually evoked brain fields (VEF), superconducting quantum interference device (SQUID), OPM

eeg, ceegrid, concealed, ear, in-ear, mobile EEG, open source

electroencephalography, mobile EEG device, speech detection, feed-forward neural network, visual stimuli

brain-computer interface, neural plasticity, neurorehabilitation, motor imagination, exoskeleton

Control, Electromyography, Interface, Monitoring, Muscle, Web service

Home automation; Software packages; Neurons; Psychology; Organizations; Electroencephalography; Engines; Digitization; computerization; brain waves; home automation; framework; IoT

BCI implementations , mixed reality environments , less-invasive holographic stimulus presentation , greatly enhanced portability , 3D-printable electroencephalography attachment , Microsoft HoloLens , low-energy communication , hobbyists , prototype BCIs , untethered XR environment , external compute resources , low-cost research platform , brain-computer-interface applications , steady-state-visually-evoked-potential , SSVEP , neural signals , audiovisual stimuli , exogenous BCIs , physical stimulus presentation apparatus , prolonged system setup

Electrodes , Electric potential , Visualization , Area measurement , Electric variables measurement , Electrophysiology , Brain-computer interfaces

VR-EEG, HMD, Cognitive training, E-learning

Signal Processing (eess.SP); Human-Computer Interaction (cs.HC)

Brain-computer interface, Motor imagery, Functional electrical stimulation, Central pattern generator, Gait detection, Rehabilitation training

EEG signals, OpenBCI, Thoughts detection

Visualization, Service robots, Collaboration, Tools, Brain-computer interfaces, Workstations, Steady-state

Legged locomotion, Support vector machines, Matched filters, Electric potential, Sociology, Brain modeling, Electromyography

Computers, Three-dimensional displays, Manipulators, Brain-computer interfaces, Electroencephalography, Real-time systems, Servomotors

Support vector machines, Mechatronics, Sleep, Vehicle driving, Electroencephalography, Brain-computer interfaces, Task analysis

Emotion-recognition, BCI, EEG, Machine Learning, Feature extraction

Brain–Computer Interfaces Cybersecurity Noise-based cyberattacks Data Integrity Electroencephalographic signal P300

Acoustic noise, Harmonic music intervals, Heart rate variability, Machine learning, Music

Wireless communication, Electric potential, Tools, Electroencephalography, Biosensors, Monitoring, Information systems

Mental stress Autism EEG Deep learning Breathing entrainment

Air traffic conflict Conflict resolution Geometry Gender Brain activity

Kinematics, Manipulators, Brain modeling, Electroencephalography, Convolutional neural networks, Task analysis, Intelligent systems

EEG+fNIRS in situ experiments Human behaviour in design User centred design Research methodologies and methods

Seminars, Systematics, Clustering methods, Statistical distributions, Stroke (medical condition), Tools, Electroencephalography

Electrodes, Training, Three-dimensional displays, Toy manufacturing industry, Scalp, Entertainment industry, Muscles

P300 wave, event-related potential, brain-computer interface, EEG signal processing, convolutional neural networks

Event Related Potential (ERP); classification; P300; machine-learning; oddball-paradigm

Abstract: EEG signals are an important tool for monitoring the brain activity of a person, but equipment, expertise and infrastructure are required. EEG technologies are generally expensive, thus few people are normally able to use them. However, some low-cost technologies are now available. One of these is OPENBCI, but it seems that it is yet to be widely employed in Human-Computer Interaction. In this study, we used OPENBCI technology to capture EEG signals linked to brain activity in ten subjects as they interacted with two video games: Candy Crush and Geometry Dash. The experiment aimed to capture the signals while the players interacted with the video games in several situations. The results show differences due to the absence/presence of sound; players appear to be more relaxed without sound. In addition, consistent analysis of the EEG data, meCue 2.0 and SAM data showed high consistency. The evidence demonstrates that interesting results are able to be gathered based on low-cost EEG (standard) signal-based technologies. keywords: {Games;Electroencephalography;User experience;Human computer interaction;Brain;Biomedical monitoring;Electrodes;User eXperience;player eXperience;EEG signals;video games;low-cost technologies},

mental fatigue, P300 speller, ANOVA analysis, xDAWN

Abstract: Pain is a complex subjective unpleasant experience that can potentially cause tissue damage. In clinical practice, the main method used for assessing pain is self-report; however, it is not possibly adopted in a huge number of vulnerable populations or by non-communicative patients such as those with disorders of speech and consciousness. Thus, the availability of an objective measure of the subjective pain's perception that complements the self-report pain assessments is a great significant demand in several clinical applications. The aim of this paper is to propose a novel approach to objectively quantify the subjective perception of pain. We integrated signal processing techniques and machine learning principles to learn brain signals associated with pain and classify them into one of four pain intensities (no pain, low, moderate, and high). We found that the signal processing revealed a direct correlation between Alpha frequency band power and the pain intensity, and the classifier could achieve an accuracy of 94.83%. This study provides a clue for the betterment of the collective scientific understanding of the brain's activities inflicted by the physical pain and helps in building a reliable automated prediction of pain. keywords: {Pain;Electroencephalography;Signal processing;Containers;Machine learning;Correlation;Reliability;Physical pain;alpha frequency band;signal processing;artificial neural networks},

Games, Signal processing, Brain-computer interfaces, Software, Hardware, Intelligent systems, Neurofeedback, neurofeedback, cog-car, brain computer interface, bci, eeg, attention, focus, signal processing

Humans, Graphite, Graphene, Tattooing, Eye Movements, Silver, Platinum, Gold, Electric Impedance, Temperature, Vital Signs, Electrodes, Electronics, Brain Monitoring, Ambulatory, Wearable Electronic Devices, Muscle Contraction, Tattoo

Deep learning , Performance evaluation , Tag clouds , Market research , Stability analysis , Classification algorithms , Microelectronics, Brain , Classification , CNN , Deep Learning , Electroencephalogram , Motor Imagery , Web of Science

Electroencephalography , Brain modeling , Electrodes , Fingers , Feature extraction , Deep learning , Tongue, Brain Computer Interface , Motor Imagery , Neurorehabilitation , Orthotic Device , Recursive Feature Elimination , Long Short Term Memory

Electrodes, Design, Fabrication, Microneedle, Biosignal monitoring

EEG monitoring, Elderly people, Emotion detection, Textile EEG cap, Wearing-comfort

Morse code, EEG, Biometric authentication, Eye blinking, Password

Fatigue; Monitoring; Instruments; Task analysis; NASA; Matlab; Airports; aviation; electroencephalography; fatigue; human factors; pilot; questionnaire; safety

Emotion recognition,?BCI,?EEG,?Machine learning,?Feature extraction, stock trading,

Electrodes; Pediatrics; Area measurement; Feature extraction; Electroencephalography; Indexes; Task analysis; motor imagery; feature selection; neuromodulation; event-related desynchronization; electroencephalography

Technological innovation; Wearable computers; Electrocardiography; Depression; Electroencephalography; Real-time systems; Stress; Argentine tango; ECG ; EEC; flow; hyperscan

Electrooculography , electroencephalography , eye movement , head-mounted display , virtual reality , SVM , MLP, saccade

Electrodes; Fingers; Machine learning; Feature extraction; User experience; Haptic interfaces; Prosthetics; augmented reality; electromyography; haptic interfaces; human computer interaction; machine learning

Pandemics; Generative adversarial networks; Robot sensing systems; Brain-computer interfaces; Haptic interfaces; History; Gallium nitride; Brain-Computer Interface; Affective Computing; Deep Learning; GAN; Wearable Computing; Human-Centered UI/UX Design; Remote Communication; Haptic Interface; Emotion