What is the impact of user affect on motor learning in virtual environments after stroke? A sco** review

N Rohrbach, E Chicklis, DE Levac - Journal of neuroengineering and …, 2019‏ - Springer
Purpose The purported affective impact of virtual reality (VR) and active video gaming (AVG)
systems is a key marketing strategy underlying their use in stroke rehabilitation, yet little is …

A review on recent near infrared spectroscopic measurement setups and their challenges

FW Hong, KS Chia - Measurement, 2021‏ - Elsevier
Despite near infrared spectroscopy (NIRS) has been studied as an alternative measurement
approach in various applications, NIRS measurement setup that used in most of studies is …

[HTML][HTML] Analyzing classification performance of fNIRS-BCI for gait rehabilitation using deep neural networks

H Hamid, N Naseer, H Nazeer, MJ Khan, RA Khan… - Sensors, 2022‏ - mdpi.com
This research presents a brain-computer interface (BCI) framework for brain signal
classification using deep learning (DL) and machine learning (ML) approaches on functional …

Enhanced performance of a brain switch by simultaneous use of EEG and NIRS data for asynchronous brain-computer interface

CH Han, KR Müller, HJ Hwang - IEEE Transactions on Neural …, 2020‏ - ieeexplore.ieee.org
Previous studies have shown the superior performance of hybrid electroencephalography
(EEG)/near-infrared spectroscopy (NIRS) brain-computer interfaces (BCIs). However, it has …

Deep convolutional neural network based eye states classification using ear-EEG

CH Han, GY Choi, HJ Hwang - Expert Systems with Applications, 2022‏ - Elsevier
Electroencephalography measured around the ear (ear-EEG) has been considered as an
effective measurement for the development of practical EEG-based applications because it …

Cognitive and motor cortex activation during robot-assisted multi-sensory interactive motor rehabilitation training: An fNIRS based pilot study

J Zheng, Q Ma, W He, Y Huang, P Shi, S Li… - Frontiers in Human …, 2023‏ - frontiersin.org
Objective This study aimed to evaluate the effects of multiple virtual reality (VR) interaction
modalities based on force-haptic feedback combined with visual or auditory feedback in …

Effects of passive and active training modes of upper-limb rehabilitation robot on cortical activation: a functional near-infrared spectroscopy study

J Zheng, P Shi, M Fan, S Liang, S Li, H Yu - NeuroReport, 2021‏ - journals.lww.com
Objective The purpose of this study is to investigate the cortical activation during passive
and active training modes under different speeds of upper extremity rehabilitation robots …

EEG Dataset for the Recognition of Different Emotions Induced in Voice-User Interaction

GY Choi, JG Shin, JY Lee, JS Lee, IS Heo, HY Yoon… - Scientific data, 2024‏ - nature.com
Abstract Electroencephalography (EEG)-based open-access datasets are available for
emotion recognition studies, where external auditory/visual stimuli are used to artificially …

Decoding three different preference levels of consumers using convolutional neural network: a functional near-infrared spectroscopy study

K Qing, R Huang, KS Hong - Frontiers in human neuroscience, 2021‏ - frontiersin.org
This study decodes consumers' preference levels using a convolutional neural network
(CNN) in neuromarketing. The classification accuracy in neuromarketing is a critical factor in …

[HTML][HTML] Video communication mitigate feelings of friendliness: a functional near-infrared spectroscopy study

N Yamaya, H Inagaki, Y Shimizu, S Mitsui, H Kazuki… - NeuroImage, 2025‏ - Elsevier
Friendliness is essential for the development of stable interpersonal relationships. Video
communication is growing rapidly in popularity for initiating and maintaining personal …