A review of AI cloud and edge sensors, methods, and applications for the recognition of emotional, affective and physiological states
Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …
capturing human signals is a fast-growing area, which has been applied across numerous …
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 …
approach in various applications, NIRS measurement setup that used in most of studies is …
Emotional EEG classification using connectivity features and convolutional neural networks
Convolutional neural networks (CNNs) are widely used to recognize the user's state through
electroencephalography (EEG) signals. In the previous studies, the EEG signals are usually …
electroencephalography (EEG) signals. In the previous studies, the EEG signals are usually …
The tomcat dataset
We present a rich, multimodal dataset consisting of data from 40 teams of three humans
conducting simulated urban search-and-rescue (SAR) missions in a Minecraft-based …
conducting simulated urban search-and-rescue (SAR) missions in a Minecraft-based …
Using fNIRS to verify trust in highly automated driving
JR Perello-March, CG Burns… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Trust in automation is crucial for the safe and appropriate adoption of automated driving
technology. Current research methods to measure trust mainly rely on subjective scales …
technology. Current research methods to measure trust mainly rely on subjective scales …
Understanding hci practices and challenges of experiment reporting with brain signals: Towards reproducibility and reuse
In human-computer interaction (HCI), there has been a push towards open science, but to
date, this has not happened consistently for HCI research utilizing brain signals due to …
date, this has not happened consistently for HCI research utilizing brain signals due to …
Crowdsourcing affective annotations via fNIRS-BCI
Affective annotation refers to the process of labeling media content based on the emotions
they evoke. Since such experiences are inherently subjective and depend on individual …
they evoke. Since such experiences are inherently subjective and depend on individual …
[HTML][HTML] Users' reactions to website designs: A neuroimaging study based on evolutionary psychology with a focus on color and button shape
Website design decisions consider visual stimuli that have a significant impact on user
behavior. We use evolutionary psychology as a theoretical lens for studying the effects of …
behavior. We use evolutionary psychology as a theoretical lens for studying the effects of …
Investigation of functional near-infrared spectroscopy signal quality and development of the hemodynamic phase correlation signal
Significance: There is a longstanding recommendation within the field of fNIRS to use
oxygenated (HbO2) and deoxygenated (HHb) hemoglobin when analyzing and interpreting …
oxygenated (HbO2) and deoxygenated (HHb) hemoglobin when analyzing and interpreting …
[HTML][HTML] EEG–fNIRS-Based emotion recognition using graph convolution and capsule attention network
G Chen, Y Liu, X Zhang - Brain Sciences, 2024 - mdpi.com
Electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) can
objectively reflect a person's emotional state and have been widely studied in emotion …
objectively reflect a person's emotional state and have been widely studied in emotion …