AAER |
automated affect and/or emotion recognition |
ABP |
arterial blood pressure |
AI |
artificial intelligence |
AMIGOS |
a dataset for Affect, personality and Mood research on Individuals and GrOupS |
ASCERTAIN |
a multimodal databaASe for impliCit pERsonaliTy and Affect recognitIoN using commercial physiological sensors |
AuDB-4 |
AUgsburg Database of Biosignal 4 |
BVP |
blood volume pressure |
CV |
cardiovascular |
DAG |
Database for Affective Gaming |
DECAF |
MEG-based multimodal database for DECoding AFfective physiological responses |
DEAP |
Database for Emotion Analysis using Physiological signals |
DL |
deep learning |
DTA |
diagnostic test accuracy |
ECG |
electrocardiogram |
EDA |
electrodermal activity |
EEG |
electroencephalography |
EMG |
electromyography |
emoFBVP |
database of multimodal (Face, Body gesture, Voice and Physiological signals) recordings |
EPQ |
Eysenck Personality Questionnaire |
ERS |
Emotion Recognition Smartwatch |
HCI |
human–computer interaction |
HR |
heart rate |
HRV |
heart rate variability |
ICP |
intracranial pressure |
ITMDER |
IT Multimodal Dataset for Emotion Recognition |
MAHNOB-HCI |
Multimodal Analysis of Human NOnverbal Behaviour in real-world settings-Human-Computer Interaction |
MAPD |
Multi-subject Affective Physiological Database |
MD |
Mazeball Dataset |
MEG |
magnetoencephalography |
ML |
machine learning |
MPED |
Multi-modal Physiological Emotion Database for discrete emotion recognition |
NB |
naive Bayes |
OSF |
Open Science Framework |
PANAS |
Positive and Negative Affect Schedule |
POX |
pulse oximetry |
PPG |
photoplethysmogram |
PPV |
pulse pressure variation |
PRISMA |
Preferred Reporting Items for Systematic reviews and Meta-Analyses |
PROBAST |
Prediction model Risk Of Bias ASsessment Tool |
QUADAS |
QUality Assessment of Diagnostic Accuracy Studies |
RF |
random forest |
RoB |
Risk of Bias |
SAM |
Self-Assessment Manikin |
TSST |
Trier Social Stress Test |
VRAD |
Virtual Reality Affective Dataset |
WESAD |
WEarable Stress and Affect Detection |