Fernandez, J.M.,
Augusto, J.C.,
Seepold, R.,
Madrid, N.M.,
A Sensor Technology Survey for a Stress-Aware Trading Process,
SMC-C(42), No. 6, November 2012, pp. 809-824.
IEEE DOI
1210
BibRef
Shastri, D.[Dvijesh],
Papadakis, M.[Manos],
Tsiamyrtzis, P.[Panagiotis],
Bass, B.[Barbara],
Pavlidis, I.[Ioannis],
Perinasal Imaging of Physiological Stress and Its Affective Potential,
AffCom(3), No. 3, 2012, pp. 366-378.
IEEE DOI
1210
BibRef
Dcosta, M.,
Shastri, D.[Dvijesh],
Pavlidis, I.[Ioannis],
Perinasal indicators of malevolence,
FG15(1-4)
IEEE DOI
1508
behavioural sciences computing
BibRef
Chen, T.[Tong],
Yuen, P.,
Richardson, M.,
Liu, G.Y.[Guang-Yuan],
She, Z.S.[Zhi-Shun],
Detection of Psychological Stress Using a Hyperspectral Imaging
Technique,
AffCom(5), No. 4, October 2014, pp. 391-405.
IEEE DOI
1503
face recognition
BibRef
Sharma, N.[Nandita],
Dhall, A.[Abhinav],
Gedeon, T.[Tom],
Goecke, R.[Roland],
Thermal spatio-temporal data for stress recognition,
JIVP(2014), No. 1, 2014, pp. 28.
DOI Link
1407
BibRef
Dhall, A.[Abhinav],
Asthana, A.[Akshay],
Goecke, R.[Roland],
Gedeon, T.[Tom],
Emotion recognition using PHOG and LPQ features,
FG11(878-883).
IEEE DOI
1103
BibRef
Dhall, A.[Abhinav],
Goecke, R.[Roland],
Gedeon, T.[Tom],
Automatic Group Happiness Intensity Analysis,
AffCom(6), No. 1, January 2015, pp. 13-26.
IEEE DOI
1506
behavioural sciences computing
BibRef
Brouwer, A.M.,
van Schaik, M.G.,
Korteling, J.E.,
van Erp, J.B.F.,
Toet, A.,
Neuroticism, Extraversion, Conscientiousness and Stress:
Physiological Correlates,
AffCom(6), No. 2, April 2015, pp. 109-117.
IEEE DOI
1507
cardiology
BibRef
Sioni, R.[Riccardo],
Chittaro, L.[Luca],
Stress Detection Using Physiological Sensors,
Computer(48), No. 10, October 2015, pp. 26-33.
IEEE DOI
1511
applications
BibRef
Hong, K.[Kan],
Hong, S.[Sheng],
Real-time stress assessment using thermal imaging,
VC(32), No. 11, November 2016, pp. 1369-1377.
Springer DOI
1611
BibRef
Lefter, I.,
Burghouts, G.J.,
Rothkrantz, L.J.M.[L. J. M.],
Recognizing Stress Using Semantics and Modulation of Speech and
Gestures,
AffCom(7), No. 2, April 2016, pp. 162-175.
IEEE DOI
1606
Acoustics
BibRef
Ciman, M.,
Wac, K.,
Individuals' Stress Assessment Using Human-Smartphone Interaction
Analysis,
AffCom(9), No. 1, January 2018, pp. 51-65.
IEEE DOI
1804
data privacy, gesture recognition, human computer interaction,
sensors, smart phones, F-measure,
stress
BibRef
Koldijk, S.,
Neerincx, M.A.,
Kraaij, W.,
Detecting Work Stress in Offices by Combining Unobtrusive Sensors,
AffCom(9), No. 2, April 2018, pp. 227-239.
IEEE DOI
1806
Computational modeling, Computers, Context, Sensors, Stress,
Stress measurement, Support vector machines, Machine learning,
stress
BibRef
Perry, T.S.,
Wearable sensor detects stress in sweat: Cortisol is key to tracking
stress, but it's tough to measure in an instant-[News],
Spectrum(55), No. 9, September 2018, pp. 14-15.
IEEE DOI
1809
BibRef
Aigrain, J.,
Spodenkiewicz, M.,
Dubuiss, S.,
Detyniecki, M.,
Cohen, D.,
Chetouani, M.,
Multimodal Stress Detection from Multiple Assessments,
AffCom(9), No. 4, October 2018, pp. 491-506.
IEEE DOI
1812
Stress, Physiology, Feature extraction, Electrocardiography,
Heart rate variability, Observers, Stress, assessment, behaviour,
classification
BibRef
Hong, K.[Kan],
Liu, G.D.[Guo-Dong],
Chen, W.T.[Wen-Tao],
Hong, S.[Sheng],
Classification of the emotional stress and physical stress using
signal magnification and canonical correlation analysis,
PR(77), 2018, pp. 140-149.
Elsevier DOI
1802
Emotional stress, Physical stress, Emotion classification
BibRef
Carneiro, D.,
Novais, P.,
Augusto, J.C.,
Payne, N.,
New Methods for Stress Assessment and Monitoring at the Workplace,
AffCom(10), No. 2, April 2019, pp. 237-254.
IEEE DOI
1906
Stress, Monitoring, Ambient intelligence, Biomedical monitoring,
Employment, Temperature sensors, Stress,
ambient intelligence
BibRef
Gaffary, Y.,
Martin, J.,
Ammi, M.,
Haptic Expression and Perception of Spontaneous Stress,
AffCom(11), No. 1, January 2020, pp. 138-150.
IEEE DOI
2003
Haptic interfaces, Stress, Games, Force, Speech recognition,
Kinematics, Media, Haptic expression, haptic perception, spontaneous, stress
BibRef
Taylor, S.,
Jaques, N.,
Nosakhare, E.,
Sano, A.,
Picard, R.,
Personalized Multitask Learning for Predicting Tomorrow's Mood,
Stress, and Health,
AffCom(11), No. 2, April 2020, pp. 200-213.
IEEE DOI
2006
Mood, Stress, Data models, Predictive models, Meteorology,
Bayes methods, Mood prediction, multitask learning,
hierarchical Bayesian model
BibRef
Zafar, M.A.,
Ahmed, B.,
Rihawi, R.A.,
Gutierrez-Osuna, R.,
Gaming Away Stress: Using Biofeedback Games to Learn Paced Breathing,
AffCom(11), No. 3, July 2020, pp. 519-531.
IEEE DOI
2008
Games, Stress, Biological control systems, Task analysis, Training,
Medical treatment, Physiology, Biofeedback, relaxation games,
paced breathing
BibRef
Saitis, C.,
Kalimeri, K.,
Multimodal Classification of Stressful Environments in Visually
Impaired Mobility Using EEG and Peripheral Biosignals,
AffCom(12), No. 1, January 2021, pp. 203-214.
IEEE DOI
2103
Stress, Electroencephalography, Psychology, Task analysis,
Biomarkers, Navigation, Monitoring, Visual impairment, mobility,
data fusion
BibRef
Kumar, A.[Akshi],
Sharma, K.[Kapil],
Sharma, A.[Aditi],
Hierarchical deep neural network for mental stress state detection
using IoT based biomarkers,
PRL(145), 2021, pp. 81-87.
Elsevier DOI
2104
41A05, 41A10, 65D05, 65D17, Deep learning, IoT sensors, Biomarkers,
Mental health, Stress
BibRef
Dancy, C.L.[Christopher L.],
A Hybrid Cognitive Architecture with Primal Affect and Physiology,
AffCom(12), No. 2, April 2021, pp. 318-328.
IEEE DOI
2106
Physiology, Computational modeling, Computer architecture,
Cognitive processes, Stress, Face, Cognitive systems,
emotion theory
BibRef
Wang, K.[Ke],
Guo, P.[Ping],
An Ensemble Classification Model With Unsupervised Representation
Learning for Driving Stress Recognition Using Physiological Signals,
ITS(22), No. 6, June 2021, pp. 3303-3315.
IEEE DOI
2106
Stress, Feature extraction, Physiology, Training, Skin, Task analysis,
Vehicles, Driving stress, physiology, representation learning, ensemble learning
BibRef
Chen, S.Y.[Si-Yuan],
Epps, J.[Julien],
Task Load Estimation from Multimodal Head-Worn Sensors Using Event
Sequence Features,
AffCom(12), No. 3, July 2021, pp. 622-635.
IEEE DOI
2109
Task analysis, Speech recognition, Sensors, Brain modeling,
Computational modeling, Load modeling, Emotion recognition,
topic models
BibRef
Giannakakis, G.[Giorgos],
Grigoriadis, D.[Dimitris],
Giannakaki, K.[Katerina],
Simantiraki, O.[Olympia],
Roniotis, A.[Alexandros],
Tsiknakis, M.[Manolis],
Review on Psychological Stress Detection Using Biosignals,
AffCom(13), No. 1, January 2022, pp. 440-460.
IEEE DOI
2203
Principal component analysis, Channel estimation,
MIMO communication, Estimation, Computational complexity,
stress response
BibRef
Ren, P.[Peng],
Barreto, A.[Armando],
Ma, X.L.[Xiao-Le],
Liu, S.N.[Sheng-Nan],
Zhang, M.[Min],
Wang, Y.[Ying],
Dong, Y.[Yeyun],
Yao, D.[Dezhong],
Dynamics of Blink and Non-Blink Cyclicity for Affective Assessment:
A Case Study for Stress Identification,
AffCom(13), No. 2, April 2022, pp. 689-699.
IEEE DOI
2206
Stress, Psychology, Physiology, Stress measurement,
Time series analysis, Heart rate, Standards, Affective assessment,
Walsh-Hadamard transform
BibRef
Dahmane, M.[Mohamed],
Alam, J.[Jahangir],
St-Charles, P.L.[Pierre-Luc],
Lalonde, M.[Marc],
Heffner, K.[Kevin],
Foucher, S.[Samuel],
A Multimodal Non-Intrusive Stress Monitoring From the
Pleasure-Arousal Emotional Dimensions,
AffCom(13), No. 2, April 2022, pp. 1044-1056.
IEEE DOI
2206
Stress, Feature extraction, Unmanned aerial vehicles, Psychology,
Visualization, Monitoring, Face, Operator state monitoring,
feature representation
BibRef
Kumar, S.[Satish],
Iftekhar, A.S.M.[A S M],
Goebel, M.[Michael],
Bullock, T.[Tom],
MacLean, M.H.[Mary H.],
Miller, M.B.[Michael B.],
Santander, T.[Tyler],
Giesbrecht, B.[Barry],
Grafton, S.T.[Scott T.],
Manjunath, B.S.,
StressNet: Detecting Stress in Thermal Videos,
WACV21(998-1008)
IEEE DOI
2106
Transfer learning, Biomedical monitoring, Stress, Thermal stresses,
Deep learning model
BibRef
Athar, S.,
Shu, Z.,
Samaras, D.,
Self-supervised Deformation Modeling for Facial Expression Editing,
FG20(294-301)
IEEE DOI
2102
Strain, Faces, Gold, Deformable models, Generators, Task analysis,
Annotations, Generative Modelling, Expression Editing, Self Supervised Learning
BibRef
Giannakakis, G.,
Koujan, M.R.,
Roussos, A.,
Marias, K.,
Automatic stress detection evaluating models of facial action units,
FG20(728-733)
IEEE DOI
2102
Gesture recognition, Face recognition, stress,
facial action units, FACS, AAM
BibRef
Ortoncelli, A.R.[André Roberto],
Silva, L.[Luciano],
Bellon, O.R.P.[Olga Regina Perreira],
de Oliveira, T.M.[Tiago Mota],
Daga, J.[Juliana],
Summarizing Driving Behavior to Support Driver Stress Analysis,
FG20(587-591)
IEEE DOI
2102
Stress, Vehicles, Tools, Cameras, Global Positioning System, Faces,
Heart rate, Video summarization, Driver Behaviour, Driver Emotion
BibRef
Nagasawa, T.,
Takahashi, R.,
Koopipat, C.,
Tsumura, N.,
Stress Estimation Using Multimodal Biosignal Information from RGB
Facial Video,
CVPM20(1181-1187)
IEEE DOI
2008
Stress, Feature extraction, Estimation, Fluctuations, Eyelids, Ear
BibRef
Awiszus, M.,
Graßhof, S.,
Kuhnke, F.,
Ostermann, J.,
Unsupervised Features for Facial Expression Intensity Estimation Over
Time,
HumanPose18(1199-11998)
IEEE DOI
1812
Face, Principal component analysis,
Facial features, Estimation, Databases, Gold
BibRef
Giannakakis, G.,
Manousos, D.,
Simos, P.,
Tsiknakis, M.,
Head Movements in Context of Speech during Stress Induction,
FG18(710-714)
IEEE DOI
1806
Active appearance model, Head, Image color analysis, Interviews,
Magnetic heads, Stress, Task analysis, AAM, head movements, head pose,
stress
BibRef
Irani, R.,
Nasrollahi, K.,
Dhall, A.,
Moeslund, T.B.,
Gedeon, T.,
Thermal super-pixels for bimodal stress recognition,
IPTA16(1-6)
IEEE DOI
1703
biomedical optical imaging
BibRef
Gao, H.[Hua],
Yuce, A.[Anil],
Thiran, J.P.[Jean-Philippe],
Detecting emotional stress from facial expressions for driving safety,
ICIP14(5961-5965)
IEEE DOI
1502
Cameras
BibRef
Mohd, M.N.H.[Mohd Norzali Haji],
Kashima, M.[Masayuki],
Sato, K.[Kiminori],
Watanabe, M.[Mutsumi],
A Non-invasive Facial Visual-Infrared Stereo Vision Based Measurement
as an Alternative for Physiological Measurement,
CV4AC14(684-697).
Springer DOI
1504
for recognizing mental stress.
BibRef
Barreto, A.[Armando],
Zhai, J.[Jing],
Adjouadi, M.[Malek],
Non-intrusive Physiological Monitoring for Automated Stress Detection
in Human-Computer Interaction,
CVHCI07(29-38).
Springer DOI
0710
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Expression Recognition for Pain .