21.3.6.1.6 Face Expression Recognition for Stress

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.Z.[De-Zhong],
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

Booth, B.M.[Brandon M.], Vrzakova, H.[Hana], Mattingly, S.M.[Stephen M.], Martinez, G.J.[Gonzalo J.], Faust, L.[Louis], d'Mello, S.K.[Sidney K.],
Toward Robust Stress Prediction in the Age of Wearables: Modeling Perceived Stress in a Longitudinal Study With Information Workers,
AffCom(13), No. 4, October 2022, pp. 2201-2217.
IEEE DOI 2212
Human factors, Stress, Physiology, Stress measurement, Wearable computers, Heart rate variability, Predictive models, machine learning BibRef

Li, N.[Ningyun], Zhang, H.J.[Hui-Jun], Feng, L.[Ling],
Incorporating Forthcoming Events and Personality Traits in Social Media Based Stress Prediction,
AffCom(14), No. 1, January 2023, pp. 603-621.
IEEE DOI 2303
Stress, Social networking (online), Predictive models, Correlation, Sensors, Linguistics, Data models, Stress prediction, social media, joint memory network BibRef

da C. Silva, D.R.[Dennis R.], Wang, Z.[Zelun], Gutierrez-Osuna, R.[Ricardo],
Towards Participant-Independent Stress Detection Using Instrumented Peripherals,
AffCom(14), No. 1, January 2023, pp. 773-787.
IEEE DOI 2303
Mice, Stress, Task analysis, Keyboards, Instruments, Feature extraction, Stress measurement, Stress detection, affective computing BibRef

Greco, A.[Alberto], Valenza, G.[Gaetano], Lázaro, J.[Jesús], Garzón-Rey, J.M.[Jorge Mario], Aguiló, J.[Jordi], de la-Cámara, C.[Concepcion], Bailón, R.[Raquel], Scilingo, E.P.[Enzo Pasquale],
Acute Stress State Classification Based on Electrodermal Activity Modeling,
AffCom(14), No. 1, January 2023, pp. 788-799.
IEEE DOI 2303
Stress, Computational modeling, Physiology, Feature extraction, Task analysis, Psychology, Protocols, Stress recognition, stress sources BibRef

Sabour, R.M.[Rita Meziati], Benezeth, Y.[Yannick], de Oliveira, P.[Pierre], Chappé, J.[Julien], Yang, F.[Fan],
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress,
AffCom(14), No. 1, January 2023, pp. 622-636.
IEEE DOI 2303
Stress, Physiology, Task analysis, Feature extraction, Psychology, Particle measurements, Atmospheric measurements, electrodermal activity BibRef

Chen, H.Y.[Hao-Yu], Shi, H.L.[Heng-Lin], Liu, X.[Xin], Li, X.B.[Xiao-Bai], Zhao, G.Y.[Guo-Ying],
SMG: A Micro-gesture Dataset Towards Spontaneous Body Gestures for Emotional Stress State Analysis,
IJCV(131), No. 6, June 2023, pp. 1346-1366.
Springer DOI 2305
BibRef

Appel, T.[Tobias], Gerjets, P.[Peter], Hoffmann, S.[Stefan], Moeller, K.[Korbinian], Ninaus, M.[Manuel], Scharinger, C.[Christian], Sevcenko, N.[Natalia], Wortha, F.[Franz], Kasneci, E.[Enkelejda],
Cross-Task and Cross-Participant Classification of Cognitive Load in an Emergency Simulation Game,
AffCom(14), No. 2, April 2023, pp. 1558-1571.
IEEE DOI 2306
Task analysis, Real-time systems, Particle measurements, Atmospheric measurements, Adaptation models, Games, Load modeling, adaptive and intelligent educational systems BibRef

Shaw, B.[Bishal], Saha, S.[Sriparna], Mishra, S.K.[Santosh Kumar], Ghosh, A.[Angshuman],
Investigations in Psychological Stress Detection from Social Media Text using Deep Architectures,
ICPR22(1614-1620)
IEEE DOI 2212
Deep learning, Social networking (online), Human factors, Mental health, Manuals, Feature extraction, Data mining BibRef

Unni, S.[Srijith], Gowda, S.S.[Sushma Suryanarayana], Smeaton, A.F.[Alan F.],
An Investigation into Keystroke Dynamics and Heart Rate Variability as Indicators of Stress,
MMMod22(I:379-391).
Springer DOI 2203
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 .