Bi-modal emotion recognition from expressive face and body gestures

Data Mining: Practical Machine Learning Tools and Techniques

Witten, I. H., Frank, E., & Hall, M. A. (2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,493 · see citing works

Data Mining

Witten, I. H. (2008) · Cited by 9,115 · see citing works

Data mining

Witten, I. H., & Frank, E. (2002) · ACM SIGMOD Record · doi:10.1145/507338.507355 · Cited by 5,163 · see citing works

Unmasking the face

Ekman, P., & Friesen, W. V. (1975) · Cited by 3,569 · see citing works

Detecting faces in images: a survey

Yang, M.-H., Kriegman, D. J., & Ahuja, N. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.982883 · Cited by 3,430 · see citing works

Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis.

Ambady, N., & Rosenthal, R. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.111.2.256 · Cited by 1,925 · see citing works

Computer Vision Face Tracking For Use in a Perceptual User Interface

Gary, R. B. (1998) · Cited by 1,400 · see citing works

The Human-computer interaction handbook: fundamentals, evolving technologies, and emerging applications

Jacko, J. A., & Sears, A. (2013) · Choice Reviews Online · doi:10.5860/choice.50-3307 · Cited by 1,360 · see citing works

The Human-computer interaction handbook: fundamentals, evolving technologies, and emerging applications

(2003) · Choice Reviews Online · doi:10.5860/choice.40-4648 · Cited by 779 · see citing works

A theoretical study on six classifier fusion strategies

Kuncheva, L. I. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.982906 · Cited by 724 · see citing works

Attributing Emotion to Static Body Postures: Recognition Accuracy, Confusions, and Viewpoint Dependence

Coulson, M. (2004) · Journal of Nonverbal Behavior · doi:10.1023/b:jonb.0000023655.25550.be · Cited by 615 · see citing works

To feel or not to feel: The role of affect in human–computer interaction

Hudlická, E. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00047-8 · Cited by 392 · see citing works

A novel method for automatic face segmentation, facial feature extraction and tracking

Sobottka, K., & Pitas, I. (1998) · Signal Processing: Image Communication · doi:10.1016/s0923-5965(97)00042-8 · Cited by 306 · see citing works

Affective multimodal human-computer interaction

Pantic, M., Sebe, N., Cohn, J. F., & Huang, T. (2005) · Proceedings of the 13th annual ACM international conference on Multimedia · doi:10.1145/1101149.1101299 · Cited by 234 · see citing works

A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior

Gunes, H., & Piccardi, M. (2006) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2006.39 · Cited by 206 · see citing works

Multimodal integration-a statistical view

Wu, L., Oviatt, S. L., & Cohen, P. R. (1999) · IEEE Transactions on Multimedia · doi:10.1109/6046.807953 · Cited by 190 · see citing works

Emotion Analysis in Man-Machine Interaction Systems

Balomenos, T., Raouzaiou, A. T., Ioannou, S. V., Drosopoulos, A., Karpouzis, K. C., & Kollias, S. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-30568-2_27 · Cited by 126 · see citing works

Probabilistic combination of multiple modalities to detect interest

Kapoor, A., Picard, R. W., & Ivanov, Y. A. (2004) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2004.1334690 · Cited by 100 · see citing works

Emotion in HCI

Peter, C., Beale, R., Crane, E. A., & Axelrod, L. (2007) · Electronic workshops in computing · doi:10.14236/ewic/hci2007.98 · Cited by 17 · see citing works

Creating and Annotating Affect Databases from Face and Body Display: A Contemporary Survey

Güneş, H., & Piccardi, M. (2006) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2006.385227 · Cited by 16 · see citing works

Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

Calvo, R. A., & D'Mello, S. (2010) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2010.1 · Cited by 1,893 · see citing works

Speech emotion recognition using deep 1D & 2D CNN LSTM networks

Zhao, J., Mao, X., & Chen, L. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2018.08.035 · Cited by 1,044 · see citing works

Social signal processing: Survey of an emerging domain

Vinciarelli, A., Pantic, M., & Bourlard, H. (2009) · Image and Vision Computing · doi:10.1016/j.imavis.2008.11.007 · Cited by 842 · see citing works

Social Signal Processing

Scherer, K. R., Schuller, B., & Elkins, A. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316676202 · Cited by 766 · see citing works

Review on Psychological Stress Detection Using Biosignals

Giannakakis, G., Grigoriadis, D., Giannakaki, K., Simantiraki, O., Roniotis, A., & Tsiknakis, M. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2927337 · Cited by 764 · see citing works

Affective Body Expression Perception and Recognition: A Survey

Kleinsmith, A., & Bianchi-Berthouze, N. (2013) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2012.16 · Cited by 646 · see citing works

Fusing audio, visual and textual clues for sentiment analysis from multimodal content

Poria, S., Cambria, E., Howard, N., Huang, G.-B., & Hussain, A. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.01.095 · Cited by 534 · see citing works

Survey on Emotional Body Gesture Recognition

Noroozi, F., Corneanu, C. A., Kamińska, D., Sapiński, T., Escalera, S., & Anbarjafari, G. (2018) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2874986 · Cited by 491 · see citing works

Human-Computer Interaction: Overview on State of the Art

Karray, F. O., Alemzadeh, M., Saleh, J. A., & Arab, M. N. (2008) · International Journal on Smart Sensing and Intelligent Systems · doi:10.21307/ijssis-2017-283 · Cited by 418 · see citing works

Automatic speech emotion recognition using modulation spectral features

Wu, S., Falk, T. H., & Chan, W.-Y. (2011) · Speech Communication · doi:10.1016/j.specom.2010.08.013 · Cited by 389 · see citing works

The Oxford Handbook of Cognitive Psychology

(2013) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780195376746.001.0001 · Cited by 378 · see citing works

EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities

Suhaimi, N. S., Mountstephens, J., & Teo, J. (2020) · Computational Intelligence and Neuroscience · doi:10.1155/2020/8875426 · Cited by 361 · see citing works

Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition

Li, J., Zhang, Z., & He, H. (2017) · Cognitive Computation · doi:10.1007/s12559-017-9533-x · Cited by 340 · see citing works

Recognising Human Emotions from Body Movement and Gesture Dynamics

Castellano, G., Villalba, S. D., & Camurri, A. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_7 · Cited by 335 · see citing works

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues

Mittal, T., Bhattacharya, U., Chandra, R., Bera, A., & Manocha, D. (2020) · Proceedings of the 28th ACM International Conference on Multimedia · doi:10.1145/3394171.3413570 · Cited by 319 · see citing works

Learning deep physiological models of affect

Martinez, H. P., Bengio, Y., & Yannakakis, G. N. (2013) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2013.2247823 · Cited by 287 · see citing works

Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech

Castellano, G., Kessous, L., & Caridakis, G. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85099-1_8 · Cited by 267 · see citing works

Theories, methods and current research on emotions in library and information science, information retrieval and human–computer interaction

Lopatovska, I., & Arapakis, I. (2010) · Information Processing & Management · doi:10.1016/j.ipm.2010.09.001 · Cited by 261 · see citing works

M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues

Mittal, T., Bhattacharya, U., Chandra, R., Bera, A., & Manocha, D. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i02.5492 · Cited by 23 · see citing works

Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis

Kessous, L., Castellano, G., & Caridakis, G. (2010) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-009-0025-5 · Cited by 256 · see citing works

Towards an intelligent framework for multimodal affective data analysis

Poria, S., Cambria, E., Hussain, A., & Huang, G.-B. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.10.005 · Cited by 236 · see citing works

Understanding the Role of Body Movement in Player Engagement

Bianchi‐Berthouze, N. (2012) · Human-Computer Interaction · doi:10.1080/07370024.2012.688468 · Cited by 226 · see citing works

Influence of traffic congestion on driver behavior in post-congestion driving

Li, G., Lai, W., Sui, X., Li, X., Qu, X., Zhang, T., & Li, Y. (2020) · Accident Analysis & Prevention · doi:10.1016/j.aap.2020.105508 · Cited by 222 · see citing works

Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network

Liu, Y., Ding, Y., Li, C., Cheng, J., Song, R., Wan, F., & Chen, X. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103927 · Cited by 218 · see citing works

Toward a Minimal Representation of Affective Gestures

Glowinski, D., Dael, N., Camurri, A., Volpe, G., Mortillaro, M., & Scherer, K. R. (2011) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.7 · Cited by 214 · see citing works

How to distinguish posed from spontaneous smiles using geometric features

Valstar, M., Güneş, H., & Pantić, M. (2007) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/1322192.1322202 · Cited by 201 · see citing works

Automatic Temporal Segment Detection and Affect Recognition From Face and Body Display

Gunes, H., & Piccardi, M. (2009) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2008.927269 · Cited by 225 · see citing works

Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques

Islam, M. R., Moni, M. A., Islam, M. M., Rashed-Al-Mahfuz, M., Islam, M. S., Hasan, M. K., Hossain, M. S., Ahmad, M., Uddin, S., Azad, A., et al. (2021) · IEEE Access · doi:10.1109/access.2021.3091487 · Cited by 190 · see citing works

EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle

Mittal, T., Guhan, P., Bhattacharya, U., Chandra, R., Bera, A., & Manocha, D. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.01424 · Cited by 187 · see citing works

Multimodal emotion recognition from expressive faces, body gestures and speech

Caridakis, G., Castellano, G., Kessous, L., Raouzaiou, A., Malatesta, L., Asteriadis, S., & Karpouzis, K. (2007) · IFIP The International Federation for Information Processing · doi:10.1007/978-0-387-74161-1_41 · Cited by 183 · see citing works

A survey of emotion recognition methods with emphasis on E-Learning environments

Imani, M., & Montazer, G. A. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.102423 · Cited by 190 · see citing works

A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features

Er, M. B. (2020) · IEEE Access · doi:10.1109/access.2020.3043201 · Cited by 156 · see citing works

Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces

He, Z., Li, Z., Yang, F., Wang, L., Li, J., Zhou, C., & Pan, J. (2020) · Brain Sciences · doi:10.3390/brainsci10100687 · Cited by 157 · see citing works

The effect of consumer emotions on outcome behaviors following service failure

Harrison‐Walker, L. J. (2019) · Journal of Services Marketing · doi:10.1108/jsm-04-2018-0124 · Cited by 146 · see citing works

Learning deep features to recognise speech emotion using merged deep CNN

Zhao, J., Mao, X., & Chen, L. (2018) · IET Signal Processing · doi:10.1049/iet-spr.2017.0320 · Cited by 142 · see citing works

Diagnosis of depression by behavioural signals

Cummins, N., Joshi, J., Dhall, A., Sethu, V., Goecke, R., & Epps, J. (2013) · doi:10.1145/2512530.2512535 · Cited by 138 · see citing works

A Review of Key Technologies for Emotion Analysis Using Multimodal Information

Zhu, X., Guo, C., Feng, H., Huang, Y., Feng, Y., Wang, X., & Wang, R. (2024) · Cognitive Computation · doi:10.1007/s12559-024-10287-z · Cited by 137 · see citing works

Facial Emotion Expressions in Human–Robot Interaction: A Survey

Rawal, N., & Stock‐Homburg, R. (2022) · International Journal of Social Robotics · doi:10.1007/s12369-022-00867-0 · Cited by 130 · see citing works

Beyond Facial Expressions: Learning Human Emotion from Body Gestures

Shan, C., Gong, S., & McOwan, P. W. (2007) · British Machine Vision Conference (BMVC) · doi:10.5244/c.21.43 · Cited by 125 · see citing works

D-vlog: Multimodal Vlog Dataset for Depression Detection

Yoon, J., Kang, C., Kim, S., & Han, J. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i11.21483 · Cited by 126 · see citing works

Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics

Cambria, E., Howard, N., Hsu, J. Y.-J., & Hussain, A. (2013) · IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI) · doi:10.1109/cihli.2013.6613272 · Cited by 123 · see citing works

EmoReact: a multimodal approach and dataset for recognizing emotional responses in children

Nojavanasghari, B., Baltrušaitis, T., Hughes, C. E., & Morency, L. (2016) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2993148.2993168 · Cited by 127 · see citing works

Can body expressions contribute to automatic depression analysis?

Joshi, J., Goecke, R., Parker, G. B., & Breakspear, M. J. (2013) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2013.6553796 · Cited by 123 · see citing works

TC-Net: A Transformer Capsule Network for EEG-based emotion recognition

Wei, Y., Liu, Y., Li, C., Cheng, J., Song, R., & Chen, X. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106463 · Cited by 117 · see citing works

Needs and challenges in human computer interaction for processing social emotional information

Esposito, A. A., Esposito, A. M., & Vogel, C. M. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.02.013 · Cited by 111 · see citing works

Thermal Facial Analysis for Deception Detection

Rajoub, B. A., & Reyer Zwiggelaar, A. (2014) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2014.2317309 · Cited by 107 · see citing works

Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information

Metallinou, A., Katsamanis, A., & Narayanan, S. S. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.08.018 · Cited by 103 · see citing works

Emotionally expressive dynamic physical behaviors in robots

Bretan, M., Hoffman, G., & Weinberg, G. (2015) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2015.01.006 · Cited by 100 · see citing works

Emotions in storybooks: A comparison of storybooks that represent ethnic and racial groups in the United States.

Grady, J. S., Her, M., Moreno, G., Pérez, C., & Yelinek, J. (2018) · Psychology of Popular Media Culture · doi:10.1037/ppm0000185 · Cited by 100 · see citing works

ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild

Luo, Y., Ye, J., Adams, R. B., Li, J., Newman, M. G., & Wang, J. Z. (2019) · International Journal of Computer Vision · doi:10.1007/s11263-019-01215-y · Cited by 101 · see citing works

From the Lab to the Real World: Affect Recognition Using Multiple Cues and Modalities

Güneş, H., Piccardi, M., & Pantić, M. (2008) · doi:10.5772/6180 · Cited by 93 · see citing works

Multi-view domain-adaptive representation learning for EEG-based emotion recognition

Li, C., Bian, N., Zhao, Z., Wang, H., & Schuller, B. W. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.102156 · Cited by 91 · see citing works

Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion

Wang, J. Z., Zhao, S., Wu, C., Adams, R. B., Newman, M. G., Shafir, T., & Tsachor, R. P. (2023) · Proceedings of the IEEE · doi:10.1109/jproc.2023.3273517 · Cited by 98 · see citing works

MFF-SAug: Multi feature fusion with spectrogram augmentation of speech emotion recognition using convolution neural network

Jothimani, S., & Premalatha, K. (2022) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2022.112512 · Cited by 86 · see citing works

A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence

Vempati, R., & Sharma, L. D. (2023) · Results in Engineering · doi:10.1016/j.rineng.2023.101027 · Cited by 88 · see citing works

Affect recognition for interactive companions: challenges and design in real world scenarios

Castellano, G., Leite, I., Pereira, A., Martinho, C., Paiva, A., & McOwan, P. W. (2009) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-009-0033-5 · Cited by 86 · see citing works

Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition

Zhou, H., Du, J., Zhang, Y., Wang, Q., Liu, Q.-F., & Lee, C.-H. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2021.3096037 · Cited by 85 · see citing works

Fusing Body Posture With Facial Expressions for Joint Recognition of Affect in Child–Robot Interaction

Filntisis, P. P., Efthymiou, N., Koutras, P., Potamianos, G., & Maragos, P. A. (2019) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2019.2930434 · Cited by 84 · see citing works

A computational model based on Gross’ emotion regulation theory

Bosse, T., Pontier, M. A., & Jan Treur, A. (2009) · Cognitive Systems Research · doi:10.1016/j.cogsys.2009.10.001 · Cited by 81 · see citing works

Analysis of physiological for emotion recognition with the IRS model

Li, C., Xu, C., & Feng, Z. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.07.112 · Cited by 78 · see citing works

Continuous Recognition of Player's Affective Body Expression as Dynamic Quality of Aesthetic Experience

Savva, N., Scarinzi, A., & Bianchi‐Berthouze, N. (2012) · IEEE Transactions on Computational Intelligence and AI in Games · doi:10.1109/tciaig.2012.2202663 · Cited by 78 · see citing works

Using YouTube Comments for Text-based Emotion Recognition

Douiji, Y., Mousannif, H., & Hassan, A. M. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.04.128 · Cited by 78 · see citing works

Emotion Actuator

Hassib, M. E., Pfeiffer, M., Schneegaß, S., Rohs, M., & Alt, F. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025953 · Cited by 72 · see citing works

Robot-specific social cues in emotional body language

Embgen, S., Luber, M., Becker-Asano, C., Ragni, M., Evers, V., & Arras, K. O. (2012) · IEEE RO-MAN · doi:10.1109/roman.2012.6343883 · Cited by 71 · see citing works

Unsupervised Learning Approach to Feature Analysis for Automatic Speech Emotion Recognition

Eskimez, Ş. E., Duan, Z., & Heinzelman, W. (2018) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2018.8462685 · Cited by 71 · see citing works

Systematic Review of Emotion Detection with Computer Vision and Deep Learning

Pereira, R., Mendes, C., Ribeiro, J., Ribeiro, R., Miragaia, R., Rodrigues, N. M. M., Costa, N., & Pereira, A. M. D. J. (2024) · Sensors · doi:10.3390/s24113484 · Cited by 83 · see citing works

Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease

Yuvaraj, R., Murugappan, M., Ibrahim, N. M., Sundaraj, K., Omar, M. I., Mohamad, K., & Palaniappan, R. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.07.014 · Cited by 67 · see citing works

Emotion Recognition for Multiple Context Awareness

Yang, D., Huang, S., Wang, S., Liu, Y., Zhai, P., Su, L., Li, M., & Zhang, L. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19836-6_9 · Cited by 66 · see citing works

Combining Facial and Postural Expressions of Emotions in a Virtual Character

Clavel, C., Plessier, J., Martin, J., Ach, L., & Morel, B. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04380-2_31 · Cited by 64 · see citing works

Speech Emotion Detection using IoT based Deep Learning for Health Care

Tariq, Z., Shah, S. K., & Lee, Y. (2019) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata47090.2019.9005638 · Cited by 63 · see citing works

Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion Recognition

Papakostas, M., Evaggelos Spyrou, A., Γιαννακόπουλος, Θ., Siantikos, G., Sgouropoulos, D., Phivos Mylonas, B., & Makedon, F. S. (2017) · Computation · doi:10.3390/computation5020026 · Cited by 63 · see citing works

Emotion Recognition Using Feature-level Fusion of Facial Expressions and Body Gestures

Keshari, T., & Palaniswamy, S. (2019) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces45898.2019.9002175 · Cited by 63 · see citing works

Multiscale-multichannel feature extraction and classification through one-dimensional convolutional neural network for Speech emotion recognition

Liu, M., Raj, A. N. J., Rajangam, V., Ma, K., Zhuang, Z., & Zhuang, S. (2023) · Speech Communication · doi:10.1016/j.specom.2023.103010 · Cited by 61 · see citing works

Multiple Feature Fusion for Automatic Emotion Recognition Using EEG Signals

Liu, N., Fang, Y., Li, L., Hou, L., Yang, F., & Guo, Y. (2018) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2018.8462518 · Cited by 56 · see citing works

Recognizing Stress Using Semantics and Modulation of Speech and Gestures

Lefter, I., Burghouts, G. J., & Rothkrantz, L. J. M. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2451622 · Cited by 54 · see citing works

Emotion recognition based on physiological signals using valence-arousal model

Basu, S., Jana, N., Bag, A., Mahadevappa, M., Mukherjee, J., Kumar, S., & Guha, R. (2015) · International Conference on Intelligent Information Processing · doi:10.1109/iciip.2015.7414739 · Cited by 42 · see citing works

Relative Body Parts Movement for Automatic Depression Analysis

Joshi, J., Dhall, A., Goecke, R., & Cohn, J. F. (2013) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2013.87 · Cited by 52 · see citing works

Automatic Human Emotion Recognition in Surveillance Video

Arunnehru, J., & Geetha, M. K. (2016) · Studies in computational intelligence · doi:10.1007/978-3-319-44790-2_15 · Cited by 51 · see citing works

Wize Mirror - a smart, multisensory cardio-metabolic risk monitoring system

Andreu, Y., Chiarugi, F., Colantonio, S., Giannakakis, G. A., Giorgi, D., Henríquez, P., Kazantzaki, E., Manousos, D., Kostas Marias, A., Matuszewski, B. J., et al. (2016) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2016.03.018 · Cited by 49 · see citing works

A Hybrid Fuzzy Cognitive Map/Support Vector Machine Approach for EEG-Based Emotion Classification Using Compressed Sensing

Guo, K., Chai, R., Candra, H., Guo, Y., Song, R., Nguyen, H. T., & Su, S. W. (2018) · International Journal of Fuzzy Systems · doi:10.1007/s40815-018-0567-3 · Cited by 48 · see citing works

Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection

Janssen, J. H., Tacken, P., de Vries, G.-J., van den Broek, E. L., Westerink, J. H. D. M., Haselager, P., & IJsselsteijn, W. A. (2013) · Human-Computer Interaction · doi:10.1080/07370024.2012.755421 · Cited by 48 · see citing works

Loss-Scaled Large-Margin Gaussian Mixture Models for Speech Emotion Classification

Yun, S., & Yoo, C. D. (2011) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2011.2162405 · Cited by 46 · see citing works

Affect recognition from facial movements and body gestures by hierarchical deep spatio-temporal features and fusion strategy

Sun, B., Cao, S., He, J. Y. D., & Yu, L. (2017) · Neural Networks · doi:10.1016/j.neunet.2017.11.021 · Cited by 46 · see citing works

Review on Emotion Recognition Databases

Haamer, R. E., Rusadze, E., Lüsi, I., Ahmed, T., Escalera, S., & Anbarjafari, G. (2018) · InTech eBooks · doi:10.5772/intechopen.72748 · Cited by 44 · see citing works

Fine-Grained and Real-Time Gesture Recognition by Using IMU Sensors

Zhang, D., Liao, Z., Xie, W. F., Wu, X., Xie, H., Xiao, J., & Jiang, L. (2021) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2021.3120475 · Cited by 42 · see citing works

Integrating Facial Expression and Body Gesture in Videos for Emotion Recognition

Yan, J., Zheng, W., Minhai, X. I. N., & Yan, J. (2014) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.e97.d.610 · Cited by 42 · see citing works

EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet

Badaro, G., Jundi, H., Hajj, H. M., & El-Hajj, W. (2018) · Joint Conference on Lexical and Computational Semantics · doi:10.18653/v1/s18-2009 · Cited by 42 · see citing works

Interactive double states emotion cell model for textual dialogue emotion prediction

Li, D., Li, Y., & Wang, S. (2019) · Knowledge-Based Systems · doi:10.1016/j.knosys.2019.105084 · Cited by 42 · see citing works

Construction of Multi-Mode Affective Learning System: Taking Affective Design as an Example

Lin, H.-C. K., Su, S.-H., Chao, C.-J., Hsieh, C.-Y., & Tsai, S.-C. (2016) · Educational Technology & Society · Cited by 42 · see citing works

Laban descriptors for gesture recognition and emotional analysis

Truong, A., Boujut, H., & Zaharia, T. B. (2015) · The Visual Computer · doi:10.1007/s00371-014-1057-8 · Cited by 40 · see citing works

Proactive Robots With the Perception of Nonverbal Human Behavior: A Review

Sirithunge, C., Jayasekara, A. G. B. P., & Chandima, D. P. (2019) · IEEE Access · doi:10.1109/access.2019.2921986 · Cited by 40 · see citing works

Virtual Reality as a Reflection Technique for Public Speaking Training

Hangyu, Z., Fujimoto, Y., Kanbara, M., & Kato, H. (2021) · Applied Sciences · doi:10.3390/app11093988 · Cited by 40 · see citing works

Brain network features based on theta-gamma cross-frequency coupling connections in EEG for emotion recognition

Wang, W. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136106 · Cited by 40 · see citing works

Toward a model of emotions and mood in the online information search process

Lopatovska, I. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23078 · Cited by 39 · see citing works

Machine learning approaches for boredom classification using EEG

Seo, J., Laine, T. H., & Sohn, K.-A. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01196-3 · Cited by 39 · see citing works

Merged LSTM Model for emotion classification using EEG signals

Garg, A., Ashna, K., Bedi, A. K., & Sunkaria, R. K. (2019) · International Conference on Data Science and Engineering · doi:10.1109/icdse47409.2019.8971484 · Cited by 38 · see citing works

EEG-Based Emotion Classification for Alzheimer’s Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models

Seo, J., Laine, T. H., Oh, G., & Sohn, K.-A. (2020) · Sensors · doi:10.3390/s20247212 · Cited by 39 · see citing works

Applicability of RF-based methods for emotion recognition: A survey

Raja, M., & Sigg, S. (2016) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2016.7457119 · Cited by 38 · see citing works

A review on semi-supervised learning for EEG-based emotion recognition

Qiu, S., Chen, Y., Yang, Y., Wang, P., Wang, Z., Zhao, H., Kang, Y., & Nie, R. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.102190 · Cited by 37 · see citing works

Rasabodha: Understanding Indian classical dance by recognizing emotions using deep learning

Mohanty, A., & Sahay, R. R. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.01.035 · Cited by 37 · see citing works

Fusing Face and Body Display for Bi-modal Emotion Recognition: Single Frame Analysis and Multi-frame Post Integration

Güneş, H., & Piccardi, M. (2005) · Lecture notes in computer science · doi:10.1007/11573548_14 · Cited by 32 · see citing works

Fusing face and body gesture for machine recognition of emotions

Gunes, H., & Piccardi, M. (2006) · IEEE RO-MAN · doi:10.1109/roman.2005.1513796 · Cited by 28 · see citing works

Affect Recognition from Face and Body: Early Fusion vs. Late Fusion

Gunes, H., & Piccardi, M. (2006) · 2005 IEEE International Conference on Systems, Man and Cybernetics · doi:10.1109/icsmc.2005.1571679 · Cited by 191 · see citing works

Exploration of Gesture and Facial Expression-Based Emotion Recognition Models

Jangra, V., Gill, S., Sharma, B., & Kirar, A. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-5146-4_23

Multimodal emotion recognition from expressive faces, body gestures and speech

Caridakis, G., Castellano, G., Kessous, L., Raouzaiou, A., Malatesta, L., Asteriadis, S., & Karpouzis, K. (2007) · IFIP The International Federation for Information Processing · doi:10.1007/978-0-387-74161-1_41 · Cited by 183 · see citing works