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We exploit a self-supervised deep multi-task learning framework for electrocardiogram (ECG) -based emotion recognition.
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Toward machine emotional intelligence: Analysis of affective physiological state
Rosalind W. Picard, Elias Vyzas, and Jennifer Healey · 2001
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Emotion recognition by speech signals
Oh-Wook Kwon, Kwokleung Chan, Jiucang Hao, and Te-Won Lee · 2003
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Detecting stress during real-world driving tasks using physiological sensors
Jennifer Healey and Rosalind W Picard · 2005
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Stress detection in computer users based on digital signal processing of noninvasive physiological variables
Jing Zhai and Armando Barreto · 2006
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Basic ECG Waves
Ary L. Goldberge · 2006
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Self-taught learning: transfer learning from unlabeled data
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, and Andrew Y Ng · 2007
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A method of emotion recognition based on ecg signal
Ya Xu and Guang-Yuan Liu · 2009
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Open information extraction using wikipedia
Fei Wu and Daniel S. Weld · 2010
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Deap: A database for emotion analysis; using physiological signals
Sander Koelstra, Christian Muhl, Mohammad Soleymani, Jong-Seok Lee, Ashkan Yazdani, Touradj Ebrahimi, Thierry Pun, Anton Nijholt, and Ioannis Patras · 2011
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Ecg pattern analysis for emotion detection
Foteini Agrafioti, Dimitris Hatzinakos, and Adam K Anderson · 2011
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The swell knowledge work dataset for stress and user modeling research
Saskia Koldijk, Maya Sappelli, Suzan Verberne, Mark A Neerincx, and Wessel Kraaij · 2014
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Classification and translation of style and affect in human motion using rbf neural networks
Ali Etemad and Ali Arya · 2014
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Diederik P Kingma and Jimmy Ba · 2014
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Recognizing emotions induced by affective sounds through heart rate variability
Mimma Nardelli, Gaetano Valenza, Alberto Greco, Antonio Lanata, and Enzo Pasquale Scilingo · 2015
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Utilizing deep neural nets for an embedded ecg-based biometric authentication system
Adam Page, Amey Kulkarni, and Tinoosh Mohsenin · 2015
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Ascertain: Emotion and personality recognition using commercial sensors
Ramanathan Subramanian, Julia Wache, Mojtaba Khomami Abadi, Radu L Vieriu, Stefan Winkler, and Nicu Sebe · 2016
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Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning
H. Shin, H. R. Roth, M. Gao, L. Lu, Z. Xu, I. Nogues, J. Yao, D. Mollura, and R. M. Summers · 2016
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Detecting work stress in offices by combining unobtrusive sensors
Saskia Koldijk, Mark A Neerincx, and Wessel Kraaij · 2016
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Personalized multitask learning for predicting tomorrow’s mood, stress, and health
S. A. Taylor, N. Jaques, E. Nosakhare, A. Sano, and R. Picard · 2017
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A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology
Supreeth Prajwal Shashikumar, Amit J Shah, Qiao Li, Gari D Clifford, and Shamim Nemati · 2017
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Utilizing deep learning towards multi-modal bio-sensing and vision-based affective computing
S. Siddharth, T. Jung, and T. J. Sejnowski · 2019
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Multi-task self-supervised learning for human activity detection
Aaqib Saeed, Tanir Ozcelebi, and Johan Lukkien · 2019
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Self-supervised audio representation learning for mobile devices
Marco Tagliasacchi, Beat Gfeller, Félix de Chaumont Quitry, and Dominik Roblek · 2019
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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Y Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H Tison, Codie Bourn, Mintu P Turakhia, and Andrew Y Ng · 2019
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Toward dynamically adaptive simulation: Multimodal classification of user expertise using wearable devices
Kyle Ross, Pritam Sarkar, Dirk Rodenburg, Aaron Ruberto, Paul Hungler, Adam Szulewski, Daniel Howes, and Ali Etemad · 2019
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Transitive invariance for self-supervised visual representation learning
Xiaolong Wang, Kaiming He, and Abhinav Gupta · 2017
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Dreamer: A database for emotion recognition through eeg and ecg signals from wireless low-cost off-the-shelf devices
Stamos Katsigiannis and Naeem Ramzan · 2017
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Stress detection in working people
S Sriramprakash, Vadana D Prasanna, and OV Ramana Murthy · 2017
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Detection of heart abnormalities via artificial neural network: An application of self learning algorithms
M. Rastgar-Jazi and X. Fernando · 2017
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Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, and Dana Kulić · 2017
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Amigos: A dataset for affect, personality and mood research on individuals and groups
J. A. Miranda Correa, M. K. Abadi, N. Sebe, and I. Patras · 2018
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Introducing wesad, a multimodal dataset for wearable stress and affect detection
Philip Schmidt, Attila Reiss, Robert Duerichen, Claus Marberger, and Kristof Van Laerhoven · 2018
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An explainable deep fusion network for affect recognition using physiological signals
Jionghao Lin, Shirui Pan, Cheng Siong Lee, and Sharon Oviatt · 2019
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Self-supervised learning of 3d human pose using multi-view geometry
Muhammed Kocabas, Salih Karagoz, and Emre Akbas · 2019
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3d human pose machines with self-supervised learning
K. Wang, L. Lin, C. Jiang, C. Qian, and P. Wei · 2019
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Self-supervised spatio-temporal representation learning for videos by predicting motion and appearance statistics
Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu, and Wei Liu · 2019
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[Online]. Available: http://www.shimmersensing.com/products/shimmer3-ecg-sensor
Shimmer ecg · 2019
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[Online]. Available: https://www.biosignalsplux.com/index.php/respiban-professional
Respiban professional · 2019
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[Online]. Available: https://www.tmsi.com/products/mobi/
Tmsi-mobi · 2019
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A bayesian deep learning framework for end-to-end prediction of emotion from heartbeat
Ross Harper and Joshua Southern · 2019
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Multimodal emotion recognition using deep canonical correlation analysis
Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, and Bao-Liang Lu · 2019
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A comprehensive framework for student stress monitoring in fog-cloud iot environment: m-health perspective
Prabal Verma and Sandeep K Sood · 2019
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Multi-task self-supervised learning for robust speech recognition
M. Ravanelli, J. Zhong, S. Pascual, P. Swietojanski, J. Monteiro, J. Trmal, and Y. Bengio · 2020
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Self-supervised learning for ecg-based emotion recognition
P. Sarkar and A. Etemad · 2020
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Automatic ecg-based emotion recognition in music listening
Y. Hsu, J. Wang, W. Chiang, and C. Hung · 2020
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