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We present an electrocardiogram (ECG) -based emotion recognition system using self-supervised learning.
“Toward machine emotional intelligence: Analysis of affective physiological state,”
Rosalind W. Picard, Elias Vyzas, and Jennifer Healey, · 2001
Earlier work this paper cites.
“Detecting stress during real-world driving tasks using physiological sensors,”
Jennifer A Healey and Rosalind W Picard, · 2005
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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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“Dynamic difficulty adjustment in computer games through real-time anxiety-based affective feedback,”
Changchun Liu, Pramila Agrawal, Nilanjan Sarkar, and Shuo Chen, · 2009
Earlier work this paper cites.
“Open information extraction using wikipedia,”
Fei Wu and Daniel S Weld, · 2010
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“Reliability of ultra-short ecg indices for heart rate variability,”
Udi Nussinovitch, Keren Politi Elishkevitz, Keren Katz, Moshe Nussinovitch, Shlomo Segev, Benjamin Volovitz, and Naomi Nussinovitch, · 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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“Adam: A method for stochastic optimization,”
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
Earlier work this paper cites.
“Detecting work stress in offices by combining unobtrusive sensors,”
Saskia Koldijk, Mark A Neerincx, and Wessel Kraaij, · 2016
Cited alongside, same era.
“Transitive invariance for self-supervised visual representation learning,”
Xiaolong Wang, Kaiming He, and Abhinav Gupta, · 2017
Cited alongside, same era.
Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, and Dana Kulić, · 2017
Cited alongside, same era.
“Stress detection in working people,”
S Sriramprakash, Vadana D Prasanna, and OV Ramana Murthy, · 2017
Cited alongside, same era.
“Amigos: A dataset for affect, personality and mood research on individuals and groups,”
Juan Abdon Miranda Correa, Mojtaba Khomami Abadi, Nicu Sebe, and Ioannis Patras, · 2018
Cited alongside, same era.
“Self-supervised learning of 3d human pose using multi-view geometry,”
Muhammed Kocabas, Salih Karagoz, and Emre Akbas, · 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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“Multi-task self-supervised learning for human activity detection,”
Aaqib Saeed, Tanir Ozcelebi, and Johan Lukkien, · 2019
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“Self-supervised spatiotemporal learning via video clip order prediction,”
Dejing Xu, Jun Xiao, Zhou Zhao, Jian Shao, Di Xie, and Yueting Zhuang, · 2019
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[Accessed: 2019-09-17]
“Mobi device (tmsi),” [Online]. Available: · 2019
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[Accessed: 2019-09-17]
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“Using deep convolutional neural network for emotion detection on a physiological signals dataset (amigos),”
Luz Santamaria-Granados, Mario Munoz-Organero, Gustavo Ramirez-Gonzalez, Enas Abdulhay, and NJIA Arunkumar, · 2018
Cited alongside, same era.
“Using smart offices to predict occupational stress,”
Ane Alberdi, Asier Aztiria, Adrian Basarab, and Diane J Cook, · 2018
Cited alongside, same era.
Pritam Sarkar, Kyle Ross, Aaron J Ruberto, Dirk Rodenburg, Paul Hungler, and Ali Etemad, · 2019
Cited alongside, same era.
“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
Cited alongside, same era.
“Shimmer ecg,” [Online]. Available: · 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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“A bayesian deep learning framework for end-to-end prediction of emotion from heartbeat,”
Ross Harper and Joshua Southern, · 2019
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