Toward User-Independent Emotion Recognition Using Physiological Signals
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[1] Luca Citi,et al. Skin Admittance Measurement for Emotion Recognition: A Study over Frequency Sweep , 2016 .
[2] Jun Wang,et al. Generalizing DTW to the multi-dimensional case requires an adaptive approach , 2016, Data Mining and Knowledge Discovery.
[3] K. H. Kim,et al. Emotion recognition system using short-term monitoring of physiological signals , 2004, Medical and Biological Engineering and Computing.
[4] Enzo Pasquale Scilingo,et al. Improving emotion recognition systems by embedding cardiorespiratory coupling , 2013, Physiological measurement.
[5] Steven M. LaValle,et al. On the Relationship between Classical Grid Search and Probabilistic Roadmaps , 2004, Int. J. Robotics Res..
[6] Turhan Canli,et al. Individual differences in emotion processing , 2004, Current Opinion in Neurobiology.
[7] Francis Tuerlinckx,et al. The Relation Between Valence and Arousal in Subjective Experience Varies With Personality and Culture. , 2017, Journal of personality.
[8] P. Ekman. Are there basic emotions? , 1992, Psychological review.
[9] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[10] Jun Wang,et al. Sentence recognition from articulatory movements for silent speech interfaces , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Kostas Karpouzis,et al. The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data , 2007, ACII.
[12] Michael G. Madden,et al. An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition , 2010, SGAI Conf..
[13] Ian H. Witten,et al. Issues in Stacked Generalization , 2011, J. Artif. Intell. Res..
[14] J. Russell,et al. A 12-Point Circumplex Structure of Core Affect. , 2011, Emotion.
[15] William J. Emery,et al. Data Analysis Methods in Physical Oceanography , 1998 .
[16] C. E. Izard. Organizational and motivational functions of discrete emotions. , 1993 .
[17] M. Reinders,et al. Multi-Dimensional Dynamic Time Warping for Gesture Recognition , 2007 .
[18] Tarik Arici,et al. Robust gesture recognition using feature pre-processing and weighted dynamic time warping , 2014, Multimedia Tools and Applications.
[19] Fadel Adib,et al. Emotion recognition using wireless signals , 2016, MobiCom.
[20] Su-Lim Tan,et al. A biometric signature based system for improved emotion recognition using physiological responses from multiple subjects , 2010, 2010 8th IEEE International Conference on Industrial Informatics.
[21] Francis Tuerlinckx,et al. Predicting the duration of emotional experience: two experience sampling studies. , 2009, Emotion.
[22] B. T. Engel. Stimulus-Response and Individual-Response Specificity , 1960 .
[23] Nando de Freitas,et al. Taking the Human Out of the Loop: A Review of Bayesian Optimization , 2016, Proceedings of the IEEE.
[24] David Sander,et al. A systems approach to appraisal mechanisms in emotion , 2005, Neural Networks.
[25] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[26] M. Shamim Hossain,et al. Audio-visual emotion recognition using multi-directional regression and Ridgelet transform , 2016, Journal on Multimodal User Interfaces.
[27] Mohammad Soleymani,et al. A Multimodal Database for Affect Recognition and Implicit Tagging , 2012, IEEE Transactions on Affective Computing.
[28] J. Russell,et al. A Description of the Affective Quality Attributed to Environments , 1980 .
[29] J. Russell. Core affect and the psychological construction of emotion. , 2003, Psychological review.
[30] L. F. Barrett. Are Emotions Natural Kinds? , 2006, Perspectives on psychological science : a journal of the Association for Psychological Science.
[31] P. Totterdell,et al. Forecasting Feelings: The accuracy and effects of self-predictions of mood , 1997 .
[32] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[33] J. Gross,et al. The tie that binds? Coherence among emotion experience, behavior, and physiology. , 2005, Emotion.
[34] J. E. Rose,et al. Autonomic Nervous System Activity Distinguishes Among Emotions , 2009 .
[35] Zied Lachiri,et al. Emotion Classification in Arousal Valence Model using MAHNOB-HCI Database , 2017 .
[36] Rosalind W. Picard,et al. Empatica E3 — A wearable wireless multi-sensor device for real-time computerized biofeedback and data acquisition , 2014, 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH).
[37] Shane S. Sturrock,et al. Time Warps, String Edits, and Macromolecules – The Theory and Practice of Sequence Comparison . David Sankoff and Joseph Kruskal. ISBN 1-57586-217-4. Price £13.95 (US$22·95). , 2000 .
[38] K. Poels,et al. How to Capture the Heart? Reviewing 20 Years of Emotion Measurement in Advertising , 2006 .
[39] Hassan Ghasemzadeh,et al. Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges , 2017, Inf. Fusion.
[40] Bertrand Clarke,et al. Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored , 2003, J. Mach. Learn. Res..
[41] Fabien Ringeval,et al. End-to-end learning for dimensional emotion recognition from physiological signals , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[42] François Petitjean,et al. Satellite Image Time Series Analysis Under Time Warping , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[43] J. Russell,et al. Distinguishing anger and anxiety in terms of emotional response factors. , 1974, Journal of consulting and clinical psychology.
[44] Elisabeth André,et al. Emotion recognition based on physiological changes in music listening , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] C. Maaoui,et al. Emotion Recognition through Physiological Signals for Human-Machine Communication , 2010 .
[46] G. Stemmler,et al. Personality, emotion, and individual differences in physiological responses , 2010, Biological Psychology.
[47] Jennifer Healey,et al. Detecting stress during real-world driving tasks using physiological sensors , 2005, IEEE Transactions on Intelligent Transportation Systems.
[48] Christos D. Katsis,et al. Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[49] M. King,et al. Social desirability bias: A neglected aspect of validity testing , 2000 .
[50] Muhammad Ghulam,et al. User emotion recognition from a larger pool of social network data using active learning , 2017, Multimedia Tools and Applications.
[51] Yoshua Bengio,et al. Algorithms for Hyper-Parameter Optimization , 2011, NIPS.
[52] Jean-Philippe Thiran,et al. Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data , 2015, Pattern Recognit. Lett..
[53] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[54] Ó. Gonçalves,et al. The Emotional Movie Database (EMDB): A Self-Report and Psychophysiological Study , 2012, Applied psychophysiology and biofeedback.
[55] Olufemi A. Omitaomu,et al. Weighted dynamic time warping for time series classification , 2011, Pattern Recognit..
[56] Charu C. Aggarwal,et al. Feature Selection for Classification: A Review , 2014, Data Classification: Algorithms and Applications.
[57] I. van Mechelen,et al. Individual differences in core affect variability and their relationship to personality and psychological adjustment. , 2007, Emotion.
[58] Jürgen S. Sauer,et al. AniSAM & AniAvatar: Animated Visualizations of Affective States , 2016, CHI.
[59] M.H. Moradi,et al. Emotion detection using brain and peripheral signals , 2008, 2008 Cairo International Biomedical Engineering Conference.
[60] Marc D. Lewis. Bridging emotion theory and neurobiology through dynamic systems modeling , 2005, Behavioral and Brain Sciences.
[61] Thierry Pun,et al. DEAP: A Database for Emotion Analysis ;Using Physiological Signals , 2012, IEEE Transactions on Affective Computing.
[62] Chao Li,et al. Analysis of physiological for emotion recognition with the IRS model , 2016, Neurocomputing.
[63] Stéphane Bonnet,et al. Selection of the Most Relevant Physiological Features for Classifying Emotion , 2015, PhyCS.
[64] Giovanni Seni,et al. Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions , 2010, Ensemble Methods in Data Mining.
[65] Min Chen,et al. Emotion Communication System , 2017, IEEE Access.
[66] Peter Kuppens,et al. Individual differences in emotion components and dynamics: Introduction to the Special Issue , 2009 .
[67] R. Cabeza,et al. Cognitive neuroscience of emotional memory , 2006, Nature Reviews Neuroscience.
[68] Gary P. Pisano,et al. Toward a Theory of Behavioral Operations , 2008, Manuf. Serv. Oper. Manag..