Predictor-based Control of Excitement as Human Response Signal to a Dynamic Virtual 3D Face
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[1] Ronald Soeterboek,et al. Predictive Control: A Unified Approach , 1992 .
[2] Ausra Vidugiriene,et al. Predictor-based control of human emotions when reacting to a dynamic virtual 3D face stimulus , 2015, 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO).
[3] Karl Johan Åström,et al. Computer-Controlled Systems: Theory and Design , 1984 .
[4] Vytautas Kaminskas,et al. Practical issues in the implementation of predictor-based self-tuning control systems , 1993 .
[5] E. Camacho,et al. Generalized Predictive Control , 2007 .
[6] E. Lamounier,et al. On the Agile Development of Virtual Reality Systems , 2015 .
[7] Yuan-Pin Lin,et al. EEG-Based Emotion Recognition in Music Listening , 2010, IEEE Transactions on Biomedical Engineering.
[8] David Clarke,et al. Advances in model-based predictive control , 1994 .
[9] Vytautas Kaminskas,et al. Self-Tuning Constrained Control of a Power Plant , 1989 .
[10] Vytautas Kaminskas,et al. Minimum variance control of human emotion as reactions to a dynamic virtual 3D face , 2016, 2016 IEEE 4th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE).
[11] Vytautas Kaminskas,et al. Self-Tuning Control of a Stochastic Non-Linear Object , 1990 .
[12] George Caridakis,et al. Affective, Natural Interaction Using EEG: Sensors, Application and Future Directions , 2012, SETN.
[13] V. Peterka,et al. Predictor-based self-tuning control , 1982, Autom..
[14] Jordan J. Louviere,et al. Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking , 2013, Expert Syst. Appl..
[15] K. Åström. Introduction to Stochastic Control Theory , 1970 .
[16] Suprijanto,et al. Development System for Emotion Detection Based on Brain Signals and Facial Images , 2009 .
[17] Ausra Vidugiriene,et al. A Comparison of Hammerstein-Type Nonlinear Models for Identification of Human Response to Virtual 3D Face Stimuli , 2016, Informatica.
[18] CONSTRAINED SELF-TUNING CONTROL OF STOCHASTIC EXTREMAL SYSTEMS , 1991 .
[19] Olga Sourina,et al. A Fractal-based Algorithm of Emotion Recognition from EEG using Arousal-Valence Model , 2011, BIOSIGNALS.
[20] Tegan Harrison,et al. The Emotiv mind: Investigating the accuracy of the Emotiv EPOC in identifying emotions and its use i , 2013 .
[21] Venkataramanan Balakrishnan,et al. System identification: theory for the user (second edition): Lennart Ljung; Prentice-Hall, Englewood Cliffs, NJ, 1999, ISBN 0-13-656695-2 , 2002, Autom..
[22] Vytautas Kaminskas,et al. Predictor-Based Control of Human Response to a Dynamic 3D Face Using Virtual Reality , 2018, Informatica.
[23] Vytautas Kaminskas,et al. Predictor-Based Self Tuning Control with Constraints , 2007 .
[24] Vytautas Kaminskas,et al. Self-Tuning Control of the Nuclear Reactor Power , 1990 .
[25] Rolf Isermann. Digital Control Systems , 1981 .
[26] Nadine Gottschalk,et al. Computer Controlled Systems Theory And Design , 2016 .
[27] Ausra Vidugiriene,et al. Modeling Human Emotions as Reactions to a Dynamical Virtual 3D Face , 2014, Informatica.
[28] Rana El Kaliouby,et al. Emotion detection using noisy EEG data , 2010, AH.
[29] Petre Stoica,et al. Decentralized Control , 2018, The Control Systems Handbook.
[30] Ausra Vidugiriene,et al. Identification of Human Response to Virtual 3D Face Stimuli , 2014, Inf. Technol. Control..