Intersession Instability in fNIRS-Based Emotion Recognition
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Zheng Li | Chaozhe Zhu | Lian Duan | Yuxia Huang | Feichi Wang | Mengchai Mao | Chaozhe Zhu | Lian Duan | Zheng Li | Mengchai Mao | Yuxia Huang | Feichi Wang
[1] Yoko Mano,et al. Decoding what one likes or dislikes from single-trial fNIRS measurements , 2011, Neuroreport.
[2] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[3] L. Pessoa. A Network Model of the Emotional Brain , 2017, Trends in Cognitive Sciences.
[4] Shiliang Sun,et al. A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).
[5] Hirotoshi Asano,et al. The evaluation of the emotion by near-infrared spectroscopy , 2012, Artificial Life and Robotics.
[6] D. Boas,et al. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. , 2009, Applied optics.
[7] M. Fukuda,et al. Subjective feeling of psychological fatigue is related to decreased reactivity in ventrolateral prefrontal cortex , 2009, Brain Research.
[8] J. Russell. Core affect and the psychological construction of emotion. , 2003, Psychological review.
[9] T. Falk,et al. Taking NIRS-BCIs Outside the Lab: Towards Achieving Robustness Against Environment Noise , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[10] Joseph E LeDoux. Emotion Circuits in the Brain , 2000 .
[11] Luke J. Chang,et al. A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect , 2015, PLoS biology.
[12] Katherine Vytal,et al. Neuroimaging Support for Discrete Neural Correlates of Basic Emotions: A Voxel-based Meta-analysis , 2010, Journal of Cognitive Neuroscience.
[13] James C. Lester,et al. Evaluating the consequences of affective feedback in intelligent tutoring systems , 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.
[14] Martin Buss,et al. Feature Extraction and Selection for Emotion Recognition from EEG , 2014, IEEE Transactions on Affective Computing.
[15] Sungho Tak,et al. NIRS-SPM: statistical parametric mapping for near infrared spectroscopy , 2008, SPIE BiOS.
[16] Xiang Xiao,et al. Semi-automatic 10/20 Identification Method for MRI-Free Probe Placement in Transcranial Brain Mapping Techniques , 2017, Front. Neurosci..
[17] T. Chau,et al. Automatic detection of a prefrontal cortical response to emotionally rated music using multi-channel near-infrared spectroscopy , 2012, Journal of neural engineering.
[18] T. Chau,et al. Using prefrontal cortex near-infrared spectroscopy and autonomic nervous system activity for identifying music-induced emotions , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).
[19] J. Gross,et al. The Neural Bases of Emotion Regulation: Reappraisal and Suppression of Negative Emotion , 2008, Biological Psychiatry.
[20] Tom Chau,et al. Decoding subjective preference from single-trial near-infrared spectroscopy signals , 2009, Journal of neural engineering.
[21] M Hallett,et al. Changes in mood and hormone levels after rapid-rate transcranial magnetic stimulation (rTMS) of the prefrontal cortex. , 1996, The Journal of neuropsychiatry and clinical neurosciences.
[22] P. Lang. International affective picture system (IAPS) : affective ratings of pictures and instruction manual , 2005 .
[23] Kasia Muldner,et al. Emotion Sensors Go To School , 2009, AIED.
[24] Claus C. Hilgetag,et al. Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala , 2007, NeuroImage.
[25] Keum-Shik Hong,et al. fNIRS-based brain-computer interfaces: a review , 2015, Front. Hum. Neurosci..
[26] Arthur C. Graesser,et al. A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning , 2010, Intelligent Tutoring Systems.
[27] Yang Tingzhong,et al. Applicability of the Positive and Negative Affect Scale in Chinese , 2003 .
[28] F. Cincotti,et al. Developing brain-computer interfaces from a user-centered perspective: Assessing the needs of persons with amyotrophic lateral sclerosis, caregivers, and professionals. , 2015, Applied ergonomics.
[29] David A Boas,et al. Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging. , 2005, Journal of biomedical optics.
[30] M. Bradley,et al. Measuring emotion: the Self-Assessment Manikin and the Semantic Differential. , 1994, Journal of behavior therapy and experimental psychiatry.
[31] Vladimir Cherkassky,et al. The Nature Of Statistical Learning Theory , 1997, IEEE Trans. Neural Networks.
[32] P. Ekman,et al. The nature of emotion: Fundamental questions. , 1994 .
[33] E. Bullmore,et al. Statistical methods of estimation and inference for functional MR image analysis , 1996, Magnetic resonance in medicine.
[34] Keum-Shik Hong,et al. Detection and classification of three-class initial dips from prefrontal cortex. , 2017, Biomedical optics express.
[35] Keum-Shik Hong,et al. Reduction of trial-to-trial variability in functional near-infrared spectroscopy signals by accounting for resting-state functional connectivity , 2013, Journal of biomedical optics.
[36] Arthur C. Graesser,et al. Toward an Affect-Sensitive AutoTutor , 2007, IEEE Intelligent Systems.
[37] K. Hong,et al. Decoding four different sound-categories in the auditory cortex using functional near-infrared spectroscopy , 2016, Hearing Research.
[38] Xu Cui,et al. Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics , 2010, NeuroImage.
[39] Changes in Women's Emotions as a Function of Emotion Valence, Self-Determined Category of Premenstrual Distress, and Day in the Menstrual Cycle , 1997, Psychological reports.
[40] I. Miyai,et al. Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis. , 2007, Journal of biomedical optics.
[41] Anton Nijholt,et al. Emotional brain-computer interfaces , 2009, ACII.
[42] T. Egner,et al. Emotional processing in anterior cingulate and medial prefrontal cortex , 2011, Trends in Cognitive Sciences.
[43] Cristina Conati,et al. Empirically building and evaluating a probabilistic model of user affect , 2009, User Modeling and User-Adapted Interaction.
[44] Tanja Schultz,et al. Continuous Recognition of Affective States by Functional Near Infrared Spectroscopy Signals , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.
[45] Rafael A. Calvo,et al. Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications , 2010, IEEE Transactions on Affective Computing.
[46] Daniel Afergan,et al. Investigation of fNIRS brain sensing as input to information filtering systems , 2013, AH.
[47] T. Chau,et al. Single-trial classification of NIRS signals during emotional induction tasks: towards a corporeal machine interface , 2009, Journal of NeuroEngineering and Rehabilitation.
[48] Paul Pauli,et al. Prefrontal Brain Activation During Emotional Processing: A Functional Near Infrared Spectroscopy Study (fNIRS) , 2011, The open neuroimaging journal.
[49] Keum-Shik Hong,et al. State-space models of impulse hemodynamic responses over motor, somatosensory, and visual cortices. , 2014, Biomedical optics express.
[50] Martin Wolf,et al. A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology , 2014, NeuroImage.
[51] D. Watson,et al. Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.
[52] T. Chau,et al. Characterizing emotional response to music in the prefrontal cortex using near infrared spectroscopy , 2012, Neuroscience Letters.
[53] Rajesh P. N. Rao,et al. Towards adaptive classification for BCI , 2006, Journal of neural engineering.
[54] J. Cohen,et al. Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. , 2000, Science.
[55] Miyoung Kim,et al. A Review on the Computational Methods for Emotional State Estimation from the Human EEG , 2013, Comput. Math. Methods Medicine.
[56] Y. Niv,et al. Interaction between emotional state and learning underlies mood instability , 2015, Nature communications.