Диссертация (1145703), страница 16
Текст из файла (страница 16)
– 2007. – V. 33, № 4. – P. 388 – 393.79. Gouizi K., Bereksi Reguig F., Maaoui C. Emotion recognition fromphysiological signals // Journal of Medical Engineering and Technology. – 2011. – V.35, № 6–7. – P. 300 – 307.80. Granhag P.A., Stromwall L.A. The Detection of Deception in ForensicContext. Cambridge University Press, 2004. - 360 p.81. Gray J., McNaughton N. The neuropsychology of anxiety: An inquiry intothe functions of the septo-hippocampal system. - Oxford University Press, 2000.–443p.82. Guyton A., Hall J. Textbook of Medical Physiology.
– Philadelphia, PA:Elsevier, 2016. – 1145 p.83. Hallett M. Classification and treatment of tremor // JAMA. – 1991. – V. 266.P. 115 - 117.84. Harwell R.C., Ferguson R.L. Physiologic tremor and microsurgery //Microsurgery. – 1983. – V. 4. – P. 187 – 192.85. Healey J., Picard R. Detecting stress during real-world driving tasks usingphysiological sensors // IEEE Transactions on Intelligent Transportation Systems. –2005. – V. 6, № 2. – P. 156 – 166.86.
Heath R.G. Intracranial self-stimulation in man. // Science. – 1963. - V. 140.- P. 394-396.87. Hebb D. O. Drives and CNS (conceptual nervous system) // PsychologicalReview. – 1955. – V. 62. - P. 243-254.10588. Herrick C.J. The evolution of human nature. – University of Texas Press,1956. – p. 506.89. Hess E. Pupillometrics: a method of studying mental, emotional and sensoryprocesses / In: Greenfield N. S. (Ed.) Handbook of Psychophysiology. – New York:Holt, Rinehart and Winston, 1972.
- 1011 p.90. Hess E., Petrovich S. Pupillary behavior in communication, in NonverbalBehavior and Communication. – Erlbaum: Hillsdale, 1987. - P. 327 – 348.91. Heuberger E., Hongratanaworakit T., Bohm C., Weber R., Buchbauer G.Effects of chiral fragrances on human autonomic nervous system parameters and selfevaluation // Chem. Sens. – 2001. - V.
263. - P. 281 - 292.92. Hinoing F., Wagner J., Noth A. Classification of user states withphysiological signals: on-line generic features vs sp ecialized feature sets / In: 17-thEuropean Signal Processing Conference. – 2009. - P. 2357 – 2361.93. Hovanitz C., Filippides M., Lindsay D., Scheff J.
Muscle Tension andPhysiologicHyperarousal,Performance,andStateActivity:AssessingtheIndependence of Effects in Frequent Headache and Depression // AppliedPsychophysiology and Biofeedback. – 2002. - V. 27, № 1. – P. 29 – 44.94. Huang L., Xin L., Zhao L., Tao J. Combining audio and video by dominancein bimodal emotion recognition / In: Proceedings of the 2nd International Conferenceon Affective Computing and Intelligent Interaction. – 2007. - P. 729 – 730.95. Izard C. The face of emotion. - New York: Appleton-Century-Crofts, 1971. –468 p.96. Jackson D.
W., Rahman M. A., Smith L. J., Burns A., Senecal L. McArthurD. Properties of human affect induced by static color slides (IAPS): Dimensional,categorical and electromyographic analysis // Biological Psychology. – 1995. – V.41,№ 3. – P. 229 – 253.10697. James W. What is an emotion? // Mind. – 1884. - V.9. - P. 188-205.98. Janisse M. Pupil size, affect and exposure frequency // Soc.
Behav. Pers. –1974. – V. 2, № 2. – P. 125 – 146.99. Jasper H. H. The ten-twenty electrode system of the International Federation// Electroencephalography and Clinical Neurophysiology.- 1958. - V.10 – P. 371 - 375.100. Jung J. L., Bayle D., Jerbi K., Vidal J. R., Henaff M. A., Ossandon T.,Bertrand O., Mauguiere F., Lachaux J. P. Intracerebral gamma modulations revealinteraction between emotional processing and action outcome evaluation in the humanorbitofrontal cortex // Int.
J. Psychophysiol. – 2011. – V. 79, № 1. – P. 64 – 72.101. Kass M, Witkin A., Terzopoulus D. Snakes: active contour models // Int. J.Comput. Vis. – 1988. - V. 1, № 4. – P. 321 – 331.102. Katsis C., Katertsidis N., Ganiatsas G., Fotiadis D.
Toward emotionrecognition in car-racing drivers: A biosignal processing approach // IEEETransactions on Systems, Man and Cybernetics, Part A: Systems and Humans. – 2008.– V. 38, № 3. – P. 502 – 512.103. Katsis C., Katertsidis N., Fotiadis D. An integrated system based onphysiological signals for the assessment of affective states in patients with anxietydisorders // Biomed. Signal Process. Control. – 2010. – V.
6, № 3. – P. 261 – 268.104. Keil A., Muller M. M., Gruber T., Wienbruch C., Stolarova M., Elbert T.Effects of emotional arousal in the cerebral hemispheres: a study of oscillatory brainactivity and event-related potentials // Clin. Neurophysiol. – 2001.
– V. 112, №11. – P.2057 – 2068.105. Khezri M., Firoozabadi M., Sharafat A. R. Reliable emotion recognitionsystem based on dynamic adaptive fusion of forehead biopotentials and physiologicalsignals // Computer Methods and Programs in Biomedicine. – 2015. – V. 122, № 2. –P. 149 – 164.107106. Kim J., André E. Emotion recognition based on physiological changes inmusic listening // IEEE Transactions on Pattern Analysis and Machine Intelligence.
–2008. – V. 30, № 12. – P. 206– 2083.107. Kinsbourne M., Cook J. Generalized and Lateralized Effects of ConcurrentVerbalization on a Unimanual Skill // Quarterly J. of Experimental Psychology. –1971. – V. 23. – P. 341 - 245.108. Kirby M., Sirovich L. Application of the Karhunen–Loeve procedure forthe characterization of human faces // IEEE Transactions on Pattern Analysis andMachine Intelligence.
– 1990. – V. 12, № 1. – P. 103 – 108.109. Kislova O. O., Rusalova M. N. EEG Asymmetry in Humans: Relationshipwith Success in Recognizing Emotions in the Voice // Neuroscience and BehavioralPhysiology. – 2009. – V. 39, № 9. – P. 825 – 831.110. Kloet E.R., Joels M., Holsboer F. Stress and the brain: from adaptation todisease. // Nat. Rev.
Neurosci. – 2005. - V.6. - P. 463-475.111. Knyazev G., Slobodskoj‐Plusnin J., Bocharov A. Event‐related delta andtheta synchronization during explicit and implicit emotion processing // Neuroscience.– 2009. – V. – 164, № 4. – P. 1588 – 1600.112. Kobayashi H., Hara F. The recognition of basic facial expressions by neuralnetwork // Trans. Soc. Instrum. Contr. Eng. – 1993. V. 29, № 1. – P. 112 – 118.113. Koelstra S., Muhl C., Soleymani M., Lee J., Yazdani A., Ebrahimi T., PunT., Nijholt A., Patras I. DEAP: a database for emotion analysis using physiologicalsignals // IEEE Transactions on Affective Computing. – 2012. – V. 3, № 1. – P.
18 31.114. Kramer A. F. Physiological metrics of mental workload: a review of recentprogress / In: Damos D.L. (Ed.) Multiple-task performance. - Taylor & Francis:London, 1991. – P. 279 – 328.108115. Krishnan V., Nestler E.J. The molecular neurobiology of depression. //Nature. – 2008. - V.455. - P. 894-902.116. Lanatà A., Valenza G., Scilingo E.
Eye gaze patterns in emotional pictures// J. Ambient Intell. Humaniz. Comput. – 2013. – V. 4, № 6, - P. 705 – 715.117. Lang P., Bradley M., Cuthbert B. Emotion, motivation, and anxiety: Brainmechanisms and psychophysiology // Biological Psychiatry. - 1998 – V. 44, № 12. –P.1248–1263.118. Lang P., Greenwald M., Bradley M., Hamm A. Looking at pictures:affective, facial, visceral, and behavioral reactions // Psychophysiology. – 1993. – V.30, № 3. – P. 261 – 273.119. Lang P. J, Bradley M.
M., Cuthbert B. N. International affective picturesystem (IAPS): affective ratings of pictures and instruction manual. (Technical reportA-8). – Gainesville FL: University of Florida, 2008.120. LeDoux J.E. The emotional brain. Simon and Schuster: New York, 1996.
–p. 384.121. Legge G.E., Campbell F.W. Displacement detection in human vision //Vision Res. – 1981. – V. 21. – P. 205 – 213.122. Lindsey D. B. Emotion / In: Stevens S.S. (Ed.) Handbook of experimentalpsychology. - N.Y.: J. Wiley, 1951. – P. 473-516.123. Loewenfeld I. Comment on Hess’ findings // Surv. Ophthalmol. – 1966. –V. 11. – P. 293 – 294.124. Longford N.T. Statistical Decision Theory. – Springer, 2013. – 126 p.125. Marsden C. D., Owen D. A. L. Mechanisms underlying emotional variationin parkinsonian tremor // Neurology.
– 1967. – V. 17. – P. 711 - 715.109126. Matsumoto D., Ekman P. Basic emotions / In: Sander D., Scherer K.R.(Eds.), Oxford Companion to Emotion and the Affective Sciences. - Oxford UniversityPress: Oxford, 2009. – P. 499.127. McIntyre G., Gocke R. The Composite Sensing of Affect // In: Peter C.,Beale R. (Eds.) Affect and Emotion in HCI. LNCS 4868. - Springer, 2008. P. 104–115.128.
Mehrabian A., Pleasure-arousal-dominance: A general framework fordescribing and measuring individual differences in temperament // CurrentPsychology. – 1996. - V. 14. - P. 261 - 292.129. Moghaddam B., Pentland A. Beyond Euclidean Eigenspaces: BayesianMatching for Visual Recognition / In: Wechsler H., Phillips P. J., Soulie F. F., HuangT. S. (Eds.) Face Recognition: From Theories to Applications. – Springer: Berlin,1998. – 636 p.130. Moray N. Attention in dichotic listening: Affective cues and the infuence ofinstructions // Quarterly Journal of Experimental Psychology.–1959.–V. 11.–P. 56–60.131.
Murugappan M., Rizon M., Nagarajan R., Yaacob S., Zunaidi I., Hazry D.Lifting scheme for human emotion recognition using EEG / In: Proceedings of theInternational Symposium on Information Technology. – 2008. - P. 1 – 7.132. Murugappan M., Nagarajan R., Yaacob S. Combining spatial filtering andwavelet transform for classifying human emotions using EEG signals // J. Med. Biol.Eng. – 2011. – V. 31, № 1. – P.
45 – 51.133. Nermend K., Latuszynska M. Neuroeconomic and Behavioral Aspects ofDecision Making. / In: Proceedings of the Computational Methods in ExperimentalEconomics (CMEE) Conference. – Springer, 2014. - 409 p.134. Norris C. J., Larsen J. T., Cacioppo J. T. Neuroticism is associated withlarger and more prolonged electrodermal responses to emotionally evocative pictures //Psychophysiology. – 2007. – V. 44, № 5. – P. 823 – 826.110135. Oathes D. J., Ray W. J., Yamasaki A. S., Borkovec T.
D., Castonguay L.G., Newman M. G., Nitschke J. Worry, generalized anxiety disorder, and emotion:evidence from the EEG gamma band // Biol. Psychol. – 2008–V. 79, № 2.–P. 165–170.136. Olds J., Milner P. Positive reinforcement produced by electrical stimulationof septal area and other regions of rat brain.