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Books on the topic 'Recognition of emotions'

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Author: Grafiati
Published: 10 March 2023

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1

Yang, Yi-Hsuan. Music emotion recognition. Boca Raton, Fla: CRC, 2011.

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2

My mixed emotions: Help your kids handle their feelings. New York, New York: Dorling Kindersley, 2018.

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3

H, Chen Homer, ed. Music emotion recognition. Boca Raton, Fla: CRC, 2011.

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4

A, Tsihrintzis George, ed. Visual affect recognition. Amsterdam: IOS Press, 2010.

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5

Gevarter, William B. MoCogl: A computer simulation of recognition-primed human decision making, considering emotions. [Washington, DC?: National Aeronautics and Space Administration, 1992.

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6

author, Mao Qirong, Lin, Qing, active 2013 author, and Cheng Keyang author, eds. Shi jue yu yin qing gan shi bie. Beijing: Ke xue chu ban she, 2013.

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7

N, Emde Robert, Osofsky Joy D, and Butterfield Perry M. 1932-, eds. The IFEEL pictures: A new instrument for interpreting emotions. Madison, Conn: International Universities Press, 1993.

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8

Lambelet, Clément. Happiness is the only true emotion: Clément Lambelet. Paris]: RVB books, 2019.

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9

Michela, Balconi, ed. Neuropsychology and cognition of emotional face comprehension, 2006. Trivandrum, India: Research Signpost, 2006.

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10

Konar, Amit, and Aruna Chakraborty, eds. Emotion Recognition. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118910566.

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11

Jain, L. C. Modeling machine emotions for realizing intelligence: Foundations and applications. Berlin: Springer-Verlag, 2010.

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12

Chen, Luefeng, Min Wu, Witold Pedrycz, and Kaoru Hirota. Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61577-2.

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13

Kelly, Karen Jeanne. Metacognition of Emotion Recognition. [New York, N.Y.?]: [publisher not identified], 2013.

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14

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Emotion Recognition using Speech Features. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5143-3.

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15

Anne, Koteswara Rao, Swarna Kuchibhotla, and Hima Deepthi Vankayalapati. Acoustic Modeling for Emotion Recognition. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15530-2.

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16

Dutta, Paramartha, and Asit Barman. Human Emotion Recognition from Face Images. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3883-4.

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17

David, Hutchison. Affect and Emotion in Human-Computer Interaction: From Theory to Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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18

Grekow, Jacek. From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70609-2.

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19

Linick, Jessica Leah. Emotion Recognition, Emotion Regulation, and Callous: Unemotional Traits in Incarcerated Male Youth. [New York, N.Y.?]: [publisher not identified], 2012.

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20

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Robust Emotion Recognition using Spectral and Prosodic Features. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6360-3.

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21

Matsumoto, Akiko. Emotion Recognition Education in Western Art Music Appreciation. [New York, N.Y.?]: [publisher not identified], 2021.

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22

Rao, K. Sreenivasa. Robust Emotion Recognition using Spectral and Prosodic Features. New York, NY: Springer New York, 2013.

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23

Mary, Leena. Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91171-7.

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24

Lambrecht, Lena. Influence of age and gender on recognition of emotional prosody and emotional facial expression. [S.l: s.n.], 2013.

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25

Kienapple, Cassandre. The influence of the emotional tone of words on recognition. Sudbury, Ont: Laurentian University, Department of Psychology, 1992.

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26

Valenza, Gaetano, and Enzo Pasquale Scilingo. Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02639-8.

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27

Wallbott, Harald G. Recognition of emotion from facial expression via imitation?: Some indirect evidence for anold theory. Leicester: British Psychological Society, 1991.

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28

Konar, Amit, and Aruna Chakraborty. Emotion Recognition. Wiley & Sons, Incorporated, John, 2015.

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29

Yang, Yi-Hsuan, and Homer H. Chen. Music Emotion Recognition. Taylor & Francis Group, 2011.

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30

Yang, Yi-Hsuan, and Homer H. Chen. Music Emotion Recognition. Taylor & Francis Group, 2011.

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31

Yang, Yi-Hsuan, and Homer H. Chen. Music Emotion Recognition. Taylor & Francis Group, 2011.

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32

Yang, Yi-Hsuan, and Homer H. Chen. Music Emotion Recognition. Taylor & Francis Group, 2011.

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33

Widen, Sherri C. The Development of Emotion Recognition. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0016.

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At all ages, children interpret and respond to the emotions of others. Traditionally, it has been assumed that children’s emotion knowledge was based on an early understanding of facial expressions in terms of specific, discrete emotions. More recent evidence suggests that this assumption is incorrect. As described by the broad-to-differentiated hypothesis, children’s initial emotion concepts are broad and valence based. Gradually, children differentiate within these initial concepts by linking the different components of an emotion together (e.g., the cause to the consequence, etc.) until their concepts resemble adults’ emotion concepts. Contrary to traditional assumptions, facial expressions are neither the starting point for most emotion concepts nor are they the strongest cue to emotions. Instead, just like any other component of an emotion concept, facial expressions must be differentiated from the valence-based concepts and linked to the other components of the specific emotion concept.
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34

Knowing Emotions: Truthfulness and Recognition in Affective Experience. Oxford University Press, Incorporated, 2018.

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35

Furtak, Rick Anthony. Knowing Emotions: Truthfulness and Recognition in Affective Experience. Oxford University Press, Incorporated, 2020.

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36

Konar, Amit, and Aruna Chakraborty. Emotion Recognition: A Pattern Analysis Approach. Wiley & Sons, Limited, John, 2015.

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37

Konar, Amit, and Aruna Chakraborty. Emotion Recognition: A Pattern Analysis Approach. Wiley, 2015.

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38

Flores, Bruce. Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance. Nova Science Publishers, Incorporated, 2015.

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39

Chemi, Tatiana, Birthe Lund, and Sarah Grams Davy. Innovative Pedagogy: A Recognition of Emotions and Creativity in Education. BRILL, 2017.

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40

Chemi, Tatiana, Birthe Lund, and Sarah Grams Davy. Innovative Pedagogy: A Recognition of Emotions and Creativity in Education. BRILL, 2017.

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41

Chemi, Tatiana, Birthe Lund, and Sarah Grams Davy. Innovative Pedagogy: A Recognition of Emotions and Creativity in Education. BRILL, 2017.

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42

Konar, Amit, and Aruna Chakraborty. Emotion Recognition: A Pattern Analysis Approach. Wiley & Sons, Incorporated, John, 2014.

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43

Konar, Amit, and Aruna Chakraborty. Emotion Recognition: A Pattern Analysis Approach. Wiley & Sons, Incorporated, John, 2014.

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44

Grekow, Jacek. From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces. Springer, 2017.

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45

Grekow, Jacek. From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces. Springer, 2018.

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46

Handling Emotions In Humancomputer Dialogues. Springer, 2009.

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47

Pittermann, Angela, Johannes Pittermann, and Wolfgang Minker. Handling Emotions in Human-Computer Dialogues. Springer Netherlands, 2014.

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48

Pittermann, Angela, Johannes Pittermann, and Wolfgang Minker. Handling Emotions in Human-Computer Dialogues. Springer, 2009.

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49

Crivelli, Carlos, and Maria Gendron. Facial Expressions and Emotions in Indigenous Societies. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0026.

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In this chapter we critically review and evaluate the evidence supporting one of the core assumptions of basic and applied research on emotion: the pan-cultural “recognition” of facial expressions of “emotion.” We do so by focusing on the body of evidence, as well as the methods used in emotion perception studies conducted in indigenous, small-scale societies. We also assess the criteria used to interpret the results as supporting evidence for the universality thesis. Finally, we look forward to future research in indigenous societies and outline two potential research paths to advance our understanding of human diversity.
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50

Froeyman, Anton. History Ethics and the Recognition of the Other. Taylor & Francis Group, 2019.

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