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Relevant bibliographies by topics / Binary facial expression recognition / Books

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Books on the topic 'Binary facial expression recognition'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Young, A. W. Facial Expression Recognition. Psychology Press, 2016. http://dx.doi.org/10.4324/9781315715933.

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2

Bai, Xiang, Yi Fang, Yangqing Jia, et al., eds. Video Analytics. Face and Facial Expression Recognition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12177-8.

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3

Ji, Qiang, Thomas B. Moeslund, Gang Hua, and Kamal Nasrollahi, eds. Face and Facial Expression Recognition from Real World Videos. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13737-7.

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4

Nasrollahi, Kamal, Cosimo Distante, Gang Hua, et al., eds. Video Analytics. Face and Facial Expression Recognition and Audience Measurement. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56687-0.

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5

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

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6

Our biometric future: Facial recognition technology and the culture of surveillance. New York University Press, 2011.

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7

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

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8

The Oxford handbook of face perception. Oxford University Press, 2011.

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9

Fang, Yi, Chunhua Shen, Shuicheng Yan, et al. Video Analytics. Face and Facial Expression Recognition. Springer, 2019.

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10

Calder, Andrew J. Does Facial Identity and Facial Expression Recognition Involve Separate Visual Routes? Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780199559053.013.0022.

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11

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

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12

Facial Expression Recognition: The Selected Works of Andy Young. Taylor & Francis Group, 2016.

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13

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

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14

Facial Recognition Technology: Best Practices, Future Uses and Privacy Concerns. Nova Science Pub Inc, 2013.

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15

Scherer, Klaus, Marcello Mortillaro, and Marc Mehu. Facial Expression Is Driven by Appraisal and Generates Appraisal Inference. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0019.

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Emotion researchers generally concur that most emotions in humans and animals are elicited by the appraisals of events that are highly relevant for the organism, generating action tendencies that are often accompanied by changes in expression, autonomic physiology, and feeling. Scherer’s component process model of emotion (CPM) postulates that individual appraisal checks drive the dynamics and configuration of the facial expression of emotion and that emotion recognition is based on appraisal inference with consequent emotion attribution. This chapter outlines the model and reviews the accrued empirical evidence that supports these claims, covering studies that experimentally induced specific appraisals or that used induction of emotions with typical appraisal configurations (measuring facial expression via electromyographic recording) or behavioral coding of facial action units. In addition, recent studies analyzing the mechanisms of emotion recognition are shown to support the theoretical assumptions.

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16

Social Signal Processing. Cambridge University Press, 2017.

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17

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

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18

(Editor), Robert N. Emde, Joy D. Osofsky (Contributor, Editor), and Perry M. Butterfield (Editor), eds. The Ifeel Pictures: A New Instrument for Interpreting Emotions (Clinical Infant Reports). International Universities Press, 1993.

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19

Provine, Robert R. Beyond the Smile. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0011.

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With the expectation that innovation, insight, and discovery will come from researching neglected topics, this chapter explores human instincts, including yawning, laughing, vocal crying, emotional tearing, coughing, nausea and vomiting, itching and scratching, and changes in scleral color. The critical change approach is exploited to analyze recently evolved, uniquely human traits (e.g., human-type laughter and speech, emotional tearing, scleral color cues) and compare them with thir primate antecendents, seeking the specific neurological, glandular, and muscular processes responsible for their genesis. Particular attention is paid to contagious behaviors, with the anticipation that they may reveal the roots of sociality and empathy. Few of these curious behaviors are traditionally considered in the context of facial expression or emotion, but they deserve recognition for what they can contribute to behavioral neuroscience and social biology.

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