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2 results

  • Chapter 11 - Computer Vision for the Study of Older (and Younger) Adult Faces

  • from Part V - Methodological Approaches to the Study of the Effects of Aging on Emotion Communication
  • Edited by Ursula Hess, Humboldt-Universität zu Berlin, Reginald B. Adams, Jr., Pennsylvania State University, Robert E. Kleck, Dartmouth College, New Hampshire
  • Book:
    Emotion Communication by the Aging Face and Body
    Published online:
    07 December 2023
    Print publication:
    07 December 2023, pp 265-285

  • Summary

    Computer vision and machine learning are rapidly advancing fields of study. For better or worse, these tools have already permeated our everyday lives and are used for everything from auto-tagging social media images to curating what we view in our news feed. In this chapter, we discuss historical and contemporary approaches used to study face recognition, detection, manipulation, and generation. We frame our discussion within the context of how this work has been applied to the study of older adults, but also acknowledge that more work is needed both within this domain as well as at its intersection with, e.g., race and gender. Throughout the chapter we review, and at the end offer links to (Table 11.1), a number of resources that researchers can start using now in their research. We also discuss ongoing concerns related to the ethics of artificial intelligence and to using this emerging technology responsibly.

  • CHAPTER 13 - Love Letters and Hate Mail

  • from Section III - Emotion Perception and Elicitation
  • Edited by Jorge Armony, McGill University, Montréal, Patrik Vuilleumier, Université de Genève
  • Book:
    The Cambridge Handbook of Human Affective Neuroscience
    Published online:
    05 February 2013
    Print publication:
    21 January 2013, pp 304-329

  • Summary

    This chapter explains how facial expressions of emotions are produced and which physical features of the face convey emotional expressions. It talks about neural substrates of the perception of emotion from faces, addressing the brain regions involved and the temporal dynamics of their responses. The chapter discusses other aspects of faces that are related to emotion perception and elicitation. It reviews two main types of models that have been proposed to classify the facial expressions of emotions. In addition, the role of the amygdala extends to the perception of emotion from other cues than faces. The chapter further reviews the role of the main regions involved in the perception of emotions from faces. It talks about the pulvinar, and then describes the involvement of the regions classically associated with the perceptual analysis of faces. The chapter briefly mentions other cortical regions that have general roles in emotion.