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

Approaches, Advances, and Applications

from Part V - Methodological Approaches to the Study of the Effects of Aging on Emotion Communication

Published online by Cambridge University Press:  07 December 2023

By
Daniel N. Albohn ,
Joseph C. Brandenburg  and
Reginald B. Adams
Edited by
Ursula Hess ,
Reginald B. Adams, Jr.  and
Robert E. Kleck
Ursula Hess
Affiliation:
Humboldt-Universität zu Berlin
Reginald B. Adams, Jr.
Affiliation:
Pennsylvania State University
Robert E. Kleck
Affiliation:
Dartmouth College, New Hampshire
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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.

Keywords

Computer VisionMachine LearningAge-Related Facial AppearanceEmotional ExpressionsFace Generation and Manipulation
Type
Chapter
Information
Emotion Communication by the Aging Face and Body
A Multidisciplinary View
 , pp. 265 - 285
Publisher: Cambridge University Press
Print publication year: 2023

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References

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