Changes in Computer-Analyzed Facial Expressions with Age

Facial expressions are well known to change with age, but the quantitative properties of facial aging remain unclear. In the present study, we investigated the differences in the intensity of facial expressions between older (n = 56) and younger adults (n = 113). In laboratory experiments, the posed...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2021-07, Vol.21 (14), p.4858
Main Authors: Ko, Hyunwoong, Kim, Kisun, Bae, Minju, Seo, Myo-Geong, Nam, Gieun, Park, Seho, Park, Soowon, Ihm, Jungjoon, Lee, Jun-Young
Format: Article
Language:English
Subjects:
Adults
Aging
Alzheimer's disease
Anxiety
Computer vision
Emotions
Face recognition
facial action unit
facial aging
facial expression
Mental depression
Muscles
Older people
Parkinson's disease
posed emotion
Software
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Summary:Facial expressions are well known to change with age, but the quantitative properties of facial aging remain unclear. In the present study, we investigated the differences in the intensity of facial expressions between older (n = 56) and younger adults (n = 113). In laboratory experiments, the posed facial expressions of the participants were obtained based on six basic emotions and neutral facial expression stimuli, and the intensities of their faces were analyzed using a computer vision tool, OpenFace software. Our results showed that the older adults expressed strong expressions for some negative emotions and neutral faces. Furthermore, when making facial expressions, older adults used more face muscles than younger adults across the emotions. These results may help to understand the characteristics of facial expressions in aging and can provide empirical evidence for other fields regarding facial recognition.
ISSN:1424-8220
1424-8220
DOI:10.3390/s21144858