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. 2021 Jul 16;21(14):4858.
doi: 10.3390/s21144858.

Changes in Computer-Analyzed Facial Expressions with Age

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Changes in Computer-Analyzed Facial Expressions with Age

Hyunwoong Ko et al. Sensors (Basel). .

Abstract

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.

Keywords: facial action unit; facial aging; facial expression; posed emotion.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The facial stimuli representing the six basic emotions and the neutral emotion, adapted from [60].
Figure 2
Figure 2
Prevalence of AU values by groups for neutral face. AU, action unit.
Figure 3
Figure 3
Prevalence of emotional AU values by groups for emotional face. AU, action unit.
Figure 4
Figure 4
Correlation plot for age and AUs. AU, action unit; ang, angry; dis, disgust; fea, fear; hap, happy; neu, neutral; sur, surprise. p-values were adjusted for multiple comparisons.
Figure 5
Figure 5
The adaptive LASSO results. AU, action unit; ang, angry; neu, neutral; sur, surprise.

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