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 (<i>n</i> = 56) and younger adults (<i>n</i> = 113)...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/14/4858 |
| _version_ | 1827686842251608064 |
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| author | Hyunwoong Ko Kisun Kim Minju Bae Myo-Geong Seo Gieun Nam Seho Park Soowon Park Jungjoon Ihm Jun-Young Lee |
| author_facet | Hyunwoong Ko Kisun Kim Minju Bae Myo-Geong Seo Gieun Nam Seho Park Soowon Park Jungjoon Ihm Jun-Young Lee |
| author_sort | Hyunwoong Ko |
| collection | DOAJ |
| description | 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 (<i>n</i> = 56) and younger adults (<i>n</i> = 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. |
| first_indexed | 2024-03-10T09:23:25Z |
| format | Article |
| id | doaj.art-1cf1a00ad773473fa838e8bc320d3d9f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T09:23:25Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1cf1a00ad773473fa838e8bc320d3d9f2023-11-22T04:57:07ZengMDPI AGSensors1424-82202021-07-012114485810.3390/s21144858Changes in Computer-Analyzed Facial Expressions with AgeHyunwoong Ko0Kisun Kim1Minju Bae2Myo-Geong Seo3Gieun Nam4Seho Park5Soowon Park6Jungjoon Ihm7Jun-Young Lee8Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, KoreaDepartment of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 03080, KoreaInterdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, KoreaDepartment of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 03080, KoreaDepartment of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 03080, KoreaBehavioral Neuroscience Program, School of Medicine, Boston University, Boston, MA 02101, USADivision of Teacher Education, College of Liberal Arts and Interdisciplinary Studies, Kyonggi University, Suwon 16200, KoreaInterdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, KoreaInterdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, KoreaFacial 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 (<i>n</i> = 56) and younger adults (<i>n</i> = 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.https://www.mdpi.com/1424-8220/21/14/4858facial action unitfacial agingfacial expressionposed emotion |
| spellingShingle | Hyunwoong Ko Kisun Kim Minju Bae Myo-Geong Seo Gieun Nam Seho Park Soowon Park Jungjoon Ihm Jun-Young Lee Changes in Computer-Analyzed Facial Expressions with Age Sensors facial action unit facial aging facial expression posed emotion |
| title | Changes in Computer-Analyzed Facial Expressions with Age |
| title_full | Changes in Computer-Analyzed Facial Expressions with Age |
| title_fullStr | Changes in Computer-Analyzed Facial Expressions with Age |
| title_full_unstemmed | Changes in Computer-Analyzed Facial Expressions with Age |
| title_short | Changes in Computer-Analyzed Facial Expressions with Age |
| title_sort | changes in computer analyzed facial expressions with age |
| topic | facial action unit facial aging facial expression posed emotion |
| url | https://www.mdpi.com/1424-8220/21/14/4858 |
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