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pro vyhledávání: '"T. Tim A. Höfling"'
Autor:
T. Tim A. Höfling, Georg W. Alpers
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionConsumers’ emotional responses are the prime target for marketing commercials. Facial expressions provide information about a person’s emotional state and technological advances have enabled machines to automatically decode them.Metho
Externí odkaz:
https://doaj.org/article/b2bbe5525d3e4de8b92af3ffd15e94b9
Publikováno v:
PLoS ONE, Vol 17, Iss 3 (2022)
Automatic facial coding (AFC) is a novel research tool to automatically analyze emotional facial expressions. AFC can classify emotional expressions with high accuracy in standardized picture inventories of intensively posed and prototypical expressi
Externí odkaz:
https://doaj.org/article/6b6fb7664b1d47c6aad582489bf66336
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Emotional facial expressions can inform researchers about an individual's emotional state. Recent technological advances open up new avenues to automatic Facial Expression Recognition (FER). Based on machine learning, such technology can tremendously
Externí odkaz:
https://doaj.org/article/eea225f32bb74ef69fc6cb9cc51d000c
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
Facial expressions provide insight into a person’s emotional experience. To automatically decode these expressions has been made possible by tremendous progress in the field of computer vision. Researchers are now able to decode emotional facial ex
Externí odkaz:
https://doaj.org/article/debaf12962ad43329946cab3c080b1dc
Publikováno v:
Cognitionemotion. 35(5)
Decoding someone's facial expressions provides insights into his or her emotional experience. Recently, Automatic Facial Coding (AFC) software has been developed to provide measurements of emotional facial expressions. Previous studies provided first
Publikováno v:
PloS one. 17(3)
Automatic facial coding (AFC) is a novel research tool to automatically analyze emotional facial expressions. AFC can classify emotional expressions with high accuracy in standardized picture inventories of intensively posed and prototypical expressi