Search

Your search keyword '"Shushi Namba"' showing total 2 results
Start Over Author "Shushi Namba" Journal sensors
2 results on '"Shushi Namba"'

1. Assessing Automated Facial Action Unit Detection Systems for Analyzing Cross-Domain Facial Expression Databases

Author

Shushi Namba, Wataru Sato, Masaki Osumi, and Koh Shimokawa

Subjects
action unit, automatic facial detection, facial expressions, machine analysis, sensing dynamic face, Chemical technology, TP1-1185
Abstract

In the field of affective computing, achieving accurate automatic detection of facial movements is an important issue, and great progress has already been made. However, a systematic evaluation of systems that now have access to the dynamic facial database remains an unmet need. This study compared the performance of three systems (FaceReader, OpenFace, AFARtoolbox) that detect each facial movement corresponding to an action unit (AU) derived from the Facial Action Coding System. All machines could detect the presence of AUs from the dynamic facial database at a level above chance. Moreover, OpenFace and AFAR provided higher area under the receiver operating characteristic curve values compared to FaceReader. In addition, several confusion biases of facial components (e.g., AU12 and AU14) were observed to be related to each automated AU detection system and the static mode was superior to dynamic mode for analyzing the posed facial database. These findings demonstrate the features of prediction patterns for each system and provide guidance for research on facial expressions.

Published
2021
Full Text
View/download PDF

2. Assessing Automated Facial Action Unit Detection Systems for Analyzing Cross-Domain Facial Expression Databases

Author

Wataru Sato, Shushi Namba, Koh Shimokawa, and Masaki Osumi

Subjects
automatic facial detection, Databases, Factual, Computer science, facial expressions, TP1-1185, computer.software_genre, Biochemistry, Article, 050105 experimental psychology, Field (computer science), Analytical Chemistry, Domain (software engineering), Unmet needs, Facial Action Coding System, 03 medical and health sciences, 0302 clinical medicine, sensing dynamic face, 0501 psychology and cognitive sciences, Electrical and Electronic Engineering, Affective computing, Instrumentation, action unit, Facial expression, Database, Receiver operating characteristic, Chemical technology, 05 social sciences, Atomic and Molecular Physics, and Optics, Facial Expression, Action (philosophy), machine analysis, Face, computer, 030217 neurology & neurosurgery
Abstract

In the field of affective computing, achieving accurate automatic detection of facial movements is an important issue, and great progress has already been made. However, a systematic evaluation of systems that now have access to the dynamic facial database remains an unmet need. This study compared the performance of three systems (FaceReader, OpenFace, AFARtoolbox) that detect each facial movement corresponding to an action unit (AU) derived from the Facial Action Coding System. All machines could detect the presence of AUs from the dynamic facial database at a level above chance. Moreover, OpenFace and AFAR provided higher area under the receiver operating characteristic curve values compared to FaceReader. In addition, several confusion biases of facial components (e.g., AU12 and AU14) were observed to be related to each automated AU detection system and the static mode was superior to dynamic mode for analyzing the posed facial database. These findings demonstrate the features of prediction patterns for each system and provide guidance for research on facial expressions.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results