Bioinspir Biomim
Graduate School of Engineering, Osaka University, Suita, Osaka, Japan.
Published: November 2017
It is quite difficult for android robots to replicate the numerous and various types of human facial expressions owing to limitations in terms of space, mechanisms, and materials. This situation could be improved with greater knowledge regarding these expressions and their deformation rules, i.e. by using the biomimetic approach. In a previous study, we investigated 16 facial deformation patterns and found that each facial point moves almost only in its own principal direction and different deformation patterns are created with different combinations of moving lengths. However, the replication errors caused by moving each control point of a face in only their principal direction were not evaluated for each deformation pattern at that time. Therefore, we calculated the replication errors in this study using the second principal component scores of the 16 sets of flow vectors at each point on the face. More than 60% of the errors were within 1 mm, and approximately 90% of them were within 3 mm. The average error was 1.1 mm. These results indicate that robots can replicate the 16 investigated facial expressions with errors within 3 mm and 1 mm for about 90% and 60% of the vectors, respectively, even if each point on the robot face moves in only its own principal direction. This finding seems promising for the development of robots capable of showing various facial expressions because significantly fewer types of movements than previously predicted are necessary.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1088/1748-3190/aa8f33 | DOI Listing |
PLoS One
January 2025
Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia.
We explore the efficacy of multimodal behavioral cues for explainable prediction of personality and interview-specific traits. We utilize elementary head-motion units named kinemes, atomic facial movements termed action units and speech features to estimate these human-centered traits. Empirical results confirm that kinemes and action units enable discovery of multiple trait-specific behaviors while also enabling explainability in support of the predictions.
View Article and Find Full Text PDFSoc Cogn Affect Neurosci
January 2025
Department of Psychology, Clinical Psychology and Psychotherapy, Regensburg University.
Facial emotional expressions are crucial in face-to-face social interactions, and recent findings have highlighted their interactive nature. However, the underlying neural mechanisms remain unclear. This EEG study investigated whether the interactive exchange of facial expressions modulates socio-emotional processing.
View Article and Find Full Text PDFPLoS One
January 2025
Xinjiang Institute of Technology, Aksu, China.
Facial expression recognition faces great challenges due to factors such as face similarity, image quality, and age variation. Although various existing end-to-end Convolutional Neural Network (CNN) architectures have achieved good classification results in facial expression recognition tasks, these network architectures share a common drawback that the convolutional kernel can only compute the correlation between elements of a localized region when extracting expression features from an image. This leads to difficulties for the network to explore the relationship between all the elements that make up a complete expression.
View Article and Find Full Text PDFCleft Palate Craniofac J
January 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Objective: Apart from rupture and displacement of muscle fibers, structural defects exist in cleft muscles but have not been adequately investigated. This study aimed to examine the histological and molecular features of the cleft muscles.
Design: Orbicularis oris (OO) and tensor fasciae latae (TFL) muscle samples were obtained from patients with cleft lip and alveolar.
J Neurol
January 2025
Department of Neurology and Neurosciences, Donostia University Hospital, Biogipuzkoa Health Research Institute, Donostia-San Sebastián, Spain.
Background: Alpha-actinin-2, a protein with high expression in cardiac and skeletal muscle, is located in the Z-disc and plays a key role in sarcomere stability. Mutations in ACTN2 have been associated with both hypertrophic and dilated cardiomyopathy and, more recently, with skeletal myopathy.
Methods: Genetic, clinical, and muscle imaging data were collected from 37 patients with an autosomal dominant ACTN2 myopathy belonging to 11 families from Spain and Belgium.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!
© LitMetric 2025. All rights reserved.