Selective binding of facial features reveals dynamic expression fragments

QR Code

Selective binding of facial features reveals dynamic expression fragments

The temporal correspondence between two arbitrarily chosen pairs of alternating features can generally be reported for rates up to 3–4 Hz. This limit is however surpassed for specialised visual mechanisms that encode conjunctions of features. Here we show that this 3–4 Hz limit is exceeded for eye g...

Full description

Bibliographic Details
Main Authors:	Harrison, Charlotte, Binetti, Nicola, Mareschal, Isabelle, Johnston, Alan
Format:	Article
Published:	Nature Publishing Group 2018
Online Access:	https://eprints.nottingham.ac.uk/53064/

Similar Items

Temporal order judgements of dynamic gaze stimuli reveal a postdictive prioritisation of averted over direct shifts
by: Binetti, Nicola, et al.
Published: (2017)

Face exploration dynamics differentiate men and women
by: Coutrot, Antoine, et al.
Published: (2016)

Time-order errors in duration judgment are independent of spatial positioning
by: Harrison, Charlotte, et al.
Published: (2017)

Pupil response hazard rates predict perceived gaze durations
by: Binetti, Nicola, et al.
Published: (2017)

Pupil dilation as an index of preferred mutual gaze duration
by: Binetti, Nicola, et al.
Published: (2016)

Discriminant feature extraction and selection for person-independent facial expression recognition
by: Xue, Mingliang
Published: (2015)

A novel facial expression recognition based on the curevlet features
by: Zhou, Juxiang, et al.
Published: (2010)

Feature extraction and classification stage on facial expression : A review
by: Shidiq, Muchamad Bachram, et al.
Published: (2022)

Automatic 4D facial expression recognition using DCT features
by: Xue, M., et al.
Published: (2015)

Facial feature extraction
by: Muhammad Marzuq, Mohd Sharip
Published: (2009)

The role of synchrony in perceptual binding of facial movement
by: Brown, Benjamin B.
Published: (2018)

Introduction of Static and Dynamic Features to Facial Nerve Paralysis Evaluation
by: Wan Syahirah, Wan Samsudin, et al.
Published: (2021)

Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability
by: Vice, Jordan, et al.
Published: (2022)

Facial expression classification
by: Chong, Y.F
Published: (2010)

Extract of facial feature point.
by: Bagherian, Elham, et al.
Published: (2009)

Plasma proteome profiling reveals differentially expressed lipopolysaccharide-binding protein among leptospirosis patients
by: Low, Cheng Yee, et al.
Published: (2020)

Fully automatic 3D facial expression recognition using local depth features
by: Xue, Mingliang, et al.
Published: (2014)

Toward Use of Facial Thermal Features in Dynamic Assessment of Affect and Arousal Level
by: Khan, Masood Mehmood, et al.
Published: (2016)

Facial expression as an attribute in communication
by: Latiffah Pawanteh,
Published: (1987)

Live facial expression recognition
by: Tan, Wei Mun
Published: (2022)

Facial feature discovery for ethnicity recognition
by: Wang, C., et al.
Published: (2018)

Development of a robust multi-scale featured local binary pattern for improved facial expression recognition
by: Suraiya, Y., et al.
Published: (2020)

Robust facial feature extraction for video coding
by: Phang, Chui Lian
Published: (2006)

Unsupervised learning of facial expression components
by: Egede, Joy Onyekachukwu
Published: (2013)

Driver’s fatigue detection system based on facial features
by: Khan, Ijaz
Published: (2014)

Facial expressions emotional recognition with nao robot
by: Mohamed, Ahmed Mahmoud
Published: (2018)

Facial expressions emotional recognition with NAO robot
by: Mohamed, Ahmed Mahmoud
Published: (2018)

Deep learning methods for facial expression recognition
by: Mohammad Masum Refat, Chowdhury, et al.
Published: (2019)

Facial Expression Classification In E-Learning Systems
by: Loh, May Ping
Published: (2007)

K-Means approach to facial expressions recognition
by: Zeki, Ahmed M., et al.
Published: (2012)

Psychophysical measures of sensitivity to facial expression of emotion.
by: Marneweck, M., et al.
Published: (2013)

Dynamic deep learning for automatic facial expression recognition and its application in diagnosis of ADHD & ASD
by: Jaiswal, Shashank
Published: (2018)

3D measures and geometric facial features analysis on 3D facial action unit recognition
by: Hamimah, Ujir, et al.
Published: (2015)

Use of bacterial cellulose produced by Acetobacter xylinum as binding agent in facial scrub formulation
by: Hasan, Norhasliza
Published: (2013)

Effects of habitat features and fragmentation on herpetofaunal communities in Western Sarawak
by: Das, I., et al.
Published: (2013)

Comparison of filtering methods for extracting transient facial wrinkle features
by: Rosdiyana, Samad, et al.
Published: (2018)

Face Detection Technique Based on Skin Color and Facial Features
by: Mohamed Alajel, Khalid
Published: (2005)

Identity prediction with uncovered facial features while wearing mask
by: Koh, Ronald Lee Xiang
Published: (2023)

Cross-database representation and transfer learning of facial expressions
by: Almaev, Timur
Published: (2018)

Retrodictive inferences from spontaneous and simulated facial expressions
by: Kang, Kathleen Yen Li
Published: (2018)