scholarly journals The effect of auditory semantic cues on face expression processing: An EEG investigation

2019 ◽  
Vol 19 (10) ◽  
pp. 183
Author(s):  
Anna Hudson ◽  
Heather Henderson ◽  
Roxane Itier
Keyword(s):  
Semantic Cues ◽  
Face Expression ◽  
Expression Processing

scholarly journals Predictive processes during simultaneous interpreting from German into English

Interpreting ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Ena Hodzik ◽  
John N. Williams
Keyword(s):  
Language Processing ◽  
English Language ◽  
Native Speakers ◽  
Transitional Probability ◽  
Semantic Cues ◽  
Simultaneous Interpreting ◽  
Spoken Language Processing ◽  
Advanced Students ◽  
Native Speakers Of English ◽  
Predictive Processes

We report a study on prediction in shadowing and simultaneous interpreting (SI), both considered as forms of real-time, ‘online’ spoken language processing. The study comprised two experiments, focusing on: (i) shadowing of German head-final sentences by 20 advanced students of German, all native speakers of English; (ii) SI of the same sentences into English head-initial sentences by 22 advanced students of German, again native English speakers, and also by 11 trainee and practising interpreters. Latency times for input and production of the target verbs were measured. Drawing on studies of prediction in English-language reading production, we examined two cues to prediction in both experiments: contextual constraints (semantic cues in the context) and transitional probability (the statistical likelihood of words occurring together in the language concerned). While context affected prediction during both shadowing and SI, transitional probability appeared to favour prediction during shadowing but not during SI. This suggests that the two cues operate on different levels of language processing in SI.

Concise CNN model for face expression recognition

2021 ◽  
pp. 1-9
Author(s):  
Harshadkumar B. Prajapati ◽  
Ankit S. Vyas ◽  
Vipul K. Dabhi
Keyword(s):  
Network Architecture ◽  
Expression Recognition ◽  
Human Machine Interaction ◽  
Face Expression ◽  
Computational Overhead ◽  
Average Accuracy ◽  
Proposed Model ◽  
Face Expression Recognition ◽  
Expression Classification ◽  
Machine Interaction

Face expression recognition (FER) has gained very much attraction to researchers in the field of computer vision because of its major usefulness in security, robotics, and HMI (Human-Machine Interaction) systems. We propose a CNN (Convolutional Neural Network) architecture to address FER. To show the effectiveness of the proposed model, we evaluate the performance of the model on JAFFE dataset. We derive a concise CNN architecture to address the issue of expression classification. Objective of various experiments is to achieve convincing performance by reducing computational overhead. The proposed CNN model is very compact as compared to other state-of-the-art models. We could achieve highest accuracy of 97.10% and average accuracy of 90.43% for top 10 best runs without any pre-processing methods applied, which justifies the effectiveness of our model. Furthermore, we have also included visualization of CNN layers to observe the learning of CNN.

Face and emotional expression processing under continuous perceptual load tasks: an ERP study

2021 ◽  
pp. 108056
Author(s):  
Sebastian Schindler ◽  
Clara Tirloni ◽  
Maximilian Bruchmann ◽  
Thomas Straube
Keyword(s):  
Emotional Expression ◽  
Perceptual Load ◽  
Expression Processing

scholarly journals Does Gaze Direction Modulate Facial Expression Processing in Children With Autism Spectrum Disorder?

2009 ◽  
Vol 80 (4) ◽  
pp. 1134-1146 ◽  
Author(s):  
Hironori Akechi ◽  
Atsushi Senju ◽  
Yukiko Kikuchi ◽  
Yoshikuni Tojo ◽  
Hiroo Osanai ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Facial Expression ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Gaze Direction ◽  
Expression Processing

scholarly journals Neural Basis of Maternal Communication and Emotional Expression Processing during Infant Preverbal Stage

2008 ◽  
Vol 19 (5) ◽  
pp. 1124-1133 ◽  
Author(s):  
D. Lenzi ◽  
C. Trentini ◽  
P. Pantano ◽  
E. Macaluso ◽  
M. Iacoboni ◽  
...  
Keyword(s):  
Emotional Expression ◽  
Neural Basis ◽  
Maternal Communication ◽  
Expression Processing
Sign in / Sign up

Export Citation Format

Share Document