The interference effect of emotional expressions on facial identity recognition in preschool-aged children

2015 ◽  
Vol 12 (4) ◽  
pp. 443-458 ◽  
Author(s):  
Viola Brenna ◽  
Chiara Turati ◽  
Rosario Montirosso ◽  
Viola Macchi Cassia
Keyword(s):  
Interference Effect ◽  
Emotional Expressions ◽  
Identity Recognition ◽  
Facial Identity ◽  
Preschool Aged Children

Facial identity recognition in children with autism spectrum disorders revealed by P300 analysis: A preliminary study

2013 ◽  
Vol 35 (4) ◽  
pp. 293-298 ◽  
Author(s):  
Atsuko Gunji ◽  
Takaaki Goto ◽  
Yosuke Kita ◽  
Ryusuke Sakuma ◽  
Naomi Kokubo ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Identity Recognition ◽  
Facial Identity ◽  
Preliminary Study ◽  
Spectrum Disorders

scholarly journals Memory and Perception-based Facial Image Reconstruction

2017 ◽  
Author(s):  
Chi-Hsun Chang ◽  
Dan Nemrodov ◽  
Andy C. H. Lee ◽  
Adrian Nestor
Keyword(s):  
Image Reconstruction ◽  
Visual Memory ◽  
Long Term Memory ◽  
Facial Features ◽  
Identity Recognition ◽  
Facial Identity ◽  
Face Images ◽  
Computer Based ◽  
Novel Applications

AbstractVisual memory for faces has been extensively researched, especially regarding the main factors that influence face memorability. However, what we remember exactly about a face, namely, the pictorial content of visual memory, remains largely unclear. The current work aims to elucidate this issue by reconstructing face images from both perceptual and memory-based behavioural data. Specifically, our work builds upon and further validates the hypothesis that visual memory and perception share a common representational basis underlying facial identity recognition. To this end, we derived facial features directly from perceptual data and then used such features for image reconstruction separately from perception and memory data. Successful levels of reconstruction were achieved in both cases for newly-learned faces as well as for familiar faces retrieved from long-term memory. Theoretically, this work provides insights into the content of memory-based representations while, practically, it opens the path to novel applications, such as computer-based ‘sketch artists’.

scholarly journals Preschool-aged children jointly consider others’ emotional expressions and prior knowledge to decide when to explore

2019 ◽  
Author(s):  
Yang Wu ◽  
Hyowon Gweon
Keyword(s):  
Prior Knowledge ◽  
Prediction Error ◽  
Emotional Expressions ◽  
Children’S Learning ◽  
Causal Function ◽  
Salient Function ◽  
Adult Play ◽  
Preschool Aged Children ◽  
Children's Learning

Emotional expressions are abundant in children’s lives. What role do these expressions play in children’s learning? Here we ask whether preschool-aged children use others’ emotional expressions to infer the presence of unknown causal functions and guide their exploration accordingly. Children (3.0-4.9 years; N=112) learned about one salient causal function of a novel toy, and then saw an adult play with the toy. Children explored the toy more when the adult expressed surprise than when she expressed happiness (Experiment 1), but only when the adult already knew about the toy's salient function (Experiment 2). These results suggest that children selectively interpret others’ surprise as “vicarious prediction error” based on others’ knowledge, and use it to guide their own exploration and discovery.

Facial Identity Memory Is Enhanced When Sender’s Expression Is Congruent to Perceiver’s Experienced Emotion

2017 ◽  
Vol 121 (5) ◽  
pp. 892-908
Author(s):  
Marilyn Mendolia
Keyword(s):  
Social Context ◽  
Emotional Expression ◽  
Negative Emotion ◽  
Mixed Design ◽  
Identity Recognition ◽  
Facial Identity ◽  
The Social ◽  
Within Subjects ◽  
Experienced Emotion

The role of the social context in facial identity recognition and expression recall was investigated by manipulating the sender’s emotional expression and the perceiver’s experienced emotion during encoding. A mixed-design with one manipulated between-subjects factor (perceiver’s experienced emotion) and two within-subjects factors (change in experienced emotion and sender’s emotional expression) was used. Senders’ positive and negative expressions were implicitly encoded while perceivers experienced their baseline emotion and then either a positive or a negative emotion. Facial identity recognition was then tested using senders’ neutral expressions. Memory for senders previously seen expressing positive or negative emotion was facilitated if the perceiver initially encoded the expression while experiencing a positive or a negative emotion, respectively. Furthermore, perceivers were confident of their decisions. This research provides a more detailed understanding of the social context by exploring how the sender–perceiver interaction affects the memory for the sender.

Racial distinction of the unknown facial identity recognition mechanism by event-related fMRI

2006 ◽  
Vol 397 (3) ◽  
pp. 279-284 ◽  
Author(s):  
Jeong Seok Kim ◽  
Hyo Woon Yoon ◽  
Bum Soo Kim ◽  
Sin Soo Jeun ◽  
So Lyung Jung ◽  
...  
Keyword(s):  
Recognition Mechanism ◽  
Identity Recognition ◽  
Facial Identity

scholarly journals Facial Identity Recognition in the Broader Autism Phenotype

PLoS ONE ◽  
2010 ◽  
Vol 5 (9) ◽  
pp. e12876 ◽  
Author(s):  
C. Ellie Wilson ◽  
Phillipa Freeman ◽  
Jon Brock ◽  
A. Mike Burton ◽  
Romina Palermo
Keyword(s):  
Broader Autism Phenotype ◽  
Identity Recognition ◽  
Facial Identity ◽  
Autism Phenotype

scholarly journals Improvement of Identity Recognition with Occlusion Detection-Based Feature Selection

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 167
Author(s):  
Jaeyoon Jang ◽  
Ho-Sub Yoon ◽  
Jaehong Kim
Keyword(s):  
Feature Vector ◽  
Recognition Performance ◽  
Recognition System ◽  
Identity Recognition ◽  
Facial Identity ◽  
Prevalent Disease ◽  
Significant Area ◽  
The Face ◽  
Additional Costs ◽  
The Stability

Image-based facial identity recognition has become a technology that is now used in many applications. This is because it is possible to use only a camera without the need for any other device. Besides, due to the advantage of contactless technology, it is one of the most popular certifications. However, a common recognition system is not possible if some of the face information is lost due to the user’s posture or the wearing of masks, as caused by the recent prevalent disease. In some platforms, although performance is improved through incremental updates, it is still inconvenient and inaccurate. In this paper, we propose a method to respond more actively to these situations. First, we determine whether an obscurity occurs and improve the stability by calculating the feature vector using only a significant area when the obscurity occurs. By recycling the existing recognition model, without incurring little additional costs, the results of reducing the recognition performance drop in certain situations were confirmed. Using this technique, we confirmed a performance improvement of about 1~3% in a situation where some information is lost. Although the performance is not dramatically improved, it has the big advantage that it can improve recognition performance by utilizing existing systems.

Sign in / Sign up

Export Citation Format

Share Document