Not exact matches
Using a face
recognition task, here we demonstrate an amplified reactivity to anger and fear
emotions across the day, without sleep.
The platform will
use features such as facial
recognition, even analyzing stars» «facial
emotion,» to pick out the best images and videos to post for fans online.
It has been relegated to many narrow
use cases involving pattern
recognition and prediction (some of which are very valuable and useful, such as improving cancer detection, identifying financial risk and fraud, and other high performance computing applications), but it has not developed a general «understanding» of human interactions, human
emotions, speech patterns and human responses to information.
«
Using automated feature extraction is standard for face
recognition and
emotion recognition,» says Raia Hadsell, a machine vision engineer at Google DeepMind.
Their research topics range from utilizing cybersecurity and social network forensics to understanding cyber warfare to the
use of facial
emotion recognition for security purposes.
A unique game, L.A. Noire allows you to solve crimes by
using the most advanced facial
recognition softward seen in a game to actually read the
emotions of suspects faces just as you would do in real life.
Dutch researchers are
using experimental
emotion -
recognition software to test individuals» reactions to advertisements and marketing.
Interact more intuitively with facial
recognition,
emotion tracking, 3D scanning, and background extraction, or
use 10 - finger gesture
recognition for agile device control.
These results extend prior research by demonstrating affective empathy and
emotion recognition deficits in adolescents with CD
using a more ecologically - valid task, and challenge the view that affective empathy deficits are specific to CD / CU +.
For
emotion recognition, participants» performance accuracy was compared for each
emotion separately
using non-parametric statistical tests because the data were not normally distributed and could not be transformed to a normal distribution.
The present findings for
emotion recognition of dynamic stimuli are broadly consistent with those obtained in studies
using static images of facial expressions to investigate facial
emotion recognition in adolescents with CD (Fairchild et al. 2009; Fairchild et al. 2010; Sully et al. 2015), and the current effect sizes were similar in size (i.e., medium) to those observed in previous studies.
The aim of the present study was to assess empathic accuracy (EA),
emotion recognition, and affective empathy in male adolescents with Conduct Disorder (CD) and higher versus lower levels of callous - unemotional (CU) traits,
using a more ecologically - valid task than has been
used previously.
The kinds of static, grayscale stimuli depicting facial expressions
used in most studies of facial
emotion recognition do not resemble the facial stimuli we see in everyday life, whilst studies employing vignettes or films have often required participants to label an overall
emotion and occasionally rate its strength and explain the reason for it.
Emotion recognition has also been measured
using tasks involving the presentation of video clips (e.g., excerpts from films or documentaries).
We also examined for effects of CU traits
using a dimensional approach by testing for correlations between CU traits and EA,
emotion recognition, and affective empathy (
using either parametric or non-parametric bivariate correlations, as appropriate).
Other commonly
used measures of empathy include tasks assessing
recognition of facial expressions of
emotion (considered critical for cognitive empathy).
This study extends previous research on empathy by demonstrating that, even when
using rich and multi-sensory stimulus materials that are more ecologically - valid than those
used in previous studies, male adolescents with CD still display significant impairments in
emotion recognition and affective empathy — these deficits were particularly evident for sadness, fear, and disgust.
The key treatment objectives of CARES are: (a) to enhance attention to critical facial cues signalling distress in child, parents and others, to improve
emotion recognition and labelling; (b) improve emotional understanding by linking
emotion to context, and by identifying contexts and situations that elicit child anger and frustration; (c) teach prosocial and empathic behaviour through social stories, parent modelling, and role play; (d) increase emotional labelling and prosocial behaviour through positive reinforcement; (e) and increase child's frustration tolerance through modelling, role - playing, and reinforcing child's
use of learned cognitive - behavioural strategies to decrease the incidence of aggressive behaviours.