Results 71 to 80 of about 5,144,215 (290)

A Human-Robot Interaction System Calculating Visual Focus of Human’s Attention Level

IEEE Access, 2021
Attention is the mental awareness of human on a particular object or a piece of information. The level of attention indicates how intense the focus is on an object or an instance.
Partha Chakraborty, Sabbir Ahmed, Mohammad Abu Yousuf, Akm Azad, Salem A. Alyami, Mohammad Ali Moni   +5 more
doaj   +1 more source

Modeling people's focus of attention

Proceedings IEEE International Workshop on Modelling People. MPeople'99, 2003
In this paper, we present an approach to model focus of attention of participants in a meeting via hidden Markov models (HMM). We employ HMM to encode and track focus of attention, based on the participants' gaze information and knowledge of their positions.
Stiefelhagen, Rainer, Yang, Jie, Waibel, Alex   +2 more
openaire   +2 more sources

Turning the mind’s eye inward: the interplay between selective attention and working memory [PDF]

, 2015
Historically, cognitive sciences have considered selective attention and working memory as largely separated cognitive functions. That is, selective attention as a concept is typically reserved for the processes that allow for the prioritization of ...
Abrahamse, Elger, Fias, Wim, Majerus, Steve, van Dijck, Jean-Philippe   +3 more
core   +2 more sources

Cerebrospinal Fluid Liquid Biopsy Enables Targeted Therapy Without Tissue Diagnosis in Pediatric Low‐Grade Gliomas With BRAF V600E Mutation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan, Damien Faury, Alexander G. Weil, Harrison J. Westwick, Nada Jabado, Sébastien Perreault   +5 more
wiley   +1 more source

Unsupervised online learning of visual focus of attention [PDF]

2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013
In this paper, we propose a novel approach for estimating visual focus of attention in video streams. The method is based on an unsupervised algorithm that incrementally learns the different appearance clusters from low-level visual features extracted from face patches provided by a face tracker.
Duffner, Stefan, Garcia, Christophe
openaire   +2 more sources

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Focus of Attention in Children with ASD

Аутизм и нарушение развития, 2020
The special way of understanding the world and the brain mechanisms of cognitive impairment in children with autism spectrum disorders (ASD) are becoming the core topics in the autism research.
E.G. Karimulina, N.G. Khlyustova
doaj   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

Individual differences in dispositional focus of attention predict attentional blink magnitude [PDF]

Attention, Perception, & Psychophysics, 2010
When identifying two targets presented in a rapid serial visual presentation stream, one's accuracy on the second target is reduced if it is presented shortly (within 500 msec) after the first target-an attentional blink (AB). Individuals differ greatly in the size of their AB.
Gillian, Dale, Karen M, Arnell
openaire   +2 more sources

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source