13 research outputs found

    GOLIAH (Gaming Open Library for Intervention in Autism at Home): a 6-month single blind matched controlled exploratory study

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    BackgroundTo meet the required hours of intensive intervention for treating children with autism spectrum disorder (ASD), we developed an automated serious gaming platform (11 games) to deliver intervention at home (GOLIAH) by mapping the imitation and joint attention (JA) subset of age-adapted stimuli from the Early Start Denver Model (ESDM) intervention. Here, we report the results of a 6-month matched controlled exploratory study.MethodsFrom two specialized clinics, we included 14 children (age range 5–8 years) with ASD and 10 controls matched for gender, age, sites, and treatment as usual (TAU). Participants from the experimental group received in addition to TAU four 30-min sessions with GOLIAH per week at home and one at hospital for 6 months. Statistics were performed using Linear Mixed Models.ResultsChildren and parents participated in 40% of the planned sessions. They were able to use the 11 games, and participants trained with GOLIAH improved time to perform the task in most JA games and imitation scores in most imitation games. GOLIAH intervention did not affect Parental Stress Index scores. At end-point, we found in both groups a significant improvement for Autism Diagnostic Observation Schedule scores, Vineland socialization score, Parental Stress Index total score, and Child Behavior Checklist internalizing, externalizing and total problems. However, we found no significant change for by time × group interaction.ConclusionsDespite the lack of superiority of TAU + GOLIAH versus TAU, the results are interesting both in terms of changes by using the gaming platform and lack of parental stress increase. A large randomized controlled trial with younger participants (who are the core target of ESDM model) is now discussed. This should be facilitated by computing GOLIAH for a web platform.Trial registration Clinicaltrials.gov NCT0256041

    Registro de movimientos oculares con el eye tracker Mobile eye XG

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    93 p.Debido a su importancia en la investigación sobre lo que sucede en el cerebro, el estudio sobre el sistema visual humano se ha especializado cada vez más para indagar sobre la influencia de los movimientos oculares en la percepción durante la observación. Con el fin de acceder a este tipo de procesos se ha diseñado un conjunto de herramientas que permiten hacer un seguimiento a los movimientos oculares, conocidos como eye trackers. Este libro tiene como objetivo aportar elementos para la planeación, el diseño y la ejecución de investigaciones que incluya el uso de eye trackers, en particular del eye tracker Mobile eye XG. Esta es una de las primeras revisiones en español que recopila información sobre los movimientos oculares. Contiene una descripción sobre el eye tracker Mobile eye XG y otros dispositivos; una revisión sobre la visión humana y los movimientos oculares; una reseña acerca de los determinantes cognoscitivos de los movimientos oculares; una aproximación a las condiciones para el diseño, la ejecución y el análisis de datos de las investigaciones con esta herramienta y una revisión sobre sus campos de aplicación.Technological advances in recent decades have made eye trackers, especially glasses, an important tool in the field of cognitive, emotional, and social neurosciences, due to the relationship that exists between visual behavior and neuronal processes. This has facilitated the study of a significant number of psychological processes, including perception, emotions, social cognition, decision making, attention, and literacy, among others. Eye trackers have been applied to research a wide range of human activities, including web page and application design and market studies, the visual behavior of drivers and athletes, human-computer interactions, simulations for military training, and as a support for the clinical diagnosis of personality disorders and neurological conditions. This book aims to provide elements for the planning, design, and execution of research that includes the use of eye trackers, in particular the Mobile Eye-XG eye tracker. This is one of the first reviews in Spanish that collects information on eye movements. The study contains a description of the Mobile Eye-XG eye tracker and other devices; a review of human vision and eye movements; a review of the cognitive determinants of eye movements; an exploration of the conditions that determine the design, execution, and data analysis of research that uses this tool, as well as a review of its fields of application.Introducción Parte 1. Descripción del eye tracker Mobile eye XG Parte 2. Visión humana y movimientos oculares Parte 3. Neurobiología de los movimientos oculares Parte 4. Determinantes cognoscitivos de las fijaciones y de los movimientos oculares Parte 5. Condiciones para el diseño y el registro de estudios con el eye tracker Mobile eye XG Parte 6. Análisis y representación gráfica de los datos Parte 7. Condiciones para el reporte de investigación Parte 8. Aplicaciones del eye tracking Referencias Anexo

    Thermal Signature Using Non-redundant Temporal Local Binary-Based Features

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    International audienceIn this paper, we propose a method for event recognition from thermal signature based 1-D signal. We use the non-redundant temporal Local Binary Pattern NRTLBP as a descriptor of the Pattern Of Interest (POI) signal. The original signal is extracted directly from local patch in region of interest. We introduce the wavelet decomposition as a pre-processing stage in order to extract the approximation wave-components of the raw signal. Then, NRTLBP is applied on the wave-components which provide wavelet domain descriptor of the raw thermal signature. Finally, we provide an evaluation of our method on the real dataset (Preterm Pain in Infants “PPI” ) composed of thermal videos developed in the context of Infant pain project, a french project supported by the French National Research Agency Projects for science (ANR)

    A SENtence Supramodal Areas AtlaS (SENSAAS) based on multiple task-induced activation mapping and graph analysis of intrinsic connectivity in 144 healthy right-handers

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