scholarly journals EmbrASD: Android Mobile Application for Children with Autism as a Supplemental Tool for Therapy

2021 ◽  
Vol 2 (2) ◽  
pp. 61-67
Author(s):  
Aris E. Ignacio ◽  
Mark Angelo A. Ligot
Keyword(s):  
Applied Behavior Analysis ◽  
Mobile Application ◽  
System Development ◽  
Video Recording ◽  
Children With Autism ◽  
Occupational Therapist ◽  
Communication Behaviors ◽  
Wide Range ◽  
Specific Goal ◽  
Speech Therapist

Autism has a very wide range that influences people, specifically children in general. Usually, it affects a child’s social interaction, communication, behaviors, and interests. Providing a complete device for treatment which is planned to be used by kids with autism needs to be taken into consideration. There is no software available that will adhere to the main areas of autism. The development a multidimensional software that focuses the main areas of kids with autism was a specific goal that the paper is being addressed. It is planned from the viewpoint of several specialists: more particularly speech therapist, occupational therapist, Special Education (SPED) educator and an Applied Behavior Analysis (ABA) specialist. The specialists’ focused objectives were lengthily included into the planning of the software. The development of an application for the young with autism that would completely attend to all the main areas that are initiated by autism and serves as an addendum to treatment is the primary goal of the study. Interviews from, speech therapist, occupational therapist, SPED teacher, ABA therapist and a SPED therapist will serve as a basis and the prototyping methodology for system development. With the implemented system, the intended users gave an approval on the application to be integrated in the teaching of children with autism. Suggestions on the improvement of the application comprises of including video recording for API 22, implementing the system in the iOS environment, and concentration on older autism cases were recommended.

scholarly journals Lexical Semantic Knowledge of Children with ASD—a Review Study

2021 ◽  
Author(s):  
Nufar Sukenik ◽  
Laurice Tuller
Keyword(s):  
Children With Autism ◽  
Semantic Knowledge ◽  
Future Studies ◽  
Lexical Semantic ◽  
Children With Asd ◽  
Wide Range ◽  
Lexical Semantic Knowledge ◽  
Review Study ◽  
Linguistic Impairment ◽  
Semantic Skills

AbstractStudies on the lexical semantic abilities of children with autism have yielded contradicting results. The aim of the current review was to explore studies that have specifically focused on the lexical semantic abilities of children with ASD and try to find an explanation for these contradictions. In the 32 studies reviewed, no single factor was found to affect lexical semantic skills, although children with broader linguistic impairment generally, but not universally, also showed impaired lexical semantic skills. The need for future studies with young ASD participants, with differing intellectual functioning, longitudinal studies, and studies assessing a wide range of language domains are discussed.

scholarly journals Prototype of the Near-Infrared Spectroscopy Expert System for Particleboard Identification

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Anna Sandak ◽  
Jakub Sandak ◽  
Dominika Janiszewska ◽  
Salim Hiziroglu ◽  
Marta Petrillo ◽  
...  
Keyword(s):  
Quality Control ◽  
Expert System ◽  
Near Infrared ◽  
System Development ◽  
Nir Spectroscopy ◽  
Original System ◽  
Adhesive System ◽  
Type Composition ◽  
Wide Range ◽  
Panel Type

The overall goal of this work was to develop a prototype expert system assisting quality control and traceability of particleboard panels on the production floor. Four different types of particleboards manufactured at the laboratory scale and in industrial plants were evaluated. The material differed in terms of panel type, composition, and adhesive system. NIR spectroscopy was employed as a pioneer tool for the development of a two-level expert system suitable for classification and traceability of investigated samples. A portable, commercially available NIR spectrometer was used for nondestructive measurements of particleboard panels. Twenty-five batches of particleboards, each containing at least three independent replicas, was used for the original system development and assessment of its performance. Four alternative chemometric methods (PLS-DA, kNN, SIMCA, and SVM) were used for spectroscopic data classification. The models were developed for panel recognition at two levels differing in terms of their generality. In the first stage, four among twenty-four tested combinations resulted in 100% correct classification. Discrimination precision with PLS-DA and SVMC was high (>99%), even without any spectra preprocessing. SNV preprocessed spectra and SVMC algorithm were used at the second stage for panel batch classification. Panels manufactured by two producers were 100% correctly classified, industrial panels produced by different manufacturing plants were classified with 98.9% success, and the experimental panels manufactured in the laboratory were classified with 63.7% success. Implementation of NIR spectroscopy for wood-based product traceability and quality control may have a great impact due to the high versatility of the production and wide range of particleboards utilization.

scholarly journals Developing iPad Application based on Video Modeling to Enhance Self-Protection Skills for Children with Autism Spectrum Disorder in Jeddah

2019 ◽  
Vol 3 (7) ◽  
Author(s):  
Afnan Maatouk Al - Talhi
Keyword(s):  
Autism Spectrum Disorder ◽  
Experimental Design ◽  
Video Modeling ◽  
Mobile Application ◽  
Children With Autism ◽  
Autism Spectrum ◽  
The Self ◽  
Autistic Children ◽  
Self Protection ◽  
Experimental Group

The current study aimed to develop a mobile application based on video modeling to improve and enhance self-protection skills for children with autism. Semi-experimental design of the two groups was adopted: the control, which received the self-protection skills in the traditional way, while these skills was provided to the experimental group through the application based on video modeling. The research sample was consisted of 16 students who met the criteria. The researcher was applied the self-protection skills scale on the sample. After the experiment was applied for five weeks, the data were analyzed statistically. The results showed the effectiveness of the application in the development of self-protection skills for autistic children. The researcher recommended the use of the preferences of children with autism and the use of applications that based on video modeling in their education.

scholarly journals UAV-LiCAM SYSTEM DEVELOPMENT: CALIBRATION AND GEO-REFERENCING

2018 ◽  
Vol XLII-1 ◽  
pp. 107-114 ◽  
Author(s):  
C. Cortes ◽  
M. Shahbazi ◽  
P. Ménard
Keyword(s):  
Particle Filtering ◽  
System Development ◽  
Low Cost ◽  
Base Station ◽  
Dual Frequency ◽  
Body Frame ◽  
Integrated Sensor ◽  
Sensor Orientation ◽  
Wide Range ◽  
Gnss Measurements

<p><strong>Abstract.</strong> In the last decade, applications of unmanned aerial vehicles (UAVs), as remote-sensing platforms, have extensively been investigated for fine-scale mapping, modeling and monitoring of the environment. In few recent years, integration of 3D laser scanners and cameras onboard UAVs has also received considerable attention as these two sensors provide complementary spatial/spectral information of the environment. Since lidar performs range and bearing measurements in its body-frame, precise GNSS/INS data are required to directly geo-reference the lidar measurements in an object-fixed coordinate system. However, such data comes at the price of tactical-grade inertial navigation sensors enabled with dual-frequency RTK-GNSS receivers, which also necessitates having access to a base station and proper post-processing software. Therefore, such UAV systems equipped with lidar and camera (UAV-LiCam Systems) are too expensive to be accessible to a wide range of users. Hence, new solutions must be developed to eliminate the need for costly navigation sensors. In this paper, a two-fold solution is proposed based on an in-house developed, low-cost system: 1) a multi-sensor self-calibration approach for calibrating the Li-Cam system based on planar and cylindrical multi-directional features; 2) an integrated sensor orientation method for georeferencing based on unscented particle filtering which compensates for time-variant IMU errors and eliminates the need for GNSS measurements.</p>

Procedures and compliance of a video modeling applied behavior analysis intervention for Brazilian parents of children with autism spectrum disorders

Autism ◽  
2017 ◽  
Vol 21 (5) ◽  
pp. 603-610 ◽  
Author(s):  
Leila F Bagaiolo ◽  
Jair de J Mari ◽  
Daniela Bordini ◽  
Tatiane C Ribeiro ◽  
Maria Carolina C Martone ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Applied Behavior Analysis ◽  
Joint Attention ◽  
Video Modeling ◽  
Low Cost ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Training Intervention ◽  
Parental Training

Video modeling using applied behavior analysis techniques is one of the most promising and cost-effective ways to improve social skills for parents with autism spectrum disorder children. The main objectives were: (1) To elaborate/describe videos to improve eye contact and joint attention, and to decrease disruptive behaviors of autism spectrum disorder children, (2) to describe a low-cost parental training intervention, and (3) to assess participant’s compliance. This is a descriptive study of a clinical trial for autism spectrum disorder children. The parental training intervention was delivered over 22 weeks based on video modeling. Parents with at least 8 years of schooling with an autism spectrum disorder child between 3 and 6 years old with an IQ lower than 70 were invited to participate. A total of 67 parents fulfilled the study criteria and were randomized into two groups: 34 as the intervention and 33 as controls. In all, 14 videos were recorded covering management of disruptive behaviors, prompting hierarchy, preference assessment, and acquisition of better eye contact and joint attention. Compliance varied as follows: good 32.4%, reasonable 38.2%, low 5.9%, and 23.5% with no compliance. Video modeling parental training seems a promising, feasible, and low-cost way to deliver care for children with autism spectrum disorder, particularly for populations with scarce treatment resources.

Failure to Replicate the Effects of the High-Probability Instructional Sequence on Feeding in Children With Autism and Food Selectivity

2018 ◽  
Vol 43 (5) ◽  
pp. 734-762 ◽  
Author(s):  
Bryant C. Silbaugh ◽  
Samantha Swinnea
Keyword(s):  
Applied Behavior Analysis ◽  
Behavioral Intervention ◽  
Behavioral Interventions ◽  
High Probability ◽  
Children With Autism ◽  
Food Selectivity ◽  
Instructional Sequence ◽  
Feeding Problems ◽  
Experimental Control ◽  
Positive Effects

Behavioral intervention has positive effects on feeding problems of children with autism and food selectivity (FS), and researchers have evaluated a variety of specific behavioral interventions. Confidence in the effects of some specific interventions on feeding such as the high-probability instructional sequence (HPS) is limited by a lack of replication. Therefore, we assessed the generality of the HPS by replicating the intervention in children with autism and FS. Contrary to prior research, the HPS did not improve feeding responses for three consecutive children enrolled in the study. We discuss the results in relation to publishing failures to replicate without experimental control in applied behavior analysis research.

Scanning laser wave recorder with registration of “instantaneous” sea surface profiles

2021 ◽  
Author(s):  
V.V. Sterlyadkin ◽  
K.V. Kulikovsky ◽  
A.V. Kuzmin ◽  
E.A. Sharkov ◽  
M.V. Likhacheva
Keyword(s):  
Spatial Scales ◽  
Wind Waves ◽  
Single Point ◽  
Video Recording ◽  
Surface Profile ◽  
Weather Conditions ◽  
Sea Surface ◽  
Sea Waves ◽  
Wide Range ◽  
Wave Recorder

AbstractA direct optical method for measuring the “instantaneous” profile of the sea surface with an accuracy of 1 mm and a spatial resolution of 3 mm is described. Surface profile measurements can be carried out on spatial scales from units of millimeters to units of meters with an averaging time of 10−4 s. The method is based on the synchronization of the beginning of scanning a laser beam over the sea surface and the beginning of recording the radiation scattered on the surface onto the video camera matrix. The heights of all points of the profile are brought to a single point in time, which makes it possible to obtain “instantaneous” profiles of the sea surface with the frequency of video recording. The measurement technique and data processing algorithm are described. The errors of the method are substantiated. The results of field measurements of the parameters of sea waves are presented: amplitude spectra, distribution of slopes at various spatial averaging scales. The applied version of the wave recorder did not allow recording capillary oscillations, but with some modernization it will be possible. The method is completely remote, does not distort the properties of the surface, is not affected by wind, waves and sea currents, it allows you to measure the proportion of foam on the surface. The possibility of applying the proposed method at any time of the day and in a wide range of weather conditions has been experimentally proved.

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