Integration of physical health and sensory processing assessment for children with autism spectrum disorder in schools

Trudel, Sierra M.; Winter, Emily L.; Fitzmaurice, Brenna; Norman, Gina; Bray, Clark R.

doi:10.1002/pits.22704

Cited by 5 publications

(3 citation statements)

References 116 publications

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“…Children with ASD exhibit deficits in postural control, motor planning, and motor imitation, which may negatively impact their capacity to carry out motor activities that are age-appropriate (Hilton & Ratcliff, 2022). 90% of kids with ASD have sensory processing issues, such as tactile hypersensitivity and other sensory modulation abnormalities, which may make it difficult for them to continue participating in the motor activities needed for learning (Trudel et al, 2022). The desired level of age-appropriate motor development is not attained (Hebert et al, 2022).…”

Section: Asd and Physical Activitymentioning

confidence: 99%

Effect of Physical Activity Interventions in Autism Spectrum Disorder

YILMAZ

2022

International Journal of Disabilities Sports and Health Sciences

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Autism spectrum disorder (ASD) is a pervasive developmental disorder with limited social and communication skills, and limited and repetitive movements. Motor skills in these individuals may differ compared to their peers. It is known that it creates a special risk group because it increases the risk of heart diseases, diabetes and obesity. It is thought that physical activity will also be effective on individuals with autism in terms of proving that it is an effective tool in reducing these risks in individuals with normal development. Despite the partial success of standard treatment methods for ASD, there has been an increase in recent years that physical activity can have positive effects on children with autism. According to the studies examined, it is stated that physical activity reduces the maladaptive behavior patterns of people with ASD as well as physical development. In the studies reviewed in the literature, it has been determined that participation in physical activity in children with autism reduces stereotypic behaviors. In addition, it has been found that physical activity has positive effects on communication skills, sensory skills and academic skills of children with communication autism. In this review, the effects of physical activity interventions on individuals with ASD are discussed.

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Section: Asd and Physical Activitymentioning

confidence: 99%

Effect of Physical Activity Interventions in Autism Spectrum Disorder

YILMAZ

2022

International Journal of Disabilities Sports and Health Sciences

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“…On the other hand, the International Classification of Diseases offers a comprehensive framework for differentiating between ASDs and those that are not; it also considers past data regarding the loss of prior skills during the diagnostic process (Trudel et al, 2023;Menaka et al, 2024). The most challenging part of recognizing ASD is that there is no identifiable pathognomonic characteristic; instead, all symptoms center on altering the behavior profile of the affected person, which varies depending on the intensity and age.…”

Section: Introductionmentioning

confidence: 99%

An Auto-encoded Warm Equilibrium Automated Learning (AE 2L) Model for Automatic Recognition and Classification of Autism Spectrum Disorder

Al-Muhanna,

Alghamdi,

Alrfaei

et al. 2024

Journal of Disability Research

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Autism spectrum disorder (ASD) is a neurological condition characterized by difficulties with communication and socializing, and repetitive activities. If the underlying reason is hereditary, early detection is still important, and machine learning offers a fascinating way to identify the condition more rapidly and economically. However, the unique issues of higher computational costs, longer execution times, and lower effectiveness affect the traditional methods. The proposed project aims to create an automated artificial intelligence tool for ASD identification that combines several state-of-the-art mining techniques to deliver the best possible level of disease prediction accuracy. For accurate and effective ASD identification, this research suggests an automated and lightweight method dubbed the auto-encoded warm equilibrium automated learner. To speed up the handicap detection process, a unique warm optimized feature selection methodology is applied to minimize the dimensionality of attributes. In addition, auto-encoded term memory equilibrium learning, a powerful deep learning technique, is designed to accurately and less frequently detect ASD from the given data. Moreover, the classifier performs better when hyperparameters are tuned using the equilibrium optimization model. The results of the proposed AE2L model have been tested and validated using a variety of parameters utilizing the well-known ASD dataset that was taken from the UCI repository.

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“…Despite the advances brought by this kind of projects, there are still limitations on the research of physical interactions in the educational processes [6,7]. People with special educational needs often require special interaction elements [8,9], due to underdeveloped sensory, behavioral or cognitive capabilities.…”

Section: Introductionmentioning

confidence: 99%

Haptic Technology: A Valuable Paradigm for Reinforcing Learning Processes in Early Childhood Special Education

Irigoyen,

Larrea,

Graña

2024

Preprint

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Nowadays, it can be observed that all kinds of technology are gradually being incorporated to assist the human being in the performance of their frequent and daily tasks. Technological tools provide means to facilitate, improve, help and support any activity which, in itself, may be complicated, either because of the difficulty involved in carrying it out, or because the person carrying it out has limited capabilities due to the environment not being prepared for their abilities and skills. In this sense, Special Education is currently receiving special attention from researchers, especially those aimed at children. Although the proposals that have appeared recently provide perfect solutions to improve educational processes with ingenious didactic applications, there is still an interesting line of study on how to interact with these younger people in these educational processes. In this sense, haptic technologies can play a very important role, complementing all these solutions by incorporating tools that facilitate direct contact with people, especially in their initial stages, which are the most complicated. This paper aims to provide an overview of haptic technologies and how they present solutions that can be integrated into the aforementioned educational processes.

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Integration of physical health and sensory processing assessment for children with autism spectrum disorder in schools

Cited by 5 publications

References 116 publications

Effect of Physical Activity Interventions in Autism Spectrum Disorder

Effect of Physical Activity Interventions in Autism Spectrum Disorder

An Auto-encoded Warm Equilibrium Automated Learning (AE 2L) Model for Automatic Recognition and Classification of Autism Spectrum Disorder

Haptic Technology: A Valuable Paradigm for Reinforcing Learning Processes in Early Childhood Special Education

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