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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

189
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
189
Modeling in Therapy01:26

Modeling in Therapy

138
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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Summary

This study introduces a novel software system for speech therapy in children with autism spectrum disorder (ASD). The system utilizes deep learning and mobile technology for accessible, home-based rehabilitation, improving communication skills.

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Area of Science:

  • Neurodevelopmental Disorders
  • Speech-Language Pathology
  • Human-Computer Interaction

Background:

  • Autism spectrum disorder (ASD) presents complex challenges in social interaction, communication, and behavior.
  • Some children with ASD experience significant difficulties with verbal communication, necessitating alternative therapeutic approaches.
  • Home-based rehabilitation and technology integration are increasingly explored to support individuals with ASD.

Purpose of the Study:

  • To design and propose a software-based speech therapy system tailored for individuals with autism spectrum disorder (ASD).
  • To integrate various technologies and deep learning techniques for enhanced human-computer interaction in therapy.
  • To facilitate accessible and consistent speech therapy through a mobile application for daily use.

Main Methods:

  • Development of a software system combining TensorFlow for image classification and ArKit for text-to-speech.
  • Integration of cloud databases, natural language processing, and datasets of sentences and images.
  • Utilizing mobile smart devices with two operating systems for a home rehabilitation environment.

Main Results:

  • The proposed system integrates multiple deep learning technologies to create an easy-to-use human-computer interaction therapy tool.
  • The software architecture facilitates seamless connection and operation of diverse components as an integrated therapy system.
  • The system enables patients with ASD to conduct therapy anytime, anywhere, and transmit progress data to medical specialists.

Conclusions:

  • The developed software offers a flexible and accessible solution for speech therapy in autism spectrum disorder.
  • This integrated system leverages advanced technologies to support communication development and home-based rehabilitation for ASD.
  • The system empowers individuals with ASD to engage in therapy independently while ensuring continuous monitoring by healthcare professionals.