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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

824
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.
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Modeling in Therapy01:26

Modeling in Therapy

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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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Operant Conditioning Intervention01:24

Operant Conditioning Intervention

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Operant conditioning serves as a foundational principle in therapeutic interventions aimed at modifying maladaptive behaviors. Central to this approach is the notion that behaviors, both adaptive and maladaptive, are learned through reinforcement. By analyzing the environmental factors that reinforce problematic behaviors, clinicians can design interventions to weaken these reinforcements and replace maladaptive behaviors with healthier alternatives.
In operant conditioning, behaviors that are...
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Detecting and Classifying Self-injurious Behavior in Autism Spectrum Disorder Using Machine Learning Techniques.

Kristine D Cantin-Garside1, Zhenyu Kong1, Susan W White2,3

  • 1Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, 24060, USA.

Journal of Autism and Developmental Disorders
|March 29, 2020
PubMed
Summary
This summary is machine-generated.

Machine learning accurately detects self-injurious behavior (SIB) in children with autism spectrum disorder (ASD) using wearable sensors. This technology offers a promising step towards objective SIB monitoring and improved care.

Failed At:

2026-06-19T13:38:32.119382+00:00

Keywords:
Activity recognitionAutismMachine learningWearable sensors

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