AIMC Topic: Problem Behavior
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Unusual Driver Behavior Detection in Videos Using Deep Learning Models.
Sensors (Basel, Switzerland)
Dec 28, 2022
Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safety of drivers and passengers in vehicles. Road accidents happen for various reasons, including health, mental stress, and fatigue. It is critical to m...
Deep Learning-Based ADHD and ADHD-RISK Classification Technology through the Recognition of Children's Abnormal Behaviors during the Robot-Led ADHD Screening Game.
Sensors (Basel, Switzerland)
Dec 27, 2022
Although attention deficit hyperactivity disorder (ADHD) in children is rising worldwide, fewer studies have focused on screening than on the treatment of ADHD. Most previous similar ADHD classification studies classified only ADHD and normal classes...
Spatio-Temporal Abnormal Behavior Prediction in Elderly Persons Using Deep Learning Models.
Sensors (Basel, Switzerland)
Apr 21, 2020
The ability to identify and accurately predict abnormal behavior is important for health monitoring systems in smart environments. Specifically, for elderly persons wishing to maintain their independence and comfort in their living spaces, abnormal b...
[Therapeutic use of robotics in children with Autism Spectrum Disorder].
Andes pediatrica : revista Chilena de pediatria
Oct 1, 2021
INTRODUCTION: Robot-assisted Therapy (RAT) can improve the behavior of children with Autism Spectrum Disorder (ASD) in a spontaneous and entertaining way. There are no previous experiences of this type of inter vention in our country.
Teaching Robotics Coding to a Student with ASD and Severe Problem Behavior.
Journal of autism and developmental disorders
Jun 1, 2019
Research on teaching STEM, especially in the areas of teaching coding for students with ASD, is lacking. The purpose of the current study was to evaluate the effects of using model-lead-test to teach an elementary-aged student with ASD and severe pro...
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