Robot-Assisted ADHD Screening in Diagnostic Process

This paper presents a novel approach to screening children with ADHD, one of the most prevalent childhood disorders. We have designed the robot-assisted, game-like test that directly reflects children’s behavior on measuring ADHD symptoms. Using the sensors in the robot system, most of the children’...

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Bibliographic Details
Published inJournal of intelligent & robotic systems Vol. 95; no. 2; pp. 351 - 363
Main Authors Choi, Mun-Taek, Yeom, Jinseob, Shin, Yunhee, Park, Injun
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.08.2019
Springer
Springer Nature B.V
Subjects
Artificial Intelligence
Attention Deficit Hyperactivity Disorder
Automation
Behavior
Children
Control
Data analysis
Diagnostic systems
Electrical Engineering
Engineering
Mechanical Engineering
Mechatronics
Medical screening
Robotics
Robots
Screening
Sensors
Special education
Screening test
Special education
Robot
Classification
Childhood ADHD
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Summary:This paper presents a novel approach to screening children with ADHD, one of the most prevalent childhood disorders. We have designed the robot-assisted, game-like test that directly reflects children’s behavior on measuring ADHD symptoms. Using the sensors in the robot system, most of the children’s behavior is automatically measured during the entire course of the test. We collected real data by carrying out tests to 326 children from 3rd to 4th grades in the field. A unified frame that classifies multiple categories of ADHD, ADHD-at-Risk and normal has been set up to investigate a wide spectrum of classifiers and their optimal hyper-parameters. The results of the data analysis show highly confident ADHD classification, up to 97% (F 1 score). It could be a practical tool for clinicians and special teachers to use in the diagnosis of childhood ADHD.
ISSN:0921-0296
1573-0409
DOI:10.1007/s10846-018-0890-9