{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:27:41Z","timestamp":1771954061050,"version":"3.50.1"},"reference-count":30,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003052","name":"Ministry of Trade, Industry, and Energy of Korea","doi-asserted-by":"publisher","award":["20003762"],"award-info":[{"award-number":["20003762"]}],"id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open AI Dataset Project (AI-Hub, S.Korea) in 2022","award":["20003762"],"award-info":[{"award-number":["20003762"]}]},{"name":"GIST Research Project","award":["20003762"],"award-info":[{"award-number":["20003762"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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. However, medical professionals believe that better distinguishing the ADHD\u2013RISK class will assist them socially and medically. We created a projection-based game in which we can see stimuli and responses to better understand children\u2019s abnormal behavior. The developed screening game is divided into 11 stages. Children play five games. Each game is divided into waiting and game stages; thus, 10 stages are created, and the additional waiting stage includes an explanation stage where the robot waits while explaining the first game. Herein, we classified normal, ADHD\u2013RISK, and ADHD using skeleton data obtained through games for ADHD screening of children and a bidirectional long short-term memory-based deep learning model. We verified the importance of each stage by passing the feature for each stage through the channel attention layer. Consequently, the final classification accuracy of the three classes was 98.15% using bi-directional LSTM with channel attention model. Additionally, the attention scores obtained through the channel attention layer indicated that the data in the latter part of the game are heavily involved in learning the ADHD\u2013RISK case. These results imply that for ADHD\u2013RISK, the game is repeated, and children\u2019s attention decreases as they progress to the second half.<\/jats:p>","DOI":"10.3390\/s23010278","type":"journal-article","created":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T05:31:54Z","timestamp":1672205514000},"page":"278","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Deep Learning-Based ADHD and ADHD-RISK Classification Technology through the Recognition of Children\u2019s Abnormal Behaviors during the Robot-Led ADHD Screening Game"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5981-2375","authenticated-orcid":false,"given":"Wonjun","family":"Lee","sequence":"first","affiliation":[{"name":"School of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8363-3054","authenticated-orcid":false,"given":"Sanghyub","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8787-5608","authenticated-orcid":false,"given":"Deokwon","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8757-2014","authenticated-orcid":false,"given":"Kooksung","family":"Jun","sequence":"additional","affiliation":[{"name":"School of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong Hyun","family":"Ahn","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Hanyang University Hospital, Seoul 04763, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6050-6594","authenticated-orcid":false,"given":"Mun Sang","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"key":"ref_1","unstructured":"Hoseini, B.L., Ajilian, M., Taghizade, M.H., Khademi, G., and Saeidi, M. 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