A Robust Movement Quantification Algorithm of Hyperactivity Detection for ADHD Children Based on 3D Depth Images-Reference-Cited by-同舟云学术

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A Robust Movement Quantification Algorithm of Hyperactivity Detection for ADHD Children Based on 3D Depth Images

Published:2022 Issue: Volume:31 Page:5025-5037
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

He Ling¹^ORCID,He Fei¹^ORCID,Li Yuanyuan²,Xiong Xi³^ORCID,Zhang Jing¹^ORCID

Affiliation:

1. College of Biomedical Engineering, Sichuan University, Chengdu, China

2. Mental Health Center, West China School of Medicine, Sichuan University, Chengdu, China

3. School of Cybersecurity, Chengdu University of Information Technology, Chengdu, China

Funder

Key Research and Development Projects of Sichuan Science and Technology Department

National Natural Science Foundation of China

Sichuan University-Yibin School-City Strategic Cooperation Special Fund Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09829220.pdf?arnumber=9829220

Reference45 articles.

1. Investigation of edge detection methods using the example of wave field pattern image

2. Parameterised structured light imaging for depth edge detection

3. Body movements of boys with Attention Deficit Hyperactivity Disorder (ADHD) during computer video game play

4. Movement Patterns in Students Diagnosed with ADHD, Objective Measurement in a Natural Learning Environment

5. Body movement in children with ADHD calculated using video images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrative Approaches for Understanding and Characterizing ADHD;Advances in Medical Technologies and Clinical Practice;2024-02-23

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