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Evaluation of the gross motor abilities of autistic children with a computerised evaluation method

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成果类型:
期刊论文
作者:
Liu, Xiaodi;Chen, Jingying;Wang, Guangshuai;Zhang, Kun;Sun, Jianchi;...
通讯作者:
Chen, JY
作者机构:
[Sun, Jianchi; Wang, Guangshuai; Liu, Xiaodi; Chen, Jingying; Zhang, Kun; Ma, Pianpian] Cent China Normal Univ, Fac Artificial Intelligence Educ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
[Wang, Guangshuai] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China.
[Zhang, Rujing] Liaocheng Univ, Sch Media & Technol, Liaocheng, Peoples R China.
通讯机构:
[Chen, JY ] C
Cent China Normal Univ, Fac Artificial Intelligence Educ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Evaluation;autism;gross motor skills;PEP-3
期刊:
Behaviour & Information Technology
ISSN:
0144-929X
年:
2023
基金类别:
National Natural Science Foundation of China [62377018, 61977027]; Science & Technology Major Project of Hubei Province Next-Generation AI Technologies & Technology Major Project of Hubei Province Next-Generation AI Technologies [2021BEA159]; Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE Colleges' Basic Research and Operation of MOE [CCNU22JC010, CCNU23XJ006]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
To effectively evaluate the gross motor ability of autistic children, we proposed a method of computerised evaluation of gross motor skills (CEGM). The CEGM integrates Dynamic Time Warping (DTW) method and OpenPose technology to automatically detect key joints and return a score. Ten items were selected for evaluation based on the gross motor subtest of the Psychoeducational Profile - Third Edition (PEP-3) scale, including upper limb movement, lower limb movement, and body coordination performance. 30 autistic participants (males: 23, female: 7) with an average age of 5.00 years were recruited...

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