中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automated fine motor evaluation for developmental coordination disorder

文献类型:期刊论文

作者Li, Ruimin1,2,3; Fu, Hong3; Zheng, Yang1,2,3; Lo, Wai-Lun3; Yu, Jane J.4; Sit, Cindy H. P.4; Chi, Zheru5; Song, Zongxi6; Wen, Desheng6
刊名IEEE Transactions on Neural Systems and Rehabilitation Engineering
出版日期2019-05
卷号27期号:5页码:963-973
ISSN号15344320
关键词Developmental coordination disorder (DCD) assessment fine motor evaluation system motion capture task localization task evaluation
DOI10.1109/TNSRE.2019.2911303
产权排序6
英文摘要

Developmental coordination disorder (DCD) is a type of motor learning difficulty that affects five to six percent of school-Aged children, which may have a negative impact on the life of the sufferers. Timely and objective diagnosis of DCD are important for the success of the intervention. The present evaluation methods of DCD rely heavily on the observational analysis of occupational therapists and physiotherapists, who score the performance when children conduct some designed tasks. However, these methods are expensive, subjective, and are not easy to expand to a larger population. A fine motor evaluation system (FMES) is proposed with two views of cameras to record children's performance, when they carry out three fine motor tasks. Automated algorithms are developed to perform automated scoring of fine motor skill. The automated algorithms include task localization and individual task evaluation. The purpose of task localization is to detect each task and extract segments belonging to each task from the original video that includes multiple segments of different tasks. A convolutional neural network with temporal filtering is used to do frame-wise classification, and a boundary localization algorithm is proposed to localize each task segment. For individual task evaluation, the extracted video segments of task 1 and task 2 are evaluated based on the proposed feature extraction and time positioning algorithm, and the paper drawings of task 3 are evaluated based on image processing. The proposed methods are validated on a diverse population of children with or without DCD by comparing automated scoring with manual scoring from a professional evaluator. The experimental results suggest that the proposed methods can effectively achieve fine motor evaluation for DCD assessment. Besides, our system is a low-cost solution, and the evaluation methods developed are automated, objective, and can be suited for large population evaluation and analysis. ? 2001-2011 IEEE.

语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
WOS记录号WOS:000467572900019
源URL[http://ir.opt.ac.cn/handle/181661/31506]  
专题西安光学精密机械研究所_空间光学应用研究室
通讯作者Fu, Hong
作者单位1.Xi'An Institute of Optics and Precision Mechanics of CAS, Xi'an; 710119, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China;
3.Department of Computer Science, Chu Hai College of Higher Education, Hong Kong; 999077, Hong Kong;
4.Department of Sports Science and Physical Education, Chinese University of Hong Kong, Hong Kong; 999077, Hong Kong;
5.Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong; 999077, Hong Kong;
6.Xi'An Institute of Optics and Precision Mechanics of CAS, Xi?Lan, China
推荐引用方式
GB/T 7714
Li, Ruimin,Fu, Hong,Zheng, Yang,et al. Automated fine motor evaluation for developmental coordination disorder[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering,2019,27(5):963-973.
APA Li, Ruimin.,Fu, Hong.,Zheng, Yang.,Lo, Wai-Lun.,Yu, Jane J..,...&Wen, Desheng.(2019).Automated fine motor evaluation for developmental coordination disorder.IEEE Transactions on Neural Systems and Rehabilitation Engineering,27(5),963-973.
MLA Li, Ruimin,et al."Automated fine motor evaluation for developmental coordination disorder".IEEE Transactions on Neural Systems and Rehabilitation Engineering 27.5(2019):963-973.

入库方式: OAI收割

来源:西安光学精密机械研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。