Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications.
Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications.
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DOI：
10.3390/s140203362
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发表时间：
2014-02-19
期刊：
影响因子：
--
通讯作者：
Mendez-Zorrilla A
中科院分区：
文献类型：
--
作者：
Muro-de-la-Herran A;Garcia-Zapirain B;Mendez-Zorrilla A
本文从图像处理、地面传感器和人体传感器三个方面综述了人体步态识别和分析的方法。新技术的进步导致了一系列设备和技术的发展，这些设备和技术可以进行客观评价，使测量更加高效和有效，并为专家提供可靠的信息。首先介绍了步态识别的关键参数和半主观方法。其次，对各种客观方法的技术和研究进行了综述。最后，根据最新的研究成果，讨论了每种方法的特点。在2012年底和2013年发表的综述文章中，40%与非可穿戴系统相关，37.5%介绍了基于惯性传感器的系统，其余22.5%与其他可穿戴系统相关。越来越多的研究工作表明，各种参数，如精度，一致性，可用性或可移植性表明，基于人体传感器的便携式系统是有前途的步态分析方法。
This article presents a review of the methods used in recognition and analysis of the human gait from three different approaches: image processing, floor sensors and sensors placed on the body. Progress in new technologies has led the development of a series of devices and techniques which allow for objective evaluation, making measurements more efficient and effective and providing specialists with reliable information. Firstly, an introduction of the key gait parameters and semi-subjective methods is presented. Secondly, technologies and studies on the different objective methods are reviewed. Finally, based on the latest research, the characteristics of each method are discussed. 40% of the reviewed articles published in late 2012 and 2013 were related to non-wearable systems, 37.5% presented inertial sensor-based systems, and the remaining 22.5% corresponded to other wearable systems. An increasing number of research works demonstrate that various parameters such as precision, conformability, usability or transportability have indicated that the portable systems based on body sensors are promising methods for gait analysis.
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影响因子：
2.4
作者：
Forner Cordero, A;Koopman, HJFM;van der Helm, FCT
通讯作者：
van der Helm, FCT
影响因子：
3.3
作者：
Bae, Joonbum;Tomizuka, Masayoshi
通讯作者：
Tomizuka, Masayoshi
使用可穿戴电容传感系统进行运动模式分类
DOI：
10.1109/tnsre.2013.2262952
发表时间：
2013-09-01
影响因子：
4.9
作者：
Chen, Baojun;Zheng, Enhao;Wang, Long
通讯作者：
Wang, Long
影响因子：
9.9
作者：
Hobart, JC;Riazi, A;Thompson, AJ
通讯作者：
Thompson, AJ
影响因子：
14.5
作者：
Cutter, GR;Baier, ML;Willoughby, E
通讯作者：
Willoughby, E