{"title":"Skeleton Timed Up and Go","authors":"Okko Lohmann, T. Luhmann, A. Hein","doi":"10.1109/BIBM.2012.6392610","DOIUrl":null,"url":null,"abstract":"This paper presents a novel approach to fully automate the Timed Up and Go Assessment Test (TUG) in professional environments. The approach, called Skeleton Timed Up and Go (sTUG), is based on the usage of two Kinect for Xbox 360 sensors. sTUG supports the execution and documentation of the traditional TUG assessment test and furthermore calculates nine events, which demarcate the five main components during a run. On two days we conducted an experiment with five elderly aged 70-84 and four males aged 29-31 in the activity laboratory of the OFFIS Institute, Oldenburg to proof the reliability and feasibility of the system. Results demonstrate that sTUG can precisely measure the total duration of traditional TUG and is capable of detecting accurately nine motion events which demarcate the components during a run.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2012.6392610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
This paper presents a novel approach to fully automate the Timed Up and Go Assessment Test (TUG) in professional environments. The approach, called Skeleton Timed Up and Go (sTUG), is based on the usage of two Kinect for Xbox 360 sensors. sTUG supports the execution and documentation of the traditional TUG assessment test and furthermore calculates nine events, which demarcate the five main components during a run. On two days we conducted an experiment with five elderly aged 70-84 and four males aged 29-31 in the activity laboratory of the OFFIS Institute, Oldenburg to proof the reliability and feasibility of the system. Results demonstrate that sTUG can precisely measure the total duration of traditional TUG and is capable of detecting accurately nine motion events which demarcate the components during a run.
本文提出了一种在专业环境中实现完全自动化的time Up and Go评估测试(TUG)的新方法。这种方法被称为Skeleton Timed Up and Go (sTUG),是基于Xbox 360的两个Kinect传感器的使用。sTUG支持传统TUG评估测试的执行和文档编制,并进一步计算9个事件,这些事件在运行期间划分了5个主要组件。我们用两天的时间在Oldenburg OFFIS Institute的活动实验室对5名70-84岁的老年人和4名29-31岁的男性进行了实验,以证明系统的可靠性和可行性。结果表明,sTUG可以精确地测量传统TUG的总持续时间,并能够准确地检测出在一次运行中划分组件的9个运动事件。