文章基本信息

标题：Applicability of Spiral Drawing Test for Mental Fatigue Modelling
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作者：Olesja Senkiv ; Sven Nõmm ; Aaro Toomela 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：51
期号：34
页码：190-195
DOI：10.1016/j.ifacol.2019.01.064
语种：English
出版社：Elsevier
摘要：AbstractApplicability of the spiral drawing test to fatigue modelling is in focus of the present research. During the recent time fatigue detection and modelling gain a lot of attention. Nevertheless, relatively few results are devoted to the applicability of fine motor tests to tackle the problem. Initially developed to diagnose and model cognitive impairments, like those caused by neurodegenerative disease, fine motor tests provide the unique insight in the state of human motor functions both, on the levels of planning and execution of limb motions. The spiral drawing test was chosen due to its popularity among practitioners and due to the fact that it was among the first to be digitised. The latest, provide different opportunities to use commonly used features to describe and interpret achieved results. Performance of the four most popular machine learning techniques: decision trees, logistic regression, k-nearest neighbours and support vector machines was evaluated with respect to their ability to distinguish between the individuals experiencing fatigue and control group individuals. It is demonstrated that features describing the smoothness of the fine motor motions possess the same discriminating power as commonly used temporal features.
关键词：KeywordsFatiguemodellingfine-motor testsmachine learning