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Detection of Freezing of Gait Using Template-Matching-Based Approaches
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نویسنده
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xu c. ,he j. ,zhang x. ,wang c. ,duan s.
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منبع
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journal of sensors - 2017 - دوره : 2017 - شماره : 0
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چکیده
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Every year,injuries associated with fall incidences cause lots of human suffering and assets loss for parkinson's disease (pd) patients. thereinto,freezing of gait (fog),which is one of the most common symptoms of pd,is quite responsible for most incidents. although lots of researches have been done on characterized analysis and detection methods of fog,large room for improvement still exists in the high accuracy and high efficiency examination of fog. in view of the above requirements,this paper presents a template-matching-based improved subsequence dynamic time warping (isdtw) method,and experimental tests were carried out on typical open source datasets. results show that,compared with traditional template-matching and statistical learning methods,proposed isdtw not only embodies higher experimental accuracy (92%) but also has a significant runtime efficiency. by contrast,isdtw is far more available in real-time practice applications. © 2017 cheng xu et al.
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آدرس
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school of computer and communication engineering,university of science and technology,beijing,china,beijing key laboratory of knowledge engineering for materials science,beijing, China, school of computer and communication engineering,university of science and technology,beijing,china,beijing key laboratory of knowledge engineering for materials science,beijing, China, school of computer and communication engineering,university of science and technology,beijing,china,beijing key laboratory of knowledge engineering for materials science,beijing, China, school of computer and communication engineering,university of science and technology,beijing,china,beijing key laboratory of knowledge engineering for materials science,beijing, China, school of computer and communication engineering,university of science and technology,beijing,china,beijing key laboratory of knowledge engineering for materials science,beijing, China
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Authors
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