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步態識別在生物醫學康復領域的研究進展
來源: | 作者: | 發布時間:2014-4-15 17:46:16

步態識別在生物醫學康復領域的研究進展
王斐1,2,張育中1,聞時光1
基金項目:高等學校博士學科點專項科研基金(新教師)(20070145105),機器人技術與系統國家重點實驗室(哈爾濱工業大學)開放基金金(SKLRS-2010-ZD-03),中央高;A科研基金(N090404007)
作者簡介:王斐(1974-),男,副教授,主要研究方向:模式識別、康復機器人.

(1. 東北大學 信息科學與工程學院,沈陽 110819;2. 哈爾濱工業大學 機器人技術與系統國家重點實驗室,哈爾濱 158100)
摘要:步態識別是目前生物特征識別研究的熱點之一,在身份識別、臨床康復、計算機輔助診斷和仿人機器人等領域具有廣泛的應用前景。由于步態數據的高維、時間依賴、高可變性和非線性使得定量的步態分析極具挑戰。在分析國內外生物醫學康復領域近年來步態識別研究現狀的基礎上,對其涉及的信息感知、特征提取和模式分類等問題及典型方法進行了闡述和分析。對四種常用步態感知方式、三種特征提取算法及多層感知機、決策樹、支持向量機和貝葉斯網絡等四種典型的模式分類方法進行了分析與評價。同時,對延時輸入方法進行了剖析。最后對定量的步態識別研究的發展進行了討論。
關鍵詞:生物醫療康復;步態識別;步態采集;特征提;模式分類;延時輸入
Research process of gait recognition in biomedical rahablitation
WANG Fei1,2, ZHANG Yuzhong1, WEN Shiguang1
(1. College of Information Science & Engineering, Northeastern University, Shenyang 110819;2. State Key Laboratory of Robotics & System, Harbin Institute of Technology, Harbin 158100)
Abstract: Gait recognition is one of the research hotspots in current biometrics, which has an extensive application perspect in identification, clinical rehabilitation, computer assisted diagnose and humanoid robotics. The analysis of quantitative gait has traditionally been a challenging endeavour for high-dimensionality, temporal dependence, high variability and nonlinear relationship of multivariate gait data. Through a critical survey of recent gait recognition studies in biomedical rehabilitation, technological status and research achievements were summarized.
Key words: biomedical rehabilitation; gait recognition; feature extraction; pattern classification; input delay

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