工作限制對人體多肢段運動學習的影響 The influence of learning on the body multisegmental movement under task constraints

dc.contributor 劉有德 zh_TW
dc.contributor Yeou-Teh Liu en_US
dc.contributor.author 戴遠成 zh_TW
dc.contributor.author Yuan-Cheng Dai en_US
dc.date.accessioned 2019-09-05T09:19:35Z
dc.date.available 2008-7-22
dc.date.available 2019-09-05T09:19:35Z
dc.date.issued 2008
dc.description.abstract 工作限制對人體多肢段運動學習的影響 研 究 生:戴遠成 指導教授:劉有德 摘 要 當進行動作協調研究探討時,所面臨的主要挑戰就是尋找出複雜高維度的人體結構是如何被壓縮而形成低維度的協調動作型態。現今,運動行為的研究大都以 N. A. Bernstein (1967) 所提出自由度的問題當成其探討的出發點。本研究主要目的在於檢視多肢段的動作在運動學習過程中,機械自由度與動態自由度的組織變化情形。本研究以八位大學女生作為實驗參加者且先前沒有任何與本研究動作經驗。在練習的時段要求參加者雙手握持橫木槓站立於動態平衡台,並且盡量維持水平的姿勢。每天二十次試作練習,每次試作三十秒,共計六天 (一百二十次試作) 的練習。以 Kinema Tracer 3D 動作分析系統 (Kissei Comtec),藉由四部高速攝影機以 60Hz 取樣速度,擷取全身肢段十七個解剖標誌點的三維座標運動學參數。採用主成分分析來檢視動作系統的維度變化。所得資料以重複量數單因子變異數分析,t 檢定及交叉相關等統計進行比較其結果如下:. 從本研究結果中缺乏充分的證據可以支持Bernstein (1967) 所提及的凍結與釋放自由度假說。人體全身多肢段中眾多機械自由度會以自我組織的方式,縮減成少數幾個動態自由度來獲得解決。運動學習過程中,練習不但會改變全身多肢段可控制的維度的數量,而且還會導致其相關變數解釋量的轉變。最後,經由本研究發現顯示,複雜的運動行為其機械自由度的招募與壓縮會深受工作、個體與環境多重限制的交互作用影響,同樣地動態自由度的時間空間組織也會因這些限制而改變。從動力系統的觀點,生物體複雜的型態與動力或許不需要複雜控制結構。協調型態更是取決於不同限制與透過探索策略,尋找出其最佳知覺工作場所的動力。 關鍵字︰工作限制,主成分分析,動力系統 zh_TW
dc.description.abstract The influence of learning on the body multisegmental movement under task constraints Graduate Student:Yuan-Cheng Dai Advisor:Yeou-Teh Liu Abstract A primary challege in the investigation of movement coordination is discovering how high-dimension body structures are compressed into low-dimensional movement coodination. N. A. Bernstein's formulation of the problems of degrees of freedom is often taken as the starting point.The main purpose of this study was to examine the process of learning multisegmental movement on the changes in the organization of mechanical and dynamical degrees of freedom. Eight female undergraduates were served as the participants of this investigation. None of participants had priod experience with the task.The participants were performed while holding the pole and standing to keep the platform in horizontal position for as long as possible .Each participant completed 6 days of practice; each practice day included 20 trials, each 30s in length. The kinematics of the movements was measured using a four-camera, Kinema Tracer 3D motion analysis system (Kissei Comtec) with a 17 anatomical landmark whole body set-up sampled at 60 Hz. Principal Component Analysis (PCA) was used to examine dimensional changes of movement system. The data were analyzed by repeated measure one-way ANOVA, t-test and cross correlation function at .05 significant level. The results are as follows: The results provide limited empirical evidence to support Bernstein’s (1967) freezing-releasing hypothesis .The multiple degrees of freedom of whole body segments are resolved into a few control DF. The multiple segments movement revealed that the number of controlled dimensions not only change across practice but also shifted their relative contribution. Finally, the present findings showed that the interaction of task, organismic, and evironmental constraints strongly influence the recruitment and suppesion of mechanical degrees of freedom also affects their spatiotemporal organization within the dynamical dgrees of freedom.Form dynamical systems perspective, complex patterns and dynamics might not require complex control structures. In addition, the coorination pattern depends on the different constraints, and search stratgies used to explore the dynamics of perceptual workplace. Key Words: task constraints, principal component analysis, dynamical systems en_US
dc.description.sponsorship 體育學系 zh_TW
dc.identifier GN0891300152
dc.identifier.uri http://etds.lib.ntnu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22GN0891300152%22.&%22.id.&
dc.identifier.uri http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/105914
dc.language 中文
dc.subject 工作限制 zh_TW
dc.subject 主成分分析 zh_TW
dc.subject 動力系統 zh_TW
dc.subject task constraints en_US
dc.subject principal component analysis en_US
dc.subject dynamical systems en_US
dc.title 工作限制對人體多肢段運動學習的影響 zh_TW
dc.title The influence of learning on the body multisegmental movement under task constraints en_US
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