本文選題：康復訓練體感技術(shù)　切入點：運動評估　出處：《河北工業(yè)大學》2015年碩士論文　論文類型：學位論文

【摘要】：運動功能受損患者在進行相關(guān)康復訓練活動時,需要能夠定量地評估患者身體機能的提升狀況,因此有必要將康復訓練系統(tǒng)與專業(yè)康復評定方法進行結(jié)合。本文從這點出發(fā),選取Kinect體感設(shè)備作為人體運動信息感測的載體,設(shè)計了一個基于Kinect傳感器的體感康復訓練平臺。平臺融合了基本的運動數(shù)據(jù)采集和康復評價的功能,并預先設(shè)定了左右側(cè)肢體肩肘等關(guān)節(jié)典型康復訓練動作,通過體感器分別采集模板動作流數(shù)據(jù)和訓練者動作流數(shù)據(jù),在交由算法邏輯進行數(shù)據(jù)規(guī)整后,分別使用動態(tài)時間規(guī)整算法和豪斯多夫距離測度算法對兩組動作流數(shù)據(jù)的相似程度進行計算和評估;同時,本文也將康復治療學中相關(guān)的運動學評價方法應(yīng)用到康復訓練結(jié)果評定中,并進行了相關(guān)的實驗以驗證算法和理論的可行性。本文的主要工作如下:首先,闡述了康復訓練平臺的開發(fā)現(xiàn)狀以及體感技術(shù)在康復醫(yī)療領(lǐng)域的應(yīng)用實例,針對于已有輔助康復訓練系統(tǒng)在科學評估患者訓練成效方面存在的欠缺,本文開發(fā)了一款成本相對低廉、使用便捷、兼具康復訓練和評估功能的體感康復訓練系統(tǒng)。其次,對平臺的數(shù)據(jù)采集方法和過程進行了簡要描述。介紹了運動動作流匹配算法融合方法,通過對豪斯多夫距離算法和動態(tài)時間規(guī)整算法的介紹和分析,提出了一種基于兩種算法融合的動作流相似度評價方法,通過實驗的方法分別對算法的測算結(jié)果和可行性進行了驗證,并闡述了算法融合的方法。再次,由于運動康復評價方法最重要的過程在于對運動數(shù)據(jù)的分析,在總結(jié)了相關(guān)的實驗數(shù)據(jù)結(jié)果后,本文著重探究了經(jīng)典康復治療學中有關(guān)運動功能損傷患者的康復評定相關(guān)方法,并結(jié)合人體軸面坐標與體感骨骼空間坐標系的對應(yīng)關(guān)系,確定了平臺所涉及的關(guān)節(jié)訓練動作及其測量方法,依據(jù)關(guān)節(jié)活動度等參數(shù)指標制定了運動功能評價細則。最后,在分析了系統(tǒng)的功能期望和設(shè)計目標的基礎(chǔ)上,本文對系統(tǒng)平臺的功能進行了實驗驗證和結(jié)果分析,對系統(tǒng)各模塊的功能特別是運動評價相關(guān)模塊進行了測試。結(jié)果證明,本文所構(gòu)建的體感康復訓練平臺能夠達到評估患者訓練質(zhì)量和康復程度并輔助完成復健治療的目的。
[Abstract]:The patients with motor function impairment need to be able to evaluate the improvement of their body function quantitatively, so it is necessary to combine the rehabilitation training system with the method of professional rehabilitation evaluation. Kinect somatosensory equipment is selected as the carrier of human motion information sensing, and a training platform of somatosensory rehabilitation based on Kinect sensor is designed. The platform integrates the basic functions of motion data acquisition and rehabilitation evaluation. The typical rehabilitation training actions of the left and right limbs, shoulder and elbow joints are set in advance. The template movement flow data and the trainer action flow data are collected by the somatosensory device, and the data are adjusted by the algorithm logic. Dynamic time warping algorithm and Hausdorf distance measure algorithm are used to calculate and evaluate the similarity of the two groups of action flow data. This paper also applies the relevant kinematics evaluation methods in rehabilitation therapy to the evaluation of rehabilitation training results, and carries out relevant experiments to verify the feasibility of the algorithm and theory. The main work of this paper is as follows: first, This paper expounds the present situation of the development of rehabilitation training platform and the application of somatosensory technology in the field of rehabilitation medical treatment, aiming at the shortcomings of the existing auxiliary rehabilitation training system in scientifically evaluating the effectiveness of patient training. In this paper, a relatively low-cost, convenient, rehabilitation training system with rehabilitation training and evaluation function is developed. Secondly, This paper briefly describes the data acquisition method and process of the platform, introduces the fusion method of motion action flow matching algorithm, and introduces and analyzes the Hausdorf distance algorithm and dynamic time warping algorithm. An action flow similarity evaluation method based on the fusion of two algorithms is proposed. The calculation results and feasibility of the algorithm are verified by the experimental method, and the method of algorithm fusion is expounded. Because the most important process of sports rehabilitation evaluation is the analysis of exercise data, after summarizing the relevant experimental data, this paper focuses on the relevant methods of rehabilitation evaluation of motor function injury patients in classical rehabilitation therapy. Combined with the corresponding relationship between human axis coordinate and somatosensory skeletal coordinate system, the joint training action and its measuring method are determined, and the detailed rules of motion function evaluation are established according to the parameters such as joint motion. Based on the analysis of the function expectation and design goal of the system, the function of the system platform is verified and the results are analyzed. The function of each module, especially the motion evaluation module, is tested. The somatosensory rehabilitation training platform constructed in this paper can evaluate the training quality and rehabilitation degree of patients and assist to complete rehabilitation therapy.
【學位授予單位】：河北工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：R49;TP311.52

【參考文獻】

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本文編號：1576959