以Kinect為基礎之步態及姿態測量系統

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：26

、訪客IP：3.129.253.65

姓名

林晟弘(Sheng-Hung Lin) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

以Kinect為基礎之步態及姿態測量系統
(A Kinect-based Gait and Posture Assessment System)

相關論文

★ 以Q-學習法為基礎之群體智慧演算法及其應用	★ 發展遲緩兒童之復健系統研製
★ 從認知風格角度比較教師評量與同儕互評之差異：從英語寫作到遊戲製作	★ 基於檢驗數值的糖尿病腎病變預測模型
★ 模糊類神經網路為架構之遙測影像分類器設計	★ 複合式群聚演算法
★ 身心障礙者輔具之研製	★ 指紋分類器之研究
★ 背光影像補償及色彩減量之研究	★ 類神經網路於營利事業所得稅選案之應用
★ 一個新的線上學習系統及其於稅務選案上之應用	★ 人眼追蹤系統及其於人機介面之應用
★ 結合群體智慧與自我組織映射圖的資料視覺化研究	★ 追瞳系統之研發於身障者之人機介面應用
★ 以類免疫系統為基礎之線上學習類神經模糊系統及其應用	★ 基因演算法於語音聲紋解攪拌之應用

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

在台灣，當病患來到復健診所診治時，醫生或復健師都會對病患進行評估，目的是了解病患目前的狀況，進而訂定有效的治療計畫。大部分的復健專家通常採用一些步態和姿勢的評估表單，然後藉由視覺評估的方式，來判斷一個人是否具有良好的行走步態或站立姿勢。事實上，要能夠徹底並精確地執行步態和姿勢評估，需要許多專業上的知識和技巧。視覺評估的優點是簡單、不需要昂貴的設備，但同時它的缺點是不精確的、主觀的、和低效率等。因此，復健專家在每個病患的評估上，可能會遭遇到：在每次復健治療後無法得到客觀且一致性的評估結果之問題，導致復健專家無法制訂出良好的治療計劃來幫助患者從治療計劃中迅速復元並早日恢復正常的日常生活。
因此，我們需要一個電腦化的步態和姿態評估系統來為病人進行客觀的輔助評估。一個好的電腦化評估系統應該要能夠提供整個量測過程的歷史紀錄和準確的測量結果，當然，較低成本的電腦化評估系統能夠讓一般診間更願意採用且易普及化，這促使我們開發以Kinect為基礎的步態和姿態評估系統。

基於不同的評估需求，本論文提出兩套子系統，其中包含 (1)步態測量子系統 (2)姿態測量子系統以及 (3)關節活動度測量子系統。我們充分利用了微軟Kinect的感測平台其能夠提供全身骨架追蹤及低成本等優點。由於Kinect在骨架關節點的追蹤上仍然有些不準確的誤差，我們提出了一些特別的演算法來處理這些誤差，並提供在步態、姿態和關節活動度的測量上更精確的量測數據，我們也提出了一些實驗設計來驗證測試我們所設計的系統，系統的準確性的表現則是與傳統臨床上的手動量測作為比較。

摘要(英)

In Taiwan, when a patient is admitted at a rehabilitation clinic, he or she will be assessed by rehabilitation specialists to devise an appropriate treatment program. Most of the rehabilitation professionals usually adopt the visual assessment incorporated with some gait and posture charts to assess whether one has good gaits or postures while one is walking or standing still. In fact, the ability to perform a gait and posture evaluation accurately and thoroughly requires many skills on the part of rehabilitation professionals. While the advantages of the visual assessment are its simplicity and no need of expensive equipment, its disadvantages are imprecise, subjective, inefficient, etc. Therefore, rehabilitation specialists encounter the problem of being unable to objectively assess the treatment effect after each individual course of treatment. Owing to this problem, it is difficult for rehabilitation specialists to modify their treatment programs to help patients quickly recover from treatment programs and back to normal daily life.
Therefore, a computerized gait and posture assessment system is needed. A good computerized gait and posture assessment system should be able to provide precise measurements about gaits and postures and output documents of the treatment and progress history. Of course, if the cost of the assessment system is low enough, then more rehabilitation clinics will be willing to adopt the system for their treatments. This motivated us to develop a Kinect-based gait and posture assessment system. The assessment system consists of three sub-systems: (1) the gait assessment sub-system, (2) the posture assessment sub-system and (3) the range of joint motion assessment sub-system. We fully utilize the advantages of the Microsoft Kinect which is a viable and low-cost sensing platform capable to provide full-body and limb tracking. Since the Kinect is still subject to inaccurate tracking and skeleton placement, some special algorithms have to be developed to provide precise measurements about gaits, postures, and range of motion for several critical joints. Several experiments are designed to test the proposed assessment system. The performance of the system is compared with manual measurements performed by rehabilitation specialists.

關鍵字(中)

★ 物理治療
★ 評估表
★ 關節活動度
★ 姿態測量
★ 步態測量
★ Kinect

關鍵字(英)

★ Physical therapy
★ Evaluation form
★ Range of joint motion
★ Posture Assessment
★ Gait Assessment
★ Kinect

論文目次

目錄
摘要 I
ABSTRACT III
誌謝 V
圖目錄 VIII
表目錄 X
第一章、緒論 1
1-1 研究動機 1
1-2 研究目的 3
1-3 論文架構 5
第二章、相關研究 6
2-1 步態測量子系統 6
2-2 姿態測量子系統 8
2-3 關節活動度測量子系統 10
第三章、步態測量子系統 13
3-1 硬體介紹 14
3-2 軟體介紹 17
3-2-1追蹤系統介面 17
3-2-2資料分析界面 19
第四章、姿態測量子系統 21
4-1 系統架構 21
4-2 軟體介紹 23
4-2-1臉部追蹤系統 23
4-2-2骨架追蹤系統 24
4-2-3色球追蹤系統 24
第五章、關節活動度測量子系統 33
5-1 系統架構 33
5-2 軟體介紹 34
5-2-1臉部測量模組 34
5-2-2色球測量模組 36
第六章、實驗設計與結果 39
6-1 步態測量子系統 39
6-1-1步態測量子系統Pelvis Walking Bias實驗內容與結果 39
6-2 姿態測量子系統 42
6-2-1姿態測量子系統精確度實驗內容與結果 42
6-2-2姿態測量子系統與傳統量測比較之實驗內容與結果 48
6-2-3姿態測量系統臨床模擬比較之實驗內容與結果 50
6-3 關節活動度測量子系統 54
6-3-1圓心估算精確度實驗內容與結果 54
6-3-2關節活動度與傳統量測比較之實驗內容與結果 59
第七章、結論與未來展望 66
7-1 結論 66
7-2 未來展望 67

參考文獻

[1] 國家發展委員會. [Online] Available: http://www.ndc.gov.tw/Content_List.aspx?n=84223C65B6F94D72.
[2] 衛生福利部統計處. [Online] Available: http://www.mohw.gov.tw/cht/DOS/Statistic.aspx?f_list_no=312&fod_list_no=4695.
[3] 陳輝宇，「長期照護體系中社區式與居家式復健服務的輸送」，vol. 8, pp. 1–12, 2010.
[4] S. Lord, A. Godfrey, B. Galna, D. Burn, and L. Rochester, “ Patterns of daily ambulatory activity are different in early Parkinson’s disease compared with controls.” in Proceedings of the 16th international congress of Parkinson’s disease and movement disorders, vol. 1, pp. 1565, 2012.
[5] L. E. Cain, L. L Nicholson, and R. D. Adams, and J. Burns, “Foot morphology and foot/ankle injury in indoor football,” in J Sci Med Sport, vol. 10, pp. 311-319, 2007.
[6] B. Yates, and S. White, “The incidence and risk factors in the development of medial tibial stress syndrome among naval recruits, ” in Am J Sports Med, vol. 32, pp. 772-780, 2004.
[7] C. M. Powers, R. Maffucci, and S. Hampton, “Rearfoot posture in subjects with patellofemoral pain, ” in J Orthop Sports Phys Ther, vol. 22, pp. 155-160, 1995.
[8] D. N. Cowan, B. H. Jones, and J. R. Robinson, “Foot morphologic characteristics and risk of exercise-related injury, ” in Arch Fam Med vol. 2, pp. 773-777, 1993.
[9] C. Goetz, B. Tilley, S. Shaftman, G. Stebbins, S. Fahn and P. Martinez-Martin, et al, “Movement disorder society-sponsored revision of the unified Parkinson’s disease rating scale (MDS-UPDRS): scale presentation and clinimetric testing results,” in Movement Disorders, vol. 22, no. 21, pp. 29-70, 2008.
[10] F. A. Kondori, S. Yousefi, L. Haibo, S. Sonning, and S. Sonning, “3D head pose estimation using the Kinect.” in Proceedings of the international conference on wireless communications and signal processing, pp. 1-4, 2011.
[11] M. P. Kadaba, H. K. Ramakrishnan, and M. E. Wootten, “Measurement of lower extremity kinematics during levctions on communications VOL. 41, NO. 6, June 1993.
[10] S. Haykin, Adaptive Filter Theory, fourth ed., Prentice Hall, New Jersey, 2002
[11] M. T. Shiue and S. S. Long, “A Blind Frequency-Domain Equalization Algorithm for OFDM/DMT Systems Based on AGC and Carrier Recovery”, ITC-CSCC, July 2005.
[12] C. F. Wu, M. T. Shiue and C. K. Wang, “Joint Carrier Synchronization and Equalization for Packet-Based OFDM Systems in Multipath Fading Channel”, IEEE Transactions on Vehicular Technology. vol. 59, no. 1, pp. 248-260, Jan 2010.
[13] R. E. Best, Phase-Locked Loops, third ed., McGraw-Hill, 1997
[14] S. Moridi and H. Sari, “Analysis of Four Decision-Feedback Carrier Recovery Loops in the Presence of Intersymbol Interference”, IEEE Transactions of Wireless
[15] M. Hsieh, C.Wei, “Channel estimation for OFDM systems based on comb-type pilot arrangement in frequency selective fading channels,” IEEE Transactions on ConsumerElectron., vol. 44, no. 1, Feb. 1998
[16] Pei-Yun Tsai, Tzi-Dar Chiueh, “Frequency-Domain Interpolation-Based Channel Estimation in Pilot-Aided OFDM Systems”, IEEE Vehicular Technology Conference, May 2004
[17] K. Itoh. Analysis of the phase unwrapping problem. Applied Optics, 21(14), 1982.
[18] 陳右昀,“應用於PLC系統之AGC-CR通道等化技術”,中央大學 ,電機工程學系碩士論文 ,2008.
[19] 陳彥,“基於IEEE P1901規格之PLC系統基頻內接收機設計”,中央大學 ,電機工程學系碩士論文 ,2013.
[20] Hall E.L., Lynch D.D., Dwyer S.J., “Generation of Products and Quotients Using Approximate Binary Logarithms for Digital Filtering Applications” in T-C. 1970., Feb. 1970.
[21] Byeong-Gyu Nam, “A low-power vector processor using logarithmic arithmetic for handheld 3d graphics systems” in ESSCIRC.2007., Munich, European, Sept. 2007.
[22] Neil H.E. Weste, Kamran Eshraghian, “Principles of CMOS VLSI Design: A Systems Prespective,”Addison Wesley,1994.
[23] H.-J. Kim and B.-G. Nam, “A 231-MHz, 2.18-mW 32-bit Logarithmic Arithmetic Unit for Fixed-Point 3-D Graphics System” In IEEE JOURNAL OF SOLID-STATE CIRCUITS, VOL. 41, NO. 11, NOVEMBER 2006
[24] M. Zimmermann, K. Dostert, “A Multipath Model for the Powerline Channel”, IEEE Transactions on Communications, vol. 50, no. 4, Apr. 2002

指導教授

蘇木春(Mu-Chun Su)

審核日期

2015-7-28

推文