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數位影像腳形、腳壓量測系統之開發

王智寰; Wang, Chih-huan 張仲卿; Chong-Ching Chang; 系統工程研究所 2007

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  • 題名:
    數位影像腳形、腳壓量測系統之開發
  • 著者: 王智寰; Wang, Chih-huan
  • 張仲卿; Chong-Ching Chang; 系統工程研究所
  • 主題: 倒傳遞類神經網路; 足弓; 高解析度; 低成本; 腳底壓力; 量測系統; plantar pressure; measuring system; arch; low-co
  • 描述: 腳底壓力的分佈是很多臨床醫生和學術研究者非常想探討的問題，但是目前市面上的足壓量測系統價格過於昂貴，並無法普遍地讓一般大眾擁有及使用。另外，在過去的文獻上所提及的腳底壓力量測系統，其壓力點的解析度都過低，並無法量測出腳底壓力分佈的完整資料。 因此，本論文將開發出一套數位影像腳形、腳壓量測系統，先根據虎克彈簧定理取得重量再利用高解析度之掃描系統擷取腳底之影像，然後經過自行撰寫影像處理程式，快速的計算出個人腳底各部之面積及壓力，再根據所計算出來的腳底各部的面積比例來分類出個人足弓的類型。最後建構出系統的倒傳遞類神經網路模型(back propagation neural network model)，由離散的灰階值來反推算出類比壓力量，以期提供兼具定性與定量的資料。 本論文的研究成果是開發出一台低成本且高解析度的腳底壓力量測系統。並且可以讓一般大眾容易擁有及使用，來達到“預防勝於治療”的實質幫助。
    The distribution of plantar pressure is an interested topic for many clinicians and researchers of biomechanics. These commercial plantar pressures measuring system of now are expensive. In addition, the existing plantar pressures acquisition systems also have the problem of low resolutions. Considering the cost and resolution, this research has developed a system to combines the optical theory and the digital image processing techniques which can measure the foot shape and the plantar pressure. It can get the foot image by high-resolution scanning system, measure the length and width of foot, and calculate the bearing foot pressure of each part. And according to the calculated proportion of the foot area of each part, the types of arches can then be classified. Finally, a back propagation neural network model is constructed to infer back the analog pressure distribution from the discrete gray level information of the contacted surface. This pressure distribution provides quantitative and qualitative information for clinical applications. In summary, this thesis has developed a low-cost and high-resolution plantar pressure measuring system. Then, this system can be commercialized to meet the clinical requirements to aid patients and the general people.
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  • 建立日期: 2007
  • 格式: 121 bytes
    text/html
  • 語言: 中文
  • 識別號: http://nutnr.lib.nutn.edu.tw/handle/987654321/3554
  • 資源來源: NUTN IR
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