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研究生： 趙偉成
Chao, Wei-Cheng
論文名稱： 人體尺寸統計估計模式之建立與驗證–以台灣居民為例
Development and validation of a statistic model for estimating body dimensions–Taiwanese civilians as an example
指導教授： 王明揚
Wang, Min-yang
口試委員:
學位類別： 博士
Doctor
系所名稱： 工學院 - 工業工程與工程管理學系
Department of Industrial Engineering and Engineering Management
論文出版年： 2009
畢業學年度： 98
語文別： 英文
論文頁數： 80
中文關鍵詞： 人體計測 、人體尺寸比例常數 、人體尺寸估計式 、同身寸 、台灣
外文關鍵詞： Anthropometry, Anthropometric data, Constant body ratio benchmarks (CBR benchmarks), Estimation formula, Finger cun (F-cun)
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    • Anthropometric data is the foundation of ergonomic design for all products and environments. However, the procedures for collecting anthropometric data are tedious, complicated and costly in terms of labor, time and financial resources. It will be much cheaper if the old anthropometric data can be updated easily without lengthy measurement processes. However, most practitioners do not know how the old anthropometric data can be converted into applicable new data when updated data is unavailable. Therefore, it is important to develop methods that can easily update old data into new data with minimal error. A last, complete and large-scale anthropometric database was built in Taiwan in the late 1990s and published in 2002. In order to maximize the value of the Taiwanese anthropometric database, the statistical/mathematical estimating model developed in this study was used to analyze the available pairwise body dimension ratios (PBD ratios) and to find the constant body ratio benchmarks (CBR benchmarks) that are least affected by gender and age. This resulted in the identification of 483 unique CBR benchmarks, which were verified by calculating and processing 35,245 PBD ratios; meanwhile, quasi-CBR benchmarks that are least affected by either gender or age were also identified. Additionally, 197 estimation formulae with limited easily-measured 19 body dimensions were built using 483 CBR benchmarks. Further, this study recruited 30 participants as samplings and determined that this estimating model is more accuracy and cost-effective. To evaluate the practicability of this estimating model on separate body dimensions, the 12 finger cun-derived benchmarks (F-cun-derived benchmarks) were constructed by using this estimating model procedure and further validated by an experimental measurement. Accordingly, the statistical/mathematical estimating model, CBR benchmarks, 197 estimation formulae, and 12 F-cun-derived benchmarks make it possible to update anthropometric data quickly, accurately, and at low cost.

    CONTENTS 摘要 I ABSTRACT II 謝辭 III CONTENTS IV LIST OF FIGURES V LIST OF TABLES VI CHAPTER 1 INTRODUCTION 1 1.1 MOTIVATIONS 1 1.2 OBJECTIVES 2 1.3 ORGANIZATION 3 CHAPTER 2 LITERATURE REVIEW 6 2.1 ANTHROPOMETRY AND ITS DEVELOPMENTS 6 2.1.1 Anthropometric measurement 6 2.1.2 Anthropometric data 10 2.1.3 Human variability 13 2.1.4 Anthropometric development status 20 2.2 BODY DIMENSION ESTIMATING/FORECASTING METHODS 21 2.2.1 Body Proportions 22 2.2.2 Regression models 24 2.3 MEASURES OF ESTIMATING/FORECASTING ERRORS 25 2.4 TRADITIONAL ACUPUNCTURE POINT-LOCATION METHODS 28 2.5 SUMMARY 30 CHAPTER 3 MATERIALS AND THE STATISTICAL ESTIMATING MODEL 32 3.1 THE ANTHROPOMETRIC DATABASE 32 3.2 IN SEARCHING FOR CBR BENCHMARKS 33 3.2.1 Statistical modeling procedure for CBR benchmarks 33 3.2.2 Results 41 3.3 CONSTRUCTING AND VALIDATING BODY DIMENSION ESTIMATION 47 3.3.1 Constructing body dimension estimation 47 3.3.2 Validating body dimension estimation 50 3.3.3 Results 50 3.4 DISSCUSSIONS 57 3.5 SUMMARY 60 CHAPTER 4 VALIDATING THE STATISTICAL ESTIMATING MODEL WITH FINGER-CUN 61 4.1 ESTABLISHING AND VALIDATING F-CUN-DERIVED BENCHMARKS 61 4.1.1 Participants 61 4.1.2 Establishing F-cun-derived benchmarks 62 4.1.3 Validating F-cun-derived benchmarks 64 4.2 RESULTS 65 4.3 DISCUSSIONS 69 4.4 SUMMARY 69 CHAPTER 5 CONCLUSIONS AND RECOMMENDATION 71 5.1 CONCLUSIONS 71 5.2 FUTURE WORK 72 REFERENCES 74

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