TY - JOUR T1 - Hierarchical Analysis Method and Model Based Data of Controlling Parts of the Body for Clothing AU - Xiaomei Shang, Xiaoyu Xing & Peipei Gao JO - Journal of Fiber Bioengineering and Informatics VL - 4 SP - 479 EP - 494 PY - 2014 DA - 2014/07 SN - 7 DO - http://doi.org/10.3993/jfbi12201402 UR - https://global-sci.org/intro/article_detail/jfbi/4803.html KW - Body Measurement for Garments KW - Manual Measurement KW - The Degree of Measurement Difficulty KW - Data Statistics KW - Hierarchy Analysis AB - In order to study the accuracy of human measurement data more systematically, the analytic hierarchy model was established to evaluate the degree of measurement difficulty. Based on the manual measurement experiment, we extracted and analyzed the data from different angles, such as the proficiency of work, parts of human body, error correcting frequency and single factor. The three factors, difficulty of recognizing the defined points, dimension of the moving points and measuring path, are used as the standard of criterion level. The results showed that the structure of the body's parts of is the key to producing the measurement difficulty and the difficulty of recognizing the defined points is the most. Besides, shoulder width is the most difficult part to measure and the chest circumference is the least.

Xiaomei Shang, Xiaoyu Xing and Peipei Gao. (2014). Hierarchical Analysis Method and Model Based Data of Controlling Parts of the Body for Clothing. Journal of Fiber Bioengineering and Informatics. 7 (4). 479-494. doi:10.3993/jfbi12201402