英文摘要 |
The purpose of this research is to build a series of typical manikins of indigenous workers’ cranioface for the design, assessment and inspection of various personal protective devices, such as helmet, goggle and respiratory apparatus. The research plans to sample 1100 workers randomly using a 2.5D photoelectric scanning system to take 3D surface plot. The surface plots of all the subjects will be classified into several groups (e.g. 2~6 groups) according to their facial lengths and widths. For each group a typical representative subject will be selected. The selection process is based on local difference, individual difference and global difference. These differences are the comparison of 6 horizontal and 3 vertical contours extracted from the surface plots. Local difference is the comparison of the correspondent contours of a pair of subject. For each pair of subjects, the differences of 9 contours must be computed and the sum is call individual difference, which is a measure of the degree of difference between the subject pair. Within a group, each subject must be compared with the rest of subjects, the sum of all the individual differences is called global difference, which is a measure of the difference of a subject relative to the whole group. Within the group, the subject with the smallest difference will be selected as typical representative for the group. Upon the completion of the selection process, the 3D surface plots of the representatives will be fed into C.N.C. machine, and a series of craniofacial manikins will be tooled. The manikins can be used for the design, inspection and assessment of various protective devices. |