By Zhiqing Cheng, Kathleen Robinette (auth.), Vincent G. Duffy (eds.)
This booklet constitutes the refereed complaints of the second one foreign convention on electronic Human Modeling, ICDHM 2009, held in San Diego, CA, united states in July 2009.
The eighty revised papers provided have been rigorously reviewed and chosen from various submissions. The papers authorized for presentation completely conceal the thematic quarter of face, head and physique modeling, modeling movement, modeling habit, emotion and cognition, human modeling in delivery functions, human modeling purposes in future health and rehabilitation, ergonomic and business functions, and advances in electronic human modeling.
Read or Download Digital Human Modeling: Second International Conference, ICDHM 2009, Held as Part of HCI International 2009, San Diego, CA, USA, July 19-24, 2009. Proceedings PDF
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Additional info for Digital Human Modeling: Second International Conference, ICDHM 2009, Held as Part of HCI International 2009, San Diego, CA, USA, July 19-24, 2009. Proceedings
9] have used cluster analysis for adjusting the sizes of virtual mannequin using anthropometry data. G. ): Digital Human Modeling, HCII 2009, LNCS 5620, pp. 29–35, 2009. © Springer-Verlag Berlin Heidelberg 2009 30 A. Godil Facial respirators are used by millions of people around the world to reduce their risk to diseases, harmful and hazardous airborne agents. At the heart of the effectiveness is the seal of the respirator which mainly depends on the fit, which prevents harmful gases and particulates from enter into the wearer’s respiratory system.
The sample was a convenience one as the questionnaire was distributed to teachers, classmates, friends and relatives over the first 3 months of 2008. SPSS and Excel were used to process and analyze the data collected. Besides using descriptive statistics and frequency distributions to describe the sample population, cluster analysis were used to break it into smaller more homogenous groups. 4 Results and Findings The following section presents some of our findings on women’s purchases and perception of 3D body scanning technology.
In order to perform gender classification experiments, the program needs to preprocess original facial images. The preprocessing step is described below. For grayscale images, extracted sub-images are converted into grayscale images and normalized using histogram equalization to minimize the effect of illumination. Next, sobel edge images and LUT-based images are made and converted in the gray level. Figure 5 shows male and female grayscale sub-images and the sub-images for sobel edge detected images and LUT-based images.