![]() The research is crucial for awareness and ergonomics CTS prevention planning for designers. Further study on CTS severity symptoms and functional scale assessment using Boston Carpal Tunnel Questionnaire (BCTQ) suggested for future research for this study. Graphic designers (OR: 2.04, 95% CI: 1.05-53.98) and working more than 6 hours for side jobs in a week (OR: 2.74, 95% CI 1.16-6.49) were found highly associated with risks of CTS in this study. The study showed that 20% of studied professional computer users had a symptom related to CTS. The respondents background were from graphics design, multimedia, industrial, automotive, interior, Computer Aided Design (CAD) designers, architects and design engineers. A total of 225 questionnaires distributed and Phalen’s test were conducted to determine CTS prevalence. In this paper, questionnaires related to ergonomics risk factors were used. The objective of this research is to evaluate the prevalence and risk factors of CTS among designers using a cross-sectional study. Di artikel kali ini kita akan belajar cara mengubah gambar 3D menjadi gambar 2D di AutoCAD. The model can fit the probability density distribution of the parts to predict the optimal element placement and element color under the target conditions.Ĭarpal Tunnel Syndrome (CTS) is a significant occupational disease among intense computer users such as designers and other professionals. ![]() This paper proposes a feature representation form oriented to pixels, elements, interelement relationships, planes, and applications and quantifies the geometric features, perceptual features, and stylistic features in them. This paper proposes a data-driven augmented reality labeling method, which first presents the design requirements for augmented reality scene labeling placement, then designs the energy function for augmented reality scene characteristics, transforms the labeling placement problem into an optimization problem, and solves it. This database is different from other label placement algorithms that only use data-driven saliency detection. A new feature map, Guidance Map, is proposed to combine image saliency information with semantic information in the task scenario, accurately describing the importance of different regions in the user’s field of view to derive a more reasonable label placement strategy. The semantic information of image interaction is integrated into the framework of the augmented reality label placement algorithm. This article constructs and studies a graphic design software model based on data-driven image interactions.
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