scholarly journals A General Framework to Generate Sizing Systems from 3D Motion Data Applied to Face Mask Design

Author(s):  
Timo Bolkart ◽  
Prosenjit Bose ◽  
Chang Shu ◽  
Stefanie Wuhrer
Author(s):  
B. T. Balamurali ◽  
Tan Enyi ◽  
Christopher Johann Clarke ◽  
Sim Yuh Harn ◽  
Jer-Ming Chen

2017 ◽  
Vol 79 (3) ◽  
Author(s):  
Mohamad Asyraf Azman ◽  
Shahrul Anuwar Mohamed Yusof ◽  
Imran Abdullah ◽  
Irfan Mohamad ◽  
Javeed Shaikh Mohammed

Hajj is the largest annual gathering of Muslims during which time over two million people from different parts of the world are gathered within a small area, leading to very high risks of acute respiratory infections (ARI) for the pilgrims. Therefore, preventive measures and controls should be implemented, including the implementation of non-pharmaceutical prevention methods such as the use of appropriate face masks, hand hygiene, respiratory etiquette, social distancing, and quarantine. A pilot study was conducted in 2013 to identify the types of face masks used by Malaysian Umrah pilgrims as well as to identify the problems pertaining to the face masks being used and to understand the factors influencing the selection of face masks by Malaysian pilgrims. Observations and survey methods were used in the pilot study. Data was collected from thirty respondents through a survey. This paper presents the results of the pilot study. Based on the knowledge of factors influencing face mask usage and selection from the pilot study, new face mask design(s) will be proposed for the Malaysian pilgrims. It is anticipated that the use of new face mask design(s) can reduce the risk of acute respiratory infections in Hajj and Umrah pilgrims.  


2019 ◽  
Vol 64 (7) ◽  
pp. 793-800
Author(s):  
Davide Signori ◽  
Giacomo Bellani ◽  
Serena Calcinati ◽  
Alice Grassi ◽  
Nicolò Patroniti ◽  
...  

2014 ◽  
Vol 599-601 ◽  
pp. 1566-1570
Author(s):  
Ming Zeng ◽  
Hong Lin Ren ◽  
Qing Hao Meng ◽  
Chang Wei Chen ◽  
Shu Gen Ma

In this paper, an effective motion comparison method based on segmented multi-joint line graphs combined with the SIFT feature matching method is proposed. Firstly, the multi-joint 3D motion data are captured using the Kinect. Secondly, 3D motion data are normalized and distortion data are removed. Therefore, a 2D line graph can be obtained. Next, SIFT features of the 2D motion line graph are extracted. Finally, the line graphs are divided into several regions and then the comparison results can be calculated based on SIFT matching ratios between the tutor’s local line graph and the trainee’s local line graph. The experimental results show that the proposed method not only can easily deal with the several challenge problems in motion analysis, e.g., the problem of different rhythm of motions, the problem of a large amount of data, but also can provide detailed error correction cues.


2011 ◽  
Vol 52-54 ◽  
pp. 556-561
Author(s):  
Hao Jiang ◽  
Jie Xu ◽  
Zhuo Chen

Laplacian eigenmap is used for motion dimension reduction. Eight Kinds of artificially typical 2D motion data are made as input of Laplacian eigenmap, and meaningful conclusions are obtained, which can be easily extended to complex data analysis in real applications. Advanced motion analysis methods have also been discussed briefly, such as 3D motion analysis, view independent motion analysis, pose representation and estimation as well as structural video analysis.


Author(s):  
Sajid Ali ◽  
Zhongke Wu ◽  
Mingquan Zhou ◽  
Muhammad Aslam Asadi ◽  
Hafeez Ahmed

2007 ◽  
Vol 26 (1) ◽  
pp. 1 ◽  
Author(s):  
Alexander Hornung ◽  
Ellen Dekkers ◽  
Leif Kobbelt

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