Estimating human body segment parameters using motion capture data

Author(s):  
Jianjun Zhao ◽  
Yi Wei ◽  
Shihong Xia ◽  
Zhaoqi Wang
2016 ◽  
Vol 11 ◽  
pp. S140-S141
Author(s):  
Takeshi Miura ◽  
Takaaki Kaiga ◽  
Takeshi Shibata ◽  
Katsubumi Tajima ◽  
Hideo Tamamoto

2016 ◽  
Vol 28 (6) ◽  
pp. 781-789 ◽  
Author(s):  
Kiyotaka Fukui ◽  
◽  
Katsuyoshi Tsujita ◽  

[abstFig src='/00280006/01.jpg' width='300' text='A suitable design for the assist system for human meal' ] Some persons require assistance with their movements during meals. A support system for such persons would be invaluable. However, in designing such a system, crucial challenges such as freedom of movement arrangement and maneuverability of the system without disturbing human body movement have to be overcome. In this study, we extracted the major modes of human meal movement from meal movement motion-capture data and derived a suitable and feasible arrangement that reduces maneuverability variance in the workspace via iterative calculations based on inverse kinematics. The results of analyses indicate that the shoulder’s extension/flection and external/internal motions and the elbow’s extension/flection are suitable arrangements that give the freedom to equalize maneuverability in the workspace.


1994 ◽  
Vol 18 (2) ◽  
pp. 126-140 ◽  
Author(s):  
David J. Pearsall ◽  
J. Gavin Reid

2020 ◽  
Vol 90 (19-20) ◽  
pp. 2161-2174
Author(s):  
Pengpeng Hu ◽  
Nastaran Nourbakhsh ◽  
Jing Tian ◽  
Stephan Sturges ◽  
Vasile Dadarlat ◽  
...  

Virtual try-on synthesizes garments for the target bodies in 2D/3D domains. Even though existing virtual try-on methods focus on redressing garments, the virtual try-on hair, shoes and wearable accessories are still under-reached. In this paper, we present the first general method for virtual try-ons that is fully automatic and suitable for many items including garments, hair, shoes, watches, necklaces, hats, and so on. Starting with the pre-defined wearable items on a reference human body model, an automatic method is proposed to deform the reference body mesh to fit a target body for obtaining dense triangle correspondences. Then, an improved fit metric is used to represent the interaction between wearable items and the body. For the next step, with the help of triangle correspondences and the fit metric, the wearable items can be fast and efficiently inferred by the shape and posture of the targeted body. Extensive experimental results show that, besides automation and efficiency, the proposed method can be easily extended to implement the dynamic try-on by applying rigging and importing motion capture data, being able to handle both tight and loose garments, and even multi-layer clothing.


Author(s):  
Naoya YOSHIKAWA ◽  
Yasuyuki SUZUKI ◽  
Wataru OZAKI ◽  
Tomohisa YAMAMOTO ◽  
Taishin NOMURA

Author(s):  
Aaron J. Gannon ◽  
William F. Moroney ◽  
David W. Biers

The inherent proportionality of the human body has been accepted since ancient times. Moreover, it has been assumed that anthropometric dimensions could be validly predicted by ratios or multipliers of another dimension (usually stature). Stature-based anthropometric multipliers from Drillis and Contini's (1966) Body Segment Parameters have been frequently referenced, even though their study focused on body segment mass properties rather than anthropometric dimension prediction. Using the electronic data from the U.S. Army 1987-1988 anthropometric survey (Gordon et al., 1989), we explored the prediction validity of stature-based anthropometric multipliers, and investigated the potential for improved validity by correcting multipliers for gender and race. This paper discusses selected findings for one (i.e. acromial height) of the ten anthropometric dimensions we studied within the white male demographic group, and compares these representative findings with selected results from the other anthropometric dimensions studied. Overall, practitioners should exercise caution when using anthropometric multipliers to predict, as these multipliers are subject to problems in predicting individual anthropometric variations and their predictions are susceptible to systematic percentile-placement errors. Although caution is required when employing stature-based multipliers, the most valid predictions result from using stature-based multipliers that are corrected for gender and racial demographic variables.


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