A Suitable Design of Assist System for Human Meal by Reducing Maneuverability Variance in Workspace

2016 ◽  
Vol 28 (6) ◽  
pp. 781-789 ◽  
Author(s):  
Kiyotaka Fukui ◽  
◽  
Katsuyoshi Tsujita ◽  
Keyword(s):  
Motion Capture ◽  
Support System ◽  
Human Body ◽  
Inverse Kinematics ◽  
Body Movement ◽  
Motion Capture Data ◽  
Freedom Of Movement ◽  
Internal Motions

[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.

scholarly journals Improving the inverse kinematics reconstruction of human movement from motion capture data

PAMM ◽  
2010 ◽  
Vol 10 (1) ◽  
pp. 93-94
Author(s):  
Christian Simonidis ◽  
Wolfgang Seemann
Keyword(s):  
Motion Capture ◽  
Inverse Kinematics ◽  
Human Movement ◽  
Motion Capture Data

Physical constitution adjustment for a human body model used in motion capture data analysis

2016 ◽  
Vol 11 ◽  
pp. S140-S141
Author(s):  
Takeshi Miura ◽  
Takaaki Kaiga ◽  
Takeshi Shibata ◽  
Katsubumi Tajima ◽  
Hideo Tamamoto
Keyword(s):  
Data Analysis ◽  
Motion Capture ◽  
Human Body ◽  
Motion Capture Data ◽  
Human Body Model ◽  
Body Model ◽  
Physical Constitution

scholarly journals Decomposing spontaneous sign language into elementary movements: A principal component analysis-based approach

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0259464
Author(s):  
Félix Bigand ◽  
Elise Prigent ◽  
Bastien Berret ◽  
Annelies Braffort
Keyword(s):  
Principal Component Analysis ◽  
Sign Language ◽  
Motion Capture ◽  
Computational Models ◽  
Body Movement ◽  
Principal Component ◽  
Component Analysis ◽  
Body Motion ◽  
Upper Body ◽  
Motion Capture Data

Sign Language (SL) is a continuous and complex stream of multiple body movement features. That raises the challenging issue of providing efficient computational models for the description and analysis of these movements. In the present paper, we used Principal Component Analysis (PCA) to decompose SL motion into elementary movements called principal movements (PMs). PCA was applied to the upper-body motion capture data of six different signers freely producing discourses in French Sign Language. Common PMs were extracted from the whole dataset containing all signers, while individual PMs were extracted separately from the data of individual signers. This study provides three main findings: (1) although the data were not synchronized in time across signers and discourses, the first eight common PMs contained 94.6% of the variance of the movements; (2) the number of PMs that represented 94.6% of the variance was nearly the same for individual as for common PMs; (3) the PM subspaces were highly similar across signers. These results suggest that upper-body motion in unconstrained continuous SL discourses can be described through the dynamic combination of a reduced number of elementary movements. This opens up promising perspectives toward providing efficient automatic SL processing tools based on heavy mocap datasets, in particular for automatic recognition and generation.

A generic method of wearable items virtual try-on

2020 ◽  
Vol 90 (19-20) ◽  
pp. 2161-2174
Author(s):  
Pengpeng Hu ◽  
Nastaran Nourbakhsh ◽  
Jing Tian ◽  
Stephan Sturges ◽  
Vasile Dadarlat ◽  
...  
Keyword(s):  
Motion Capture ◽  
Human Body ◽  
The Body ◽  
Motion Capture Data ◽  
Automatic Method ◽  
Human Body Model ◽  
Body Model ◽  
Fully Automatic ◽  
Reference Body ◽  
General Method

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.

scholarly journals 8B46 4D human body posture estimation based on whole-body motion capture data

2012 ◽  
Vol 2012.24 (0) ◽  
pp. 8B46
Author(s):  
Naoya YOSHIKAWA ◽  
Yasuyuki SUZUKI ◽  
Wataru OZAKI ◽  
Tomohisa YAMAMOTO ◽  
Taishin NOMURA
Keyword(s):  
Motion Capture ◽  
Human Body ◽  
Body Posture ◽  
Body Motion ◽  
Whole Body ◽  
Motion Capture Data ◽  
Posture Estimation

Correlational Methods for Analysis of Dance Movements

2011 ◽  
Vol 29 (supplement) ◽  
pp. 283-304 ◽  
Author(s):  
Timothy R. Brick ◽  
Steven M. Boker
Keyword(s):  
Motion Capture ◽  
Mirror Symmetry ◽  
Cross Correlation ◽  
The Other ◽  
Free Form ◽  
Motion Capture Data ◽  
Complex Interactions ◽  
Dance Movements ◽  
Time Lagged ◽  
Insight Into

Among the qualities that distinguish dance from other types of human behavior and interaction are the creation and breaking of synchrony and symmetry. The combination of symmetry and synchrony can provide complex interactions. For example, two dancers might make very different movements, slowing each time the other sped up: a mirror symmetry of velocity. Examining patterns of synchrony and symmetry can provide insight into both the artistic nature of the dance, and the nature of the perceptions and responses of the dancers. However, such complex symmetries are often difficult to quantify. This paper presents three methods – Generalized Local Linear Approximation, Time-lagged Autocorrelation, and Windowed Cross-correlation – for the exploration of symmetry and synchrony in motion-capture data as is it applied to dance and illustrate these with examples from a study of free-form dance. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.

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