Integration of Motion Capture Data Acquisition with Multibody Dynamic Simulation Software for Nordic Walking Gait Analysys

2019 ◽  
pp. 510-517 ◽  
Author(s):  
A. Muraszkowski ◽  
J. Szrek ◽  
S. Wudarczyk ◽  
J. Bałchanowski ◽  
R. Jasiński ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Dynamic Simulation ◽  
Motion Capture ◽  
Simulation Software ◽  
Motion Capture Data ◽  
Nordic Walking ◽  
Walking Gait ◽  
Multibody Dynamic

scholarly journals Pose and motion capture technologies

2021 ◽  
Vol 342 ◽  
pp. 05004
Author(s):  
Arun Fabian Panaite ◽  
Sebastian Rosca ◽  
Remus Sibişanu
Keyword(s):  
Data Acquisition ◽  
Motion Capture ◽  
Motion Capture Data ◽  
Compression Algorithms ◽  
Data Acquisition Systems ◽  
Mathematical Formulas ◽  
Programming Process

The multitude of sensors, transducers and data acquisition systems used in the ever-increasing domains of today’s industry, were designed and created on a purpose-based agenda. Most of these technologies were rarely used for different purposes then the ones they were meant for. This research, explores the possibility of using those technologies for the purpose of motion capture. The results of the motion capture data acquisition can further be used for other purposes, itself. Because the motion capture data isn’t calculated, but only captured, the compression algorithms may result in mathematical formulas of motion, which can be the same formulas of calculating the motion synthetically. The same way the parameters and formulas are being calculated for a robot’s movement, motion can be captured, and the key position parameters can be selected, and implemented on the movement, while not only making the movement more natural, but saves time during the programming process.

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.

Perceptually motivated LSPIHT for motion capture data compression

2015 ◽  
Vol 51 ◽  
pp. 1-7 ◽  
Author(s):  
Irene Cheng ◽  
Amirhossein Firouzmanesh ◽  
Anup Basu
Keyword(s):  
Data Compression ◽  
Motion Capture ◽  
Motion Capture Data

Keyframe Extraction for Human Motion Capture Data Based on Joint Kernel Sparse Representation

2017 ◽  
Vol 64 (2) ◽  
pp. 1589-1599 ◽  
Author(s):  
Guiyu Xia ◽  
Huaijiang Sun ◽  
Xiaoqing Niu ◽  
Guoqing Zhang ◽  
Lei Feng
Keyword(s):  
Sparse Representation ◽  
Motion Capture ◽  
Human Motion ◽  
Motion Capture Data ◽  
Human Motion Capture ◽  
Keyframe Extraction
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