Study on Feature Extraction Methods Based on Motion Capture Data

2014 ◽  
Vol 926-930 ◽  
pp. 2114-2117
Author(s):  
Yong Dan Nie ◽  
Yan Zhang ◽  
Xian Mei Liu
Keyword(s):  
Feature Extraction ◽  
Motion Capture ◽  
Extraction Method ◽  
Data Retrieval ◽  
Extraction Methods ◽  
Motion Capture Data ◽  
Motion Feature ◽  
Feature Extraction Method ◽  
Motion Data ◽  
Analysis Of Motion

By the analysis of motion Geometric features and Continuing feature that the motion capture data of the BVH format showed,Motion feature extraction method was proposed in this paper to preserve the motion original features in the maximum extent and marked motion data,improved the speed of motion data retrieval,and also provided a new method for rendering of motion characters in the virtual environment.

scholarly journals Robotic Leg Design to Analysis the Human Leg Swing from Motion Capture

2017 ◽  
Vol 6 (3) ◽  
pp. 256-264 ◽  
Author(s):  
Riky Tri Yunardi ◽  
Aji Akbar Firdaus ◽  
Eva Inaiyah Agustin
Keyword(s):  
Motion Capture ◽  
Average Error ◽  
Servo Motor ◽  
Movement Sequence ◽  
Leg Motion ◽  
Three Degree Of Freedom ◽  
Robotic Leg ◽  
Leg Design ◽  
Is Design ◽  
Analysis Of Motion

In this paper presented the prototype of robotic leg has been designed, constructed and controlled. These prototype are designed from a geometric of human leg model with three joints moving in 2D plane. Robot has three degree of freedom using DC servo motor as a joint actuators: hip, knee and ankle. The mechanical leg constructed using aluminum alloy and acrylic material. The control movement of this system is based on motion capture data stored on a personal computer. The motions are recorded with a camera by use of a marker-based to track movement of human leg. Propose of this paper is design of robotic leg to present the analysis of motion of the human leg swing and to testing the system ability to create the movement from motion capture. The results of this study show that the design of robotic leg was capable for practical use of the human leg motion analysis. The accuracy of orientation angles of joints shows the average error on hip is 1.46º, knee is 1.66º, and ankle is 0.46º. In this research suggesting that the construction of mechanic is an important role in the stabilization of the movement sequence.

Similarity analysis of motion based on motion capture technology

2016 ◽  
Author(s):  
Ega Hegarini ◽  
Achmad Benny Mutiara ◽  
Adang Suhendra ◽  
Mohammad Iqbal ◽  
Bheta Agus Wardijono
Keyword(s):  
Motion Capture ◽  
Similarity Analysis ◽  
Analysis Of Motion

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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