Feature Selection of Motion Capture Data in Gait Identification Challenge Problem

2014 ◽  
pp. 535-544 ◽  
Author(s):  
Adam Świtoński ◽  
Henryk Josiński ◽  
Agnieszka Michalczuk ◽  
Przemysław Pruszowski ◽  
Konrad Wojciechowski
Keyword(s):  
Feature Selection ◽  
Motion Capture ◽  
Motion Capture Data ◽  
Gait Identification ◽  
Selection Of

scholarly journals Dynamic time warping in classification and selection of motion capture data

2018 ◽  
Vol 30 (3) ◽  
pp. 1437-1468 ◽  
Author(s):  
Adam Switonski ◽  
Henryk Josinski ◽  
Konrad Wojciechowski
Keyword(s):  
Motion Capture ◽  
Dynamic Time Warping ◽  
Motion Capture Data ◽  
Time Warping ◽  
Dynamic Time ◽  
Selection Of

Selection of pose configuration parameters of motion capture data based on dynamic time warping

2015 ◽  
Author(s):  
Adam Switonski ◽  
Henryk Josinski ◽  
Hafed Zghidi ◽  
Konrad Wojciechowski
Keyword(s):  
Motion Capture ◽  
Dynamic Time Warping ◽  
Motion Capture Data ◽  
Time Warping ◽  
Dynamic Time ◽  
Selection Of

Heuristic Method of Feature Selection for Person Re-identification Based on Gait Motion Capture Data

2014 ◽  
pp. 585-594 ◽  
Author(s):  
Henryk Josiński ◽  
Agnieszka Michalczuk ◽  
Daniel Kostrzewa ◽  
Adam Świtoński ◽  
Konrad Wojciechowski
Keyword(s):  
Feature Selection ◽  
Motion Capture ◽  
Heuristic Method ◽  
Motion Capture Data ◽  
Selection For

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.

Feature selection of the armature winding broken coils in synchronous motor using genetic algorithm and mahalanobis distance

2012 ◽  
Vol 57 (3) ◽  
pp. 829-835 ◽  
Author(s):  
Z. Głowacz ◽  
J. Kozik
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
Mahalanobis Distance ◽  
Distance Measure ◽  
Synchronous Motor ◽  
Medical Diagnostics ◽  
Motor Current ◽  
Feature Spaces ◽  
Multidimensional Feature Spaces ◽  
Selection Of

The paper describes a procedure for automatic selection of symptoms accompanying the break in the synchronous motor armature winding coils. This procedure, called the feature selection, leads to choosing from a full set of features describing the problem, such a subset that would allow the best distinguishing between healthy and damaged states. As the features the spectra components amplitudes of the motor current signals were used. The full spectra of current signals are considered as the multidimensional feature spaces and their subspaces are tested. Particular subspaces are chosen with the aid of genetic algorithm and their goodness is tested using Mahalanobis distance measure. The algorithm searches for such a subspaces for which this distance is the greatest. The algorithm is very efficient and, as it was confirmed by research, leads to good results. The proposed technique is successfully applied in many other fields of science and technology, including medical diagnostics.

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

scholarly journals Memory Based Cuckoo Search Algorithm for Feature Selection of Gene Expression Dataset

2021 ◽  
pp. 100572
Author(s):  
Malek Alzaqebah ◽  
Khaoula Briki ◽  
Nashat Alrefai ◽  
Sami Brini ◽  
Sana Jawarneh ◽  
...  
Keyword(s):  
Gene Expression ◽  
Feature Selection ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Gene Expression Dataset ◽  
Selection Of
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