Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers
In this paper, we scrutinize the effectiveness of classification techniques in recognizing dance types based on motion-captured human skeleton data. In particular, the goal is to identify poses which are characteristic for each dance performed, based on information on body joints, acquired by a Kine...
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doaj-8676e412e30d4b10ab288a4933bc25f62020-11-25T00:23:40ZengMDPI AGTechnologies2227-70802018-03-01613110.3390/technologies6010031technologies6010031Dance Pose Identification from Motion Capture Data: A Comparison of ClassifiersEftychios Protopapadakis0Athanasios Voulodimos1Anastasios Doulamis2Stephanos Camarinopoulos3Nikolaos Doulamis4Georgios Miaoulis5School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Zografou, GreeceDepartment of Informatics, Technological Educational Institute of Athens, 12243 Egaleo, GreeceSchool of Rural and Surveying Engineering, National Technical University of Athens, 15780 Zografou, GreeceRISA Sicherheitsanalysen GmbH, 10707 Berlin, GermanySchool of Rural and Surveying Engineering, National Technical University of Athens, 15780 Zografou, GreeceDepartment of Informatics, Technological Educational Institute of Athens, 12243 Egaleo, GreeceIn this paper, we scrutinize the effectiveness of classification techniques in recognizing dance types based on motion-captured human skeleton data. In particular, the goal is to identify poses which are characteristic for each dance performed, based on information on body joints, acquired by a Kinect sensor. The datasets used include sequences from six folk dances and their variations. Multiple pose identification schemes are applied using temporal constraints, spatial information, and feature space distributions for the creation of an adequate training dataset. The obtained results are evaluated and discussed.http://www.mdpi.com/2227-7080/6/1/31pose identificationKinect sensormotion capture deviceclassificationdance analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eftychios Protopapadakis Athanasios Voulodimos Anastasios Doulamis Stephanos Camarinopoulos Nikolaos Doulamis Georgios Miaoulis |
spellingShingle |
Eftychios Protopapadakis Athanasios Voulodimos Anastasios Doulamis Stephanos Camarinopoulos Nikolaos Doulamis Georgios Miaoulis Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers Technologies pose identification Kinect sensor motion capture device classification dance analysis |
author_facet |
Eftychios Protopapadakis Athanasios Voulodimos Anastasios Doulamis Stephanos Camarinopoulos Nikolaos Doulamis Georgios Miaoulis |
author_sort |
Eftychios Protopapadakis |
title |
Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers |
title_short |
Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers |
title_full |
Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers |
title_fullStr |
Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers |
title_full_unstemmed |
Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers |
title_sort |
dance pose identification from motion capture data: a comparison of classifiers |
publisher |
MDPI AG |
series |
Technologies |
issn |
2227-7080 |
publishDate |
2018-03-01 |
description |
In this paper, we scrutinize the effectiveness of classification techniques in recognizing dance types based on motion-captured human skeleton data. In particular, the goal is to identify poses which are characteristic for each dance performed, based on information on body joints, acquired by a Kinect sensor. The datasets used include sequences from six folk dances and their variations. Multiple pose identification schemes are applied using temporal constraints, spatial information, and feature space distributions for the creation of an adequate training dataset. The obtained results are evaluated and discussed. |
topic |
pose identification Kinect sensor motion capture device classification dance analysis |
url |
http://www.mdpi.com/2227-7080/6/1/31 |
work_keys_str_mv |
AT eftychiosprotopapadakis danceposeidentificationfrommotioncapturedataacomparisonofclassifiers AT athanasiosvoulodimos danceposeidentificationfrommotioncapturedataacomparisonofclassifiers AT anastasiosdoulamis danceposeidentificationfrommotioncapturedataacomparisonofclassifiers AT stephanoscamarinopoulos danceposeidentificationfrommotioncapturedataacomparisonofclassifiers AT nikolaosdoulamis danceposeidentificationfrommotioncapturedataacomparisonofclassifiers AT georgiosmiaoulis danceposeidentificationfrommotioncapturedataacomparisonofclassifiers |
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1725355630782316544 |