A Study on the Use of Kinect Sensor in Traditional Folk Dances Recognition via Posture Analysis

Author:

Protopapadakis Eftychios1,Voulodimos Athanasios1,Doulamis Anastasios1,Camarinopoulos Stephanos2

Affiliation:

1. National Technical, University of Athens

2. RISA Sicherheitsanalysen, GmbH

Publisher

ACM

Reference18 articles.

1. Unsupervised clustering of people from 'skeleton' data

2. Classification of Multidimensional Time-Evolving Data using Histograms of Grassmannian Points;Dimitropoulos K.;IEEE Transactions on Circuits and Systems for Video Technology PP,2016

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1. Skeleton-Based Recognition of Traditional Greek Dance Steps using Machine Learning Algorithms;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

2. Sarawak Traditional Dance Motion Analysis and Comparison using Microsoft Kinect V2;Green Intelligent Systems and Applications;2022-04-17

3. Automatic 3D Modeling and Reconstruction of Cultural Heritage Sites from Twitter Images;Sustainability;2020-05-21

4. Dance Posture/Steps Classification Using 3D Joints from the Kinect Sensors;2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech);2018-08

5. Multidimensional Trajectory Similarity Estimation via Spatial-Temporal Keyframe Selection and Signal Correlation Analysis;Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference;2018-06-26

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