Egilea
Eftychios Protopapadakis
Athanasios Voulodimos
Anastasios Doulamis
Stephanos Camarinopoulos
Assoc Machinery
Hitz-gakoak
Folk dance
Folk dances
Intangible cultural heritage
Intangible cultural heritages
Kinect sensor
Kinect sensors
Pattern recognition
Posture analysis
Posture identification
Soft computing
Abstract

In this paper, we evaluate the performance of widely applied soft computing classifiers, in folk dance recognition problems, emphasizing on posture identification. In particular, the goal is to identify postures which are characteristic for the dance performed, based on exploiting simultaneously the information of 24 body joints, acquired by a Kinect II sensor. The data sets described 6 folk dances, and their variations, originating from Greece.
Year of Publication
2017
Number of Pages
305-310
Acta title
ACM Int. Conf. Proc. Ser.
Publisher
Association for Computing Machinery
Publication Language
English
ISBN-ISSN
9781450352277 (ISBN)
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025118340&doi=10.1145%2f3056540.3076200&partnerID=40&md5=18dd0698978acf62a18ad43eab81494a
DOI
10.1145/3056540.3076200
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