TY - CPAPER
KW - Folk dance
KW - Folk dances
KW - Intangible cultural heritage
KW - Intangible cultural heritages
KW - Kinect sensor
KW - Kinect sensors
KW - Pattern recognition
KW - Posture analysis
KW - Posture identification
KW - Soft computing
AU - Eftychios Protopapadakis
AU - Athanasios Voulodimos
AU - Anastasios Doulamis
AU - Stephanos Camarinopoulos
AU - Assoc Machinery
AB - 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.
C2 - ACM Int. Conf. Proc. Ser.
DO - 10.1145/3056540.3076200
LA - English
N1 - Journal Abbreviation: ACM Int. Conf. Proc. Ser.
N2 - 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.
PB - Association for Computing Machinery
PY - 2017
SN - 9781450352277 (ISBN)
SP - 305
EP - 310
TI - A Study on the Use of Kinect Sensor in Traditional Folk Dances Recognition via Posture Analysis
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025118340&doi=10.1145%2f3056540.3076200&partnerID=40&md5=18dd0698978acf62a18ad43eab81494a
VL - Part F128530
ER -