Sara Stančin (Author), Sašo Tomažič (Author)

Abstract

We present here a method for recognising dance moves in sequences using 3D accelerometer and gyroscope signals, acquired by a single wearable device, attached to the dancer’s leg. The recognition entails dance tempo estimation, temporal scaling, a wearable device orientation-invariant coordinate system transformation, and, finally, sliding correlation-based template matching. The recognition is independent of the orientation of the wearable device and the tempo of dancing, which promotes the usability of the method in a wide range of everyday application scenarios. For experimental validation, we considered the versatile repertoire of solo jazz dance moves. We created a database of 15 authentic solo jazz template moves using the performances of a professional dancer dancing at 120 bpm. We analysed 36 new dance sequences, performed by the professional and five recreational dancers, following six dance tempos, ranging from 120 bpm to 220 bpm with 20 bpm increment steps. The recognition F1 scores, obtained cumulatively for all moves for different tempos, ranged from 0.87 to 0.98. The results indicate that the presented method can be used to recognise repeated dance moves and to assess the dancer’s consistency in performance. In addition, the results confirm the potential of using the presented method to recognise imitated dance moves, supporting the learning process.

Keywords

prepoznava gibanja;analiza gibanja;inercijski senzorji;3D pospeškometer;3D žiroskop;solo jazz;ples;motion recognition;motion analysis;inertial sensors;3D accelerometer;3D gyroscope;dancing;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FE - Faculty of Electrical Engineering
UDC: 681.586:793.3
COBISS: 104154883 Link will open in a new window
ISSN: 1424-8220
Views: 86
Downloads: 26
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: prepoznava gibanja;analiza gibanja;inercijski senzorji;3D pospeškometer;3D žiroskop;solo jazz;ples;
Type (COBISS): Article
Pages: str. 1-21
Volume: ǂiss. ǂ7
Issue: 2446
Chronology: Apr.-1 2022
DOI: 10.3390/s22072446
ID: 15347660