A Multimodal Dataset for the Analysis of Movement Qualities in Karate Martial Art

Kolykhalova, Ksenia and Camurri, Antonio and Volpe, Gualtiero and Sanguineti, Marcello and Puppo, Enrico and Niewiadomski, Radoslaw (2015) A Multimodal Dataset for the Analysis of Movement Qualities in Karate Martial Art. A Multimodal Dataset for the Analysis of Movement Qualities in Karate Martial Art, 1 (4). e3. ISSN 2312-8623

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Abstract

A multimodal dataset is presented, which has been collected for analyzing and measuring the quality of movement performed during sport activities. Martial arts (namely karate) are taken as test-beds for investigation. Karate encompasses predefined sequences of movements (“katas”) that can be carried out with different qualities, e.g., by performers at different skill levels (highly vs. poorly skilled).The experimental setup and method are described. The dataset is composed of motion capture (MoCap) data, synchronized with video and audio recordings, of several participants with different levels of experience. The raw MoCap data are independent of any particular post-processing algorithm and can be used for other research purposes. In the second part of the paper, a set of measures is proposed to evaluate a kata performance. They are based on the geometrical and kinematic features, such as posture correctness and synchronization between limbs. and were chosen according to karate experts’ opinion.

Item Type: Article
Uncontrolled Keywords: motion capture, multimodal dataset, karate, movement features
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 01 Jul 2021 11:54
Last Modified: 01 Jul 2021 11:54
URI: https://eprints.eudl.eu/id/eprint/4309

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