iKarate: Karate Kata Guidance System.
Body Gestures
Classification
Computer Vision
Human Activity Recognition
Human Motion Analysis
Kinect
Motion Detection
Signal Analysis
Journal
Procedia computer science
ISSN: 1877-0509
Titre abrégé: Procedia Comput Sci
Pays: Netherlands
ID NLM: 101537771
Informations de publication
Date de publication:
2020
2020
Historique:
entrez:
25
8
2020
pubmed:
25
8
2020
medline:
25
8
2020
Statut:
ppublish
Résumé
Smart coaching in martial arts is one of the recent research areas in Human Motion Analysis. Numerous moves are performed incorrectly during the performance. In this paper we offer a system that will record the Players' movements using IR (Infrared) camera sensor, store the data in a database, pre-process the data, classify the data using F-DTW (Fast Dynamic Time Warping) and then show the users an accurate report that contains every movement the player had done, their mistakes and how to improve their performance the next time. This approach focuses on the first seven movements of Karate Kata 1 (Hein Shodan). The system has reached an accuracy of 91.07% in classifying the moves and one common mistake for each move.
Identifiants
pubmed: 32834878
doi: 10.1016/j.procs.2020.07.024
pii: S1877-0509(20)31703-8
pmc: PMC7409737
doi:
Types de publication
Journal Article
Langues
eng
Pagination
149-156Informations de copyright
© 2020 The Author(s). Published by Elsevier B.V.
Références
Cancer Genomics Proteomics. 2018 Jan-Feb;15(1):41-51
pubmed: 29275361