iKarate: Improving Karate Kata

Abstract

Scopus

Karate is a martial art that can be practiced using hands and feet to deliver and block strikes. Karate moves must be done in a certain way, many moves are practiced incorrectly during training. In this paper, we present a fully functional system which Karate players, coaches, judges and clubs could use. The system helps in capturing Karate moves using Kinect v2 sensor and analyzing these moves using F-DTW. Real-time feedback and a report are displayed to the users using a simple GUI (Graphical User Interface) that the users can easily use, to learn how a mistake was made, and how to fix it/learn from it. F-DTW was used for proving the concept, and an average accuracy of 90% was achieved. This Paper is mainly concerned about the moves named: Age-Uke, Mae-Geri, Gedan-Barai and Soto-Uke.