Aplikasi Penilaian Posisi Karate Menggunakan Sensor Kinect

Abstract

Kihon is the fundamental knowledge which is important to learn Karate. Kihon consists of stances, punches, and kicks. In traditional learning environment, Karate teachers have difficulty in monitoring student position in learning Karate. This paper present an approach to overcome this problem by using Kinect sensor data to capture student position then compare the elevation degree of selected joint. As a result, we developed an application that could measuring body position compared to stored model position. By using skeleton stream which has vector data, we can estimate the angle between two vector and save it as reference for further assessment with user model. This application has accuracy rate of 83% for performing above mentioned task.