Preliminary result on gesture recognition of Sigeh Penguten Dance using Hidden Markov Model
Maria Shusanti Febrianti, Egi Hidayat, Aciek Ida Wuryandari, Ary Setijadi Prihatmanto, Carmadi Machbub · 2016
In this paper, an implementation of gesture recognition using Hidden Markov Model to classify particular gestures on Sigeh Penguten traditional Dance is presented. The preliminary research is focused on recognition of dancers' hand gestures, i.e. `Sembah Depan', `Sembah Kiri', and `Sembah Kanan' gestures based on their collected hands marker positions. The experimental results show that the proposed approach is able to classify the three mentioned gestures even with only the hands' positions to a certain degree. However, the reliability of the proposed approach requires further improvement.