Name
Title | ||
|---|---|---|
Preliminary result on gesture recognition of Sigeh Penguten Dance using Hidden Markov Model |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICSEngT.2016.7849644 | 2016 6th International Conference on System Engineering and Technology (ICSET) |
Keywords | Field | DocType |
Dance Recognition,Hidden Markov Model,Microsoft Kinect | Computer vision,Dance,Gesture,Computer science,Gesture recognition,Speech recognition,Artificial intelligence,Hidden Markov model,Statistical classification | Conference |
ISSN | ISBN | Citations |
2470-640X | 978-1-5090-5090-1 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Shusanti Febrianti | 1 | 0 | 0.34 |
| Egi Hidayat | 2 | 0 | 1.01 |
| Aciek Ida Wuryandari | 3 | 0 | 1.35 |
| Ary Setijadi Prihatmanto | 4 | 0 | 3.72 |
| Machbub, Carmadi | 5 | 0 | 5.07 |