@inproceedings{ead7b675716347a8bcd1046e898588a7,
title = "Hand gesture recognition using 8-directional vector chains in quantization space",
abstract = "This paper proposes a hand gesture recognition technique that allows users to enjoy uninterrupted interaction with a variety of multimedia applications. Hand gestures are recognized using joint information acquired from a Kinect sensor, and the recognized gestures are applied to multimedia content. To this end, hand gestures are quantized in the grid space, expressed using an 8-directional vector chain, and finally recognized on the basis of a hidden Markov model. To assess the proposed approach, we define the hand gestures used in the “Smart Interior” multimedia application, and collect a dataset of gestures using the Kinect. Our experiments demonstrate a high recognition ratio of between 90 and 100 %. Furthermore, the experiments identify the possibility of applying this approach to a variety of multimedia content by verifying its superior operation in actual applications.",
keywords = "Hand gesture recognition, Hidden Markov model, Kinect sensor, Multimedia content",
author = "Seongjo Lee and Sohyun Sim and Kyhyun Um and Jeong, {Young Sik} and Kyungeun Cho",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Dordrecht 2015.; 2nd FTRA International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2014 ; Conference date: 07-07-2014 Through 10-07-2014",
year = "2015",
doi = "10.1007/978-94-017-9618-7_31",
language = "English",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "333--340",
editor = "Yi Pan and Gangman Yi and Han-Chieh Chao and Park, {James J.}",
booktitle = "Ubiquitous Computing Application and Wireless Sensor, UCAWSN-2014",
address = "Germany",
}