@inproceedings{f9332781b5b64191b16248981cfa7f4e,
title = "A hierarchical structure for gesture recognition using RGB-D sensor",
abstract = "Recently, gesture recognition using visual sensors has been paid increased attention as an intelligent technology for human-computer interaction. To achieve good recognition performance in vision-based gesture recognition, it is important to find an efficient representation of complex visual signals and a robust classification method that can deal with diverse variations of gesture data. To treat these challenging topics, we propose a hierarchical structure for feature extraction and measuring similarity between two gestures obtained through RGB-D video sensors such as Kinect. The efficiency of the proposed method is confirmed through computational experiments on a public benchmark database.",
keywords = "Feature extraction, Gesture recognition, Kinect, RGB-D sensor, Similarity measure",
author = "Hyunsoek Choi and Hyeyoung Park",
year = "2014",
month = oct,
day = "29",
doi = "10.1145/2658861.2658938",
language = "English",
series = "HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction",
publisher = "Association for Computing Machinery",
pages = "265--268",
booktitle = "HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction",
note = "2nd International Conference on Human-Agent Interaction, HAI 2014 ; Conference date: 29-10-2014 Through 31-10-2014",
}