@inproceedings{61d40481db204e32be8348a1622211e2,
title = "A gesture expressive model based on Laban qualities",
abstract = "Today, gesture analysis lacks of global models able to characterize motion expressivity and its communicational character. In this paper, we propose a set of new gesture descriptors inspired from Laban Movement Analysis (LMA) and based on 3D body trajectories. We test our descriptors ability to characterize human actions in a machine learning framework (with SVM and different random forest techniques). The results obtained on Microsoft Research Cambridge-12 (MSRC-12) dataset and show very high recognition rates (more than 97\%).",
keywords = "Gesture expressivity, Laban movement analysis, gesture recognition, machine learning, motion features",
author = "Arthur Truong and Hugo Boujut and Titus Zaharia",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin ; Conference date: 07-09-2014 Through 10-09-2014",
year = "2015",
month = feb,
day = "5",
doi = "10.1109/ICCE-Berlin.2014.7034309",
language = "English",
series = "IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin",
publisher = "IEEE Computer Society",
number = "February",
pages = "168--172",
editor = "Bellido, \{Francisco J.\} and Dietmar Hepper and Cycon, \{Hans L.\} and Alexander Huhn",
booktitle = "Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin",
edition = "February",
}