@inproceedings{a8a935a93eff49269782f9eadc69db79,
title = "SHREC'17 track: 3D hand gesture recognition using a depth and skeletal dataset",
abstract = "Hand gesture recognition is recently becoming one of the most attractive field of research in pattern recognition. The objective of this track is to evaluate the performance of recent recognition approaches using a challenging hand gesture dataset containing 14 gestures, performed by 28 participants executing the same gesture with two different numbers of fingers. Two research groups have participated to this track, the accuracy of their recognition algorithms have been evaluated and compared to three other state-of-the-art approaches.",
author = "\{De Smedt\}, Q. and H. Wannous and Vandeborre, \{J. P.\} and J. Guerry and \{Le Saux\}, B. and D. Filliat",
note = "Publisher Copyright: {\textcopyright} 2017 The Eurographics Association.; 10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017 ; Conference date: 23-04-2017 Through 24-04-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.2312/3dor.20171049",
language = "English",
series = "Eurographics Workshop on 3D Object Retrieval, EG 3DOR",
publisher = "Eurographics Association",
pages = "33--38",
editor = "Maks Ovsjanikov and Ioannis Pratikakis and Florent Dupont",
booktitle = "EG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval",
}