STRONGER: Simple TRajectory-based ONline GEsture Recognizer
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
In this paper, we present STRONGER, a client-server solution for the online gesture recognition from captured hands' joints sequences. The system leverages a CNN-based recognizer improving current state-of-the-art solutions for segmented gestures classification, trained and tested for the online gesture recognition task on a recent benchmark including heterogeneous gestures. The recognizer provides good classification accuracy and a limited number of false positives on most of the gesture classes of the benchmark used and has been used to create a demo application in a Mixed Reality scenario using an Hololens 2 optical see through Head-Mounted Display with hand tracking capability.
Description
@inproceedings{10.2312:stag.20211481,
booktitle = {Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference},
editor = {Frosini, Patrizio and Giorgi, Daniela and Melzi, Simone and Rodolà , Emanuele},
title = {{STRONGER: Simple TRajectory-based ONline GEsture Recognizer}},
author = {Emporio, Marco and Caputo, Ariel and Giachetti, Andrea},
year = {2021},
publisher = {The Eurographics Association},
ISSN = {2617-4855},
ISBN = {978-3-03868-165-6},
DOI = {10.2312/stag.20211481}
}