Publications

Authors:

Emporio, Marco; Caputo, Ariel; Giachetti, Andrea

Title:

STRONGER: Simple TRajectory-based ONline GEsture Recognizer

Year:

2021

Type of item:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Language:

Inglese

Format:

Elettronico

Congresso:

Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference

Place:

Roma/virtuale

Period:

26-29 Ottobre 2021

Publisher:

Eurographics digital library

ISBN:

978-3-03868-165-6

Page numbers:

109-117

Keyword:

Mixed Reality, Gestures, Hand Tracking

Short description of contents:

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.

Web page:

https://diglib.eg.org/handle/10.2312/stag20211481

Product ID:

123377

Handle IRIS:

11562/1052546

Last Modified:

October 11, 2024

Bibliographic citation:

Emporio, Marco; Caputo, Ariel; Giachetti, Andrea, STRONGER: Simple TRajectory-based ONline GEsture Recognizer  in Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference , Eurographics digital library , Proceedings of "Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference" , Roma/virtuale , 26-29 Ottobre 2021 , 2021 , pp. 109-117

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