Pubblicazioni

Autori:

Emporio, Marco; Caputo, Ariel; Giachetti, Andrea

Titolo:

STRONGER: Simple TRajectory-based ONline GEsture Recognizer

Anno:

2021

Tipologia prodotto:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Lingua:

Inglese

Formato:

Elettronico

Titolo del Convegno:

Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference

Luogo:

Roma/virtuale

Periodo:

26-29 Ottobre 2021

Casa editrice:

Eurographics digital library

ISBN:

978-3-03868-165-6

Intervallo pagine:

109-117

Parole chiave:

Mixed Reality, Gestures, Hand Tracking

Breve descrizione dei contenuti:

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.

Pagina Web:

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

Id prodotto:

123377

Handle IRIS:

11562/1052546

ultima modifica:

11 ottobre 2024

Citazione bibliografica:

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 , Atti di "Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference" , Roma/virtuale , 26-29 Ottobre 2021 , 2021 , pp. 109-117

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