NeuronUnityIntgration2.0 (demo video is avilable at http://tiny.cc/u1lz6y) is a plugin for Unity which provides gesture recognition functionalities through the Perception Neuron motion capture suit. The system offers a recording mode, which guides the user through the collection of a dataset of gestures, and a recognition mode, capable of detecting the recorded actions in real time. Gestures are recognized by training Support Vector Machines directly within our plugin. We demonstrate the effectiveness of our application through an experimental evaluation on a newly collected dataset. Furthermore, external applications can exploit NeuronUnityIntgration2.0's recognition capabilities thanks to a set of exposed API.

NeuronUnityIntegration2. 0. A Unity Based Application for Motion Capture and Gesture Recognition / Federico Becattini, Andrea Ferracani, Filippo Principi, Marioemanuele Ghianni, Alberto Del Bimbo. - ELETTRONICO. - (2019), pp. 0-0. (Intervento presentato al convegno ACM Multimedia) [10.1145/3343031.3350598].

NeuronUnityIntegration2. 0. A Unity Based Application for Motion Capture and Gesture Recognition

Federico Becattini;Andrea Ferracani;Filippo Principi;Alberto Del Bimbo
2019

Abstract

NeuronUnityIntgration2.0 (demo video is avilable at http://tiny.cc/u1lz6y) is a plugin for Unity which provides gesture recognition functionalities through the Perception Neuron motion capture suit. The system offers a recording mode, which guides the user through the collection of a dataset of gestures, and a recognition mode, capable of detecting the recorded actions in real time. Gestures are recognized by training Support Vector Machines directly within our plugin. We demonstrate the effectiveness of our application through an experimental evaluation on a newly collected dataset. Furthermore, external applications can exploit NeuronUnityIntgration2.0's recognition capabilities thanks to a set of exposed API.
2019
Proceedings of the 27th ACM International Conference on Multimedia
ACM Multimedia
Federico Becattini, Andrea Ferracani, Filippo Principi, Marioemanuele Ghianni, Alberto Del Bimbo
File in questo prodotto:
File Dimensione Formato  
3343031.3350598.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 1.74 MB
Formato Adobe PDF
1.74 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1195586
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact