This paper presents a fast approach for marker-less Full-DOF hand tracking, leveraging only depth information from a single depth camera. This system can be useful in many applications, ranging from tele-presence to remote control of robotic actuators or interaction with 3D virtual environment. We applied the proposed technology to enable remote transmission of signs from Tactile Sing Languages (i.e., Sign Languages with Tactile feedbacks), allowing non-invasive remote communication not only among deaf-blind users, but also with deaf, blind and hearing with proficiency in Sign Languages. We show that our approach paves the way to a fluid and natural remote communication for deaf-blind people, up to now impossible. This system is a first prototype for the PARLOMA project, which aims at designing a remote communication system for deaf-blind people.

Real-Time Single Camera Hand Gesture Recognition System for Remote Deaf-Blind Communication

Daniele Pianu;
2014

Abstract

This paper presents a fast approach for marker-less Full-DOF hand tracking, leveraging only depth information from a single depth camera. This system can be useful in many applications, ranging from tele-presence to remote control of robotic actuators or interaction with 3D virtual environment. We applied the proposed technology to enable remote transmission of signs from Tactile Sing Languages (i.e., Sign Languages with Tactile feedbacks), allowing non-invasive remote communication not only among deaf-blind users, but also with deaf, blind and hearing with proficiency in Sign Languages. We show that our approach paves the way to a fluid and natural remote communication for deaf-blind people, up to now impossible. This system is a first prototype for the PARLOMA project, which aims at designing a remote communication system for deaf-blind people.
2014
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Inglese
Lucio Tommaso De Paolis, Antonio Mongelli
Augmented and Virtual Reality
First International Conference, AVR 2014
35
52
978-3-319-13969-2
http://link.springer.com/chapter/10.1007/978-3-319-13969-2_3
Sì, ma tipo non specificato
17-20/10/2014
Lecce
Real-time Markerless Hand Tracking
Hand Gesture Recognition
Tactile Sign-Language Communication
Haptic Interface
12
none
Airò Farulla, Giuseppe; Orlando Russo, Ludovico; Pintor, Chiara; Pianu, Daniele; Micotti, Giorgio; Rita Salgarella, Alice; Camboni, Domenico; Controzz...espandi
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/260759
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