PROHAPTICS

Haptic Signal Processing and Communications

Coordinatore	TECHNISCHE UNIVERSITAET MUENCHEN    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Germany [DE]
Totale costo	1˙489˙000 €
EC contributo	1˙489˙000 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2010-StG_20091028
Funding Scheme	ERC-SG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-01-01   -   2015-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNISCHE UNIVERSITAET MUENCHEN  Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 contact info Titolo: Ms. Nome: Ulrike Cognome: Ronchetti Email: send email Telefono: +49 89 289 22616 Fax: +4989 289 22620	DE (MUENCHEN)	hostInstitution	1˙489˙000.00
2	TECHNISCHE UNIVERSITAET MUENCHEN  Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 contact info Titolo: Prof. Nome: Eckehard G?tz Cognome: Steinbach Email: send email Telefono: +49 89 28923504 Fax: +49 89 28923523	DE (MUENCHEN)	hostInstitution	1˙489˙000.00

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 Obiettivo del progetto (Objective)

'During the last decade, audio-visual communication has shaped the way humans interact with technical systems or other humans. During the next decade, haptic communication has the potential to further augment human-to-human and human-to-machine interaction. With recent advances in Virtual Reality, Man-Machine Interaction, Telerobotics, Telepresence, and Telemanipulation, the processing and communication of haptic signals are rapidly gaining in relevance and are becoming an enabling technology for many novel fields of application. The objective of this proposal is to investigate fundamental methods and technologies for the efficient processing and communication of haptic signals. We will develop a mathematical model of human haptic perception which will be instrumental in ensuring that introduced distortions stay below human perception thresholds. One of the main goals of this work is to leverage the model of human haptic perception for efficient lossy compression of haptic signal streams. We will study haptic signal processing and communication both from a theoretical point of view but also experimentally by designing, implementing and evaluating haptic interaction testbeds. The performance of the proposed haptic processing and communication methods will be analyzed both objectively and subjectively. With our work plan, we see the opportunity to establish a de facto standard for future haptic data communication.'