PROHAPTICS

Haptic Signal Processing and Communications

 Coordinatore TECHNISCHE UNIVERSITAET MUENCHEN 

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 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

Mappa

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 Word cloud

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perception    signals    haptic    machine    humans    efficient    model    interaction    decade    signal    communication    human   

 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.'

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