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ZSCAN

Hand pose and gesture analysis for next generation device interaction

Total Cost €

EC-Contrib. €

Partnership

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ZSCAN project word cloud

Explore the words cloud of the ZSCAN project. It provides you a very rough idea of what is the project "ZSCAN" about.

markerless exposing fingertip detection backgrounds intuitive computing varied color natural pose skin breakthrough tones poc accurate cameras computer interfaces easily touch generation interaction grant developers time erc 2015 interface sensors lighting innovation finger human virtual efficient upscaling solutions headsets packaging 3d precisely prototype restrictions laptops environment

Project "ZSCAN" data sheet

The following table provides information about the project.

Coordinator	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY Organization address address: SENATE BUILDING TECHNION CITY city: HAIFA postcode: 32000 website: www.technion.ac.il contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Israel [IL]
Total cost	150˙000 €
EC max contribution	150˙000 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2014-PoC
Funding Scheme	ERC-POC
Starting year	2015
Duration (year-month-day)	from 2015-06-01 to 2016-11-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY Organization address address: SENATE BUILDING TECHNION CITY city: HAIFA postcode: 32000 website: www.technion.ac.il contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IL (HAIFA)	coordinator	150˙000.00

Map

Project objective

A touch-less, markerless interface for next generation Virtual Reality headsets and laptops (with embedded 3D sensors expected early 2015), will be possible only when accurate and robust finger and hand pose detection is available and developers can easily build applications with these natural interfaces. Solutions based on color cameras are problematic because of the restrictions on environment lighting, complex backgrounds and varied skin tones. A recent breakthrough during research within our current ERC grant has been the development of a highly efficient prototype system that is capable of real-time markerless fingertip and hand pose detection and analysis using 3D sensors. Exposing this functionality for future human-computer interfaces is an important and necessary step forward that will allow more intuitive and effective interaction with next generation computing systems. Upscaling our current prototype system and packaging its functionality for easy use by developers is precisely the innovation we aim to implement in this PoC.

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The information about "ZSCAN" are provided by the European Opendata Portal: CORDIS opendata.