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ECOMODE

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Event Driven Compressive Vision for Multimodal Interaction with Mobile Devices

The visually impaired and the elderly, often suffering from mild speech and/or motor disabilities, are experiencing a significant and increasing barrier in accessing ICT technology and services. Yet, in order to be able to partici... ver más

31/12/2018

SORBONNE UNIVERSIT...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

SORBONNE UNIVERSITE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-12-31

ICT-22-2014: Multimodal and Natural computer int... Scope:Specific Challenge: As devices and systems are becoming increasingly powerful, the interface b...

I+D

Cerrada hace 10 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

9 Participantes

SORBONNE UNIVERSITE

758.13K€ | Lider

EXPERIS MANPOWERGROUP

176.74K€ | Participante

CSIC

556.28K€ | Participante

IIT

592.71K€ | Participante

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Duración del proyecto: 48 meses Fecha Inicio: 2014-12-18
Fecha Fin: 2018-12-31

Líder del proyecto

SORBONNE UNIVERSITE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The visually impaired and the elderly, often suffering from mild speech and/or motor disabilities, are experiencing a significant and increasing barrier in accessing ICT technology and services. Yet, in order to be able to participate in a modern, interconnected society that relies on ICT technologies for handling everyday issues, there is clear need also for these user groups to have access to ICT, in particular to mobile platforms such as tablet computers or smart-phones. The proposed project aims at developing and exploiting the recently matured and quickly advancing biologically-inspired technology of event-driven, compressive sensing (EDC) of audio-visual information, to realize a new generation of low-power multi-modal human-computer interface for mobile devices. The project is based on two main technology pillars: (A) an air gesture control set, and (B) a vision-assisted speech recognition set. (A) exploits EDC vision for low and high level hand and finger gesture recognition and subsequent command execution; (B) combines temporal dynamics from lip and chin motion acquired using EDC vision sensors with the auditory sensor input to gain robustness and background noise immunity of spoken command recognition and speech-to-text input. In contrast to state-of-the-art technologies, both proposed human-computer communication channels will be designed to work reliably under uncontrolled conditions. Particularly, mobile devices equipped with the proposed interface technology will facilitate unrestricted outdoor use under uncontrolled lighting and background noise conditions. Furthermore, due to the sparse nature of information encoding, EDC excels conventional approaches in energy efficiency, yielding an ideal solution for mobile, battery-powered devices. ECOMODE is committed to pave the way for industrialization of commercial products by demonstrating the availability of the required hardware and software components and their integrability into a mobile platform.

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