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HOL-DEEP-SENSE SIGNED

Holistic Deep Modelling for User Recognition and Affective Social Behaviour Sensing

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 HOL-DEEP-SENSE project word cloud

Explore the words cloud of the HOL-DEEP-SENSE project. It provides you a very rough idea of what is the project "HOL-DEEP-SENSE" about.

pattern    sensitivity    relatedness    associative    detection    computers    visual    iot    indispensable    technologies    comprising    neural    virtual    health    assimilate    sensors    physiological    simon    net    infer    construct    channels    wellbeing    spontaneous    perception    unified    auditory    sought    context    holistic    edge    signal    ontological    electronics    unseen    communication    ai    fusion    perform    networks    human    modal    interaction    natural    intelligent    environments    competencies    deep    skills    humans    gains    sense    transformation    hitherto    central    topology    builds    verifying    learning    trained    envision    connected    standard    emotionally    computing    true    subdivided    datasets    socially    inspired    affective    generation    assistants    universal    hol    machine    sensing    architecture    interact    combined    social    recognition    salience    machines    augmenting    herald    domain    acumen    cues    adapt    phenomena    transfer    robots    contrast   

Project "HOL-DEEP-SENSE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET AUGSBURG 

Organization address
address: UNIVERSITAETSSTRASSE 2
city: AUGSBURG
postcode: 86159
website: www.uni-augsburg.de

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 Germany [DE]
 Total cost 199˙828 €
 EC max contribution 199˙828 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-GF
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET AUGSBURG DE (AUGSBURG) coordinator 199˙828.00
2    MASSACHUSETTS INSTITUTE OF TECHNOLOGY US (CAMBRIDGE) partner 0.00

Map

 Project objective

'The 'Holistic Deep Modelling for User Recognition and Affective Social Behaviour Sensing' (HOL-DEEP-SENSE) project aims at augmenting affective machines such as virtual assistants and social robots with human-like acumen based on holistic perception and understanding abilities.

Social competencies comprising context awareness, salience detection and affective sensitivity present a central aspect of human communication, and thus are indispensable for enabling natural and spontaneous human-machine interaction. Therefore, with the aim to advance affective computing and social signal processing, we envision a 'Social Intelligent Multi-modal Ontological Net' (SIMON) that builds on technologies at the leading edge of deep learning for pattern recognition. In particular, our approach is driven by multi-modal information fusion using end-to-end deep neural networks trained on large datasets, allowing SIMON to exploit combined auditory, visual and physiological analysis. In contrast to standard machine learning systems, SIMON makes use of task relatedness to adapt its topology within a novel construct of subdivided neural networks. Through deep affective feature transformation, SIMON is able to perform associative domain adaptation via transfer and multi-task learning, and thus can infer user characteristics and social cues in a holistic context.

This new unified sensing architecture will enable affective computers to assimilate ontological human phenomena, leading to a step change in machine perception. This will offer a wide range of applications for health and wellbeing in future IoT-inspired environments, connected to dedicated sensors and consumer electronics.

By verifying the gains through holistic sensing, the project will show the true potential of the much sought-after emotionally and socially intelligent AI, and herald a new generation of machines with hitherto unseen skills to interact with humans via universal communication channels.'

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The information about "HOL-DEEP-SENSE" are provided by the European Opendata Portal: CORDIS opendata.

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