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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.

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

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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