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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.

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

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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