From RRI ICT Forum
Acronym SEWA

Automatic Sentiment Estimation in the Wild project logo

Title Automatic Sentiment Estimation in the Wild
Description The Automatic Sentiment Analysis in the Wild (SEWA) is a EC H2020 funded project. The main aim of SEWA is to deploy and capitalise on existing state-of-the-art methodologies, models and algorithms for machine analysis of facial, vocal and verbal behaviour, and then adjust and combine them to realise naturalistic human-centric human-computer interaction (HCI) and computer-mediated face-to-face interaction (FF-HCI).

This will involve development of computer vision, speech processing and machine learning tools for automated understanding of human interactive behaviour in naturalistic contexts. The envisioned technology will be based on findings in cognitive sciences and it will represent a set of audio and visual spatiotemporal methods for automatic analysis of human spontaneous (as opposed to posed and exaggerated) patterns of behavioural cues including continuous and discrete analysis of sentiment, liking and empathy.

Start date 2015/02/01
End date (actual or expected) 2018/08/01
Coordinator Imperial
RRI-SSH reference person
Twitter handle @sewaproject
Partners PlayGen Ltd, REALEYES OU, Passau
RRI subjects or topics Science Education
ICT subjects or topics Human-machine interaction, Internet of Things
SSH subjects or topics Ethics, Psychology
Other subjects or topics Machine Learning
Funded by European Commission
Call H2020-ICT-2014-1

Automatically generated lists

List of documents produced by SEWA

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