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FARMI :
FARMI : A Framework for Recording Multi-Modal Interactions
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- Jonell, Patrik (författare)
- KTH,Tal, musik och hörsel, TMH
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- Bystedt, Mattias (författare)
- KTH,Tal, musik och hörsel, TMH
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- Fallgren, Per (författare)
- KTH,Tal, musik och hörsel, TMH
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- Kontogiorgos, Dimosthenis, 1987- (författare)
- KTH,Tal, musik och hörsel, TMH
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- David Aguas Lopes, José (författare)
- KTH,Tal, musik och hörsel, TMH
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- Malisz, Zofia (författare)
- KTH,Tal, musik och hörsel, TMH
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- Mascarenhas, Samuel (författare)
- GAIPS INESC-ID, Lisbon, Portugal
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- Oertel, Catharine (författare)
- KTH,Tal, musik och hörsel, TMH
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- Eran, Raveh (författare)
- Multimodal Computing and Interaction, Saarland University, Germany
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- Shore, Todd (författare)
- KTH,Tal, musik och hörsel, TMH
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(creator_code:org_t)
- Paris : European Language Resources Association, 2018
- 2018
- Engelska.
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Ingår i: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). - Paris : European Language Resources Association. ; , s. 3969-3974
- Relaterad länk:
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https://kth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- In this paper we present (1) a processing architecture used to collect multi-modal sensor data, both for corpora collection and real-time processing, (2) an open-source implementation thereof and (3) a use-case where we deploy the architecture in a multi-party deception game, featuring six human players and one robot. The architecture is agnostic to the choice of hardware (e.g. microphones, cameras, etc.) and programming languages, although our implementation is mostly written in Python. In our use-case, different methods of capturing verbal and non-verbal cues from the participants were used. These were processed in real-time and used to inform the robot about the participants’ deceptive behaviour. The framework is of particular interest for researchers who are interested in the collection of multi-party, richly recorded corpora and the design of conversational systems. Moreover for researchers who are interested in human-robot interaction the available modules offer the possibility to easily create both autonomous and wizard-of-Oz interactions.
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)