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Learning and Mining Player Motion Profiles in Physically Interactive Robogames

Learning and Mining Player Motion Profiles in Physically Interactive Robogames

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a10b0715d04e41bcaab85f1fec735336

Learning and Mining Player Motion Profiles in Physically Interactive Robogames

About this item

Full title

Learning and Mining Player Motion Profiles in Physically Interactive Robogames

Publisher

Basel: MDPI AG

Journal title

Future internet, 2018-02, Vol.10 (3), p.22

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Physically-Interactive RoboGames (PIRG) are an emerging application whose aim is to develop robotic agents able to interact and engage humans in a game situation. In this framework, learning a model of players’ activity is relevant both to understand their engagement, as well as to understand specific strategies they adopted, which in turn can fost...

Alternative Titles

Full title

Learning and Mining Player Motion Profiles in Physically Interactive Robogames

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a10b0715d04e41bcaab85f1fec735336

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a10b0715d04e41bcaab85f1fec735336

Other Identifiers

ISSN

1999-5903

E-ISSN

1999-5903

DOI

10.3390/fi10030022

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