Graph Convolutional Networks Skeleton-based Action Recognition for Continuous Data Stream: A Sliding Window Approach

Mickael Delamare; Cyril Laville; Adnane Cabani; Houcine Chafouk

doi:10.5220/0010234904270435

Conference papers

Graph Convolutional Networks Skeleton-based Action Recognition for Continuous Data Stream: A Sliding Window Approach

Mickael Delamare Cyril Laville Adnane Cabani Houcine Chafouk ^{1, 2, 3}

1 ESIGELEC - École Supérieure d’Ingénieurs en Génie Électrique

2 IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués

3 Pôle Automatique et Systèmes

IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Automatic

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https://hal-normandie-univ.archives-ouvertes.fr/hal-03181094
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Submitted on : Thursday, March 25, 2021 - 1:59:46 PM
Last modification on : Thursday, March 10, 2022 - 10:46:02 AM

Graph Convolutional Networks Skeleton-based Action Recognition for Continuous Data Stream: A Sliding Window Approach

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Graph Convolutional Networks Skeleton-based Action Recognition for Continuous Data Stream: A Sliding Window Approach

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