Ontological Context for Gesture Interpretation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00372289" target="_blank" >RIV/68407700:21730/23:00372289 - isvavai.cz</a>

Result on the web

<a href="https://ceur-ws.org/Vol-3595/paper10.pdf" target="_blank" >https://ceur-ws.org/Vol-3595/paper10.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Ontological Context for Gesture Interpretation

Original language description

This study explores gesture interpretation by utilizing an ontological context. The aim is to store gestures and scene context data in an ontology and use its knowledge graph to actuate the robot arm to perform sets of manipulation tasks used in various environments. The knowledge graph captures the relationships between gestures, objects in the scene, and the desired actions. By putting the ontological context into use, the system can understand the meaning behind the gestures and execute the appropriate actions. The paper focuses on the development of the ontology, including the creation of class properties and the embedding of gestures within the ontology. Additionally, the paper explores how the integration of specifying context interpretation from the ontology may look to enhance the interpretation of gestures. The proposed approach aims to provide more intuitive and adaptive gesture-based supervisory control of robots in general. We tested the proposed ontological system in several tests so that it may be used in our future applications.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA21-31000S" target="_blank" >GA21-31000S: Multimodal representation of robotic actions and tasks applied to Learning by demonstration</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the Workshop on Ontologies for Autonomous Robotics co-located with The 32nd IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2023)

ISBN

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ISSN

1613-0073

e-ISSN

1613-0073

Number of pages

10

Pages from-to

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Publisher name

CEUR Workshop Proceedings

Place of publication

Aachen

Event location

Busan

Event date

Aug 28, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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