Ontological Context for Gesture Interpretation

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Ontological Context for Gesture Interpretation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Ontological Context for Gesture Interpretation

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

<a href="/cs/project/GA21-31000S" target="_blank" >GA21-31000S: Multimodální reprezentace robotických akcí aplikovaná v učení pomocí demonstrací</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

Počet stran výsledku

10

Strana od-do

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Název nakladatele

CEUR Workshop Proceedings

Místo vydání

Aachen

Místo konání akce

Busan

Datum konání akce

28. 8. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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