Open Research will be updating the system on Tuesday, 14 July 2026, from 8:15 to 9:00 AM. We apologise for any inconvenience caused.

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

HDGI: A Human Device Gesture Interaction Ontology for the Internet of Things

Loading...
Thumbnail Image

Date

Authors

Perera, Madhawa
Haller, Armin
Rodríguez Méndez, Sergio
Adcock, Matt

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

Gesture-controlled interfaces are becoming increasingly popular with the growing use of Internet of Things (IoT) systems. In particular, in automobiles, smart homes, computer games and Augmented Reality (AR)/Virtual Reality (VR) applications, gestures have become prevalent due to their accessibility to everyone. Designers, producers, and vendors integrating gesture interfaces into their products have also increased in numbers, giving rise to a greater variation of standards in utilizing them. This variety can confuse a user who is accustomed to a set of conventional controls and has their own preferences. The only option for a user is to adjust to the system even when the provided gestures are not intuitive and contrary to a user's expectations. This paper addresses the problem of the absence of a systematic analysis and description of gestures and develops an ontology which formally describes gestures used in Human Device Interactions (HDI). The presented ontology is based on Semantic Web standards (RDF, RDFS and OWL2). It is capable of describing a human gesture semantically, along with relevant mappings to affordances and user/device contexts, in an extensible way.

Description

Citation

Source

Proceedings of the 19th International Semantic Web Conference on Demos and Industry Tracks (ISWC)

Book Title

Entity type

Access Statement

License Rights

Restricted until

2099-12-31

Downloads

abcd