Virtual object categorisation methods: Towards a richer understanding of object grasping for virtual reality

Andreea Dalia Blaga; Maite Frutos-Pascual; Chris Creed; Ian Williams

doi:10.1145/3489849.3489875

Virtual object categorisation methods: Towards a richer understanding of object grasping for virtual reality

Andreea Dalia Blaga, Maite Frutos-Pascual, Chris Creed, Ian Williams

Birmingham City University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (SciVal)

Original language	English
Title of host publication	Proceedings - VRST 2021
Subtitle of host publication	27th ACM Symposium on Virtual Reality Software and Technology
Editors	Stephen N. Spencer
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450390927
DOIs	https://doi.org/10.1145/3489849.3489875
Publication status	Published (VoR) - 8 Dec 2021
Event	27th ACM Symposium on Virtual Reality Software and Technology, VRST 2021 - Virtual, Online, Japan Duration: 8 Dec 2021 → 10 Dec 2021

Publication series

Name	Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

Conference

Conference	27th ACM Symposium on Virtual Reality Software and Technology, VRST 2021
Country/Territory	Japan
City	Virtual, Online
Period	8/12/21 → 10/12/21

Keywords

Grasping
Interaction
Object Categorisation
Virtual Reality

Access to Document

10.1145/3489849.3489875

Cite this

Blaga, A. D., Frutos-Pascual, M., Creed, C., & Williams, I. (2021). Virtual object categorisation methods: Towards a richer understanding of object grasping for virtual reality. In S. N. Spencer (Ed.), Proceedings - VRST 2021: 27th ACM Symposium on Virtual Reality Software and Technology Article 43 (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST). Association for Computing Machinery. https://doi.org/10.1145/3489849.3489875

Blaga, Andreea Dalia ; Frutos-Pascual, Maite ; Creed, Chris et al. / Virtual object categorisation methods : Towards a richer understanding of object grasping for virtual reality. Proceedings - VRST 2021: 27th ACM Symposium on Virtual Reality Software and Technology. editor / Stephen N. Spencer. Association for Computing Machinery, 2021. (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST).

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title = "Virtual object categorisation methods: Towards a richer understanding of object grasping for virtual reality",

keywords = "Grasping, Interaction, Object Categorisation, Virtual Reality",

author = "Blaga, {Andreea Dalia} and Maite Frutos-Pascual and Chris Creed and Ian Williams",

note = "Publisher Copyright: {\textcopyright} 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 27th ACM Symposium on Virtual Reality Software and Technology, VRST 2021 ; Conference date: 08-12-2021 Through 10-12-2021",

year = "2021",

month = dec,

day = "8",

doi = "10.1145/3489849.3489875",

language = "English",

series = "Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST",

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Blaga, AD, Frutos-Pascual, M , Creed, C & Williams, I 2021, Virtual object categorisation methods: Towards a richer understanding of object grasping for virtual reality. in SN Spencer (ed.), Proceedings - VRST 2021: 27th ACM Symposium on Virtual Reality Software and Technology., 43, Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST, Association for Computing Machinery, 27th ACM Symposium on Virtual Reality Software and Technology, VRST 2021, Virtual, Online, Japan, 8/12/21. https://doi.org/10.1145/3489849.3489875

Virtual object categorisation methods: Towards a richer understanding of object grasping for virtual reality. / Blaga, Andreea Dalia; Frutos-Pascual, Maite ; Creed, Chris et al.
Proceedings - VRST 2021: 27th ACM Symposium on Virtual Reality Software and Technology. ed. / Stephen N. Spencer. Association for Computing Machinery, 2021. 43 (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Virtual object categorisation methods

T2 - 27th ACM Symposium on Virtual Reality Software and Technology, VRST 2021

AU - Blaga, Andreea Dalia

AU - Frutos-Pascual, Maite

AU - Creed, Chris

AU - Williams, Ian

PY - 2021/12/8

Y1 - 2021/12/8

KW - Grasping

KW - Interaction

KW - Object Categorisation

KW - Virtual Reality

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DO - 10.1145/3489849.3489875

M3 - Conference contribution

AN - SCOPUS:85121450306

T3 - Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

BT - Proceedings - VRST 2021

A2 - Spencer, Stephen N.

PB - Association for Computing Machinery

Y2 - 8 December 2021 through 10 December 2021

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Blaga AD, Frutos-Pascual M , Creed C , Williams I. Virtual object categorisation methods: Towards a richer understanding of object grasping for virtual reality. In Spencer SN, editor, Proceedings - VRST 2021: 27th ACM Symposium on Virtual Reality Software and Technology. Association for Computing Machinery. 2021. 43. (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST). doi: 10.1145/3489849.3489875

Virtual object categorisation methods: Towards a richer understanding of object grasping for virtual reality

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Keywords

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