Babis Koniaris
DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences
Koniaris, Babis; Sinclair, David; Mitchell, Kenny
Authors
David Sinclair D.Sinclair@napier.ac.uk
Research Assistant
Prof Kenny Mitchell K.Mitchell2@napier.ac.uk
Professor
Abstract
DanceMark is an open telemetry framework designed for latency-sensitive real-time networked immersive experiences, focusing on online dancing in virtual reality within the DanceGraph platform. The goal is to minimize end-to-end latency and enhance user experience, particularly crucial in partnered dancing scenarios where synchronized movements are integral. DanceMark supports experimentation addressing latency issues through direct sensor-to-display paths and real-time dance prediction correctives through offline analysis and online adaptive responses to live captured session data
Citation
Koniaris, B., Sinclair, D., & Mitchell, K. (2024, March). DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences. Presented at IEEE VR Workshop on Open Access Tools and Libraries for Virtual Reality, Orlando, FL
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | IEEE VR Workshop on Open Access Tools and Libraries for Virtual Reality |
Start Date | Mar 16, 2024 |
End Date | Mar 17, 2024 |
Acceptance Date | Jan 21, 2024 |
Online Publication Date | May 29, 2024 |
Publication Date | 2024 |
Deposit Date | Jan 25, 2024 |
Publicly Available Date | May 29, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Series Title | IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) |
Book Title | 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) |
Public URL | http://researchrepository.napier.ac.uk/Output/3492930 |
Publisher URL | ieeeexplore.ieee.org/xpl/conhome/1836626/all-proceedings |
Files
DanceMark: An Open Telemetry Framework For Latency Sensitive Real-time Networked Immersive Experiences (accepted version)
(1.7 Mb)
PDF
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