Evidence map›Paper›PMID 40006293›Full record

ArticleSensors (Basel, Switzerland)2025

Loka: A Cross-Platform Virtual Reality Streaming Framework for the Metaverse.

Hsiao-Wen Kao, Yan-Cyuan Chen, Eric Hsiao-Kuang Wu, Shih-Ching Yeh, Shih-Chun Kao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hsiao-Wen KaoDepartment of Computer Science and Information Engineering, National Central University, Taoyuan 320317, Taiwan.ORCID 0000-0002-2980-5123
Yan-Cyuan ChenDepartment of Computer Science and Information Engineering, National Central University, Taoyuan 320317, Taiwan.
Eric Hsiao-Kuang WuDepartment of Computer Science and Information Engineering, National Central University, Taoyuan 320317, Taiwan.ORCID 0000-0002-1767-2773
Shih-Ching YehDepartment of Computer Science and Information Engineering, National Central University, Taoyuan 320317, Taiwan.ORCID 0000-0002-4096-6155
Shih-Chun KaoDepartment of Health and Kinesiology, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-8880-0851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the concept of the Metaverse evolves, virtual reality (VR) plays a pivotal role in creating immersive, socially interactive environments that form the backbone of this interconnected digital universe. However, VR technology often faces significant challenges, including hardware limitations, platform incompatibilities, and difficulties supporting seamless multiplayer experiences. VR streaming offers a potential solution by offloading computational tasks to remote servers, enabling high-quality VR experiences on lower-end devices and enhancing accessibility to a broader audience. In this paper, we present Loka, a versatile and extensible VR streaming framework designed to address these challenges, providing the necessary infrastructure to support social interactions and real-time collaboration in virtual environments-the key components of the Metaverse. Loka is built on Unity Engine and WebRTC, enabling seamless cross-platform VR experiences without the need for device-specific SDKs. It also supports real-time integration of custom sensory data streams, such as motion capture and physiological signals from IoT devices, which can enhance user interaction and personalization in virtual environments, as well as provide a more convenient accessible platform for research. Furthermore, Loka's native multiplayer and multicasting capabilities facilitate collaborative and interactive social experiences, aligning with the core goals of the Metaverse. By leveraging cloud-based rendering with low-latency streaming, Loka allows users to engage in immersive VR environments on a wide range of devices, without requiring high-end hardware. Its modular architecture ensures extensibility, allowing researchers and developers to integrate new data types and experimental setups more easily. With its ability to set up immersive VR scenes to support social interaction and handle complex virtual environments, we believe the proposed work can be leveraged to foster the development and research of the Metaverse.

Indexed as

cloud renderinginternet of thingsMetaversevirtual reality

Identifiers

PMID40006293
PMCPMC11859171

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.