Enhanced location tracking in sensor fusion-assisted virtual reality micro-manipulation environments.

Bibliographic Details
Title:	Enhanced location tracking in sensor fusion-assisted virtual reality micro-manipulation environments.
Authors:	John David Prieto Prada, Jintaek Im, Hyondong Oh, Cheol Song
Source:	PLoS ONE, Vol 16, Iss 12, p e0261933 (2021)
Publisher Information:	Public Library of Science (PLoS), 2021.
Publication Year:	2021
Collection:	LCC:Medicine LCC:Science
Subject Terms:	Medicine, Science
More Details:	Virtual reality (VR) technology plays a significant role in many biomedical applications. These VR scenarios increase the valuable experience of tasks requiring great accuracy with human subjects. Unfortunately, commercial VR controllers have large positioning errors in a micro-manipulation task. Here, we propose a VR-based framework along with a sensor fusion algorithm to improve the microposition tracking performance of a microsurgical tool. To the best of our knowledge, this is the first application of Kalman filter in a millimeter scale VR environment, by using the position data between the VR controller and an inertial measuring device. This study builds and tests two cases: (1) without sensor fusion tracking and (2) location tracking with active sensor fusion. The static and dynamic experiments demonstrate that the Kalman filter can provide greater precision during micro-manipulation in small scale VR scenarios.
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	1932-6203
Relation:	https://doaj.org/toc/1932-6203
DOI:	10.1371/journal.pone.0261933
Access URL:	https://doaj.org/article/66729e2967dc48678bfedd2268578e77
Accession Number:	edsdoj.66729e2967dc48678bfedd2268578e77
Database:	Directory of Open Access Journals
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More Details
ISSN:	19326203
DOI:	10.1371/journal.pone.0261933
Published in:	PLoS ONE
Language:	English