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

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. He...

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Vydané v:PloS one Ročník 16; číslo 12; s. e0261933
Hlavní autori: Prieto Prada, John David, Im, Jintaek, Oh, Hyondong, Song, Cheol
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 28.12.2021
Public Library of Science (PLoS)
Predmet:
Accuracy
Adult
Algorithms
Analysis
Biomedical materials
Computer and Information Sciences
Computer applications
Computers
Engineering
Engineering and Technology
Equipment Design
Evaluation
Experiments
Female
Humans
Kalman filters
Male
Man-Machine Systems
Measuring instruments
Medical research
Medicine and Health Sciences
Micromanipulation
Movement
Noise
Physical Sciences
Position measurement
Reproducibility of Results
Research and Analysis Methods
Robotics
Sensors
Software
Tracking
User-Computer Interface
Virtual environments
Virtual Reality
South Korea
ISSN:1932-6203, 1932-6203
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Popis
Shrnutí: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.
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SourceType-Scholarly Journals-1
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0261933