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


ABSTRACT: 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.

SUBMITTER: Prieto Prada JD 

PROVIDER: S-EPMC8714085 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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

Prieto Prada John David JD   Im Jintaek J   Oh Hyondong H   Song Cheol C  

PloS one 20211228 12


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 appl  ...[more]

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