Abstract
Immersive virtual reality has recently developed into a readily available system that allows for full-body tracking. Can this affordable system be used for component tracking to advance or replace expensive kinematic systems for motion analysis in the clinic? The aim of this study was to assess the accuracy of position and orientation measures from Vive wireless body trackers when compared to Vicon optoelectronic tracked markers attached to (1) a robot simulating trunk flexion and rotation by repeatedly moving to know locations, and (2) healthy adults playing virtual reality games necessitating significant trunk displacements. The comparison of both systems showed component tracking with Vive trackers is accurate within 0.68 ± 0.32 cm translationally and 1.64 ± 0.18° rotationally when compared with a three-dimensional motion capture system. No significant differences between Vive trackers and Vicon systems were found suggesting the Vive wireless sensors can be used to accurately track joint motion for clinical and research data.
Highlights
The last decade has witnessed a booming development in immersive virtual reality (VR) technology, where the user has the perception of being physically present in a non-physical environment
As a traditional method of motion tracking, Vicon has established an accuracy of 0.1 mm and 0.1° within a calibrated volume space. This analysis shows that HTC Vive trackers agree with Vicon motion tracking with an average error of 0.58 ± 0.89 m and 1.46 ± 0.62° for position and orientation respectively
As a traditional method of motion tracking, Vicon has established an accuracy of 0.1 mm and 0.1◦ within a calibrated volume space. This analysis shows that HTC Vive trackers agree with Vicon motion tracking with an average error of 0.58 ± 0.89 m and 1.46 ± 0.62◦ for position and orientation respectively
Summary
The last decade has witnessed a booming development in immersive virtual reality (VR) technology, where the user has the perception of being physically present in a non-physical environment. These alternative realities can be created by surrounding the user with computer-generated sensory perceptions stimulating vision (e.g., head-mounted displays [1], cave automatic virtual environments [2], etc.), hearing (e.g., virtual acoustics [3], binaural sounds [4], etc.), touch Such applications for patient care include the treatment of acute and chronic pain [14,15,16,17,18], specific phobias [19,20], and post-traumatic stress disorder [20,21]
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