Evaluation of the Intel RealSense T265 for tracking natural human head motion

Abstract Accurate and robust tracking of natural human head motion in natural environments is important for a number of applications including virtual and augmented reality, clinical diagnostics, as well as basic scientific research. IMU provide a versatile solution for recording inertial data inclu...

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Autores principales:	Peter Hausamann, Christian B. Sinnott, Martin Daumer, Paul R. MacNeilage
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8d4032da2e954a4ab826adc64ec04cec
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spelling	oai:doaj.org-article:8d4032da2e954a4ab826adc64ec04cec2021-12-02T17:23:16ZEvaluation of the Intel RealSense T265 for tracking natural human head motion10.1038/s41598-021-91861-52045-2322https://doaj.org/article/8d4032da2e954a4ab826adc64ec04cec2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91861-5https://doaj.org/toc/2045-2322Abstract Accurate and robust tracking of natural human head motion in natural environments is important for a number of applications including virtual and augmented reality, clinical diagnostics, as well as basic scientific research. IMU provide a versatile solution for recording inertial data including linear acceleration and angular velocity, but reconstructing head position is difficult or impossible. This problem can be solved by incorporating visual data using a technique known as visual-inertial simultaneous localization and mapping (VI-SLAM). A recently released commercial solution, the Intel RealSense T265, uses a proprietary VI-SLAM algorithm to estimate linear and angular position and velocity, but the performance of this device for tracking of natural human head motion in natural environments has not yet been comprehensively evaluated against gold-standard methods. In this study, we used a wide range of metrics to evaluate the performance of the T265 with different walking speeds in different environments, both indoor and outdoor, against two gold-standard methods, an optical tracking system and a so-called perambulator. Overall, we find that performance of the T265 relative to these gold-standard methods is most accurate for slow to normal walking speeds in small- to medium-sized environments. The suitability of this device for future scientific studies depends on the application; data presented here can be useful in making that determination.Peter HausamannChristian B. SinnottMartin DaumerPaul R. MacNeilageNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Peter Hausamann Christian B. Sinnott Martin Daumer Paul R. MacNeilage Evaluation of the Intel RealSense T265 for tracking natural human head motion
description	Abstract Accurate and robust tracking of natural human head motion in natural environments is important for a number of applications including virtual and augmented reality, clinical diagnostics, as well as basic scientific research. IMU provide a versatile solution for recording inertial data including linear acceleration and angular velocity, but reconstructing head position is difficult or impossible. This problem can be solved by incorporating visual data using a technique known as visual-inertial simultaneous localization and mapping (VI-SLAM). A recently released commercial solution, the Intel RealSense T265, uses a proprietary VI-SLAM algorithm to estimate linear and angular position and velocity, but the performance of this device for tracking of natural human head motion in natural environments has not yet been comprehensively evaluated against gold-standard methods. In this study, we used a wide range of metrics to evaluate the performance of the T265 with different walking speeds in different environments, both indoor and outdoor, against two gold-standard methods, an optical tracking system and a so-called perambulator. Overall, we find that performance of the T265 relative to these gold-standard methods is most accurate for slow to normal walking speeds in small- to medium-sized environments. The suitability of this device for future scientific studies depends on the application; data presented here can be useful in making that determination.
format	article
author	Peter Hausamann Christian B. Sinnott Martin Daumer Paul R. MacNeilage
author_facet	Peter Hausamann Christian B. Sinnott Martin Daumer Paul R. MacNeilage
author_sort	Peter Hausamann
title	Evaluation of the Intel RealSense T265 for tracking natural human head motion
title_short	Evaluation of the Intel RealSense T265 for tracking natural human head motion
title_full	Evaluation of the Intel RealSense T265 for tracking natural human head motion
title_fullStr	Evaluation of the Intel RealSense T265 for tracking natural human head motion
title_full_unstemmed	Evaluation of the Intel RealSense T265 for tracking natural human head motion
title_sort	evaluation of the intel realsense t265 for tracking natural human head motion
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8d4032da2e954a4ab826adc64ec04cec
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Evaluation of the Intel RealSense T265 for tracking natural human head motion

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