Observational studyScientific reports2021
Evaluation of the Intel RealSense T265 for tracking natural human head motion.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 32 citations in OpenAlex.
- Exploring the proprioceptive potential of joint receptors using a biomimetic robotic joint.Scientific reports · 2026Article
- Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies.Sensors (Basel, Switzerland) · 2025Review
- Commercial vision sensors and AI-based pose estimation frameworks for markerless motion analysis in sports and exercises: a mini review.Frontiers in physiology · 2025Review
- The visual experience dataset: Over 200 recorded hours of integrated eye movement, odometry, and egocentric video.Journal of vision · 2024Article
- Development of a Low-Cost Markerless Optical Motion Capture System for Gait Analysis and Anthropometric Parameter Quantification.Sensors (Basel, Switzerland) · 2024Article
- High-fidelity eye, head, body, and world tracking with a wearable device.Behavior research methods · 2024Article
- Fusion localization for indoor airplane inspection using visual inertial odometry and ultrasonic RTLS.Scientific reports · 2023Article
- Visual inertial odometry enabled 3D ultrasound and photoacoustic imaging.Biomedical optics express · 2023Article
- Natural statistics of human head orientation constrain models of vestibular processing.Scientific reports · 2023Article
- Natural statistics of human head orientation constrain models of vestibular processing.Research square · 2023Article
- Meaningful Test and Evaluation of Indoor Localization Systems in Semi-Controlled Environments.Sensors (Basel, Switzerland) · 2022Article
- Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.Frontiers in human neuroscience · 2022Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.