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Journal ArticleDOI

Pedestrian tracking with shoe-mounted inertial sensors

Eric Foxlin
- 01 Nov 2005 - 
- Vol. 25, Iss: 6, pp 38-46
TLDR
The NavShoe device provides not only robust approximate position, but also an extremely accurate orientation tracker on the foot, which can greatly reduce the database search space for computer vision, making it much simpler and more robust.
Abstract
A navigation system that tracks the location of a person on foot is useful for finding and rescuing firefighters or other emergency first responders, or for location-aware computing, personal navigation assistance, mobile 3D audio, and mixed or augmented reality applications. One of the main obstacles to the real-world deployment of location-sensitive wearable computing, including mixed reality (MR), is that current position-tracking technologies require an instrumented, marked, or premapped environment. At InterSense, we've developed a system called NavShoe, which uses a new approach to position tracking based on inertial sensing. Our wireless inertial sensor is small enough to easily tuck into the shoelaces, and sufficiently low power to run all day on a small battery. Although it can't be used alone for precise registration of close-range objects, in outdoor applications augmenting distant objects, a user would barely notice the NavShoe's meter-level error combined with any error in the head's assumed location relative to the foot. NavShoe can greatly reduce the database search space for computer vision, making it much simpler and more robust. The NavShoe device provides not only robust approximate position, but also an extremely accurate orientation tracker on the foot.

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Citations
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Journal ArticleDOI

Predictive Adaptive Kalman Filter and Its Application to INS/UWB-integrated Human Localization with Missing UWB-based Measurements

TL;DR: The predictive adaptive Kalman filter (PAKF) for the tightly-coupled INS/UWB-integrated human tracking model with missing data of the UWB-measured distance will be designed, which considers the missing data and employs the predictive UWBs distance.
Journal ArticleDOI

Sensor data integration for indoor human tracking

TL;DR: A human tracking system based on the integration of the measurements from an inertial motion capture system and a UWB (Ultra-Wide Band) location system has been developed to obtain a precise global localization of the human in the environment.
Journal ArticleDOI

An Anchor-Based Pedestrian Navigation Approach Using Only Inertial Sensors

TL;DR: This paper proposes an anchor-based pedestrian navigation approach without any additional sensors, using a Rao-Blackwellized particle filter to solve the joint estimation of positions (trajectory) and maps (anchors) problem.
Journal ArticleDOI

Integration of GPS and low cost INS for pedestrian navigation aided by building layout

TL;DR: A novel algorithm is developed to mitigate the heading drift problem when using ZUPT, allowing pedestrian navigation for nearly40 min with mean position error less than 2.8 m.
Proceedings ArticleDOI

A fuzzy multi-sensor architecture for indoor navigation

TL;DR: Simulation results based on the proposed architecture have shown better navigation effectiveness and lower positioning error compared with the used stand alone navigation systems.
References
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Proceedings ArticleDOI

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Proceedings ArticleDOI

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Proceedings ArticleDOI

Personal position measurement using dead reckoning

TL;DR: This paper compares position measurement techniques using dead reckoning, and has compared a number of sensors that can be used to achieve a robust and accurate dead reckoning system.

A Personal Dead Reckoning Module

Thomas Judd
TL;DR: Point Research Corporation of Santa Ana, CA has developed a new lightweight miniature Dead Reckoning Module (DRM) for drift-free navigation by personnel on foot as discussed by the authors, which is protected under U.S. patent number 5,583,776.
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