Trx Systems, Inc.

Ruchika Verma

Carole Teolis

Benjamin E Funk

Jared Napora

Kamiar Kordari

Amrit Bandyopadhyay

Travis Young

Benjamin Funk

A method for detecting a human's steps and estimating the horizontal translation direction and scaling of the resulting motion relative to an inertial sensor is described. When a pedestrian takes a sequence of steps the displacement can be decomposed into a sequence of rotations and translations over each step. A translation is the change in the location of pedestrian's center of mass and a rotation is the change along z-axis of the pedestrian's orientation. A translation can be described by a vector and a rotation by an angle.

Method for step detection and gait direction estimation

A system and method for recognizing features for location correction in Simultaneous Localization And Mapping operations, thus facilitating longer duration navigation, is provided. The system may detect features from magnetic, inertial, GPS, light sensors, and/or other sensors that can be associated with a location and recognized when revisited. Feature detection may be implemented on a generally portable tracking system, which may facilitate the use of higher sample rate data for more precise localization of features, improved tracking when network communications are unavailable, and improved ability of the tracking system to act as a smart standalone positioning system to provide rich input to higher level navigation algorithms/systems. The system may detect a transition from structured (such as indoors, in caves, etc.) to unstructured (such as outdoor) environments and from pedestrian motion to travel in a vehicle. The system may include an integrated self-tracking unit that can localize and self-correct such localizations.

System and method for localizing a trackee at a location and mapping the location using signal-based features

System and method for localizing a trackee at a location and mapping the location using transitions

System and method for localizing a trackee at a location and mapping the location using inertial sensor information

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Bethesda, MD, United States of America

Ruchika Verma