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US Patent 7236091 Position-tracking system

Patent 7236091 was granted and assigned to PINC Solutions on June, 2007 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
PINC Solutions
PINC Solutions
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
72360910
Patent Inventor Names
Aleks Göllü0
Meng-Hsiung Kiang0
Date of Patent
June 26, 2007
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Patent Application Number
110548810
Date Filed
February 10, 2005
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Patent Citations Received
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US Patent 11774249 System and method of personalized navigation inside a business enterprise
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US Patent 11961279 Machine-learning-assisted self-improving object-identification system and method
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US Patent 11983663 Video for real-time confirmation in package tracking systems
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US Patent 12008513 System and method of object tracking using weight confirmation
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US Patent 12000947 Tracking system with mobile reader
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US Patent 12008514 Package tracking systems and methods
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US Patent 12079006 Spatial diversity for relative position tracking
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US Patent 12066561 Position tracking system and method using radio signals and inertial sensing
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...
Patent Primary Examiner
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Daryl C Pope
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Patent abstract

A position-tracking system for tracking the position of an object is disclosed. According to various embodiments, the tracking system includes a tracking device that is connected to or otherwise affixed to the object to be tracked. The tracking device may include, among other things, an inertial sensor assembly, radio transceivers and a processor. The position tracking system may also include a host processing system that is in communication with the tracking device. The position tracking system may provide variable-resolution position information based on the environment in which the object is moving. In a “wide resolution” area, the system may compute a general position for the object based on a wireless telephone network Cell-ID/map correlation architecture. In a high-resolution area, greater position resolution may be realized from the combination of a wireless aiding system and inputs from the inertial sensors. In the high-resolution mode, the system may exploit distinct patterns of motion that can be identified as motion “signatures” that are characteristic of certain types of motion. Kinematic (or object movement) models may be constructed based on these motion signatures and the position tracking system may estimate the state of the object based on the kinematic model for the current mode of the object. Adaptive and cascaded Kalman filtering may be employed in the analysis to more accurately estimate the position and velocity of the object based on the motion pattern identified.

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