Motion tracking

US9671121B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9671121-B2
Application numberUS-201414183747-A
CountryUS
Kind codeB2
Filing dateFeb 19, 2014
Priority dateFeb 19, 2014
Publication dateJun 6, 2017
Grant dateJun 6, 2017

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Apparatuses, methods, apparatuses and systems for tracking motion are disclosed. One method includes identifying a group of sensors that includes a plurality of neighboring sensors sensing motion greater than a threshold during a time interval, and tracking motion, comprising linking the group to at least one past group of at least one past time interval.

First claim

Opening claim text (preview).

What is claimed: 1. A method of tracking motion, comprising: sensing, by a plurality of sensors of a plurality of fixtures, motion; identifying, by a controller that receives sense information from the plurality of sensors, a group of sensors that includes a plurality of neighboring sensors sensing motion greater than a motion threshold during a time interval; tracking motion, by the controller, comprising: linking the group to at least one past group of at least one past time interval, wherein the at least one past group includes a group of sensors that sensed motion during the at least one past time interval; and confirming, by the controller, that the group originated from the at least one past group of the at least one past time interval, comprising confirming that the group is located within a common area as the at least one past group, and confirming that the group includes at least one neighboring sensors of the at least one past group; and controlling an environmental parameter of at least the common area based on the tracked motion. 2. The method of claim 1 , wherein tracked motion of the group includes at least one of the plurality of neighboring sensors within the group being different than a plurality of sensors of the at least one past group. 3. The method of claim 1 , wherein the group of sensors is a subset of a larger set of sensors, and further comprising obtaining location data of each of the larger set of sensors, thereby allowing a determination of which of the larger set of sensors are neighboring sensors. 4. The method of claim 1 , further comprising obtaining location data of obstructions located within the larger set of sensors. 5. The method of claim 4 , further comprising determining whether the group has a proper shape, comprising analyzing the plurality of sensors of the group to determine that locations of each of the sensors of the plurality of sensors indicates maintaining the sensor within the group. 6. The method of claim 5 , determining whether the group has a proper shape includes identifying whether the group includes inactive interior sensors. 7. The method of claim 1 , wherein identifying the group of sensors that includes the plurality of neighboring sensors sensing motion greater than the threshold during a time interval comprises identifying a sensor that senses motion greater than the threshold, and then searching identified neighboring sensors of the sensor that also sense motion greater than the motion threshold during the time interval. 8. The method of claim 7 , further comprising refining the group of sensors, comprising checking locations of each of the plurality of sensors of the group and comparing the locations within locations of known obstructions, and eliminating sensor of the group that cannot be included within the group due to the location of the obstruction. 9. The method of claim 7 , further refining the group of sensors, comprising determining whether the group is too large. 10. The method of claim 9 , wherein if the group is determined to be too large, then splitting the group into multiple groups or eliminating one or more sensors from the group. 11. The method of claim 9 , wherein if the group is split, determining whether one of more of multiple split groups should be combined with another group. 12. The method of claim 1 , wherein tracking motion of the group comprises matching the group of a current time interval with groups of prior time intervals to determine whether a trail of motion of the group is formed over a plurality of the time intervals. 13. The method of claim 1 , further comprising confirming that changes of the group are large enough to constitute motion of the group. 14. A method of tracking motion, comprising: sensing, by a plurality of sensors, motion; identifying, by a controller that receives sense information from the plurality of sensors, a group of sensors that includes a plurality of neighboring sensors sensing motion greater than a motion threshold during a time interval; tracking motion, by the controller, comprising: linking the group to at least one past group of at least one past time interval, wherein the at least one past group includes a group of sensors that sensed motion during the at least one past time interval; confirming, by the controller, that the group originated from the at least one past group of at least one past time interval, comprising confirming that the group is located within a common area as the at least one past group, confirming that the group includes at least one neighboring sensors that is a neighboring sensor of at least one sensor of the at least one past group; and controlling an environmental parameter of at least the common area based on the tracked motion. 15. The method of claim 14 , further comprising designating the group as a child of the at least one prior group upon confirmation of origination. 16. The method of claim 15 , further comprising evaluating all child groups of a prior group to determine which of the child groups provides a most likely trail of the prior group. 17. The method of claim 15 , further comprising ranking each of the child groups based on at least one of a number of shared sensors, a quantity of sensors within the child group, a direction of travel between the prior group and the child group, and selecting the child group with the highest rank as the most likely trail of the prior group. 18. A system for tracking motion, comprising: a plurality of sensors; a controller that receives sense information from the plurality of sensors, wherein the controller is operative to: identify a group of sensors that includes a plurality of neighboring sensors sensing motion greater than a threshold during a time interval; track motion of the group, comprising: linking the group to at least one past group of at least one past time interval; confirming that the group originated from the at least one past group of the at least one past time interval, comprising confirming that the group is located within a common area as the at least one past group, confirming that the group includes at least one neighboring sensors of the at least one past group; and control an environmental parameter of at least the common area based on the tracked motion. 19. The system of claim 18 , wherein tracked motion of the group includes at least one of the plurality of neighboring sensors within the group being different than a plurality of sensors of the at least one past group.

Assignees

Inventors

Classifications

  • Activity of occupants · CPC title

  • Occupancy · CPC title

  • F24F11/30Primary

    for purposes related to the operation of the system, e.g. for safety or monitoring · CPC title

  • Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00 · CPC title

  • G05B15/02Primary

    electric · CPC title

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Frequently asked questions

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What does patent US9671121B2 cover?
Apparatuses, methods, apparatuses and systems for tracking motion are disclosed. One method includes identifying a group of sensors that includes a plurality of neighboring sensors sensing motion greater than a threshold during a time interval, and tracking motion, comprising linking the group to at least one past group of at least one past time interval.
Who is the assignee on this patent?
Hyman Nick, Ericsson Bo E, Mohan Tanuj, and 1 more
What technology area does this patent fall under?
Primary CPC classification F24F11/30. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Jun 06 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).