Intelligent motion capture element

US9633254B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9633254-B2
Application numberUS-201615006065-A
CountryUS
Kind codeB2
Filing dateJan 25, 2016
Priority dateAug 26, 2010
Publication dateApr 25, 2017
Grant dateApr 25, 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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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Intelligent motion capture element that includes sensor personalities that optimize the sensor for specific movements and/or pieces of equipment and/or clothing and may be retrofitted onto existing equipment or interchanged therebetween and automatically detected for example to switch personalities. May be used for low power applications and accurate data capture for use in healthcare compliance, sporting, gaming, military, virtual reality, industrial, retail loss tracking, security, baby and elderly monitoring and other applications for example obtained from a motion capture element and relayed to a database via a mobile phone. System obtains data from motion capture elements, analyzes data and stores data in database for use in these applications and/or data mining. Enables unique displays associated with the user, such as 3D overlays onto images of the user to visually depict the captured motion data. Enables performance related equipment fitting and purchase. Includes active and passive identifier capabilities.

First claim

Opening claim text (preview).

What is claimed is: 1. A motion capture element comprising: a memory; a sensor configured to capture one or more values associated with an orientation, position, velocity, acceleration, angular velocity, proximity, pressure or strain of said at least one motion capture element; a first communication interface; a microcontroller coupled with said memory, said sensor and said first communication interface wherein said microcontroller is configured to collect data that comprises sensor values from said sensor; store said data in said memory; transmit said data via said first communication interface; and, measure linear acceleration during a low acceleration time window for at least two axes of the sensor; compare differences in linear acceleration in the low acceleration time window; recalibrate said sensor during a period of time when said sensor is motionless or when said sensor detects that motion is below a motion threshold value during said low acceleration time window. 2. The motion capture element of claim 1 wherein said microcontroller is further configured to estimate an initial orientation based on motion capture data from two points in time wherein said estimate comprises a calculation of an orientation transform matrix Q ι of the sensor with respect to a world reference frame through integration of u(t)=∫ p t Ps p dt wherein Q 0 u(t)=−gt when said motion capture data at said two points in time comprises estimated velocities that are approximately zero. 3. The motion capture element of claim 1 wherein said microcontroller is further configured to alter a sampling rate of said sensor based on said sensor values obtained from said sensor to maintain accuracy of said sensor values. 4. The motion capture element of claim 1 wherein said microcontroller is further configured to detect a first value from said sensor values having a first threshold value and detect a second value from said sensor values having a second threshold value within a time window; signify a prospective event; compare said prospective event to a characteristic signal associated with a typical event and eliminate any false positive events; signify a valid event if said prospective event is not a false positive event; save said valid event in said memory comprises information within an event time window as said data. 5. The motion capture element of claim 4 wherein said microcontroller is further configured to transmit said valid event as said data after said valid event is detected wherein said data is transmitted on an event-by-event basis or periodically or when requested by a computer. 6. The motion capture element of claim 1 wherein said microcontroller is further configured to store said data in memory at least until a communications link to a computer exists and said data has been transferred to said computer. 7. The motion capture element of claim 1 wherein said microcontroller is further configured to power off if no motion is detected for a predefined time or power on when motion is detected or both. 8. The motion capture element of claim 1 wherein said microcontroller is further configured to power on when motion is detected via said sensor or wherein said microcontroller is coupled with a passive motion detector that requires no power and wherein said microcontroller is further configured to power on when said passive motion detector that requires no power detects said motion. 9. The motion capture element of claim 1 wherein said microcontroller is further configured to download new firmware, check the new firmware and if the new firmware is valid, execute the new firmware and wherein said download is configured to utilize a universally unique identifier to pair said microcontroller to another computer. 10. The motion capture element of claim 1 further comprising a visual marker. 11. The motion capture element of claim 1 further comprising a battery and a mechanical charger wherein said battery is coupled with said microcontroller and wherein said battery is further coupled with said mechanical charger. 12. The motion capture element of claim 1 wherein said transmit of said data is configured to transmit said data to an alarm to turn said alarm off. 13. The motion capture element of claim 1 wherein said motion capture element is configured to couple with a piece of sporting equipment having an integrated mount or wherein said motion capture element is configured to couple with a mount that is removable from said piece of sporting equipment. 14. The motion capture element of claim 1 wherein said motion capture element is configured to reside within a SIM card. 15. The motion capture element of claim 1 wherein said motion capture element is configured to transmit the data to a mobile device that comprises an application configured to blend at least two trajectories in said data to form a more accurate single trajectory. 16. The motion capture element of claim 1 wherein said motion capture element is configured to output a motion gesture or circle gesture or number of taps gesture to enable the motion capture element to signify that particular motion capture element that is to be communicated with instead of one or more other motion capture elements within the vicinity of the mobile device. 17. The motion capture element of claim 1 wherein said motion capture element further comprises an output display for local viewing of motion capture data. 18. The motion capture element of claim 1 wherein said microcontroller is further configured to recalibrate said sensor through measurement of changes in linear acceleration during said period of time when said sensor is motionless or when said sensor detects that motion is below a motion threshold value; computation of an average of the linear acceleration along each axis; computation of an average magnitude of the linear acceleration g m ; comparison of g m to g wherein g is 9.8 m/sec 2 ; calculation of a scaling factor s=g/g m ; multiplication of a calibration matrix by the scaling factor if a difference between g and g m exceeds a predefined threshold. 19. The motion capture element of claim 1 wherein said microcontroller is further configured to determine a type of equipment or clothing said sensor is coupled with, and based on said type of equipment or clothing, set a sensor personality to utilize dynamically, and based on said sensor personality selected from a plurality of sensor personalities, control sensor settings to collect the data in an optimal manner with respect to a specific type of movement associated with said type of equipment or clothing. 20. The motion capture element of claim 19 wherein said motion capture element is configured to decouple from a first mount on a first piece of equipment or clothing and couple with a second mount on a different type of second piece of equipment or clothing and automatically utilize a different sensor personality associated with said second piece of equipment or clothing. 21. The motion capture element of claim 1 wherein said microcontroller is further configured to determine a type of movement said sensor has sampled, and based on said type of movement, set a sensor personality to utilize dynamically, and based on said sensor personality selected from a plurality of sensor personalities, control sensor settings to collect the data in an optimal manner with respect to said type of movement. 22. The motion capture element of claim 1 whe

Assignees

Inventors

Classifications

  • Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast · CPC title

  • using inertial sensors, e.g. accelerometers or gyroscopes · CPC title

  • Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis · CPC title

  • including a sensor for measuring a physical value, e.g. temperature or motion · CPC title

  • using sensors worn by the player, e.g. for measuring heart beat or leg activity · CPC title

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What does patent US9633254B2 cover?
Intelligent motion capture element that includes sensor personalities that optimize the sensor for specific movements and/or pieces of equipment and/or clothing and may be retrofitted onto existing equipment or interchanged therebetween and automatically detected for example to switch personalities. May be used for low power applications and accurate data capture for use in healthcare complianc…
Who is the assignee on this patent?
Blast Motion Inc
What technology area does this patent fall under?
Primary CPC classification G06Q10/0833. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 25 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 9 related publications on this page (citations in our corpus or others sharing the same primary CPC).