Apparatus and method for calculating energy consumption based on three-dimensional motion tracking

US9613260B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9613260-B2
Application numberUS-201514739946-A
CountryUS
Kind codeB2
Filing dateJun 15, 2015
Priority dateSep 21, 2011
Publication dateApr 4, 2017
Grant dateApr 4, 2017

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Abstract

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An apparatus and method calculate an energy consumption based on 3D motion tracking. The method includes setting at least one specific portion of an analysis target as a reference point, analyzing the reference point before and after the lapse of a predetermined time, and determining an energy consumption of the analysis target on the basis of the analyzed reference point.

First claim

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What is claimed is: 1. A method for calculating an energy consumption as a function of three-dimensional (3D) motion tracking, comprising: obtaining a weight and a height of a body comprising a plurality of body segments, each body segment connected with a reference point; obtaining volumetric weights of each body segment as a function of a body segment factor, a weight factor, and a height factor; selecting at least one body segment of the plurality of body segments as an analysis target; calculating a motion quantity of the analysis target as a function of each volumetric weight of the selected at least one body segment by an amount of a movement of a respective reference point of the analysis target using a 3D vector to analyze the reference point; and determining an energy consumption of the analysis target on a basis of the motion quantity, wherein the weight factor is calculated as a function of a first variable of the body segment and the weight, and wherein the height factor is calculated as a function of a second variable of the body segment and the height. 2. The method of claim 1 , wherein the reference point includes at least one joint of a body region of the analysis target. 3. The method of claim 1 , wherein the 3D vector is acquired by a method of structured light coding or a method of pulsed time of flight. 4. The method of claim 1 , wherein the movement of the respective reference point of the analysis target includes at least one of a moving distance and a rotation angle. 5. The method of claim 1 , further comprising: determining a moving speed of the analysis target on the basis of the reference point. 6. The method of claim 1 , wherein the energy consumption of the analysis target is determined by 3D optic module technology. 7. An apparatus for calculating an energy consumption as a function of three-dimensional (3D) motion tracking, comprising a processor configured to: obtain a weight and a height of a body comprising a plurality of body segments, each body segment connected with a reference point; obtain volumetric weights of each body segment as a function of a body segment factor, a weight factor, and a height factor; select at least one body segment of the plurality of body segments as an analysis target; track a trajectory of the reference point before and after a lapse of a predetermined time; calculate a motion quantity of the analysis target as a function of each volumetric weight of the selected at least one body segment by an amount of a movement of a respective reference point of the analysis target using a 3D vector to analyze the reference point; and determine an energy consumption of the analysis target on a basis of the reference point, wherein the weight factor is calculated as a function of a first variable of the body segment and the weight, and wherein the height factor is calculated as a function of a second variable of the body segment and the height. 8. The apparatus of claim 7 , wherein the reference point includes at least one joint of a body region of the analysis target. 9. The apparatus of claim 7 , wherein the processor is configured to compare and analyze the reference point before the motion of the analysis target and the reference point after the lapse of a predetermined time using a 3D vector. 10. The apparatus of claim 9 , wherein the movement of the respective reference point of the analysis target includes at least one of a moving distance and a rotation angle. 11. The apparatus of claim 7 , wherein the processor is configured to determine a speed and distance of the analysis target on the basis of the reference point. 12. The apparatus of claim 7 , wherein the processor is configured to use 3D optic module technology, and the apparatus further comprises: a 3D optic module configured to recognize an object in a 3D manner; and a storage unit configured to store calorie accumulation information calculated in real time. 13. A system for calculating an energy consumption as a function of three-dimensional (3D) motion tracking, comprising: a processor configured to: obtain a weight and a height of a body comprising a plurality of body segments, each body segment connected with a reference point; obtain volumetric weights of each body segment as a function of a body segment factor, a weight factor, and a height factor; select at least one body segment of the plurality of body segments as an analysis target, and analyze the reference point before and after a lapse of a predetermined time; calculate a motion quantity of the analysis target as a function of each volumetric weight of the selected at least one body segment by an amount of a movement of a respective reference point of the analysis target using a 3D vector; and determine an energy consumption of the analysis target on a basis of the motion quantity; and a 3D optic sensor configured to recognize the analysis target in a 3D manner, wherein the weight factor is calculated as a function of a first variable of the body segment and the weight, and wherein the height factor is calculated as a function of a second variable of the body segment and the height. 14. The system of claim 13 , wherein the reference point includes at least one joint of a body region of the analysis target. 15. The system of claim 13 , wherein the processor is configured to compare and analyze the reference point before the motion of the analysis target and after the lapse of the predetermined time using a 3D vector. 16. The system of claim 15 , wherein the movement of the respective reference point of the analysis target includes at least one of a moving distance and a rotation angle. 17. The system of claim 13 , wherein the processor is configured to determine the speed and distance information of the analysis target on the basis of the reference point. 18. The system of claim 13 , wherein the processor is configured to use 3D optic module technology. 19. The system of claim 13 , the system further comprising: a storage unit configured to store calorie accumulation information calculated in real time. 20. The system of claim 13 , wherein the processor comprises a control unit of the system.

Assignees

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Classifications

  • Joints (A61B5/4533, A61B5/4538 take precedence) · CPC title

  • Medical imaging apparatus involving image processing or analysis (A61B1/00009, A61B6/52 and A61B8/52 take precedence) · CPC title

  • Special features of memory means, e.g. removable memory cards · CPC title

  • Measuring volume, e.g. of limbs · CPC title

  • using light, e.g. diagnosis by transillumination, diascopy, fluorescence (photoacoustic A61B5/0093; optical measurement of heart rate A61B5/02416; optical measurement of blood flow A61B5/0261; optical measurement of analytes A61B5/1455) · CPC title

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What does patent US9613260B2 cover?
An apparatus and method calculate an energy consumption based on 3D motion tracking. The method includes setting at least one specific portion of an analysis target as a reference point, analyzing the reference point before and after the lapse of a predetermined time, and determining an energy consumption of the analysis target on the basis of the analyzed reference point.
Who is the assignee on this patent?
Samsung Electronics Co Ltd
What technology area does this patent fall under?
Primary CPC classification A61B5/1118. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Apr 04 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 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).