Method for the target recognition of target objects

US10168787B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10168787-B2
Application numberUS-201615266599-A
CountryUS
Kind codeB2
Filing dateSep 15, 2016
Priority dateSep 15, 2015
Publication dateJan 1, 2019
Grant dateJan 1, 2019

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Abstract

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A method for the target recognition of target objects, in particular for the target recognition of the operating elements in a motor vehicle are disclosed herein. The method (and systems which incorporate the method) may employ various gaze tracking device, hand tracking devices, and combine inputs from the two based on a methodology for correlation.

First claim

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What is claimed is: 1. A method for target recognition of target objects, comprising: recognizing a directional vector of a viewing direction of a user and of a directional vector of an indicating device for at least one indicating gesture of a finger ( 8 . 1 ) of the user; determining a first intersection (XBP; YBP) of the directional vector of the viewing direction with a first target plane (E0) located at a distance (z) from the user, and determining a second intersection (XZP; YZP) of the directional vector of the indicating direction with the first target plane (E0), wherein in response to the intersections (XBP; YBP) and (XZP; YZP) simultaneously being within a predetermined tolerance range T0 of a first target object (X0; Y0) arranged in the first target plane (E0), the intersections are associated with the first target object arranged in the first target plane, and interval tolerance ranges (TBP; TZP) are formed by multiplying the coordinates of the intervals (XBP; YBP) and (XZP; YZP) with a correction factor (α, β, γ, δ), wherein the correction factor (α, β, γ, δ) is defined by a spatial relationship of the fingertips and the eyes with the first target plane (E0). 2. The method according to claim 1 , wherein an association of a target object (X0/n; Y0/n) is reported acoustically, visually and/or tactilely to the user. 3. The method according to claim 1 , wherein a target object (X0/n; Y0/n) is recognized as a flat element of the target plane (E0). 4. The method according to claim 1 , wherein a target recognition for other target objects (Xn, Yn) is configured to be activated or deactivated by the association of the intersections (XBP; YBP) and (XZP; YZP) with the first target object (X0; Y0). 5. The method according to claim 1 , wherein the coordinates of the first target object (X0; Y0) serve as reference point for a spatial coordinate system. 6. The method according to claim 1 , wherein the first target plane (E0) serves as reference plane for at least one other target plane (En). 7. The method according to claim 1 , wherein a target object is associated with a virtual or real operating element. 8. The method according to claim 1 , wherein a movement pattern of a first intersection (XBP; YBP) and of a second intersection (XZP; YZP) detected on a target plane (E0/En) is associated with an input command. 9. A method for target recognition of target objects, comprising: recognizing a directional vector of a viewing direction of a user and of a directional vector of an indicating device for at least one indicating gesture of a finger ( 8 . 1 ) of the user; determining of a first intersection (XBP; YBP) of the directional vector of the viewing direction with a first target plane (E0) located at a distance (z) from the user, and determining of a second intersection (XZP; YZP) of the directional vector of the indicating direction with the first target plane (E0), wherein in response to sectional intersection of intersection tolerance ranges (TBP; TZP) formed in the target plane (E0) and of the intersections (XBP; YBP) and (XZP; YZP), and the sectional intersection tolerance ranges being with a predetermined sized plane containing the first target object (X0; Y0) arranged in the first target plane (E0), and an interval tolerance ranges (TBP; TZP) are formed by multiplying the coordinates of the intervals (XBP; YBP) and (XZP; YZP) with a correction factor (α, β, γ, δ), wherein the correction factor (α, β, γ, δ) is defined by a spatial relationship of the fingertips and the eyes with the first target plane (E0). 10. The method according to claim 9 , further comprising employing a self-learning algorithm to redefine the correction factor (α, β, γ, δ) based on an iterative process of using a system in which the method is implemented thereon. 11. The method according to claim 9 , wherein the correction factor (α, β, γ, δ) each correspond to a respective one of the intersection vectors. 12. The method according to claim 1 , further comprising: using the determined intervals of the intersection coordinates from the coordinates of the first target object (X0; Y0) for correction in target recognition of other target objects. 13. An apparatus for target recognition of target objects, comprising: a processor unit is configured to: recognize a directional vector of a viewing direction of a user and of a directional vector of an indicating device for at least one indicating gesture of a finger ( 8 . 1 ) of the user; determine a first intersection (XBP; YBP) of the directional vector of the viewing direction with a first target plane (E0) located at a distance (z) from the user, and determine a second intersection (XZP; YZP) of the directional vector of the indicating direction with the first target plane (E0), wherein in response to the intersections (XBP; YBP) and (XZP; YZP) simultaneously being within a predetermined tolerance range T0 of a first target object (X0; Y0) arranged in the first target plane (E0), the intersections are associated with the first target object arranged in the first target plane, and interval tolerance ranges (TBP; TZP) are formed by multiplying the coordinates of the intervals (XBP; YBP) and (XZP; YZP) with a correction factor (α, β, γ, δ), wherein the correction factor (α, β, γ, δ) is defined by a spatial relationship of the fingertips and the eyes with the first target plane (E0). 14. The apparatus according to claim 13 , wherein the processor unit is further configured to report an association of a target object (X0/n; Y0/n) acoustically, visually and/or tactilely to the user. 15. The apparatus according to claim 13 , wherein a target object (X0/n; Y0/n) is recognized as a flat element of the target plane (E0). 16. The apparatus according to claim 13 , wherein a target recognition for other target objects (Xn, Yn) is configured to be activated or deactivated by the association of the intersections (XBP; YBP) and (XZP; YZP) with the first target object (X0; Y0). 17. The apparatus according to claim 13 , wherein the coordinates of the first target object (X0; Y0) serve as reference point for a spatial coordinate system. 18. The apparatus according to claim 13 , wherein the first target plane (E0) serves as reference plane for at least one other target plane (En). 19. The apparatus according to claim 13 , wherein a movement pattern of a first intersection (XBP; YBP) and of a second intersection (XZP; YZP) detected on a target plane (E0/En) is associated with an input command. 20. The apparatus according to claim 13 , wherein the processor unit is further configured to use the determined intervals of the intersection coordinates from the coordinates of the first target object (X0; Y0) for correction in target recognition of other target objects.

Assignees

Inventors

Classifications

  • Physics · mapped topic

  • G06F3/017Primary

    Gesture based interaction, e.g. based on a set of recognized hand gestures (interaction based on gestures traced on a digitiser G06F3/04883) · CPC title

  • Multimodal input, i.e. interface arrangements enabling the user to issue commands by simultaneous use of input devices of different nature, e.g. voice plus gesture on digitizer · CPC title

  • Eye tracking input arrangements (G06F3/015 takes precedence) · CPC title

  • Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) · CPC title

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What does patent US10168787B2 cover?
A method for the target recognition of target objects, in particular for the target recognition of the operating elements in a motor vehicle are disclosed herein. The method (and systems which incorporate the method) may employ various gaze tracking device, hand tracking devices, and combine inputs from the two based on a methodology for correlation.
Who is the assignee on this patent?
Van Laack Alexander, Morris Paul O, Kirsch Oliver, and 1 more
What technology area does this patent fall under?
Primary CPC classification G06F3/017. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 01 2019 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 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).