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Recognition of gestures of a human body

A posture and human body recognition technology, which is applied in the field of human body posture recognition, can solve problems such as increased cost investment, and achieve the effect of reduced computing costs and continuous posture monitoring

Inactive Publication Date: 2016-06-01
DRAGERWERK AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The cost input required to implement the corresponding method is also significantly increased

Method used

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  • Recognition of gestures of a human body
  • Recognition of gestures of a human body
  • Recognition of gestures of a human body

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Embodiment Construction

[0054] to combine Figure 1-4 , basically shows that the information from the recognition device 100 is converted into the body limb model 30 . Thus, the whole thing starts with the depth camera arrangement 110 photographing the human body 10 , here the hand 16 , which results in the point cloud 20 . Here, for the sake of overview, only the point cloud 20 is shown for the most distal knuckle as body member 12 . Recognition of the entire body limb 12 and preferably also the corresponding back of the hand 17 from the point cloud 20 takes place in the same manner. As a result, there are figure 2 The point cloud 20 shown is identified. Thus, the entire hand 16 with all fingers 18 including the thumb 18a is found there. The fingers have respective phalanxes as body members 12 .

[0055] Insertion of the individual articulation points 14 can then take place with the method according to the invention. This is associated with the respective actual joint between the two body mem...

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Abstract

The invention relates to a method for recognition of gestures of a human body (10) by means of a depth camera device (110), comprising the following steps: a) generating a point cloud (20) by means of the depth camera device (110) at a first point in time (t1) as initial image (IB), b) evaluating the initial image (IB) for recognition of body limbs (12) of the body (10), c) setting at least one articulation point (14) having a degree of freedom of rotation defined by a rotation angle (alpha) in relation to at least one recognized body limb (12), d) generating a point cloud (20) by means of the depth camera device (110) at a second point in time (t2) after the first point in time (t1) as subsequent image (FB), e) evaluating the subsequent image (FB) with regard to at least one recognized body limb (12) and the at least one set articulation point (14) from the initial image (IB), f) determining the rotation angle (alpha) of the at least one articulation point (14) in the subsequent image (FB), g) comparing the determined rotation angle (alpha) with a rotation angle specification (RV), h) recognizing a gesture upon correlation between the determined rotation angle (alpha) and the rotation angle specification (RV).

Description

technical field [0001] The invention relates to a human body posture recognition method and a recognition device for human body posture recognition. Background technique [0002] It is known to capture human poses by means of depth camera arrangements. Thus, for example, systems are already on the market which are able to determine the position of individual body parts or individual body limbs relative to one another. Posture and thus postural control can be derived from, for example, the relative position of the forearm with respect to the upper arm. Known methods are used, for example, to execute computer games or the control of televisions. In this case, a point cloud is usually generated by means of a depth camera, from which the current position of the respective body part and thus the correlation of the body parts to each other can be calculated by means of a calculation algorithm. At all times, the entire point cloud has to be processed according to the analysis ev...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F3/01
CPCG06F3/017G06V40/113G06V40/20G06V40/28G06T2207/10028G06T2207/30196
Inventor K.埃勒斯J.哈特曼
Owner DRAGERWERK AG