# US 9,436,871 B2 · Posture detection method and system

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- Number: US 9,436,871 B2
- Document ID: US9436871B2
- Status: Granted
- Kind: B2
- Application number: 14/142,954
- Filed: 2013-12-30
- Published: 2015-04-02
- Granted: 2016-09-06
- Earliest claimed: 2013-09-29
- Assignees: Shenyang Neusoft Medical Systems Co., Ltd.
- Applicants: Shenyang Neusoft Medical Systems Co., Ltd.
- Inventors: Jinjun Liu; Wei Li
- Web page: https://patentgrep.com/patent/US9436871B2

## CPC

- G06T 7/73: using feature-based methods
- G06V 10/422: for representing the structure of the pattern or shape of an object therefor
- G06V 40/11: {Hand-related biometrics; Hand pose recognition}
- G06T 2207/10028: Range image; Depth image; 3D point clouds
- G06T 2207/30008: Bone
- G06T 2207/30196: Human being; Person
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

## Abstract

A posture detection method and system are provided. The posture detection method includes: obtaining skeleton data of a target person; analyzing the skeleton data to obtain actual posture information of the target person; and recording the actual posture information of the target person. The accuracy of determining the posture information by obtaining the skeleton data of a body is quite high. Besides, the actual posture information is recorded automatically, so that a doctor does not need to record the posture information manually. Therefore, scanning missing or wrong scanning direction caused by inconformity between the real posture of the patient and the recorded posture information may be avoided, which ensures the reliability of medical diagnosis.

## Claims

### Claim 1

A posture detection method, comprising:
obtaining, by an image capturing device, skeleton data of a target person;
analyzing the skeleton data to obtain actual posture information of the target person;
determining whether posture information of the target person is recorded in a system;
if the posture information of the target person is recorded in the system, determining whether the actual posture information of the target person is consistent with the posture information of the target person recorded in the system; and
if the actual posture information of the target person is consistent with the posture information of the target person recorded in the system, displaying that the target person is in a right posture, or if the actual posture information of the target person is inconsistent with the posture information of the target person recorded in the system, recording the actual posture information of the target person.

### Claim 2 (depends on 1)

The posture detection method according to claim 1, wherein the image capturing device is a depth image capturing device.

### Claim 3 (depends on 2)

The posture detection method according to claim 2, wherein the depth image capturing device is a Leap Motion device or a Kinect device.

### Claim 4 (depends on 1)

The posture detection method according to claim 1, wherein the step of analyzing the skeleton data to obtain actual posture information of the target person comprises at least one selected from:
determining a posture direction of the target person based on a coordinate threshold of the skeleton data;
calculating a joint angle of the target person and determining posture information of an upper limb of the target person based on the coordinate threshold of the skeleton data; and
determining posture information of a lower limb of the target person based on depth coordinates of the coordinate threshold of the skeleton data.

### Claim 5

A posture detection system, comprising:
an image capturing device, configured to obtain skeleton data of a target person, wherein the data obtaining unit comprises an image capturing device;
a processor, configured to: analyze the skeleton data to obtain actual posture information of the target person;
determine whether posture information of the target person is recorded in a scanning system;
determine whether the actual posture information of the target person is consistent with the posture information of the target person recorded in the scanning system when the posture information of the target person is recorded in the scanning system; and
record the actual posture information of the target person under the condition that the actual posture information of the target person is inconsistent with the posture information of the target person recorded in the scanning system; and
a displayer, configured to display that the target person is in a right posture when the actual posture information of the target person is consistent with the posture information of the target person recorded in the scanning system,
where the processor is coupled with the image capturing device and the displayer.

### Claim 6 (depends on 5)

The posture detection system according to claim 5, wherein the image capturing device is a depth image capturing device.

### Claim 7 (depends on 6)

The posture detection system according to claim 6, wherein the depth image capturing device is a Leap Motion device or a Kinect device.

### Claim 8 (depends on 5)

The posture detection system according to claim 5, wherein the processor comprises at least one module selected from:
a first determination module, configured to determine a posture direction of the target person based on a coordinate threshold of the skeleton data;
a second determination module, configured to calculate a joint angle of the target person and determining posture information of an upper limb of the target person based on the coordinate threshold of the skeleton data; and
a third determination module, configured to determine posture information of a lower limb of the target person based on depth coordinates of the coordinate threshold of the skeleton data.