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Optimization method and device for joint rotation center based on motion capture point cloud

A rotation center, motion capture technology, applied in the field of motion capture and human musculoskeletal modeling, can solve the problem of sensitive error to sticking error and so on

Active Publication Date: 2022-07-26
THE SECOND PEOPLES HOSPITAL OF SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve the problem that joint motion parameters calculated based on marker points are sensitive to pasting point errors and have large errors, and further proposes a joint rotation center optimization method, storage medium and equipment based on motion capture point clouds

Method used

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  • Optimization method and device for joint rotation center based on motion capture point cloud
  • Optimization method and device for joint rotation center based on motion capture point cloud
  • Optimization method and device for joint rotation center based on motion capture point cloud

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specific Embodiment approach 1

[0025] This embodiment is an optimization method for the joint rotation center based on the motion capture point cloud. The present invention combines the data of two states of static standing and dynamic walking to optimize the joint rotation center, and the two bones connected with the optimized joint are recorded as the first The bone and the second bone are described by taking the knee joint as an example. The first bone and the second bone are the thigh bone and the calf bone, respectively.

[0026] It should be noted that the present invention is not limited to the knee joint, but is also applicable to other joints, such as the hip joint, the shoulder joint, the elbow joint, and the like. In the case of the elbow joint, the first and second bones are the upper and lower arm bones, respectively.

[0027] Taking knee joint as an example, the joint rotation center optimization method based on motion capture point cloud includes the following steps:

[0028] S1. Paste at le...

specific Embodiment approach 2

[0038] This embodiment is a storage medium, and the storage medium stores at least one instruction, and the at least one instruction is loaded and executed by a processor to implement the motion-capture point cloud-based joint rotation center optimization method.

[0039] It is to be understood that any method described herein, corresponding to any method, may be provided as a computer program product, software or computerized method, which may include a non-transitory machine-readable medium having stored thereon instructions that may be used for programming A computer system, or other electronic device, to perform the process. Storage media may include, but are not limited to, magnetic storage media, optical storage media; magneto-optical storage media including: read only memory ROM, random access memory RAM, erasable programmable memory (eg, EPROM and EEPROM), and flash memory layers; or Other types of media suitable for storing electronic instructions.

specific Embodiment approach 3

[0040] This embodiment is a joint rotation center optimization device based on motion capture point cloud. The device includes a processor and a memory. It should be understood that, including any device described in the present invention including a processor and a memory, the device may also include other devices that pass signals or Units and modules that display, interact, process, control and other functions of instructions;

[0041] At least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to realize the method for optimizing the joint rotation center based on the motion capture point cloud.

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Abstract

A joint rotation center optimization method and device based on motion capture point cloud belong to the technical field of motion capture and human musculoskeletal modeling. In order to solve the problem that the joint motion parameters calculated based on the marked points are sensitive to the sticking error, there is a large error. Based on the collected optimized joint and the marked point data of the first bone and the second bone respectively connected with the optimized joint in a relative static state and a relative motion state, the marked point data in the relative motion state of the first bone is superimposed to a relatively static state Lower the marked point data, and based on the corresponding rotation-translation relationship, the movement trajectory of the marked point data is converted into the first bone remains stationary, the second bone rotates around the first bone through the optimized joint; the second bone of the current frame is marked The point coincides with the marked point corresponding to the second bone of the previous frame, and transforms the rotation centers of the rotation and translation matrices of all adjacent two frames in the complete gait cycle into an optimization problem to achieve optimization. Mainly used for joint rotation center optimization.

Description

technical field [0001] The invention specifically designs a joint rotation center optimization method, which belongs to the technical field of motion capture and human musculoskeletal modeling. Background technique [0002] Motion capture and musculoskeletal modeling are the most common techniques for evaluating human motion characteristics. At present, it is widely used in the evaluation of sports performance, the functional evaluation of orthopedic diseases, the production of film animation and other fields. The implementation of the evaluation is mainly by pasting optical reflective balls on the human bone markers, and capturing the three-dimensional space coordinates of the reflective balls through the motion capture system, so as to calculate parameters such as joint motion angles according to the spatial coordinates of the reflective balls. There are two main ways to calculate the joint angle. One is to calculate the angle between the line segments based on the connec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33G06V40/20G06V40/10G06T7/73G06T7/246G06T17/00
CPCG06T7/344G06T7/75G06T7/251G06T17/00G06T2207/10016G06T2207/10028G06T2207/30196G06T2207/30241
Inventor 蒯声政张睿陈姿宇颜滨周文钰李文翠
Owner THE SECOND PEOPLES HOSPITAL OF SHENZHEN
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