Joint angle-based rhythm motion collaborative analysis method

A technology of joint angle and rhythmic motion, which is applied in the field of collaborative analysis of rhythmic motion based on joint angle, can solve the problems of small application range and single feature analysis method, and achieve the effect of effective extraction and analysis

Pending Publication Date: 2020-11-17
YANSHAN UNIV
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AI Technical Summary

Problems solved by technology

The research method of extracting and analyzing local synergy relations for simple movements ignores the overall synergy of human motion and the change of synergy relations in different stages of the movement process, which makes this kind of research method have problems such as small scope of application and single feature analysis method.

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  • Joint angle-based rhythm motion collaborative analysis method
  • Joint angle-based rhythm motion collaborative analysis method
  • Joint angle-based rhythm motion collaborative analysis method

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Embodiment Construction

[0042] Below in conjunction with embodiment the present invention is described in further detail:

[0043] Such as figure 1 Shown, a kind of rhythmic motion analysis method based on joint angle of the present invention comprises:

[0044] Step S1: Establish a simplified human skeleton model, collect data on changes in human rhythmic joint parameters, record and save the basic information of the target object, including name, gender, age, height, weight, and the name of the action performed.

[0045] Step S1 specifically includes the following steps:

[0046] Step S101: Establish a human skeleton kinematic chain model, including but not limited to upper limb kinematic chain (shoulder, elbow, wrist), lower limb kinematic chain (hip, knee, ankle) and backbone kinematic chain (head, neck, several spinal nodes) joints angle data such as figure 2 shown. The joint angle data is denoted as a ij , i is the number of different joint angles, j is the rotation component of joints in...

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Abstract

The invention discloses a joint angle-based rhythm collaborative analysis method, which is used for analyzing human body rhythm motion collaborative characteristics and personalized differences by utilizing the collaborative characteristics of joint angles in human body rhythm motion and combining singular values in a matrix theory, and comprises the following steps of: 1) obtaining human body motion joint angle data and calculating joint parameters such as angular velocity and angular acceleration; 2) performing stage division on a human body motion process according to human body rhythm motion stages and periodicity characteristics, and dividing joint parameter change data according to motion stages; 3) unifying the joint parameter change data matrix scale by means of interpolation or key frame extraction and the like; and 4) utilizing a matrix theory method to extract and analyze the synergy and individuation characteristics of the joint parameters after normalization processing. Human body local limb movement and movement stage data are equivalent to sub-matrixes of human body rhythm movement data, and effective evaluation of human body rhythm movement cooperative characteristics is realized by combining principles and methods in a matrix theory.

Description

technical field [0001] The invention relates to the field of human motion analysis, in particular to a rhythmic motion collaborative analysis method based on joint angles. Background technique [0002] At present, the analysis methods of human motion include multiple directions such as anatomy, kinematics, and dynamics. Compared with anatomical and dynamic analysis, analyzing the joint angles of human motion from the kinematic level has the characteristics of simple data collection and wide application range. However, due to the high complexity and strong coordination of human motion itself, the extraction and analysis of its internal synergy relationship, individual differences and other characteristics has always been a difficult problem. [0003] In the analysis of the synergy characteristics of human movement, in addition to accurately analyzing the synergy and individual characteristics of the human body, it is also necessary to consider the relationship between local ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F17/16
CPCG06F17/16G06V40/25
Inventor 吴晓光邓文强牛小辰贾哲恒钟君任品田晓波
Owner YANSHAN UNIV
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