Human body motion data similarity automatic evaluation method

Abstract

The invention relates to a human body motion data similarity automatic evaluation method. First of all, by use of human body skeleton structure based motion data acquired by a motion capture device, distances between attitude are defined based on a data format, then statistical information of motion is established by aggregating various time-space attitude, finally, a distance between two motions is calculated based on a Bhattacharyya distance, segmented motion comparison is performed, and motion similarity is evaluated through the distance. The method concretely comprises the following steps: 1, performing human body motion acquisition by use of a Vicon motion capture suite; 2, decomposing motion into sub-motion of a time sequence; 3, performing similarity comparison on the sub-motion; and 4, obtaining the similarity between motion A and motion B by calculating Cos t<*>(h0,h0). The method has the following advantages: by taking attitude data of motion capture as input, the statistical information of the motion is established by aggregating the various time-space attitude such that the motion evaluation accuracy is improved and the real-time performance is improved.

Description

technical field [0001] The invention relates to an automatic evaluation method for human body movements, in particular to an automatic evaluation method for similarity of human body movement data, which belongs to the field of human body movement evaluation. Background technique [0002] As we all know, human action evaluation mainly involves three interrelated issues: body skeleton, body shape analysis, and feature extraction. Skeleton extraction is relatively easy and is an effective representation for shape compression. Lei Tao et al. proposed to use the skeleton extraction method to analyze actions. This method generates the skeleton of the body contour to distinguish walking, running and gait. This method was improved by Ziaeefard and Ebrahimnezhad, who introduced a normalized polarity histogram obtained from a "star" skeleton corresponding to the cumulative skeleton for one action cycle. In particular, they compared several skeleton extraction methods and proposed a ...

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Problems solved by technology

[0004] In order to overcome the deficiencies in the prior art, the present invention provides an automatic evaluation method for the similarity of human motion data, which aims at the problem of low real-time performance of the existing continuous human motion evaluation algorithm, and proposes a method combining dynamic time warping and posture statistical information , a human action evaluation system based on paradigm strategies, using motion captured pose data as input, clustering various spatiotemporal poses to establish a statistical representation of actions, improving the accuracy of action evaluation and improving real-time performance

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