Human body model building method, device and storage medium

Abstract

The invention relates to the field of human body models in vehicles, and discloses a method, equipment and storage medium for establishing a human body model. The method includes: according to the Mahalanobis distance between each human body sign sample and the centroid sample in the plurality of human body sign samples, selecting a plurality of regional samples satisfying a set overall accommodation percentage from the plurality of human body sign samples; selecting A plurality of regional samples whose correlations with the principal component vectors of the plurality of regional samples satisfy a set correlation threshold are used as a plurality of human body models. In this embodiment, on the premise of satisfying the setting of the overall accommodation percentage, the number of selected human models is made as small as possible.

Description

Technical field [0001] The present invention relates to the field of human body models in the vehicle, in particular, to a human model establishment method, apparatus, and storage medium. Background technique [0002] The human body model in the car has a wide range of automotive design. For example, in the seat comfort, safety design, more use of Ramsis (a human-machine analysis software) human model system, can establish a percentage fake person based on the signs statistics database. The current percentage body model is mostly based on height and weight, and can meet the accommodation requirements on a single dimension type (height). [0003] However, due to the diversity of the human body, it is difficult to reflect individual differences only by using a single somatosomal parameter. When the multi-dimensional gauge parameter is included in the body model, the human body model constructed by conventional methods can only satisfy the accommodation requirements on a single-elem...

AI Technical Summary

Problems solved by technology

[0003] However, due to the diversity of human body shapes, it is difficult to reflect individual differences only by using a single physical parameter.

When the human body model includes multi-dimensional sign parameters, the human body model constructed by traditional methods can still only meet the accommodation requirements on a single sign parameter, and it is often difficult to take into account the overall accommodation performance for multi-dimensional parameters

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