Method for predicting human body measurement data

A technology of anthropometric measurement and data measurement, applied in the field of data measurement, can solve the problems of discomfort in human body testing, complicated and expensive measuring equipment, and difficulty in accurately restoring the human body, and achieve low cost of measurement, fast measurement speed, and improved measurement accuracy and efficiency Effect

Active Publication Date: 2017-09-22
XIAN SUANIER ELECTRONICS TECH
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AI Technical Summary

Problems solved by technology

[0008] In order to solve the problems of complex and expensive measuring equipment used in existing measuring methods, causing uncomfortable feeling of testing to the human body and difficulty in accurately re

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  • Method for predicting human body measurement data
  • Method for predicting human body measurement data
  • Method for predicting human body measurement data

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Embodiment Construction

[0068] The method for predicting the anthropometric data refers to a method for predicting the measurement data of the human body to be measured by using two non-depth pictures and the height, body and weight information of the human body to be measured.

[0069] Such as figure 1 As shown, the equipment for realizing the method of the present invention includes a scale, an ultrasonic height measuring instrument, and a 150-degree wide-angle camera with 5 million pixels.

[0070] Such as Figures 2 to 8 As shown, the method for predicting anthropometric data includes the following steps:

[0071] 1) build a model library; the model library is composed of a plurality of human body models and the measurement data of multiple positions of each human body model, and building a model library includes the following steps,

[0072] 1.1) Establish a human body three-dimensional virtual model library: generate a standard posture human body three-dimensional virtual model library of any...

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Abstract

The invention relates to a method for predicting human body measurement data, and solves the problems of complex and expensive used measurement device, test discomfort caused to a human body and difficulty in accurately recovering real posture data of the human body in an existing measurement method. The method comprises the steps of 1) establishing a model library; 2) generating a posture tag; 3) obtaining body height and body weight of the to-be-measured human body and photo information containing a to-be-measured part; 4) processing a photo into a binary image; 5) according to the established model library, performing deep convolutional neural network learning on the binary image; 6) predicting the posture tag of the to-be-measured human body according to a learning result; and 7) predicting measurement data of the to-be-measured human body. According to the method, input data is easy to obtain; the problem of complex input of an existing algorithm is solved; a test device is simple; and input information collection can be finished only by the simple device, so that the test cost is low.

Description

technical field [0001] The invention belongs to the field of data measurement, and in particular relates to a method for predicting human body measurement data. Background technique [0002] As technology develops, obtaining 3D anthropometric data is a necessity in many industries. For example, it is used in the medical field to monitor changes in body volume due to renal failure or to evaluate changes in patient body images to ensure the success of surgery. In addition, being able to generate accurate body characteristics and measurement data is also beneficial to the clothing industry. Accurate body measurements will benefit clothing manufacturers or retailers to communicate with customers and benefit online purchases. [0003] Anthropometric system is the basic work and key technology to realize electronic tailoring and establishment of human body shape database. In the development process of more than 30 years, it has roughly experienced three stages: from manual measu...

Claims

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Application Information

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IPC IPC(8): G06T17/00A61B5/00A61B5/107G01G19/44G06N3/08
CPCA61B5/0077A61B5/107G06N3/08G06T17/00G01G19/44
Inventor 杨少毅褚智威石裕隆
Owner XIAN SUANIER ELECTRONICS TECH
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