Footprint system capable of obtaining a human body living state

A technology of living status and footprint, applied in the field of footprint system, can solve problems such as single function, lack of living status, monitoring, etc.

Active Publication Date: 2019-04-05
DALIAN EVERSPRY SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, wearable products are booming, but most of the health care wearable products have a single function, which only measure simple ph...

Method used

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  • Footprint system capable of obtaining a human body living state
  • Footprint system capable of obtaining a human body living state
  • Footprint system capable of obtaining a human body living state

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0096] This embodiment provides a footprint system capable of obtaining human living conditions, including:

[0097] 1. Mental state assessment module; input of the assessment module: real-time footprint image sequence with time tags (for the same person, it is impossible to have a short-term multi-sensor image collection, so it is considered that the image source of the same person sequence is unified ), including two types of graphs with stress response and non-stress response, evaluating the objective information of the object (height, age, weight, gender entered by the user himself).

[0098] a) Objective information calibration based on CNN network:

[0099] i. Preprocessing: the integration of sequence diagrams, transforming real-time footprints into complete footprints;

[0100] ii. Use the pre-trained model to determine height, age, and weight (gender is not required). When the difference between the determined age and the input age exceeds 1 year, the input informati...

Embodiment 2

[0186] This embodiment provides a pre-trained deep learning age network model B, specifically:

[0187] S1: Acquire barefoot or socks footprint image data, and preprocess the image data;

[0188] S2: Create a barefoot image dataset;

[0189] S3: Data training and feature extraction, the improved AlexNet network is used here, the specific structure is as follows:

[0190] (1) Initial network:

[0191] Network composition: 4 layers of convolutional layers, 2 layers of pooling layers, and 2 layers of fully connected layers;

[0192] Internet connection:

[0193] conv1+pooling1+relu→conv2+pooling2+relu→conv3+relu→conv4+relu→fc5→fc6

[0194] Among them, conv represents the convolutional layer, pooling represents the pooling layer, fc represents the fully connected layer, and relu represents the activation function;

[0195] (2) Adjust the network through training and verification results: After using the initial network for a complete training, test with the verification data,...

Embodiment 3

[0199] This embodiment provides a pre-trained deep learning weight network model C, specifically:

[0200] S1: Acquire barefoot or socks footprint image data, and preprocess the image data;

[0201] S2: Create a barefoot image dataset;

[0202] 1) Divide the preprocessed barefoot image dataset into two parts:

[0203] (1) Training set: used for the training process of deep learning, each barefoot footprint data sample has subordinate weight information, and this weight information is the label of the barefoot or socks footprint;

[0204] (2) Verification set: used to verify the quality of deep learning results. Each barefoot or sock footprint data sample has subordinate weight information, but the validation set does not participate in training, it is only used to measure the accuracy of weight determination

[0205] 2) Among them, the data requirements of each part:

[0206] (1) The data dimension of the verification set shall not be higher than that of the training set d...

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Abstract

The invention discloses a footprint system capable of obtaining the living state of a human body, and the system comprises a mental state assessment module which judges the mental state of a user based on objective information, objective calibration information, and a presented gait; The life style evaluation module evaluates objective information of the object according to the duration of each motion state of the user, and performs comprehensive evaluation and reason analysis on the life style of the user; The diet state evaluation module evaluates the diet condition of the user according tothe weight change trend; The comprehensive evaluation module is used for comprehensively analyzing evaluation results of dietary habits, living modes and mental states of the user, and outputting thatthe current living state of the user is good if the three items are not displayed and need to be adjusted; Otherwise, the current living state of the user needs to be adjusted, and a specific item needing to be adjusted and a specific analysis result of the item are output. The biological characteristics of the user are automatically analyzed through the obtained user footprint sample, and then the living state of the user is evaluated.

Description

technical field [0001] The invention relates to a system for obtaining the living state of a human body, in particular to a footprint system capable of obtaining the living state of a human body. Background technique [0002] With the development of the economy and the improvement of people's awareness of health, more and more people begin to know their physical health status through regular physical examination or carrying various portable monitoring equipment. The use of portable monitoring equipment for health monitoring and management can save medical human resources. [0003] People develop their own unique living conditions since childhood, such as work and rest habits, exercise habits, etc. A person's health is closely related to his life status, therefore, life status is an important criterion to reflect a person's health status. However, in the actual medical treatment process, people often ignore the state of life, and the recovery of the state of life is to a la...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/25G06V40/10G06F18/214
Inventor 董波郭宝珠张吉昌于昕晔
Owner DALIAN EVERSPRY SCI & TECH
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