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Adaptive monitoring method for smart shoes for spine and leg health

An adaptive and smart shoe technology, applied in the fields of artificial intelligence, neural network, and machine learning, can solve problems such as undesignable

Active Publication Date: 2021-09-21
古琳达姬(厦门)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing technology cannot carry out targeted design according to each person's own foot shape characteristics, body shape, and physical condition

Method used

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  • Adaptive monitoring method for smart shoes for spine and leg health
  • Adaptive monitoring method for smart shoes for spine and leg health
  • Adaptive monitoring method for smart shoes for spine and leg health

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Embodiment Construction

[0031] In order to make the content of the present invention clearer and easier to understand, the content of the present invention will be described in detail below in conjunction with specific embodiments and accompanying drawings.

[0032] According to the present invention, a smart shoe adaptive monitoring method for spine and leg health is provided, including: dividing the sole and / or the interior of the shoe into predetermined multiple areas, and using the acquisition module to collect the data of each of the multiple areas while walking. The pressure data at the time of collection is recorded, and the time data at the time of collection is recorded; the collection module transmits the pressure data and time data at the time of collection to the analysis module; the analysis module gives Motion state recognition results. In addition, according to the comparison results between individual groups and groups, it can adapt and automatically adjust the sole pressure distribut...

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Abstract

A smart shoe adaptive monitoring method for spine and leg health, comprising: dividing the sole and / or the interior of the shoe into predetermined multiple areas, using an acquisition module to collect pressure data of each area during walking, and recording the time data during collection The acquisition module transmits the pressure data and the time data during collection to the analysis module; the analysis module gives the motion state recognition result through the establishment and self-adaptive perfect recognition model according to the pressure data and the time data during collection. Health assessment for people with corresponding pressure characteristics, healthy people with corresponding pressure characteristics and plantar pressure characteristics of the corresponding population. Adapt and automatically adjust the sole pressure distribution according to the comparison results between the individual population and the group to form the most suitable sole pressure model for the individual, so that the sole can be automatically adjusted to become the most comfortable and healthy sole pressure model for the individual, and as a user portrait group The input factors affect the initial plantar pressure distribution of the population with the same characteristics.

Description

technical field [0001] The invention relates to the fields of machine learning, neural network, and artificial intelligence, in particular to an adaptive monitoring method for smart shoes aimed at spine and leg health. Background technique [0002] The recognition of human motion posture plays an important role in motion analysis, disease prevention and other fields. The pressure and pressure on the soles of the human feet, foot walking posture and shoes will cause dysfunction or lesions along with the structure of the human foot, such as knee joint damage, young spine development, incorrect posture for a long time may cause splayed feet, bandy legs, Spine health and development problems, and changes with changes in the state of motion of the human body. According to each person's foot pressure distribution, a personalized pressure distribution model can be formed for diagnosis and intervention. [0003] Existing design shoes are usually designed according to relatively ex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/103A61B5/11
CPCA61B5/1038A61B5/1116A61B5/112A61B5/6807
Inventor 郑智民陈志勇
Owner 古琳达姬(厦门)股份有限公司
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