Intelligent shoe adaptive monitoring method for spine and leg health

Abstract

The invention discloses an intelligent shoe adaptive monitoring method for spine and leg health. The method includes the steps that shoe soles and / or the interiors of shoes are divided into multiple preset areas, pressure data of each area in walk is collected through a collection module, and time data in collection is recorded; the collection module transmits the pressure data and the time data in collection to an analysis module; the analysis module gives a motion state recognition result according to the pressure data and the time data in collection by establishing and adapting to a complete recognition model. Based on corresponding pressure characteristic groups, corresponding pressure characteristic healthy groups and corresponding population plantar pressure characteristic health assessments, a triangular plantar pressure health acquisition and assessment model is built individually in a way of a triangular mass matrix; the shoe sole pressure distribution is adaptively and automatically adjusted according to an individual and group comparison result to form a shoe sole pressure model most suitable for individuals, and thus the shoe soles can be automatically adjusted to formthe more comfortable and most healthy shoe sole pressure model for individuals; the shoe sole pressure model serves as an input factor in user portrait groups to influence the initial plantar pressuredistribution of like characteristic groups.

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...

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

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