Flexibility gait monitoring device based on artificial intelligence computing

A monitoring device and artificial intelligence technology, applied in computing, computer parts, diagnostic recording/measurement, etc., can solve the problems of not considering the influence of knee gait, poor gait reliability, and prediction affecting human health status, etc. Achieve the effect of effective intelligent monitoring, effective data support, and simple structure

Pending Publication Date: 2019-03-08
EAST CHINA NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Most of the existing technologies focus on the impact of the foot on the gait, and do not consider the impact of the knee on the gait, so that the analysis and research on the gait are not reliable, which greatly affects the prediction of the human body shape and human health status

Method used

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  • Flexibility gait monitoring device based on artificial intelligence computing
  • Flexibility gait monitoring device based on artificial intelligence computing
  • Flexibility gait monitoring device based on artificial intelligence computing

Examples

Experimental program
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Embodiment 1

[0020] See attached Figure 4 , the flexible pressure sensing array 1 is attached to the knee and sole of the subject 6, and the initial landing period, support response period, midpoint support period, late support period, early swing period, early swing period, mid-swing period and late swing period are collected. Pressure data for each gait phase. The flexible pressure sensing array 1 uses a sensing array with 64 rows and 64 columns, and multiple sensing units work simultaneously to collect the pressure values ​​of the feet and knees. The flexible pressure sensing array 1 transmits the collected pressure signal to the gating module 2, the gating module 2 uses a CD4067 chip, and its output signal is connected to the analog-to-digital conversion circuit 3, and the analog-to-digital conversion circuit 3 converts the subject 6 The analog signals of the eight walking stage data are converted into digital signals and then sent to the neural network trainer 4 for learning. Each ...

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Abstract

The invention discloses a flexibility gait monitoring device based on artificial intelligence computing. The monitoring device is characterized by being formed by connecting a flexibility pressure sensing array, a gating circuit, an analog-digital conversion circuit, a neural network trainer and a characteristic comparison module in series; the flexibility pressure sensing array collects a plurality of sets of pressure signals of the foot sole and the knee of a human body during walking and is connected to the analog-digital conversion circuit through the gating circuit, and output signals aretransmitted to the neural network trainer through serial transmission for learning; the neural network trainer inputs a trained neural network into the characteristic comparison module, and comparison and recognition are performed on pressure signals input by the flexibility pressure sensing array in real time, so that intelligent monitoring of the human body form health is achieved. Compared with the prior art, the monitoring device has the advantages that the predicted accuracy is high, the structure is simple, use is convenient, effective intelligent monitoring of the human body form health is achieved, and reliable and effective data support is provided for reliable analysis and research of the human body form and the health state.

Description

technical field [0001] The invention relates to the technical field of intelligent monitoring, in particular to a flexible gait monitoring device for learning based on artificial intelligence calculation of FPGA. Background technique [0002] Gait is the behavior characteristic of human walking, which involves the coordinated movement of muscles and joints of the foot, ankle, knee, hip, trunk, neck, shoulder and arm. Through the analysis and research of gait, the human body shape and human health status can be analyzed. predict. Good walking habits help people maintain physical and mental health. Years of irregular walking postures will aggravate the pressure on the triceps and Achilles tendons of the calf and bring harm to the body. With the rapid development of wearable technology, miniaturization and wearable gait monitoring devices will play an important role in the development of young people's sports posture and postoperative rehabilitation of patients, making sports ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/103A61B5/11G06K9/62
CPCA61B5/1036A61B5/1038A61B5/112A61B5/7267A61B2562/0247G06F18/22G06F18/214
Inventor 吴幸田希悦张嘉言王茜顾俊杰
Owner EAST CHINA NORMAL UNIV
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