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Hand tremor identification method in non-static state of body

A hand tremor and recognition method technology, applied in the field of behavior recognition, can solve the problem of inability to accurately recognize hand tremor movements, and achieve the effect of high recognition rate

Pending Publication Date: 2021-12-21
XIAN UNIV OF TECH
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Problems solved by technology

[0003] The purpose of the present invention is to provide a hand tremor recognition method in a non-stationary state of the body, which solves the problem in the prior art that the hand tremor movement in a non-stationary state of the body cannot be accurately identified

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Embodiment Construction

[0074] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0075] The hand tremor movement when the body is at rest is not affected by the movement of other parts of the body, and the base position of the wrist is stable, so the tremor amplitude, tremor rate, and movement trajectory of the hand are relatively stable without environmental interference. However, the hand tremor movement in a non-stationary state will be affected by other physical activities, and the hand tremor data collected at this time is a "compound movement" that includes physical activity. The present invention first establishes a mathematical model according to the tremor action of the hand in an ideal state. Then, analyze the factors affecting the hand tremor movement in the environment, set up the experiment and complete the data calibration and noise removal. Finally, a hand tremor recognition method based on CNN-LSTM is pro...

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Abstract

The invention discloses a hand tremor identification method in a non-static state of a body. The method is specifically implemented according to the following steps: 1, establishing a hand tremor mathematical model; 2, carrying out data calibration and noise elimination; 3, eliminating a time-varying direct current component and calculating a time-varying tremor frequency; and 4, carrying out a hand tremor identification method based on CNN-LSTM. The problem that in the prior art, the hand tremor action in the non-static state of the body cannot be accurately recognized is solved.

Description

technical field [0001] The invention belongs to the technical field of behavior recognition, and in particular relates to a hand tremor recognition method in a non-stationary state of the body. Background technique [0002] Zhang et al. used RFID phase signatures to study body tremor rates. Ding applied RFID technology to extract signal features to describe changes in hand movements, and proposed a multi-branch one-dimensional CNN (Multi-Branch1D-CNN) basic framework, which directly uses RFID signals to recognize static and dynamic hand movements. The recognition rate of the existing technology is low, and the recognition rate based on CNN-LSTM is better than other models. Contents of the invention [0003] The object of the present invention is to provide a hand tremor recognition method in a non-stationary state of the body, which solves the problem in the prior art that the hand tremor movement in a non-stationary state of the body cannot be accurately recognized. [...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/044G06N3/045G06F2218/02G06F18/253
Inventor 王怀军赵欣李军怀张发存曹霆
Owner XIAN UNIV OF TECH
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