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Finger flexibility detection method based on recognition of operation behaviors of smart mobile terminal

A technology of intelligent mobile terminals and detection methods, applied in character and pattern recognition, diagnostic recording/measurement, medical science, etc., can solve problems such as screening, time-consuming clinical diagnosis, delayed diagnosis, etc., and achieve high universality and Practical value, improved convenience, and high-accuracy effects

Active Publication Date: 2019-08-16
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technical effect of this patented technology allows us to accurately identify different features like slipper speeds or presses on fingers compared to current techniques that only provide numerical values instead of physical properties. It also provides an efficient way to categorify these differences based on their impact on user behavior. Overall, this innovation helps make medical diagnosis more accessible by providing accurate data about how well people are doing things while reducing healthcare expenses.

Problems solved by technology

Technologies described in this patents involve detecting hand movement with sensors attached to an electronic device like a phone or tablet computer. These devices require users to look at their fingers during testing because they lack visual feedback from previous tests due to limitations associated with human perception. Current techniques rely heavily on manual observation and trial-and error. There is currently no effective way to accurately identify these issues before treating them effectively.

Method used

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  • Finger flexibility detection method based on recognition of operation behaviors of smart mobile terminal
  • Finger flexibility detection method based on recognition of operation behaviors of smart mobile terminal
  • Finger flexibility detection method based on recognition of operation behaviors of smart mobile terminal

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Embodiment Construction

[0067] The present invention will be further described below in conjunction with the embodiments and the accompanying drawings.

[0068] The method flow of the embodiment of the present invention, such as figure 1 shown.

[0069] 1) The user interacts with the APP installed on the smart mobile terminal. . At the same time, the intelligent mobile terminal pressure sensor collects interactive data;

[0070] It is necessary to select meaningful features to input into machine learning algorithms and models for training. In general, features are selected from two considerations:

[0071] Whether the feature diverges: If a feature does not diverge, for example, the variance is close to 0, that is to say, the samples basically have no difference in this feature, and this feature is not useful for distinguishing samples.

[0072] Correlation between features and targets: This is relatively obvious, and features that are highly correlated with targets should be selected first. E...

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Abstract

The invention discloses a finger flexibility detection method based on recognition of operation behaviors of a smart mobile terminal. According to the method, interactive behavior data between a userand the smart mobile terminal are collected, geometrical characteristics of the palm, flexibility characteristics of fingers and the like are extracted, and accordingly, the finger flexibility of thecurrent user of the smart mobile terminal is detected and determined. The finger flexibility detection method has the advantages that the method based on an smart mobile terminal platform can conveniently and accurately detect the user's finger flexibility without increasing any burden to the user; the method can be applied to detection of early symptoms of Parkinson's disease and to initial detection of other dyskinesia diseases, thereby having extremely high applicability and broad promotion prospect.

Description

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Claims

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Application Information

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Owner ZHEJIANG UNIV
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