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Gait-based wearable device user identification method and system

A user identification and wearable device technology, applied in character and pattern recognition, instruments, digital data authentication, etc., can solve the problems of adding hardware devices and ignoring the energy consumption of the user identification system, so as to reduce noise, reduce data collection time period, Reduce the effect of user intervention

Active Publication Date: 2021-02-05
NANJING UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Research on recent solutions either ignores the energy consumption of the user identification system, or adds expensive hardware devices, or requires the user to perform a specific movement process to complete the data modeling

Method used

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  • Gait-based wearable device user identification method and system
  • Gait-based wearable device user identification method and system
  • Gait-based wearable device user identification method and system

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0042] like figure 1 As shown, the gait-based energy-efficient wearable device user identification method disclosed in the present invention is mainly divided into two stages, that is, the classifier establishment stage and the wearable device user identification stage through the classifier. Specifically, it includes the following 5 steps:

[0043] Step 1: Dynamic Data Collection

[0044] Generally, an acceleration sensor is used to collect the user's gait data. In the embodiment, the three-way acceleration sensor that comes with the wearable device can be directly used to collect the user's gait data, without adding additional hardware, saving costs and reducing energy consumption.

[0045] Collecting data will generate a lot of redundant data and consume more energy for wearable devices, while a small and accurate gait dataset can reduce e...

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Abstract

The invention discloses a gait-based user identification method for a wearable device, which is characterized in that the user data is automatically collected by an acceleration sensor for preprocessing to obtain the user gait data, and the feature value of the user gait data is extracted and input to the user classification According to the output result of the user classifier, it can be judged whether the user is the owner of the wearable device. A gait-based wearable device user identification system adopting the method is further disclosed. Through the method, the energy consumption of the user identification system is reduced, the intervention on the user is reduced, the identification accuracy is improved, and the protection of user privacy and security is enhanced.

Description

technical field [0001] The invention belongs to the technical field of user identification, and in particular relates to a gait-based energy-efficient wearable device user identification method and system. Background technique [0002] Wearable devices are becoming more and more popular. On the one hand, wearable devices can collect wearer data and can help improve the wearer's quality of life; on the other hand, the exposure of wearer data collected by wearable devices may damage the wearer's daily life. Ideally, users want to use wearable devices without worrying about the leakage of personal privacy information. Research on recent solutions either ignores the energy consumption associated with the user identification system, or adds expensive hardware devices, or requires the user to perform a specific motion process to complete the data modeling. Contents of the invention [0003] In order to solve the above-mentioned problems, the present invention is based on the c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/32G06K9/00G06K9/62
CPCG06F21/32G06V40/25G06F18/2411
Inventor 刘斌吴盼吴小兵陈贵海
Owner NANJING UNIV
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