Identification method based on walking feature data

Abstract

The invention discloses an identity recognition method based on walking characteristic data, comprising the steps of: segmenting the collected triaxial acceleration data, decomposing a continuous movement into data segments of continuous time and fixed length; The features are calculated in the time domain and frequency domain respectively; the features of each segment are classified with a pre-trained classifier; the identification results of a certain number of continuous data segments are summarized to obtain the identification result. It is possible to collect walking data through a portable smart phone, extract features for classification, and then use a trained classifier to classify the collected walking data, thereby identifying the identity of the current user. The cost of equipment is effectively saved, and at the same time, a good recognition effect is achieved.

Description

technical field [0001] The invention belongs to the technical field of identification, and in particular relates to a method for identification based on walking data collected by a sensor of a smart phone. Background technique [0002] The application of various intelligent systems in daily life is becoming more and more common. Identity recognition is often required in intelligent systems to provide personalized services. Identification is a very difficult problem. In traditional methods, it is mainly identified through some things with personal identity characteristics, such as identification items such as certificates and keys, or identification knowledge such as user names and passwords. However, the disadvantages of traditional identification methods are quite obvious: identification items are easily lost or forged, and identification knowledge is easily forgotten or stolen. In addition, the biological characteristics of each person such as facial features, fingerprin...

AI Technical Summary

Problems solved by technology

[0004] 1. This type of technology relies on external devices, so the scope of use is limited to areas where image acquisition devices (such as cameras) have been deployed and can be observed by these devices

[0005] 2. Since the information conveyed by images is very rich, there is a risk of leakage of information other than user activities, so this type of technology also has serious privacy issues

[0006] 3. Since image processing and video processing technologies require high network transmission bandwidth and computing power, it is difficult to achieve real-time processing under existing technical conditions, which also limits the application of such technologies in real-time systems

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