Gait identity identification method based on mobile phone acceleration sensor and system thereof

Abstract

The invention discloses a gait identity identification method based on a mobile phone acceleration sensor and a system thereof. The method comprises the following steps of using a mobile phone acceleration sensor to collect gait data of a person to be measured in a section of journey; preprocessing the acquired gait data, carrying out linearity interpolation and filtering on triaxial acceleration signals x, y and z, and then synthesizing a resultant accelerated speed; carrying out period segmentation on a synthesized resultant accelerated speed sequence, using a DTW algorithm to filter a period, and filtering a disqualification period and acquiring a qualified period; extracting time domain and frequency domain characteristics from the qualified period, wherein the time domain characteristic includes 8 characteristics of an z-axis-direction average maximum acceleration speed, an average minimum acceleration speed, an average acceleration speed, a root mean square, a standard deviation, a peak value factor, kurtosis and an average absolute difference, and the frequency domain characteristic includes first five coefficients of FFT conversion and first five coefficients of DCT conversion so that 18 dimension characteristics are formed; and using a classifier which is trained in advance to identify the 18 dimension characteristics of the person to be measured.

Description

technical field [0001] The invention relates to the field of identification, in particular to a gait identification method and system based on a mobile phone acceleration sensor. Background technique [0002] In today's society, science and technology are increasingly developed, information globalization is developing rapidly, and it has penetrated into various disciplines and fields, and people's living and learning methods have also been greatly affected. Electronic equipment products have become an indispensable part of people's lives, such as mobile phones, tablet computers, personal notebooks and mp3. While these technological products bring convenience to people, they also bring great security and privacy loopholes. Today's mobile phones are no longer limited to dialing numbers and sending text messages, and personal computers are not limited to personal office work. Electronic banking, email, electronic consumption and online shopping transactions are all realized on...

AI Technical Summary

Problems solved by technology

However, iris recognition often requires the support and cooperation of high-end equipment

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