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A motion sensor and gait recognition technology, applied in the field of human biometrics, can solve the problems of the convenience of personal data security equipment, increase the cost of gait recognition, user personal data security risks, etc. Small volume, wide range of effects
Inactive Publication Date: 2017-09-01
SOUTH CHINA UNIV OF TECH
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However, with the rapid development of information technology, it also brings risks to the security of users' personal data, which makes there is a certain degree of contradiction between the security of personal data and the convenience of equipment use.
[0003] The current research on gait recognition is basically based on machine vision and deep learning. Multiple cameras are required to acquire gait videos for data analysis at the same time, which will greatly increase the cost of gait recognition.
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[0032] This embodiment discloses a method for gait recognition based on a motion sensor. The method utilizes a wearable smart device (including but not limited to a mobile phone in a pocket, smart sports shoes, and a sports foot ring) worn on a foot, a calf, or a thigh. ), collect the gait information of the wearer, and then compare it with the pre-collected data in the database after analysis by a low-power processor to verify the identity of the wearer.
[0033] When the user wears the smart wearable device and walks, the gait recognition method based on the motion sensor disclosed in the present invention can collect the user's gait information and confirm whether the wearer is a legal holder. The entire identification process does not require user participation, so it is very convenient.
[0034] as attached figure 1 As shown, the gait recognition method based on the motion sensor disclosed in this embodiment includes the following steps:
[0035] S1. Obtain the gait dat...
specific Embodiment approach
[0037] In a specific implementation manner, this step specifically includes:
[0038] S201. Perform gait data recognition through different cycle gait recognition algorithms, evaluate the calculated cycle, and return a confidence level, using the gait cycle value estimated by the cycle gait recognition algorithm with the highest confidence level.
[0039] S202. According to the estimated gait cycle value, the data of each step is accurately positioned and cut and extracted separately as feature values.
[0040] In this step, according to the previously estimated cycle size, the data of each step is accurately positioned and segmented, and then extracted separately, laying a solid foundation for further in-depth data processing.
[0041] At the same time, in the process of segmentation, the periodicity of the data will be analyzed. If the periodicity is not obvious, then this piece of data will be considered as wrong data and discarded to save valuable computing resources.
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Abstract
The invention discloses a motion sensor-based gait recognition method. The method comprises the following steps that: gait data are generated in the walking process of a user who wears a motion sensor are acquired through the motion sensor; gait cycle estimation is performed on the gait data, localization segmentation is performed on the gait data, and the feature value extraction of the gait data is realized; and on the basis of the matching and comparison of the extending length of the rising edge and time span of a gait data feature curve, candidates whose matching degrees are higher than a judgment threshold value are screened out from a matching library, and error integration is performed on the feature values of the gait data and gait data of each candidate to be identified which have been subjected to Fourier transformation in the frequency domain, so that the matching degree of each candidate to be identified can be obtained, and a candidate whose matching degree is the largest is determined as an identity matching successful result. According to the motion sensor-based gait recognition method of the invention, the identify recognition of a user is based on the gait features of the user, and therefore, the method is more difficult to counterfeit and has higher security compared with traditional technology such as fingerprint recognition; a verification process is completed in the natural walking process of the user, and use experience can be smoother.
Description
technical field [0001] The invention relates to the technical field of human body biometrics, in particular to a motion sensor-based gait recognition method. Background technique [0002] In today's world, information technology innovation is changing with each passing day, and the wave of informatization characterized by digitization, networking, and intelligence is booming. Wearable devices have entered people's lives. On people's belongings, smart chips and other devices are integrated, which can collect data related to users' physiology and usage habits, and can record habits and improve experience through the Internet and other means. function extension, etc. However, with the rapid development of information technology, it also brings risks to the security of users' personal data, which leads to a certain degree of contradiction between personal data security and device convenience. [0003] The current research on gait recognition is basically based on machine visio...
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