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Self-adaptive pedestrian mobile phone posture recognition method based on Gaussian mixture clustering algorithm

A Gaussian mixture and clustering algorithm technology, applied in the field of pedestrian positioning and navigation, can solve problems such as limiting mobile phone usage scenarios and affecting user experience, and achieve high real-time performance, easy implementation, and strong universality

Active Publication Date: 2020-03-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, the fixed mobile phone carrying method greatly limits the usage scenarios of mobile phones when pedestrians are walking, which seriously affects the user experience.

Method used

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  • Self-adaptive pedestrian mobile phone posture recognition method based on Gaussian mixture clustering algorithm
  • Self-adaptive pedestrian mobile phone posture recognition method based on Gaussian mixture clustering algorithm
  • Self-adaptive pedestrian mobile phone posture recognition method based on Gaussian mixture clustering algorithm

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Embodiment Construction

[0047] Below in conjunction with accompanying drawing and specific embodiment the technical solution of the present invention is described in further detail:

[0048] An adaptive gesture recognition method for pedestrians carrying mobile phones based on a new Gaussian mixture clustering algorithm. During the process of pedestrians carrying mobile phones, by analyzing and matching the signal features of the mobile phone's built-in acceleration sensor, gyroscope sensor and proximity sensor, etc., Apply Gaussian mixture clustering algorithm to realize adaptive mobile phone pose recognition for different pedestrians, and detect mobile phone pose transformation.

[0049] Gaussian mixture clustering uses a probabilistic model to express cluster prototypes. Combined with the current application scenario, the number of gesture categories used by the mobile phone is known, and the distribution of each gesture is known to have regional distribution characteristics such as figure 2 , a...

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Abstract

The invention discloses a self-adaptive pedestrian mobile phone posture recognition method based on a Gaussian mixture clustering algorithm, and the method comprises the steps: carrying out collectionand quantification of three-axis data of an internal acceleration sensor, a gyroscope and a close-range sensor under each posture of a mobile phone of a plurality of pedestrians, solving a gravity component of the acceleration sensor, and virtualizing the gravity component into gravimeter data; matching the characteristics of each attitude signal by adopting a Gaussian mixture clustering algorithm; setting the size of the sliding window to be M, storing cluster division results of a series of sampling points at the moment, and detecting a series of continuous mobile phone pose conversion in the sliding window; and outputting a posture conversion detection judgment result. The method provided by the invention has the advantages of strong universality, high reliability, simple calculation and good real-time performance.

Description

technical field [0001] The invention belongs to the technical field of pedestrian positioning and navigation, and in particular relates to an adaptive pedestrian gesture recognition method based on a Gaussian mixture clustering algorithm. Background technique [0002] With the popularization of smart phones, pedestrian positioning and navigation technology based on smart phones has become an important emerging branch in the field of positioning and navigation. At present, in indoor navigation scenarios, the more commonly used method is pedestrian direction reckoning algorithm (PDR). The use of this method requires the mobile phone to maintain a fixed position relative to the human body to ensure that the heading calculated by the mobile phone can accurately reflect the heading of pedestrians. This is because, once the attitude of the mobile phone changes greatly, the navigation system will misjudge that the course of the pedestrian has changed, which will cause serious error...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G01C21/20G01C21/18G01C21/16G01C21/00
CPCG01C21/20G01C21/18G01C21/165G01C21/005G06F18/23Y02D30/70
Inventor 易荷田曾庆化黄河泽雷棋尧熊智曾世杰
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS