Behavior analysis method based on positioning track and smart watch

Abstract

The invention relates to the technical field of high-precision positioning, and discloses a behavior analysis method based on a positioning track, and the method comprises the following steps: obtaining the position information of positioning equipment at each moment; according to the position information, performing calculating to obtain a moving speed corresponding to each moment; carrying out correction preprocessing on the position information; matching the position information with high-precision map data; if the position S1 at the moment T1 is not in the space range corresponding to certain layer data and the position S0 at the moment T0 and the position S2 at the moment T2 are in the space range corresponding to the layer data, performing calculating to obtain a middle position S4 of S0 and S2, and taking S4 as a corrected position at the moment T1, wherein the T0 moment, the T1 moment and the T2 moment are continuous moments; and matching the corrected and preprocessed positioninformation with the high-precision map data, and performing analyzing to obtain user behavior state information of the positioning equipment according to the heart rhythm of the user or the movementspeed corresponding to the corrected and preprocessed position information.

Description

technical field [0001] The invention relates to the technical field of high-precision positioning, in particular to a behavior analysis method based on a positioning track. Background technique [0002] With the continuous development of electronic technology, smart portable electronic products such as smart watches and smart bracelets are becoming more and more popular. The positioning function of smart watches can not only be used to check the user's location and fence settings, but also analyze user behavior by querying historical tracks. [0003] At present, the positioning information of smart watches comes from global navigation and positioning system, base station positioning and WIFI positioning. Due to the small size and limited internal space of smart watches, the layout of positioning antennas will be limited, and the positioning accuracy will be relatively reduced. In underground warehouses and indoor environments, the positioning accuracy will be worse, and the...

AI Technical Summary

Problems solved by technology

[0003] At present, the positioning information of smart watches comes from global navigation and positioning system, base station positioning and WIFI positioning. Due to the small size and limited internal space of smart watches, the layout of positioning antennas will be limited, and the positioning accuracy will be relatively reduced. In underground warehouses and indoor environments, the positioning accuracy will be worse, and the position information will have a large drift

The drift of the positioning results of smart watches will lead to large errors when analyzing user behavior through trajectories

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