MEMS-IMU-based method and device for identifying pedestrian movement pattern

Abstract

The invention relates to a MEMS-IMU-based method and device for identifying a pedestrian movement pattern. An acceleration in the x-axis direction and an angular velocity in the y-axis direction in anMEMS-IMU are at least collected; difference processing is performed on the collected acceleration in the x-axis direction and an initial acceleration value, an extreme value greater than zero is setas an acceleration peak value, and an extreme value less than zero is set as an acceleration valley value; difference processing is performed on the collected angular velocity in the y-axis directionand an initial angular velocity, an extreme value greater than zero is set as an angular velocity peak value and an extreme value less than zero is set as an angular velocity valley value; the movement state of a pedestrian is determined; if the acceleration valley value occurs first in the acceleration in the x-axis direction in the period starting with releasing of the stationary state of the pedestrian, the state of the pedestrian is determined to be a state of going upstairs; and if the angular velocity valley value occurs first in the angular velocity in the y-axis direction, the state ofthe pedestrian is determined to be a state of going downstairs. Therefore, with the method for detecting the motion pattern states of people moving in the building, the movement states of people areidentified.

Description

technical field [0001] The invention belongs to the technical field of pedestrian motion detection, and in particular relates to a MEMS-IMU-based pedestrian motion pattern recognition method and device. Background technique [0002] With the development of technology, using the Inertial Measurement Unit (IMU) of Micro Electromechanical Systems (MEMS) to navigate and locate pedestrians has become the main means of pedestrian autonomous navigation. Among them, the inertial measurement unit (Inertial Measurement Unit, IMU) is a micro-electromechanical system, including a micro-gyroscope, a micro-accelerometer, an application-specific integrated circuit (ASIC), an embedded microcomputer and corresponding navigation software, which can realize positioning and detection. Features. [0003] Nowadays, there are mature technologies for monitoring outdoor sports, such as running and walking; at present, the automatic detection method for human motion mainly uses MEMS-IMU to count the...

AI Technical Summary

Problems solved by technology

[0004] However, for most of the people who only live in offices, office buildings and other buildings, if the technology for outdoor motion detection in the prior art is used for the monitoring of indoor people's activities, its practical significance is not great. , therefore, there is no reasonable way to judge the motion pattern of indoor people

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