A Gait Detection Method for Pedestrians Wearing Smartphones

Abstract

The invention discloses a gait detection method suitable for pedestrians equipped with smart phones, which includes a step of judging whether the smart phone is in a moving state and a step of gait detection; the step of whether the smart phone is in a moving state includes: the first step: continuous Obtain the three-axis acceleration information of the smart phone, and calculate the three-axis total acceleration according to the obtained three-axis acceleration information; the second step: judge whether the three-axis total acceleration meets the first condition according to the calculated three-axis total acceleration result, and judge whether the three-axis total acceleration meets the first condition. Whether the second condition is met before the first condition; the first condition is that the smartphone appears to be in motion, the second condition is whether the smartphone is in a static state, if the first condition and the second condition are not met, then return to the first step, If it is satisfied, the gait detection step is executed; the method of the present invention no longer uses the detection threshold to detect the gait, effectively overcoming the adverse effects brought by the differences of different people's walking styles.

Description

technical field [0001] The invention relates to a gait detection method suitable for pedestrians equipped with smart phones. Background technique [0002] With the advent of the location-based services (LBS, Location-based Services) era and the increasing popularity of mobile terminals such as smart phones and wearable devices, the demand for obtaining personal location and surrounding service information anytime, anywhere is increasing. As the main means of obtaining spatial location information and the core technology of LBS, indoor pedestrian positioning and navigation technology is very important. At present, in terms of indoor real-time positioning system (RTLS, Real Time Location Systems), indoor mapping and indoor pedestrian navigation technology, there are already many commercial giants in this field, such as Apple, Google, Qualcomm, Intel, Cisco, Ali, Baidu and so on. There are currently a variety of available indoor pedestrian navigation and positioning technolog...

AI Technical Summary

Problems solved by technology

This method relies on the accurate judgment of the carrying mode and the precise setting of the detection threshold. Since different people have slightly different walking styles (such as different people's arm swing amplitude, walking speed, etc.), the difference in walking style has a great impact on the carrying mode. The judgment and the setting of the detection threshold have a great influence, which seriously reduces the accuracy of the algorithm, making the method not widely applicable and unable to be popularized.

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