Gait detection method suitable for pedestrian with a smart phone

Abstract

The invention discloses a gait detection method suitable for a pedestrian with a smart phone. The gait detection method comprises the steps of judging whether the intelligent mobile phone is in a moving state and detecting the gait. Whether the smartphone is in a moving state comprises the following steps: 1, continuously acquiring three-axis acceleration information of the smartphone, and sequentially calculating three-axis combined acceleration according to the acquired three-axis acceleration information; 2, judging whether that triaxial resultant acceleration satisfy the first condition according to the result of calculating the triaxial resultant acceleration, and judging whether the second condition is satisfied before the first condition is satisfied. The first condition is a movement phenomenon of the smartphone, the second condition is whether the smartphone is in a stationary state, if the first condition and the second condition are not satisfied, the first step is returned,and if the first condition and the second condition are not satisfied, the gait detection step is executed. The method of the invention also does not adopt a detection threshold mode to carry out gait detection, and effectively overcomes the adverse influence caused by the difference of the walking modes of different people.

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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