Speed measurement method and system of high-precision wearable equipment, medium and equipment

Abstract

The invention relates to a speed measurement method and system of high-precision wearable equipment for running training, a medium and a device. The method comprises: carrying out sensitivity and zero offset compensation on an IMU sensor; dynamically fusing the compensated sensor data; judging whether the fused sensor data is a footstep static section or not; carrying out quaternion attitude calculation on the data of which the detection result is the static section; and obtaining the speed by integral calculation based on the solved data. According to the invention, real-time training data is provided to formulate a more efficient and more scientific training mode, the exercise training intensity is assisted to be adjusted in time, and accidental injuries caused by too high training intensity are avoided.

Description

technical field [0001] The invention relates to the field of wearable devices, in particular to a speed measurement method, system, medium and device for high-precision wearable devices for running training. Background technique [0002] A scientific training plan is especially important for track and field athletes and running enthusiasts. Scientific training can enable athletes to reduce the risk of injury and better prepare for various levels of competition. It is also convenient for runners to formulate appropriate intensity exercise plans to avoid accidental injuries. . The use of human body wearable sensors to collect running data and intelligently analyze training results can not only help athletes improve their training quality and athletic ability, but also promote national sports, so that more people can actively participate in running sports and improve the physical fitness of the whole people. This kind of equipment can not only customize a training plan with re...

AI Technical Summary

Problems solved by technology

However, wearable sensors are rarely used in real-time monitoring of human body speed. Yang developed a running speed measurement algorithm and only used a single sensor. The experimental results are good, but this requires high sensor accuracy and cost; Sabatini designed a An algorithm for estimating human walking speed, but lacks experimental verification for high-speed sections

Walking and running are two different human body movement mechanisms, it is difficult to take into account the speed measurement accuracy of walking and running

Moreover, due to the difference in body size, running habits, and running postures, as well as the interference of technical hardware equipment errors, it is difficult to measure speed accurately.

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