High-precision exercise amount recognition system and method based on stride frequency
An identification method and identification system technology, which is applied in the field of sports and health management, can solve problems such as difficult to achieve fitness and disease prevention, one-sided fitness plans, and can not reflect the intensity and time of exercise, so as to achieve accurate recording of exercise volume and improve the accuracy of detection Effect
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Embodiment 1
[0029] Such as figure 1 As shown, the step frequency-based high-precision exercise recognition method includes the following steps:
[0030] Acquire user walking information, the walking information includes a sequence consisting of several unit time periods and user step frequencies corresponding to the unit time periods; specifically, first acquire sensor signals, including but not limited to signals from acceleration sensors, gyroscope sensors, etc. According to the sensor signal, it is judged whether the user is in a walking state. If so, the real-time movement steps of the user are obtained, recorded, and the user's stride frequency per unit time period is calculated to form the user's walking information.
[0031] In order to be able to perform step counting more accurately, it also includes a step counting data correction step. In this step, the real-time accurate step counting results (manual step counting or third-party such as WeChat, etc.) are compared with the curr...
Embodiment 2
[0043] The difference between this embodiment and Embodiment 1 is that in the step of adjusting the pitch threshold in this embodiment, the user manually sets the pitch threshold. The high-precision exercise recognition system based on stride frequency in this embodiment further includes a threshold manual setting module, which is used for the user to adjust the stride frequency threshold.
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