Method for adjusting movement speed based on q-learning algorithm, treadmill and prompting device
A technology to adjust movement and speed, applied in sports accessories, computer parts, computing and other directions, can solve the problems of inability to get rid of equipment dependence, unable to achieve sports training, etc., to achieve the effect of saving equipment costs
Active Publication Date: 2021-07-27
北京动亮健康科技有限公司
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Problems solved by technology
These methods and devices for real-time monitoring of exercise intensity through heart rate indicators require the use of wearable devices or electronic devices to regulate exercise intensity, that is, they cannot get rid of the dependence on devices during exercise.
For athletes without equipment, exercise with the goal of keeping the heart rate in a constant range for a long time cannot be achieved
Method used
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Embodiment approach
[0066] According to the first embodiment of the present invention, a method for adjusting the speed of motion based on the Q-Learning algorithm is provided, such as figure 1 shown, including the following steps:
[0067] Step S1: Establishing a sports training reward matrix based on the sports training information of the user in the first predetermined time period.
[0068] The user performs multiple exercises within a month, during which the user wears a heart rate watch to exercise on a treadmill, sets the duration of each exercise, and records the longest time of each exercise as T max .
[0069] The duration of each exercise is divided into multiple stages, and the adjustment time of each stage is 5 minutes, but not limited to 5 minutes, and can also be 3 minutes, 8 minutes or 10 minutes, etc. Each stage corresponds to an exercise reward matrix, that is, the number of exercise reward matrices = T max / Adjustment time for each stage.
[0070] Set the maximum number of ...
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The present invention relates to the field of artificial intelligence, and provides a method for adjusting exercise speed based on the Q-Learning algorithm, a treadmill and a prompting device. The method includes the following steps: S1: Establishing an exercise information based on the user's exercise in the first predetermined time period Exercise reward matrix, the exercise exercise information includes speed and heart rate, the exercise exercise reward matrix takes the exercise heart rate within the predetermined constant heart rate range as the training goal, and evaluates the degree of the user's body change effect under each speed change; S2: A Q-Learning matrix is formed based on the exercise reward matrix and the Q-Learning algorithm, and the Q-Learning matrix evaluates the degree of benefit of the user's body change under each speed change; S3: Adjust the user's movement speed according to the Q-Learning matrix. Compared with the existing monitoring of exercise intensity which needs to rely on electronic devices, the present invention can be separated from wearable electronic devices, effectively saving the cost of exercise equipment.
Description
technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method for adjusting movement speed based on a Q-Learning algorithm, a treadmill for adjusting movement speed and a prompt device for adjusting movement speed. Background technique [0002] Exercise can effectively reduce the morbidity and mortality of cardiovascular diseases. Excessively low-intensity exercise cannot achieve the effect of exercise. Excessively high-intensity exercise may lead to nerve center fatigue, decreased bone function, and liver damage. Therefore, the intensity during exercise needs to be strictly controlled. [0003] Existing technical means mainly monitor exercise intensity in real time through heart rate indicators. For example, Chinese patent application No. 2019800248879 discloses a method for estimating exercise intensity, device and program for estimating exercise intensity. The patent calculates the heart rate by means of an electrocardiog...
Claims
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IPC IPC(8): G06K9/62G06F17/18G06F17/16G06F17/11A63B71/06A63B22/02
CPCG06F17/18G06F17/16G06F17/11A63B22/02A63B71/0669A63B2220/30A63B2230/06G06F18/214
Inventor 张永亮张世潮叶骏陈娟曾强李军高向阳何明清
Owner 北京动亮健康科技有限公司