Exercise intensity arrangement method, device and computer readable storage medium

Abstract

The embodiment of the present invention provides a method, device and computer-readable storage medium for scheduling exercise intensity. The method includes: obtaining a user's personal information and exercise courses, wherein the exercise courses correspond to exercise fatigue; and providing a recommended exercise intensity for the exercise courses based at least on the personal information and exercise fatigue.

Description

Technical Field

[0001] The present invention relates to a sports content arrangement technology, and more particularly to a sports intensity arrangement method, device and computer-readable storage medium. Background Art

[0002] In modern life, exercising based on various exercise courses provided by sports-related applications is a common activity. For example, a user can select a running course corresponding to a certain exercise intensity and / or exercise goal on a sports application, and perform corresponding exercises according to the content of the running course.

[0003] However, most of these exercise courses are not personalized for each user with different abilities. Therefore, the course content may not enable users with different abilities to achieve the desired exercise intensity and / or exercise goals. As a result, when different users take courses with the same exercise intensity, users with stronger abilities may find the courses too easy, while users with weaker abilities may find the courses too difficult and fail to achieve the goals set for the courses. Summary of the invention

[0004] In view of this, the present invention provides an exercise intensity scheduling method, device and computer-readable storage medium, which can be used to solve the above-mentioned technical problems.

[0005] An embodiment of the present invention provides an exercise intensity scheduling method suitable for an exercise intensity scheduling device, comprising: obtaining personal information of a user and an exercise course, wherein the exercise course corresponds to an exercise fatigue level; and providing a recommended exercise intensity for the exercise course based at least on the personal information and the exercise fatigue level.

[0006] An embodiment of the present invention provides an exercise intensity arrangement device, which includes a storage circuit and a processor. The storage circuit stores a program code. The processor is coupled to the storage circuit and accesses the program code to execute: obtaining personal information of a user and an exercise course, wherein the exercise course corresponds to an exercise fatigue level; and providing a recommended exercise intensity of the exercise course based on at least the personal information and the exercise fatigue level.

[0007] An embodiment of the present invention provides a computer-readable storage medium, which records an executable computer program. The executable computer program is loaded by an exercise intensity scheduling device to perform the following steps: obtaining a user's personal information and an exercise course, wherein the exercise course corresponds to an exercise fatigue level; and providing a recommended exercise intensity for the exercise course based at least on the personal information and the exercise fatigue level. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The accompanying drawings are included to provide a further understanding of the present invention and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments of the present invention and together with the description serve to explain the principles of the present invention.

[0009] Figure 1 FIG. 4 is a schematic diagram of an exercise intensity arrangement device according to an embodiment of the present invention.

[0010] Figure 2 is a flow chart of a method for arranging exercise intensity according to an embodiment of the present invention.

[0011] Figure 3 It is a schematic diagram of an application scenario according to the first embodiment of the present invention.

[0012] Figure 4 It is a schematic diagram of the corresponding relationship between the running heart rate interval index and RPE obtained according to the first embodiment of the present invention.

[0013] Figure 5 It is a schematic diagram of an application scenario according to the second embodiment of the present invention.

[0014] Figure 6 4 is a schematic diagram of the corresponding relationship between the running speed interval and the RPE obtained according to the second embodiment of the present invention.

[0015] Figure 7 is a schematic diagram of zooming motion speed according to the second embodiment of the present invention. DETAILED DESCRIPTION

[0016] Please refer to Figure 1 , which is a schematic diagram of an exercise intensity arrangement device according to an embodiment of the present invention. In different embodiments, the exercise intensity arrangement device 100 can be implemented as various smart devices and / or computer devices, wherein the smart device includes a smart mobile device or a smart wearable device, but is not limited thereto.

[0017] exist Figure 1 In the embodiment, the exercise intensity arrangement device 100 includes a storage circuit 102 and a processor 104. The storage circuit 102 is, for example, any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, hard disk or other similar devices or a combination of these devices, and can be used to record multiple program codes or modules.

[0018] The processor 104 is coupled to the memory circuit 102 and may be a general purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors combined with a digital signal processor core, a controller, a microcontroller, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), any other type of integrated circuit, a state machine, an Advanced RISC Machine (ARM) based processor, and the like.

[0019] In an embodiment of the present invention, the processor 104 can access the modules and program codes recorded in the storage circuit 102 to implement the exercise intensity arrangement method proposed by the present invention, the details of which are described as follows.

[0020] Please refer to Figure 2 , which is a flow chart of a method for arranging exercise intensity according to an embodiment of the present invention. The method of this embodiment can be Figure 1 The exercise intensity arrangement device 100 is executed, and the following is matched Figure 1 Description of components shown Figure 2 Details of each step.

[0021] First, in step S210, the processor 104 obtains the user's personal information and exercise courses. In one embodiment, the exercise course is, for example, one of many preset exercise courses provided on a certain exercise application. In different embodiments, the preset exercise course may, for example, include sports items corresponding to various exercise goals and / or exercise intensities. Each preset exercise course may, for example, be set with a corresponding exercise fatigue degree (e.g., a rating of perceived exertion (RPE)), which can be used to characterize the exercise intensity corresponding to each preset exercise course, but is not limited thereto. The present invention may also use other scales representing exercise fatigue degrees.

[0022] For ease of explanation, the following embodiment assumes that the exercise course considered in step S210 is a running course, which may be set with a specific RPE value as the corresponding exercise fatigue degree.

[0023] In addition, in different embodiments, the personal information of the user (hereinafter referred to as user A) considered in step S210 may include the maximum heart rate (hereinafter represented by hr_max), the resting heart rate (hereinafter represented by hr_rest) and / or the maximum oxygen uptake rate (hereinafter represented by vVO2max) of user A, but is not limited thereto. Among them, the personal information such as hr_max, hr_rest, vVO2max can be obtained through user input, synchronization of cloud data, or calculation based on the daily life record or exercise record (such as running exercise record) of user A through an algorithm.

[0024] Next, in step S220 , the processor 104 provides a recommended exercise intensity for the exercise course based at least on the personal information and the exercise fatigue level.

[0025] In order to make the concept of the present invention easier to understand, several embodiments are provided below for further explanation.

[0026] Please refer to Figure 3 , which is a schematic diagram of an application scenario according to the first embodiment of the present invention. Figure 3 In the figure, the horizontal axis is, for example, the RPE value, the vertical axis is, for example, the heart rate zone indicator value, the curve 313 is, for example, the heart rate zone indicator, the curve 311 is, for example, the upper limit of the heart rate zone indicator, and the curve 312 is, for example, the lower limit of the heart rate zone indicator.

[0027] In the first embodiment, the processor 104 may obtain the heart rate interval index corresponding to the exercise fatigue, and then obtain the first heart rate interval index (hereinafter represented by hrz1). For example, assuming that the RPE value (ie, exercise fatigue) considered is 6, then Figure 3 It can be seen that the corresponding heart rate interval index 320 is 0.73. In this case, 0.73 can be regarded as the above-mentioned first heart rate interval index. Assuming that the RPE value considered is 8, the corresponding heart rate interval index 330 is 0.83. In this case, 0.83 is regarded as the above-mentioned first heart rate interval index. The first heart rate interval index corresponding to other RPE values ​​should be deduced based on the above teachings, which will not be repeated here.

[0028] Afterwards, the processor 104 may, for example, determine the first heart rate hr1 based on a first relationship between the first heart rate interval index, the maximum heart rate, the resting heart rate and the first heart rate, wherein the first relationship is represented by: "hrz1=(hr1-hr_rest) / (hr_max-hr_rest)" (Formula (1)). Since the course has a preset RPE, the first heart rate interval index hrz1 can be obtained based on the RPE, so that the first heart rate interval index hrz1, the maximum heart rate hr_max, and the resting heart rate hr_rest can be understood as known. Therefore, the processor 104 can obtain the first heart rate hr1 after conversion based on Formula (1), but is not limited to this. After obtaining the first heart rate hr1 of the recommended heart rate, the processor 104 can determine the recommended exercise intensity of the exercise course based on it.

[0029] In the second embodiment, the heart rate interval index corresponding to the exercise fatigue degree obtained by the processor 104 is between the second heart rate interval index (hereinafter represented by hrz2) and the third heart rate interval index (hereinafter represented by hrz3). For example, assuming that the RPE value (i.e., exercise fatigue degree) considered is 6, then Figure 3 It can be seen that the corresponding heart rate interval index 320 is between 0.82 and 0.65. In this case, 0.82 and 0.65 can be regarded as the above-mentioned second heart rate interval index and the third heart rate interval index, respectively. Assuming that the RPE value considered is 8, the corresponding heart rate interval index 330 is between 0.9 and 0.76. In this case, 0.9 and 0.76 can be regarded as the above-mentioned second and third heart rate interval indexes, respectively. The second and third heart rate interval indicators corresponding to other RPE values ​​should be deduced based on the above teachings, which will not be repeated here.

[0030] Afterwards, the processor 104 may, for example, determine the second boundary heart rate hr2 based on a second relationship between the second heart rate interval index, the maximum heart rate, the resting heart rate and the second boundary heart rate, wherein the second relationship is represented by: "hrz2=(hr2-hr_rest) / (hr_max-hr_rest)" (Formula (2)). Since the course has a preset RPE, the second heart rate interval index hrz2 can be obtained based on the RPE, so that the second heart rate interval index hrz2, the maximum heart rate hr_max, and the resting heart rate hr_rest can be understood as known, so the processor 104 can obtain the second boundary heart rate hr2 after conversion based on Formula (2), but is not limited to this.

[0031] In addition, the processor 104 can determine the third boundary heart rate hr3 based on the third relationship between the third heart rate interval index, the maximum heart rate, the resting heart rate and the third boundary heart rate, wherein the third relationship is represented by: "hrz3=(hr3-hr_rest) / (hr_max-hr_rest)" (Formula (3)). Since the course has a preset RPE, the third heart rate interval index hrz3 can be obtained based on the RPE, so that the third heart rate interval index hrz3, the maximum heart rate hr_max, and the resting heart rate hr_rest can be understood as known, so the processor 104 can obtain the third boundary heart rate hr3 after conversion based on Formula (3), but is not limited to this.

[0032] After obtaining the second boundary heart rate hr2 and the third boundary heart rate hr3, the processor 104 may further determine the upper and lower boundaries of the recommended exercise intensity of the exercise course.

[0033] In the second embodiment, the second heart rate zone index hrz2 is the upper limit value obtained from the acquired data, and the third heart rate zone index hrz3 is the lower limit value obtained from the acquired data, so the second boundary heart rate hr2 is the recommended heart rate upper limit value, and the third boundary heart rate hr3 is the recommended heart rate lower limit value. In another embodiment, the processor 104 can use the larger of the second boundary heart rate hr2 and the third boundary heart rate hr3 as the recommended heart rate upper limit value for user A, and use the smaller of the second boundary heart rate hr2 and the third boundary heart rate hr3 as the recommended heart rate lower limit value for user A.

[0034] Based on the above embodiment, user A can know that when exercising according to the exercise course, he should maintain his heart rate at the first heart rate hr1, and it is recommended to keep it between the second boundary heart rate hr2 and the third boundary heart rate hr3 to achieve the exercise fatigue level corresponding to the exercise course.

[0035] In the first and second embodiments, Figure 3 The curves 311 to 313 shown are based on the measurement results obtained by multiple users while running. Figure 4 , Figure 4 For example, the following is a schematic diagram of the corresponding relationship between the running heart rate interval and the RPE obtained according to the first and second embodiments of the present invention. Figure 4 The heart rate interval and the upper and lower limits of each RPE can be calculated respectively. Figure 3 The values ​​of the upper and lower limits of the heart rate interval index corresponding to each RPE in , and then respectively obtain curves 313, 311 and 312. The calculation method can be obtained by the existing method and is not limited here.

[0036] In another embodiment, different measurement results can be obtained for indoor and outdoor running, and then the corresponding relationship between indoor and outdoor RPE and heart rate interval indicators can be obtained, which can correspond to indoor and outdoor running courses. Figure 3 The curves 311-313 shown correspond to the measurement results of indoor running. If the exercise course selected by the user is an indoor running course, the first, second and third heart rate interval indicators hrz1, hrz2 and hrz3 corresponding to the course RPE value can be obtained based on the correspondence between the indoor RPE and the heart rate interval indicators. On the contrary, if the exercise course selected by the user is an outdoor running course, hrz1, hrz2 and hrz3 corresponding to the course RPE value can be obtained based on the correspondence between the outdoor RPE and the heart rate interval indicators. After obtaining hrz1, hrz2 and hrz3, the processor 104 can obtain the corresponding first heart rate hr1, second boundary heart rate hr2 and third boundary heart rate hr3 according to formulas (1), (2) and (3). The relevant details can be referred to the description of the previous embodiment and will not be repeated here.

[0037] Please refer to Figure 5 , which is a schematic diagram of an application scenario according to the third embodiment of the present invention. Figure 5 In FIG. 5 , the horizontal axis is, for example, the RPE value, the vertical axis is, for example, the heart rate zone indicator value, 513 is, for example, the heart rate zone indicator, the curve 511 is, for example, the upper limit of the heart rate zone indicator, and the curve 512 is, for example, the lower limit of the heart rate zone indicator.

[0038] In the third embodiment, the processor 104 may obtain the speed interval index corresponding to the exercise fatigue, and then obtain the first speed interval index (hereinafter referred to as spz1). For example, assuming that the RPE value (ie, exercise fatigue) considered is 5, then Figure 5 It can be seen that the corresponding speed interval index 520 is 0.73. In this case, 0.73 can be regarded as the above-mentioned first speed interval index. Assuming that the RPE value (i.e., exercise fatigue) considered is 8, the corresponding speed interval index 530 is 0.85. In this case, 0.85 can be regarded as the above-mentioned first speed interval index. The first speed interval index corresponding to other RPE values ​​should be deduced based on the above teachings, and will not be repeated here.

[0039] Afterwards, the processor 104 may determine the first speed sp1 based on a fourth relationship between the first speed interval index and the maximum oxygen uptake speed vVO2max, wherein the fourth relationship is represented by: "spz1=sp1 / vVO2max" (Formula (4)). Since the course has a preset RPE, the first speed interval index spz1 may be obtained based on the RPE, so that the first speed interval index spz1 and the maximum oxygen uptake speed vVO2max may be understood as known, and therefore the processor 104 may obtain the first speed sp1 after conversion based on Formula (4), but is not limited thereto.

[0040] In the fourth embodiment, the processor 104 obtains a speed interval index corresponding to the exercise fatigue, wherein the speed interval index is between the second speed interval index (hereinafter represented by spz2) and the third speed interval index (hereinafter represented by spz3). For example, assuming that the RPE value (i.e., exercise fatigue) considered is 5, then Figure 5 It can be seen that the corresponding speed interval index 520 is between 0.9 and 0.55. In this case, 0.9 and 0.55 can be regarded as the above-mentioned second speed interval index and third speed interval index, respectively. Assuming that the RPE value (i.e., sports fatigue) considered is 8, the corresponding speed interval index 530 is between 0.91 and 0.79. In this case, 0.91 and 0.79 can be regarded as the above-mentioned second and third speed interval indexes, respectively. The second and third speed interval indicators corresponding to other RPE values ​​should be deduced based on the above teachings, and will not be repeated here.

[0041] Afterwards, the processor 104 may determine the second boundary speed sp2 based on the fifth relationship between the second speed interval index and the maximum oxygen uptake speed vVO2max, wherein the fifth relationship is represented by: "spz2=sp2 / vVO2max" (Formula (5)). Since the course has a preset RPE, the second speed interval index spz2 can be obtained based on the RPE, so that the second speed interval index spz2 and the maximum oxygen uptake speed vVO2max can be understood as known, so the processor 104 can obtain the first boundary speed sp2 after conversion based on Formula (5), but is not limited to this.

[0042] In addition, the processor 104 can determine the third boundary speed sp3 based on the sixth relationship between the third speed interval index, the maximum oxygen uptake speed vVO2max and the second boundary speed, wherein the sixth relationship is represented by: "spz3=sp3 / vVO2max" (Formula (6)). Since the course has a preset RPE, the second speed interval index spz2 can be obtained based on the RPE, so that the third speed interval index spz3 and the maximum oxygen uptake speed vVO2max can be understood as known, so the processor 104 can obtain the third boundary speed sp3 after conversion based on Formula (6), but is not limited to this.

[0043] After obtaining the second boundary speed sp2 and the third boundary speed sp3, the processor 104 may further determine the upper and lower boundaries of the recommended exercise intensity of the exercise course.

[0044] In the fourth embodiment, the second speed zone index spz2 is an upper limit value obtained from the acquired data, and the third speed zone index spz3 is a lower limit value obtained from the acquired data, so the second boundary speed sp2 is a recommended speed upper limit value, and the third boundary speed sp3 is a recommended speed lower limit value. In another embodiment, the processor 104 can use the larger of the second boundary speed sp2 and the third boundary speed sp3 as the recommended speed upper limit value for user A, and use the smaller of the second boundary speed sp2 and the third boundary speed sp3 as the recommended speed lower limit value for user A.

[0045] Based on the above embodiment, user A can know that when exercising according to the exercise course, he should maintain his speed at the first speed sp1, and it can be suggested to maintain between the second boundary speed sp2 and the third boundary speed sp3, so as to achieve the exercise fatigue corresponding to the exercise course. From the above, it can be seen that the method proposed in the embodiment of the present invention can give personalized exercise intensity suggestions to users, including, for example, heart rate or speed suggestions, so as to help users achieve the desired exercise fatigue, and then achieve the desired exercise intensity and / or exercise goals.

[0046] In the third and fourth embodiments, Figure 5 The curves 511 to 513 shown are based on the measurement results obtained by multiple users while running. Figure 6 , Figure 6 For example, the following is a schematic diagram of the corresponding relationship between the running speed interval and the RPE obtained according to the third and fourth embodiments of the present invention. Figure 6 The upper and lower limits of the speed interval corresponding to each RPE in can be calculated respectively. Figure 5 The speed interval and the upper and lower limits of each RPE can be calculated respectively. Figure 5The values ​​of the upper and lower limits of the speed interval index corresponding to each RPE in , and then obtain curves 513, 511 and 512 respectively. The calculation method can be obtained by the existing method and is not limited here.

[0047] In another embodiment, different measurement results can be obtained for indoor and outdoor running, and then the corresponding relationship between indoor and outdoor RPE and speed interval index can be obtained, which can correspond to indoor and outdoor running courses. Figure 5 The curves 511-513 shown correspond to the measurement results of indoor running. If the exercise course selected by the user is an indoor running course, the first, second and third speed interval indicators spz1, spz2 and spz3 corresponding to the course RPE value can be obtained based on the correspondence between the indoor RPE and the speed interval indicator. On the contrary, if the exercise course selected by the user is an outdoor running course, the first, second and third speed interval indicators spz1, spz2 and spz3 corresponding to the course RPE value can be obtained based on the correspondence between the outdoor RPE and the speed interval indicator. After spz1, spz2 and spz3, the processor 104 can obtain the corresponding first speed sp1, second boundary speed sp2 and third boundary speed sp3 according to formulas (5) and (6). The relevant details can be referred to the description of the previous embodiment, which will not be repeated here.

[0048] Please refer to Figure 7 , which is a schematic diagram of the zooming motion speed according to the second embodiment of the present invention. Figure 7 In the embodiment, the exercise course 700 may be divided into a plurality of time intervals 711 - 717 , and each time interval 711 - 717 may correspond to a preset designated exercise speed / intensity.

[0049] For example, the designated movement speed corresponding to time interval 711 is 4 km / hr, the designated movement speed corresponding to time interval 712 is 6.5 km / hr, and the designated movement speed corresponding to time interval 713 is 7.5 km / hr. The designated movement speeds corresponding to other time intervals 714-717 can be deduced according to the above teachings and will not be further described here.

[0050] In one embodiment, the processor 104 may find the maximum exercise speed of the exercise course 700 from the designated exercise speeds corresponding to the time intervals 711 to 717, and use the maximum exercise speed as the representative speed of the preset RPE of the corresponding exercise course 700. Figure 7For example, the maximum exercise speed of the exercise course 700 is, for example, the designated exercise speed corresponding to the time interval 714 (9 km / hr), and the preset RPE is 2. Then, in one embodiment, assuming that the recommended speed is the first speed sp1, in another embodiment, the upper limit speed may be the second boundary speed sp2 and the lower limit speed may be the third boundary speed sp3, then the processor 104 may, for example, divide the maximum exercise speed by the first speed sp1 corresponding to the user's personal RPE for this course to obtain the scaling factor. Figure 7 In the scenario, if the first speed sp1 corresponding to the REP of 2 is 4.5 km / hr and the maximum movement speed is 9 km / hr, the processor 104 may, for example, determine that the scaling factor is 2 (ie, 9 / 4.5).

[0051] Next, the processor 104 may scale the designated motion speed corresponding to each time interval 711-717 based on the scaling factor. For example, the processor 104 may scale the designated motion speed corresponding to each time interval 711-717 by dividing the designated motion speed corresponding to each time interval 711-717 by the scaling factor.

[0052] exist Figure 7 In the example, assuming that the scaling factor is 2, the designated exercise speed corresponding to each time interval 711-717 after scaling can be adjusted as shown in exercise course 700a. In another embodiment, the upper and lower limits of the designated exercise speed corresponding to each time interval 711-717 can also be suggested at the same time for the user's reference. In one embodiment, the suggested exercise speed and its upper and lower limits can be displayed on a wearable device, such as a watch or a bracelet, so that the user can confirm it at any time when exercising.

[0053] As can be seen from the above, the embodiment of the present invention can convert the sports course 700 into a personalized version corresponding to user A (e.g., sports course 700a) according to the first speed, the second boundary speed, and / or the third boundary speed of the RPE corresponding to the sports course 700 selected by user A. If the user exercises according to the preset exercise speed of the original sports course 700, that is, the maximum exercise speed is 9 km / hr, then although the preset exercise fatigue RPE of this sports course is 2, the user may feel that the exercise intensity is too high, and the RPE is much higher than 2. However, when the speed is adjusted through the present invention, user A can exercise according to the sports course 700a, that is, the maximum exercise speed is adjusted to 4.5 km / hr and the exercise speed of the rider is adjusted accordingly, and the exercise fatigue RPE corresponding to the sports course is 2. It can be seen from this that the method proposed in the embodiment of the present invention can give a personalized exercise speed suggestion to user A, so that user A can have the expected exercise fatigue after training according to the course.

[0054] In addition, the present invention further provides a computer-readable storage medium for executing the exercise intensity scheduling method. The computer-readable storage medium is composed of a plurality of program instructions (e.g., setting program instructions and deployment program instructions) implemented therein. These program instructions can be loaded into the exercise intensity scheduling device 100 and executed by the exercise intensity scheduling device 100 to perform the functions of the above-mentioned exercise intensity scheduling method and the exercise intensity scheduling device 100.

[0055] In summary, after the user selects a sports course, the method of the embodiment of the present invention can provide the user with a corresponding recommended exercise intensity (e.g., exercise speed and / or heart rate) based on the exercise fatigue level corresponding to the exercise course and the user's personal information (e.g., including maximum heart rate, resting heart rate, and / or maximum oxygen uptake speed). In this way, the method of the embodiment of the present invention can provide the user with more personalized exercise suggestions, thereby helping the user to achieve the desired exercise goal and / or exercise intensity.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for scheduling exercise intensity, suitable for an exercise intensity scheduling device, characterized in that: include: Providing a user with a plurality of preset exercise courses through a sports application, wherein each of the plurality of preset exercise courses corresponds to each exercise fatigue level; Obtaining a sports course selected by the user from the plurality of preset sports courses, wherein the sports course corresponds to a sports fatigue degree; Obtaining personal information of a user, wherein the personal information of the user includes a maximum oxygen uptake rate of the user; Obtaining a first speed interval index corresponding to the exercise fatigue degree; determining a first speed based on the first speed zone index and the maximum oxygen uptake speed; Obtaining a speed interval index range corresponding to the exercise fatigue degree, wherein the speed interval index range is between the second speed interval index and the third speed interval index; determining a second boundary speed based on the second speed zone index and the maximum oxygen uptake speed; determining a third boundary speed based on the third speed zone index and the maximum oxygen uptake speed; determining a recommended exercise intensity for the exercise course based on the first speed, the second boundary speed, and the third boundary speed; as well as Providing the recommended exercise intensity of the exercise course, and displaying the recommended exercise intensity on a wearable device; The exercise course includes a plurality of time intervals, the plurality of time intervals respectively correspond to a plurality of specified exercise speeds, and the step of determining the recommended exercise intensity of the exercise course based on the first speed, the second boundary speed, and the third boundary speed includes: Obtaining a maximum movement speed among the plurality of specified movement speeds; determining a scaling factor based on the first speed and the maximum motion speed; scaling the plurality of specified motion speeds based on the scaling factor; and The upper and lower limits of the plurality of designated motion speeds are determined based on the scaling factor.

2. The method according to claim 1, wherein the step of determining the first speed based on the first speed zone index and the maximum oxygen uptake speed comprises: The first speed is determined based on a fourth relationship between the first speed interval index, the maximum oxygen uptake speed, and the first speed, wherein the fourth relationship is represented as follows: spz1=sp1 / vVO2max Wherein spz1 is the first speed interval index, sp1 is the first speed, and vVO2max is the maximum oxygen uptake speed.

3. The method according to claim 1, wherein the step of determining the second boundary speed based on the second speed zone index and the maximum oxygen uptake speed comprises: The second boundary speed is determined based on a fifth relationship among the second speed interval index, the maximum oxygen uptake speed, and the second boundary speed, wherein the fifth relationship is represented as follows: spz2=sp2 / vVO2max Wherein spz2 is the second speed interval index, sp2 is the second boundary speed, vVO2max is the maximum oxygen uptake speed, The step of determining the third boundary speed based on the third speed interval index and the maximum oxygen uptake speed includes: The third boundary speed is determined based on a sixth relationship between the third speed interval index, the maximum oxygen uptake speed, and the third boundary speed, wherein the sixth relationship is represented as: spz3=sp3 / vVO2max Wherein spz3 is the third speed interval index, and sp3 is the third boundary speed.

4. An exercise intensity arrangement device, characterized in that: include: a storage circuit storing program code; as well as A processor is coupled to the storage circuit and accesses the program code to execute the method according to any one of claims 1 to 3.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium records an executable computer program, and the executable computer program is loaded by an exercise intensity scheduling device to execute the method according to any one of claims 1 to 3.

Images