Partial massage force adjusting method and device

Abstract

A partial massage force adjusting method includes the following steps of: controlling a massage device to massage a partial position of a user with a preset massage force; measuring a heart rate data of the user with a first time length to generate a first heart rate data; analyzing the first heart rate data by frequency domain analysis to generate an autonomic nervous system balance index corresponding to the partial position; and calculating the autonomic nervous system balance index, a target balance index range and the preset massage force through an analytical assessment model to selectively generate an updated massage force. The partial massage force adjusting method can adjust the optimal massage force for each partial position of the body according to heart rate feedback of the user, to make the user feel physically and mentally comfortable, thereby improving comfort and experience effect.

Description

[Technical Field]

[0001] The present invention relates to a method and apparatus for controlling a massage force force, and more explicitly, with respect to a method and apparatus for adjusting a local massage force force. [Previous Technology]

[0002] With the flourishing of technology, people's quality of life and operational efficiency have improved significantly. Due to the pace of efficient work, people are increasingly stressed, which can cause anxiety, depression psychologically, and physiologically it can cause muscle tightness, fatigue, body aches, and even headaches and insomnia. Therefore, people use massage as one of the ways to relieve stress to get physical and mental relaxation.

[0003] Generally, people use massage chairs to massage all parts of the body. Existing massage chairs allow for manual selection of massage mode or massage force. When the user feels that the massage force is undesirable, the user can adjust the output force of the massage to become a feedback loop with the massage chair. However, due to the different levels of fatigue / soreness and condition of users each time they use the massage chair, the user needs to constantly adjust the massage force to get the desired massage force, thereby reducing the experience. In addition, the existing massage chairs have the same massage force for each body part, while the muscle mass distribution and degree of force are different for each part of the user. Therefore, when the massage force of each body part is the same, some parts not only cannot be relieved but will cause pain, thereby reducing comfort and experiential effects. [Invention Contents]

[0004] In view of this, one category of the present invention provides a method of local massage force adjustment to address a problem with the previous technique. In a specific embodiment, the local massage force adjustment method comprises the following steps: controlling the massage device to preset massage force massage a local position of the user, measuring the user's heart rate over the first length of time to generate first heart rate data, performing frequency domain analysis of the first heart rate data to generate an autonomic nervous system balance index corresponding to the local location;

[0005] The method for adjusting local massage intensity further includes the following steps: controlling the massage device to update the massage intensity to massage the local position of the user; measuring the user's heart rate at a second time length and generating second heart rate data based on the heart rate at the second time length and the first heart rate data, wherein the second time length is shorter than the first time length; and performing frequency domain analysis on the second heart rate data to generate an updated autonomic nervous system balance index corresponding to the local position.

[0006] In the step of calculating the autonomic nervous system balance index, the target balance index range, and the preset massage force using the analysis and evaluation model to selectively generate an updated massage force, the step further includes the following steps: determining whether the autonomic nervous system balance index is within the target balance index range; and when the autonomic nervous system balance index is greater than the target balance index range, the analysis and evaluation model generates an updated massage force, wherein the updated massage force is greater than the preset massage force.

[0007] The local massage force adjustment method further includes the following steps: when the updated autonomic nerve balance index is greater than the autonomic nerve balance index, the analysis and evaluation model generates an updated massage force, wherein the updated massage force is less than the preset massage force.

[0008] The first time duration is between 3 and 5 minutes, and the second time duration is 1 minute.

[0009] Among them, the analysis and evaluation model is a linear regression model.

[0010] Another aspect of the present invention provides a local massage intensity adjustment device for controlling a massage device to massage a user, thereby solving the problems of the prior art. In one specific embodiment, the local massage intensity adjustment device includes a control unit, a heart rate measurement unit, and an analysis and calculation unit. The control unit is used to control the massage elements of the massage device to massage a local position of the user with a preset massage intensity. The heart rate measurement unit is used to measure the user's heart rate for a first time period to generate first heart rate data. The analysis and calculation unit is connected to the heart rate measurement unit and pre-stores a target balance index range. The analysis and calculation unit is used to perform frequency domain analysis on the first heart rate data to generate an autonomic nervous system balance index corresponding to the local position, and calculates the autonomic nervous system balance index, the target balance index range, and the preset massage intensity using an analysis and evaluation model to selectively generate updated massage intensity.

[0011] The control unit controls the massage device to update the massage intensity and massage the user's local position. The heart rate measurement unit measures the user's heart rate at a second time length and generates second heart rate data based on the heart rate at the second time length and the first heart rate data. The analysis and calculation unit performs frequency domain analysis on the second heart rate data to generate an updated autonomic nervous system balance index corresponding to the local position. The second time length is shorter than the first time length.

[0012] The control unit controls the massage element to sequentially massage the user's first local position and second local position with the preset massage force. The first heart rate data generated by the heart rate measurement unit includes first position heart rate data corresponding to the first local position and second position heart rate data corresponding to the second local position. The analysis and calculation unit performs frequency domain analysis on the first heart rate data to generate a first autonomic nervous system balance index corresponding to the first local position and a second autonomic nervous system balance index corresponding to the second local position.

[0013] The analysis and calculation unit calculates the first autonomic nervous system balance index, the target balance index range, and the preset massage force using an analysis and evaluation model to generate a first position update massage force. The control unit controls the massage device to massage the user's first local position with the first position update massage force, and the heart rate measurement unit measures the user's heart rate for a second time period and generates second heart rate data based on the heart rate for the second time period and the first heart rate data.

[0014] The analysis and calculation unit calculates the second autonomic nervous system balance index, the target balance index range, and the preset massage force using an analysis and evaluation model to generate a second position update massage force. The control unit controls the massage device to massage the user's second local position with the second position update massage force, and the heart rate measurement unit measures the user's heart rate at a third time length and generates third heart rate data based on the heart rate at the third time length, the first heart rate data, and the second heart rate data.

[0015] In summary, the local massage intensity adjustment method and device of the present invention can adjust the optimal massage intensity based on the user's heart rate feedback. Furthermore, the local massage intensity adjustment method and device of the present invention can also automatically adjust the optimal massage intensity of each local position according to different massage positions, allowing the user to feel physically and mentally comfortable during massage, thereby improving comfort and experience. [Simplified Explanation of the Diagram]

[0041] Figure 1 is a flowchart of the steps of a local massage force adjustment method according to a specific embodiment of the present invention.

[0042] Figure 2 is a functional block diagram of a local massage force adjustment device according to a specific embodiment of the present invention.

[0043] Figure 3 is a flowchart of the steps of a local massage force adjustment method according to a specific embodiment of the present invention.

[0044] Figure 4 is a flowchart of the steps of a local massage force adjustment method according to a specific embodiment of the present invention.

[0045] Figure 5 is a simplified schematic diagram of the measurement time in a specific embodiment of the present invention.

Implementation Method

[0016] To make the advantages, spirit, and features of the present invention more readily and clearly understood, detailed descriptions and discussions will follow with reference to the accompanying drawings. It is important to note that these embodiments are merely representative examples of the present invention, and the specific methods, apparatuses, conditions, etc., exemplified are not intended to limit the present invention or the corresponding embodiments. Furthermore, the indefinite articles “a,” “an,” and “an” preceding the apparatus or element of the present invention do not impose a limit on the quantity (i.e., the number of times) of the apparatus or element. Therefore, “a” should be interpreted as including one or at least one, and singular forms of apparatus or elements also include plural forms, unless the quantity clearly refers to the singular form.

[0017] Please refer to Figure 1. Figure 1 is a flowchart illustrating the steps of a local massage intensity adjustment method according to a specific embodiment of the present invention. In this specific embodiment, the local massage intensity adjustment method includes the following steps: Step S1: Controlling the massage device to massage a local area of ​​the user with a preset massage intensity; Step S2: Measuring the user's heart rate for a first time period to generate first heart rate data; Step S3: Performing frequency domain analysis on the first heart rate data to generate an autonomic nervous system balance index corresponding to the local area; and Step S4: Calculating the autonomic nervous system balance index, the target balance index range, and the preset massage intensity using an analysis and evaluation model to selectively generate updated massage intensity.

[0018] In step S1, the massage device can be a massage chair, and the user can sit on it. The massage device can include a plurality of massage elements, and each massage element can correspond to different local positions of the user's body for massage. The preset massage intensity is the massage intensity when the massage device is started, and can be the massage intensity built into the massage device, the factory, or the initial massage mode, but is not limited to these. The preset massage intensity can also be the massage intensity during the previous operation, the massage intensity recorded in the user's history, or the massage intensity set by the user. Furthermore, different parts of the user's body can also correspond to a preset massage intensity.

[0019] In step S2, the heart rate can be the user's electrocardiogram (ECG or EKG) during the massage. Further, when the massage device massages a specific area of ​​the user, an ECG corresponding to that area can be measured. The first time length can be a preset measurement time. In one specific embodiment, the first time length can be between 3 and 5 minutes, but in practice it is not limited to this. The first time length can also be determined according to the design or is sufficient to measure the user's sympathetic nervous system state during the massage. The first heart rate data is the heart rate data measured by the massage device during the first time length.

[0020] In step S3, after frequency domain analysis of the first heart rate data, heart rate variability (HRV) can be generated, and HRV can include SDNN, RMSSD, LF, and HF. LF reflects the activity of the sympathetic nervous system and can be the total power of the first heart rate data in the low-frequency range (0.04Hz-0.15Hz) after frequency domain analysis. HF reflects the activity of the parasympathetic nervous system and can be the total power of the first heart rate data in the high-frequency range (0.15Hz-0.4Hz) after frequency domain analysis. The autonomic nervous system balance index is the ratio of sympathetic to parasympathetic activity (LF / HF) and can be used as an indicator of the user's level of comfort. Similarly, when the massage device massages a specific area of ​​the user, an autonomic nervous system balance index corresponding to that area can also be generated.

[0021] In step S4, the target balance index range can be the range of autonomic nervous system balance indexes that provide a good level of comfort for the user, and the target balance index range can be an index range generated through the analysis and integration of big data. In a specific embodiment, the target balance index range can be 1.5-2.5, but is not limited to this. The analysis and evaluation model can be generated by analyzing and training a large amount of historical massage force, historical autonomic nervous system balance index, and target balance index range through machine learning. In a specific embodiment, the analysis and evaluation model can be a linear regression model. Therefore, the analysis and evaluation model can calculate the relationship between the autonomic nervous system balance index and the target balance index range to selectively adjust the preset massage force, thereby generating an updated massage force.

[0022] Please refer to Figures 1 and 2 together. Figure 2 is a functional block diagram of a local massage intensity adjustment device 1 according to a specific embodiment of the present invention, and the steps in Figure 1 can be achieved through the local massage intensity adjustment device 1 in Figure 2. As shown in Figure 2, in this specific embodiment, the local massage intensity adjustment device 1 is used to connect to and control the massage device 5. The local massage intensity adjustment device 1 includes a control unit 11, a heart rate measurement unit 12, and an analysis and calculation unit 13. The control unit 11 can store a preset massage intensity to control the massage element 51 of the massage device 5 to massage the user with the preset massage intensity. The heart rate measurement unit 12 is used to measure the user's heart rate to generate heart rate data. The analysis and calculation unit 13 is connected to the heart rate measurement unit 12. The analysis and calculation unit 13 can be an analysis and calculation chip, which performs frequency domain analysis on the heart rate data measured by the heart rate measurement unit 12 to generate an autonomic nervous system balance index, and uses the analysis and evaluation model 131 to calculate the autonomic nervous system balance index, the target balance index range, and the preset massage intensity to selectively generate updated massage intensity. In practice, the control unit 11 can be a control processing chip (such as a CPU) and can be connected to or integrated into the control panel of the massage device 5. The heart rate measurement unit 12 can be a heart rate sensor or an ECG sensor. The analysis and calculation unit 13 can pre-store the target balance index range and can include an analysis and evaluation model 131. Furthermore, the control unit 11 and the analysis and calculation unit 13 can be different chips or integrated into a single chip.

[0023] In practical applications, when a user performs a localized massage (e.g., neck massage), the control unit 11 first identifies the preset massage intensity corresponding to the neck and controls the massage element 51 to perform the massage. At this time, the heart rate measurement unit 12 simultaneously measures the user's heart rate. After the heart rate measurement unit 12 measures for a first time period, it generates the first heart rate data corresponding to the neck. Next, the analysis and calculation unit 13 performs frequency domain analysis on the first heart rate data to generate the autonomic nervous system balance index corresponding to the neck. Finally, the analysis and calculation unit 13 calculates the autonomic nervous system balance index, the target balance index range, and the preset massage intensity through the analysis and evaluation model 131 to selectively generate an updated massage intensity corresponding to the neck.

[0024] As shown in Figures 1 and 3, Figure 3 is a flowchart illustrating the steps of a local massage force adjustment method according to a specific embodiment of the present invention. In this specific embodiment, step S4 further includes the following steps: Step S41: Determine whether the autonomic nerve balance index is within the target balance index range. If the determination result is negative and the autonomic nerve balance index is greater than the target balance index range, then step S42 is executed: Analyze and evaluate the model to generate an updated massage force, wherein the updated massage force is greater than the preset massage force. If the determination result is positive, then step S43 is executed: Use the preset massage force as the optimal massage force.

[0025] In practical applications, after the analysis and calculation unit 13 generates the corresponding autonomic nervous system balance index for the neck, it determines whether the autonomic nervous system balance index is within the target balance index range. When the autonomic nervous system balance index is not within the target balance index range, it indicates that the current massage force (i.e., the preset massage force) will cause a decrease in the user's comfort. Furthermore, when the autonomic nervous system balance index is greater than the target balance index range, the analysis and calculation unit 13 will calculate and generate an updated massage force that is greater than the preset massage force through the analysis and evaluation model 131. In practice, the analysis and evaluation model 131 of the analysis and calculation unit 13 can generate an updated massage force based on the difference between the autonomic nervous system balance index and the target balance index range, as well as the preset massage force, using a linear regression calculation method. When the autonomic nervous system balance index is within the target balance index range, it indicates that the current massage force can provide good comfort to the user. At this time, the analysis and calculation unit 13 will use the preset massage force as the optimal massage force for the neck.

[0026] Figure 4 is a flowchart illustrating the steps of a local massage intensity adjustment method according to a specific embodiment of the present invention. The steps in Figure 4 can be achieved through the local massage intensity adjustment device 1 in Figure 2. After the analysis and calculation unit 13 calculates and generates an updated massage intensity, step S5 is executed: the control unit 11 controls the massage device 5 again to update the massage intensity to massage the user's local position; step S6: the user's heart rate is measured at a second time length and second heart rate data is generated based on the heart rate at the second time length and the first heart rate data, wherein the second time length is shorter than the first time length; and step S7: the second heart rate data is subjected to frequency domain analysis to generate an updated autonomic nervous system balance index corresponding to the local position.

[0027] In step S6, the second time length can be the length of time the massage device 5 massages the local area again. In one specific embodiment, the second time length is 1 minute, but it is not limited to this. After the heart rate measuring unit 12 measures the user's heart rate at the second time length, the heart rates at the first time length and the second time length can be combined to generate second heart rate data.

[0028] In step S7, the analysis and calculation unit 13 performs frequency domain analysis on the heart rate of the second time length and part of the heart rate of the first time length in the second heart rate data to generate the updated autonomic nerve balance index of the corresponding local location.

[0029] Figure 5 is a simplified schematic diagram of the measurement time according to a specific embodiment of the present invention. As shown in Figure 5, the horizontal axis represents time, and each scale represents the length of a unit of time (e.g., 1 minute). When the control unit controls the massage device to perform massage and the heart rate measurement unit measures the user's heart rate data D1 for a first time length T1 (i.e., minutes 1-5) to generate first heart rate data D1, the analysis and calculation unit performs frequency domain analysis on the first heart rate data D1 to generate an autonomic nervous system balance index. At this time, the duration of the first time length T1 can be the analysis time length of the analysis and calculation unit (i.e., 5 minutes). Next, when the control unit controls the massage device to perform massage again and the heart rate measurement unit measures the user's heart rate for a second time length T2 (i.e., minute 6), the analysis and calculation unit performs frequency domain analysis on the heart rate data D2, which includes the heart rate of the second time length T2 and has the same analysis time length, to generate an updated autonomic nervous system balance index. That is, the analysis and calculation unit analyzes the second heart rate data D2 for minutes 2-6. In other words, the analysis and calculation unit analyzes and calculates the user's latest autonomic nervous system balance index in an iterative manner.

[0030] As shown in Figure 4, after step S7, the following steps are also included: Step S8: Determine whether the updated autonomic nervous system balance index is greater than the autonomic nervous system balance index. If the determination result is yes, then execute step S9: Analyze and evaluate the model to generate the latest massage force, wherein the updated massage force is less than the preset massage force. If the determination result is no, then execute step S101: Determine whether the updated autonomic nervous system balance index is within the target balance index range. If the determination result is no and when the updated autonomic nervous system balance index is greater than the target balance index range, then execute step S102: Analyze and evaluate the model to calculate the updated autonomic nervous system balance index, the target balance index range, and the preset massage force to generate the updated massage force. If the determination result is yes, then execute step S103: Use the updated massage force as the optimal massage force.

[0031] In practical applications, after the analysis and calculation unit 13 generates the updated autonomic nervous system balance index, it compares and judges the updated autonomic nervous system balance index and the autonomic nervous system balance index. When the updated autonomic nervous system balance index is greater than the autonomic nervous system balance index, it indicates that the first adjusted updated massage force (i.e., the first updated massage force) will cause a greater decrease in the user's comfort. At this time, the analysis and calculation unit 13 will calculate and generate an updated massage force (i.e., the second updated massage force) that is less than the preset massage force through the analysis and evaluation model 131. When the updated autonomic nervous system balance index is less than the autonomic nervous system balance index, it will further judge whether the updated autonomic nervous system balance index is within the target balance index range. When the updated autonomic nervous system balance index is greater than the target balance index range, the analysis and calculation unit 13 can generate an updated massage force (i.e., the second updated massage force) based on the difference between the updated autonomic nervous system balance index and the target balance index range and the preset massage force using a linear regression calculation method. When the updated autonomic nervous system balance index is within the target balance index range, it indicates that the first adjusted updated massage intensity (i.e., the first updated massage intensity) provides good comfort to the user. At this time, the analysis and calculation unit 13 uses the first updated massage intensity as the optimal massage intensity for the neck. It is worth noting that the second updated massage intensity can also be adjusted to the optimal massage intensity by calculating the user's autonomic nervous system balance index through the aforementioned steps. Therefore, the local massage intensity adjustment method and device of the present invention can adjust the optimal massage intensity based on the user's heart rate feedback, allowing the user to feel physically and mentally comfortable during the massage, thereby improving comfort and experience.

[0032] The local massage intensity adjustment method and apparatus of the present invention can adjust the optimal massage intensity for a single local location, as well as for multiple local locations. In one specific embodiment, the control unit 11 can be connected to multiple massage elements 51 in the massage device 5 corresponding to multiple different local locations, and perform massage by moving / rotating individually, simultaneously, partially simultaneously, or sequentially. The massage elements 51 can be preset with massage intensity to sequentially massage the user's back, waist, buttocks, hands, and legs. The heart rate measurement unit 12 can measure the heart rate of these local locations for a first time period (5 minutes) to generate first heart rate data.

[0033] It is worth noting that the control unit 11 can control the massage element 51 to massage the local positions several times in a cycle, so that the heart rate measurement unit 12 can more accurately measure the heart rate corresponding to the local positions. Next, the analysis and calculation unit 13 can perform frequency domain analysis on the first heart rate data to generate the autonomic nervous system balance index corresponding to the local positions, and then calculate the autonomic nervous system balance index, target balance index range and preset massage force for each local position through the analysis and evaluation model 131 to generate the optimal massage force for each local position.

[0034] For example, the control unit 11 controls the massage element 51 to massage the user's back (first local position), waist (second local position), and hand (third local position) sequentially with a preset massage intensity. At this time, the first heart rate data generated by the heart rate measurement unit 12 includes the heart rate data corresponding to the first position of the back, the heart rate data corresponding to the second position of the waist, and the heart rate data corresponding to the third position of the hand. The analysis and calculation unit 13 performs frequency domain analysis on the first heart rate data to generate a first autonomic nervous system balance index, a second autonomic nervous system balance index, and a third autonomic nervous system balance index corresponding to the back, waist, and hand, respectively.

[0035] When the autonomic nervous system balance index analyzed by the analysis and calculation unit 13 is: 2.8 for the back, 3.0 for the waist, and 2.0 for the hands. The target balance index range is 1.2-2.5. At this time, the autonomic nervous system balance index of the hands is within the target balance index range, so the analysis and calculation unit 13 will not adjust the massage force of the hands, and will use the preset massage force as the optimal massage force for the hands. The autonomic nervous system balance indices of the back and waist are both greater than the target balance index range, so the analysis and calculation unit 13 uses the analysis and evaluation model 131 to calculate the first autonomic nervous system balance index, the target balance index range, and the preset massage force to generate the updated massage force for the back (i.e., the first position updated massage force), and calculates the second autonomic nervous system balance index, the target balance index range, and the preset massage force to generate the updated massage force for the waist (i.e., the second position updated massage force).

[0036] After the control unit 11 sequentially massages the user's back, waist, and hands for the first time duration, the control unit 11 will massage a specific area for each time duration. As shown in Figure 5, the second time duration T2 is for massaging the user's back, the third time duration T3 is for massaging the user's waist, and the fourth time duration T4 is for massaging the user's hands. Furthermore, the control unit 11 can control the massage element 51 to cyclically massage these areas; therefore, the fifth time duration T5 is for massaging the user's back again, the sixth time duration is for massaging the user's waist again, and so on.

[0037] After the control unit 11 massages the user's back again with updated back massage force (first position updated massage force) and the heart rate measurement unit 12 measures the user's heart rate at the second time length T2, the analysis and calculation unit 13 uses the heart rate at the 2nd to 5th minute of the first time length T1 and the 6th minute of the second time length T2 as the second heart rate data D2 for frequency domain analysis and generates the corresponding updated autonomic nervous system balance index for the back. Then, the analysis and calculation unit 13 selectively adjusts the back massage force according to the aforementioned method. Similarly, after the control unit 11 massages the user's waist again with updated waist massage force (i.e., second position updated massage force) and the heart rate measurement unit 12 measures the user's heart rate at the third time length T3, the analysis and calculation unit 13 uses the heart rate at the 3rd to 5th minute of the first time length T1, the 6th minute of the second time length T2, and the 7th minute of the third time length T3 as the third heart rate data D3 for frequency domain analysis and generates the corresponding updated autonomic nervous system balance index for the waist. Next, the analysis and calculation unit 13 selectively adjusts the massage intensity of the waist according to the aforementioned method. When the control unit 11 massages the hand again during the fourth time period T4, the control unit 11 still massages the user's hand with the preset massage intensity.

[0038] In summary, the local massage intensity adjustment method and device of the present invention can adjust the optimal massage intensity according to the user's heart rate feedback. The local massage intensity adjustment method and device of the present invention can also automatically adjust the optimal massage intensity of each local position according to different massage positions, so that the user can feel comfortable in body and mind during the massage, thereby improving comfort and experience.

[0039] The detailed description of the above embodiments is intended to clearly illustrate the features and spirit of the present invention, and is not intended to limit the present invention to the preferred embodiments disclosed above. Rather, the aim is to cover various changes and equivalent arrangements within the scope of the patent claims made by the present invention. Therefore, the scope of the patent claims made by the present invention should be interpreted in the broadest possible sense based on the foregoing description, so as to cover all possible changes and equivalent arrangements.

Claims

1. A method for adjusting the intensity of localized massage, comprising the following steps: Control a massage device to massage a specific area of ​​a user with a preset massage intensity; The user's heart rate is measured at a first time interval to generate first heart rate data; Frequency domain analysis was performed on the first heart rate data to generate an autonomic balance index corresponding to this local location; and An analytical evaluation model is used to calculate the autonomic nervous system balance index, a target balance index range, and the preset massage intensity to selectively generate an updated massage intensity.

2. The method for adjusting local massage intensity as described in claim 1 further includes the following steps: Control the massage device to massage the user's local area with the updated massage intensity; Measure the user's heart rate at a second time length and generate second heart rate data based on the heart rate at the second time length and the first heart rate data, wherein the second time length is shorter than the first time length; and The second heart rate data was subjected to frequency domain analysis to generate an updated autonomic nervous system balance index corresponding to the local location.

3. The method for adjusting local massage intensity as described in claim 1, wherein the step of calculating the autonomic nervous system balance index, the target balance index range, and the preset massage intensity using the analysis and evaluation model to selectively generate the updated massage intensity further includes the following steps: Determine whether the autonomic nervous system balance index is within the range of the target balance index; and When the autonomic nervous system balance index is greater than the target balance index range, the analysis and evaluation model generates the updated massage force, wherein the updated massage force is greater than the preset massage force.

4. The method for adjusting local massage intensity as described in claim 2 further includes the following steps: When the updated autonomic nervous system balance index is greater than the autonomic nervous system balance index, the analysis and evaluation model generates the updated massage force, wherein the updated massage force is less than the preset massage force.

5. The method for adjusting local massage intensity as described in claim 2, wherein the first time duration is between 3 and 5 minutes, and the second time duration is 1 minute.

6. The method for adjusting local massage force as described in claim 1, wherein the analysis and evaluation model is a linear regression model.

7. A local massage intensity adjustment device for controlling a massage device to massage a user, the local massage intensity adjustment device comprising: A control unit is used to control a massage element of the massage device to massage a local area of ​​the user with a preset massage intensity; A heart rate measurement unit is used to measure the user's heart rate over a first time duration to generate first heart rate data; and An analysis and calculation unit is connected to the heart rate measurement unit and a target balance index range is pre-stored. The analysis and calculation unit is used to perform frequency domain analysis on the first heart rate data to generate an autonomic nervous balance index corresponding to the local location, and to calculate the autonomic nervous balance index, the target balance index range and the preset massage force using an analysis and evaluation model to selectively generate an updated massage force.

8. The local massage intensity adjustment device as described in claim 7, wherein the control unit controls the massage device to massage the user's local location with the updated massage intensity, the heart rate measurement unit measures the user's heart rate at a second time length and generates a second heart rate data based on the heart rate at the second time length and the first heart rate data, and the analysis and calculation unit performs frequency domain analysis on the second heart rate data to generate an updated autonomic nervous system balance index corresponding to the local location, wherein the second time length is shorter than the first time length.

9. The local massage intensity adjustment device as described in claim 7, wherein the control unit controls the massage element to sequentially massage a first local position and a second local position of the user with the preset massage intensity, the first heart rate data generated by the heart rate measurement unit includes a first position heart rate data corresponding to the first local position and a second position heart rate data corresponding to the second local position, and the analysis and calculation unit performs frequency domain analysis on the first heart rate data to generate a first autonomic nervous system balance index corresponding to the first local position and a second autonomic nervous system balance index corresponding to the second local position.

10. The local massage intensity adjustment device as described in claim 9, wherein the analysis and calculation unit calculates the first autonomic nervous system balance index, the target balance index range, and the preset massage intensity using the analysis and evaluation model to generate a first position update massage intensity, the control unit controls the massage device to massage the user's first local position with the first position update massage intensity, and the heart rate measurement unit measures the user's heart rate for a second time period and generates second heart rate data based on the heart rate for the second time period and the first heart rate data.

11. The local massage intensity adjustment device as described in claim 10, wherein the analysis and calculation unit calculates the second autonomic nervous system balance index, the target balance index range, and the preset massage intensity using the analysis and evaluation model to generate a second position update massage intensity, the control unit controls the massage device to massage the user's second local position with the second position update massage intensity, and the heart rate measurement unit measures the user's heart rate at a third time length and generates a third heart rate data based on the heart rate at the third time length, the first heart rate data, and the second heart rate data.

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