CN114767080A - Method for eliminating step counting error of wearable equipment and wearable equipment - Google Patents

Abstract

The wearable equipment can monitor the environmental temperature variation, the heart rate variation of a wearer, acceleration data and a wrist pressure value in real time, detect whether the error step counting exists or not simultaneously in two modes according to the data, eliminate the error step counting caused by bumping or shaking after the wearer enters a vehicle, monitor and early warn heart rate mutation caused by non-motion factors and timely seek medical advice.

Description

A method and wearable device for eliminating step counting error of wearable device

technical field

The invention relates to the field of wearable devices, in particular to a method for eliminating pedometer errors of the wearable device and the wearable device.

Background technique

A wearable device is a portable device that is worn directly on the body or integrated into the user's clothing or accessories. Most wearable devices already have some computing functions, can be connected to mobile phones, and exist in the form of portable accessories for various smart terminals, mainly including smart watches, smart bracelets, smart glasses, and smart sports shoes.

In recent years, with people's attention to health, sports wearable devices have attracted more and more attention and become the most popular product type. Running wearable devices have sports monitoring functions, such as pedometer function, heart rate monitoring function, etc., and encourage people to participate in healthy sports by monitoring the user's exercise data volume and physical indicators. The current wearable devices are mostly smart watches and smart bracelets. In addition to the original functions of step counting, sleep monitoring, and heart rate detection, existing smart watches or smart bracelets have gradually begun to add functions such as body fat rate, electrocardiogram, and blood pressure measurement.

A smart watch or smart bracelet is a wearable smart device. After wearing it, users can record real-time data such as exercise, sleep, and diet in daily life, and synchronize these data with mobile phones and tablets to guide health through data. The role of life, smart bracelet as a technology product that has attracted much attention from users, its powerful functions are quietly infiltrating and changing people's lives.

Smart watches or smart bracelets are the most common wearable devices in daily life, and their most basic application is to record the daily steps of the wearer. As the public pays more and more attention to physical health and the concept of scientific exercise continues to be popularized, it has been widely used as a means to monitor the amount of exercise. And it can help monitor the daily activities of people with obesity and metabolic-related diseases, and help them formulate exercise prescriptions, thereby promoting their health and developing good living habits. According to research evidence, most researchers recommend walking 10,000 steps per day, which is beneficial to physical health and helps prevent the occurrence of chronic diseases; brisk walking 2,000 steps per day can effectively reduce the risk of disease. According to an early meta-analysis, the results showed that the use of pedometers in older adults significantly increased their physical activity and significantly decreased their BMI and blood pressure. Outdoor activities have a positive effect on preventing myopia and obesity in children and enhancing health indicators in adults and the elderly.

However, when the environment is switched, such as switching from the outdoors to the interior of the vehicle, and when the road conditions are not good, it is easy to mistakenly record bumps or jitters and other situations to record the wrong steps.

At the same time, when the wearable device is worn incorrectly, for example, if it is worn too loosely and does not fully contact the human body at the wearing part, the followability between the wearable device and the human body is not good, and steps may be counted incorrectly or missed.

SUMMARY OF THE INVENTION

In order to solve the above-mentioned technical problems existing in the prior art, the present invention provides a method for eliminating the step counting error of a wearable device, including:

The wearable device monitors the change in ambient temperature, the change in the wearer's heart rate and acceleration data in real time; the controller in the wearable device calculates the speed and displacement according to the acceleration data;

If the ambient temperature change is greater than the temperature change threshold Tt, and the heart rate change is greater than the heart rate change threshold Thb, and the displacement exceeds the common building coverage Td, if the wearable device continues to count steps, all The controller determines that the wearer enters the vehicle and has miscounted steps, and the controller clears the missteps.

Preferably, after the controller determines that the wearer enters the vehicle and miscounts steps, the wearable device makes a data request to the connected smart terminal device, and calls the GPS signal of the smart terminal or Beidou signal to verify the velocity and/or the displacement.

Preferably, the wearable device is provided with a wristband, the wristband is provided with a pressure sensor, and the controller acquires the pressure value of the pressure sensor in real time.

Preferably, if the controller determines that the pressure value is less than the threshold value T1, the linear motor in the wearable device sends a first vibration signal, and if the pressure value is greater than the threshold value Th, the linear motor sends a second vibration signal , where Th>Tl.

Preferably, the controller calculates the similarity between the pressure signal waveform and the pressure signal waveform during normal pedometer counting in real time. If the similarity is greater than the pedometer similarity threshold Ts, the controller determines that the pedometer is normal. Step counting, otherwise, it is judged that it is a wrong step counting, and the step counting is cleared.

Preferably, if the controller detects that the heart rate is greater than the heart rate variation threshold Thb, and the similarity is less than the step similarity threshold Ts, it is determined that the abnormal heart rate is caused by non-exercise factors, and at this time, the wearable device is in the wearable device. The linear motor sends a third vibration signal.

Preferably, when the wearable device sends out the third vibration signal in time, it performs a remote alarm, and sends the abnormal information to the hospital or family members in time.

The present invention also provides a wearable device for eliminating step counting error, the wearable device includes a wearable main body and a wristband for carrying the wearable main body, the wearable main body includes a controller module, a heart rate acquisition module, a temperature an acquisition module, an acceleration data acquisition module, a communication module and a linear motor; the wristband is provided with a wrist pressure acquisition module.

The beneficial effects of the present invention are:

1. The wearable device can monitor whether the wearer's environment has changed according to the temperature change and the heart rate change;

2. Integrate the data monitored by the acceleration sensor inside the wearable device to obtain the speed and displacement of the wearer, and combine the temperature change and heart rate change to comprehensively determine whether the wearer is inside the vehicle; When the wearer is inside the vehicle, it will continue to count steps to determine that there is no wrong step count, and eliminate it;

3. Use the smart terminal interconnected with the wearable device to verify the velocity and displacement data obtained by the acceleration integration to avoid misjudgment;

4. Use the pressure sensor set on the wristband to monitor the pressure value in real time, and accordingly determine whether the wearable device is worn correctly, and send out different vibration signals to remind;

5. Calculate the similarity between the waveform of the real-time pressure sensor signal and the waveform of the pressure sensor signal in the normal step counting state, if it is lower than the threshold, it is judged that there is a wrong step count;

6. The pressure sensor is not only used to determine whether the wearable device is worn correctly, but also can be used to monitor whether there is a wrong step count;

7. The two erroneous step monitoring methods run in parallel. If any erroneous step is detected, it will be judged that there is a erroneous step, and the corresponding number of steps will be excluded or cleared, which improves the detection efficiency of the wearable device. accuracy;

8. When the wearable device detects obvious changes in the heart rate, if the pressure sensor signal does not monitor the step count, or the pressure sensor signal does not show obvious changes, it is judged that the abnormal heart rate is caused by non-exercise factors, and the wearer will be tested. remind.

Description of drawings

Figure 1 represents the resulting block diagram of the wearable device;

Fig. 2 shows the flow chart of eliminating the step counting error of the wearable device;

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some, but not all, embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art fall within the protection scope of the present invention.

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the indicated device or element must have a specific orientation or a specific orientation. construction and operation, and therefore should not be construed as limiting the invention. Furthermore, the terms "first", "second", and "third" are used for descriptive purposes only and should not be construed to indicate or imply relative importance.

Example 1

Nowadays, with the rapid development and popularization of wearable devices, in general mainstream wearable devices have basic functions such as step counting, temperature measurement, and heart rate measurement, and wearable devices can also be connected to smart terminals such as smartphones. , to achieve data synchronization between the two, quick settings and other functions. At this stage, the most commonly used wearable devices are smart bracelets or smart watches. Specifically, as shown in FIG. 1 , the wearable device in this embodiment specifically includes a controller module, a heart rate acquisition module, a temperature acquisition module, a wrist pressure acquisition module, an acceleration data acquisition module, a communication module, and a linear motor.

Wearable devices such as smart bracelets or smart watches all have the function of pedometer, and the acceleration acquisition module is used for pedometer. However, there are technical problems of inaccurate pedometer, especially when the arm trembles when it is in a relatively static state. In the case of bumps or bumps, wrong step counting occurs, or the wearable setting is unreasonable, resulting in poor followability between the wearable device and the arm, and inaccurate step counting.

The specific situation is as follows. In the case of trembling or bumpy arms, miscalculation of steps most often occurs in vehicles such as cars, and the vehicle is walking on a relatively bumpy road. At this time, the arm will follow the ups and downs of the road. Jitter, at this time, the three-axis acceleration sensor used for step counting in the wearable setting will detect the change of the acceleration value, and then mistake the bump or jitter for step counting, resulting in false step counting.

In order to solve this technical problem, this embodiment proposes a technical solution for eliminating the step counting error of the wearable device, which is described in detail below.

When a wearer enters a vehicle such as a car from the outside, there will be a certain temperature difference between the inside and outside of the vehicle in general. And the wearer of the wearable device goes from the outside of the vehicle to sitting inside the vehicle, which is a process from a motion state to a relatively static state. During this process, the wearer of the wearable device will produce a certain heart rate change.

On this basis, based on the above relevant data changes, this embodiment will detect the heart rate and ambient temperature of the wearer of the wearable device in real time. When it is detected that both the temperature and the heart rate have changed significantly, and the change time of the two is relatively synchronized, it can be determined that the wearer's surrounding environment and movement state have changed. However, it is not necessarily the inside of the vehicle such as a car, but it may also enter the building from the outside, so it is necessary to make a comprehensive judgment through a combination of other means.

Specifically, after the wearer enters the vehicle, the vehicle transitions from a stationary state to a motion state after starting, and the acceleration value in the horizontal direction of the three-axis acceleration sensor used for step counting in the wearable device will continue to increase. , the acceleration value in the horizontal direction can be integrated to obtain the moving speed of the vehicle, and the speed value can be further integrated to obtain the corresponding displacement value. When the speed value exceeds a certain speed threshold Tv, or the displacement amount Exceeding the common building coverage range Td can exclude the situation that the wearer is inside the building, and then judge that the wearer is inside the vehicle.

Therefore, after detecting that the speed exceeds a certain speed threshold Tv, or detecting that the displacement exceeds the common building coverage Td, the pedometer data is counted. If the temperature and heart rate have changed significantly, the ambient temperature change is greater than The temperature change threshold Tt, and the heart rate change is greater than the heart rate change threshold Thb. If the wearable device continues to count steps in this case, it is determined that the wearable device has miscounted steps at this time, and the wearable device will continue to count steps. pedometer is cleared.

In order to verify whether the detected speed and displacement are accurate, it is also further confirmed whether the wearer of the wearable device is indeed inside the vehicle, not inside the building, so that the wearable device can perform the operation on the connected smart terminal device. Data request, request the terminal device to call its own GPS signal or Beidou signal to obtain accurate speed and displacement data, and verify the accuracy of the wearer's determination that the wearer is inside the vehicle through the internal acceleration sensor of the wearable device based on these data. . However, there is a limitation, because this method requires a stable real-time connection between the smart terminal and the wearable device, and generally requires wireless data communication, which consumes a lot of energy, and the battery life is particularly important for the wearable device. Therefore, only in The wearable device performs one verification when it determines that the wearer is inside the vehicle, and does not continue to verify subsequently.

Example 2

This embodiment is further improved on the basis of Embodiment 1, and the common parts of the technical solutions are not repeated here.

Wearable devices such as smart bracelets or smart watches are all worn on the wrist. When the wristband is worn too loosely, the wearable device and the wrist cannot be fully fitted, resulting in the wearable device being unable to fully follow the wrist for synchronization. Movement, that is to say, the wearable device and the wrist follow poorly, and slight vibrations may be mistaken for the wearer to exercise and count steps, resulting in inaccurate step counting. But in another case, when the wristband is worn too tightly, the wearable device will not be comfortable enough to wear, which affects the user experience.

In order to solve this technical problem, this embodiment proposes the following technical solutions. Specifically, the wristband of the wearable device is provided with a pressure sensor for detecting the contact pressure between the wristband and the wrist. When the pressure is less than the threshold value T1, it means that the wristband is too loose, and the linear motor in the wearable device sends out a first vibration signal to remind the wearer to adjust the wristband; when the pressure is greater than the threshold value Th, it means that the wearable device is two-pointed on the wrist. If the strap is too tight, the linear motor in the wearable device sends out a second vibration signal to remind the wearer to adjust the wrist strap.

Among them, Th>T1, and the first vibration signal and the second vibration signal have significant differences, so that the wearer can clearly identify the different meanings they represent.

Example 3

This embodiment is further improved on the basis of Embodiment 1 or Embodiment 2, and the common parts of the technical solutions are not repeated here.

During the normal movement of the human body, the swing of the arm is periodic, and has a high degree of similarity and repetition. Therefore, the present embodiment can identify and eliminate erroneous step counts caused by bumps or jitters through this feature.

Specifically, as shown in FIG. 2 , during normal movement, the wearable device records and stores the waveform signal of the pressure sensor during normal movement. In the process of step counting, the wearable device monitors the value of the pressure sensor of the wristband in real time, and calculates the similarity between the waveform of the pressure sensor signal and the waveform of the pressure sensor during normal step counting in real time. When the similarity calculation result exceeds the step counting result If the similarity threshold is Ts, it is determined that the pedometer is a normal pedometer; otherwise, it is determined to be an incorrect pedometer, and the pedometer is excluded.

In this case, the pressure sensor can be used to judge whether the wearable device is worn correctly, and can also judge whether there is a wrong step count.

In particular, because there may be little difference between the temperature inside and outside the vehicle, or there may be abnormal heart rate caused by other factors, or there may be a situation where the pressure sensor cannot accurately measure the movement of the wrist due to the wearing of wearable recognition, so Each single monitoring method has the possibility of missing detection and false step counting. Therefore, in this embodiment, the smart wearable device runs the detection task of detecting false step counting by measuring temperature and heart rate, and also runs the detection task of detecting the wearing pressure of the wristband. to detect miscounted steps. If any one of the two tasks detects a miscounted step, it is judged that there is a miscounted step, and the corresponding number of steps is excluded or cleared, which improves the accuracy and reliability of the miscounted step detection.

Example 4

This embodiment is further improved on the basis of Embodiment 1 or Embodiment 2 or Embodiment 3, and the common parts of the technical solutions are not repeated here.

Wearable devices can not only meet the needs of daily physiological parameter detection, but also provide early warning for health monitoring and medical treatment.

For example, changes in a person's heart rate may be caused by activities such as exercise, or by physical illnesses, etc. Therefore, it is necessary to monitor and identify changes in heart rate caused by different reasons, and give corresponding warnings after identification to remind The wearer seeks medical treatment in time.

Specifically, when the wearable device detects a significant change in the heart rate, it monitors the pressure sensor signal at the same time. If the pressure sensor signal does not monitor the step count, or the pressure sensor signal does not show a significant change, it is determined that the abnormal heart rate is caused by Caused by non-exercise factors, the wearable device sends a third vibration signal in time to remind the wearer, and can also perform functions such as remote alarm, or send abnormal learning to hospitals, family members, etc. in time to facilitate timely medical treatment. The fact that the pressure sensor signal does not change significantly here means that the period, amplitude, and waveform of the pressure sensor do not change significantly.

In the several embodiments provided in this application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment. In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.

Claims (8)

1. A method for eliminating step counting errors of wearable equipment is characterized by comprising the following steps:

the wearable device monitors the environment temperature variation, the wearer heart rate variation and the acceleration data in real time;

a controller in the wearable device calculates a speed and a displacement amount according to the acceleration data;

if the environment temperature variation is larger than the temperature variation threshold Tt, the heart rate variation is larger than the heart rate variation threshold Thb, meanwhile, the displacement exceeds the coverage range Td of a common building, if the wearable device continuously counts steps, the controller determines that the wearer enters the inside of the vehicle and mistakenly counts the steps, and the controller clears the mistakenly counted steps.

2. The method for eliminating the step counting error of the wearable device according to claim 1, wherein after the controller determines that the wearer enters the inside of the vehicle and a step counting error occurs, the wearable device makes a data request to a connected intelligent terminal device, calls a GPS (global positioning system) signal or a Beidou signal of the intelligent terminal, and verifies the speed and/or the displacement.

3. The method for eliminating the step counting error of the wearable device according to the claim 1 or 2, characterized in that the wearable device is provided with a wrist strap, a pressure sensor is arranged in the wrist strap, and the controller acquires the pressure value of the pressure sensor in real time.

4. The method of claim 3, wherein the controller sends a first vibration signal to a linear motor in the wearable device if the pressure value is determined to be less than a threshold Tl, and sends a second vibration signal to the linear motor if the pressure value is greater than a threshold Th, wherein Th > Tl.

5. The method for eliminating step counting error of wearable equipment according to claim 3, wherein the controller calculates similarity between the pressure signal waveform and the pressure signal waveform during normal step counting in real time, if the similarity is greater than a step counting similarity threshold Ts, the controller judges that the step counting is normal step counting, otherwise, the controller judges that the step counting is false step counting, and the step counting is eliminated.

6. The method for eliminating wearable device step counting error according to claim 3, wherein if the controller monitors that the heart rate change amount is larger than a heart rate change amount threshold value Thb and the similarity is smaller than a step counting similarity threshold value Ts, the controller determines that the heart rate abnormality is caused by a non-motion factor, and a linear motor in the wearable device sends out a third vibration signal.

7. The method for eliminating the step counting error of the wearable device according to claim 6, wherein the wearable device sends out a third vibration signal in time and simultaneously carries out remote alarm to send out abnormal information to a hospital or a family member in time.

8. A wearable device implementing the method of eliminating wearable device step error of any of claims 1-7, wherein the wearable device comprises a wearable body and a wrist band for carrying the wearable body, the wearable body comprising a controller module, a heart rate acquisition module, a temperature acquisition module, an acceleration data acquisition module, a communication module, and a linear motor; a wrist pressure acquisition module is arranged in the wrist strap.

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