WO2019061543A1

WO2019061543A1 - State determination method and portable device

Info

Publication number: WO2019061543A1
Application number: PCT/CN2017/105163
Authority: WO
Inventors: 董辰; 陈霄汉; 陈宜欣; 王宇; 杨帆
Original assignee: 华为技术有限公司
Priority date: 2017-09-30
Filing date: 2017-09-30
Publication date: 2019-04-04
Also published as: CN110168547A; CN110168547B

Abstract

A state determination method relates to the technical field of terminals, and is capable of identifying a part where a portable device is mounted on the basis of norms of measurement data of an acceleration meter in the portable device. The main solution comprises: a portable device collecting measurement data of an acceleration meter (201), the measurement data of the acceleration meter comprising three coordinate axis components; calculating to obtain norms corresponding to the measurement data of the acceleration meter (202); and determining, according to multiple norms and at least one preset condition, a state of the portable device, the states of the portable device comprising a motionless state, a foot and lower leg motion state or a hand and arm motion state (203).

Description

State determination method and portable device

Technical field

The present application relates to the field of terminal technologies, and in particular, to a state determining method and a portable device.

Background technique

Portable devices are widely used in all aspects of life and work because of their small size, low power consumption and convenient carrying. For example, when the user moves (for example, walking or running), the stepping can be performed by the portable device, thereby calculating motion information such as the exercise distance, the step frequency, the step size, the pace, or the calories based on the step result. For example, a schematic diagram of a scene when a user walks can be seen in FIG. 1a.

Wherein, when the portable device is worn on the user's hand, the portable device needs to call the hand step counting algorithm to perform the step counting. When the portable device is worn on the user's foot, the portable device needs to call the foot counting algorithm to perform the step counting. That is to say, the parts worn by the portable device are different, and the counting algorithm called by the portable device is also different. Thus, prior to invoking the pedometer algorithm, the portable device needs to first identify the wearing site.

In a wearing part identification scheme provided by the prior art, the portable device identifies the wearing part by determining whether the feature of the measurement data of the at least one accelerometer conforms to the preset feature. In this solution, referring to FIG. 1b, since the measurement data of the accelerometer is strongly correlated with the wearing angle of the portable device, when the wearing angle of the portable device is different, the characteristics of the measurement data of the accelerometer are different; and the user is wearing Portable devices cannot be worn at the same angle every time, and there is usually a certain deviation. Therefore, even if the wearing parts are the same, the characteristics of the measurement data of the accelerometer obtained after re-wearing the portable device are different, so that the characteristics of the measurement data of the accelerometer are easily deviated from the preset features, which affects the recognition accuracy of the wearing part.

Summary of the invention

The embodiment of the present application provides a state determining method, which can identify a wearing part according to a modulus length of the measurement data of the accelerometer in the portable device, and the wearing angle of the portable device does not affect the recognition accuracy of the wearing part.

To achieve the above objective, the embodiment of the present application adopts the following technical solutions:

The first aspect provides a state determination method, comprising: first, a portable device collects measurement data of an accelerometer, and the measurement data of the accelerometer includes three coordinate axis components. Second, the portable device calculates the modulus length corresponding to the measurement data of the accelerometer. Then, the portable device determines the state of the portable device according to a plurality of die lengths and at least one preset condition, and the state of the portable device includes a stationary state, a foot motion state, or a hand motion state.

Since the modulus of the accelerometer's measurement data is a scalar rather than a vector, independent of the direction, it is not as strong as the accelerometer's measurement data, and the wearing angle of the wearable device is not affected. The recognition accuracy of the state of the portable device.

In conjunction with the first aspect, in one possible implementation, the foot motion state is used to indicate that the portable device is worn on the user's ankle, foot or calf position, and the portable device is in motion. The hand motion state is used to indicate that the portable device is worn on the user's hand, wrist or arm, and the portable device is in motion.

Among them, the ankle, foot or calf part can be called the foot related part, and the hand, wrist, or arm part can be called the hand related part. That is, the wearable device can determine the wearing of the wearable device according to the die length. The site is the relevant part of the foot or the relevant part of the hand. Moreover, since the modulus of the measurement data of the accelerometer is a scalar instead of a vector, it is independent of the direction, and thus is not related to the wearing angle of the wearable device like the measurement data of the accelerometer, so that the wearing angle of the wearing device is not Affect the recognition accuracy of the wearing part. Therefore, the state determination method provided by the embodiment of the present application can improve the recognition accuracy of the wearing part.

With reference to the first aspect and the foregoing possible implementation manner, in another possible implementation manner, the determining, by the portable device, the state of the portable device according to the multiple modulo lengths and the at least one preset condition includes: if the multiple modulo lengths satisfy the first pre- With the condition, the portable device determines that the state of the portable device is a stationary state. If the plurality of modulo lengths satisfy the second preset condition or the third preset condition, the portable device determines that the state of the portable device is the foot motion state. If the plurality of modulo lengths do not satisfy the first preset condition, the second preset condition, and the third preset condition, the portable device determines that the state of the portable device is a hand motion state.

In this way, the portable device can determine whether the state of the portable device is a stationary state, a hand motion state, or a foot motion state according to the plurality of die lengths, the first preset condition, the second preset condition, or the third preset condition.

With reference to the first aspect and the foregoing possible implementation manner, in another possible implementation manner, the determining, by the portable device, the state of the portable device according to the multiple modulo lengths and the at least one preset condition includes: when the two adjacent second presets When the difference d of the average energy of the measurement data of the accelerometer corresponding to the duration is greater than or equal to the twentieth preset value, the portable device determines the state of the portable device according to the plurality of die lengths and at least one preset condition.

In this way, the portable device can determine that the state of the portable device is a stationary state, a hand motion state, or a foot motion state when it is determined that the average energy variation within the adjacent second preset duration is large.

With reference to the first aspect and the foregoing possible implementation manners, in another possible implementation manner, the determining, by the portable device, the state of the portable device according to the multiple modulus lengths and the at least one preset condition comprises: the portable device periodically according to the multiple modes The length and at least one preset condition determine the state of the portable device.

In this way, the portable device can determine that the state of the portable device is a stationary state, a hand motion state, or a foot motion state after being separated by a preset period length.

With reference to the first aspect and the foregoing possible implementation manner, in another possible implementation manner, after determining the state of the portable device according to the multiple modulus lengths and the at least one preset condition, the method further includes: the portable device prompting the user The status of the portable device.

In this way, the portable device can promptly notify the user of the status and wearing position of the portable device determined by the portable device.

A second aspect provides a portable device comprising an accelerometer, a computing unit, and a determining unit. Among them, the accelerometer is used to collect the measurement data of the accelerometer, and the measurement data of the accelerometer includes three coordinate axis components. The calculation unit is used to calculate the modulus length corresponding to the measurement data of the accelerometer. The determining unit is configured to determine a state of the portable device according to the plurality of die lengths and the at least one preset condition, and the state of the portable device includes a stationary state, a foot motion state, or a hand motion state.

With reference to the second aspect, in a possible implementation, the determining unit is specifically configured to: if the plurality of modulo lengths meet the first preset condition, determine that the state of the portable device is a quiescent state. If the plurality of die lengths meet the second preset condition or the third preset condition, it is determined that the state of the portable device is the foot motion state. If the plurality of modulo lengths do not satisfy the first preset condition, the second preset condition, and the third preset condition, determining that the state of the portable device is a hand motion state.

With reference to the second aspect and the foregoing possible implementation manners, in another possible implementation manner, the determining unit is specifically configured to: when the difference between the average energy of the measurement data of the accelerometer corresponding to the two adjacent second preset durations When d is greater than or equal to the twentieth preset value, the state of the portable device is determined according to the plurality of die lengths and the at least one preset condition. Alternatively, the state of the portable device is determined periodically based on the plurality of die lengths and the at least one preset condition.

In conjunction with the second aspect and the foregoing possible implementation manners, in another possible implementation manner, the portable device further includes a prompting unit, configured to prompt the user of the state of the portable device after the determining unit determines the state of the portable device.

The third aspect provides a method for automatically calculating a walking or running distance when the portable device detects that the portable device is worn on an arm, a hand or a wrist; the portable device detects that the user is portable when viewed. The device displays the step result and identifies the step result that is worn on the arm, hand or wrist. When the portable device detects that the portable device is worn on the ankle, the calf or the foot, the portable device automatically adopts a second algorithm to calculate the walking or running distance; when the portable device detects the user viewing, the portable device displays the step result while The logo is the result of walking on the ankle, calf or foot. Wherein, the first algorithm may be a general-purpose algorithm or a step-calculating algorithm suitable for a portable device to be worn on an arm, a hand or a wrist. The second algorithm can be a general purpose algorithm or a step counter algorithm suitable for portable devices to wear on the ankle, calf or foot. This method can provide users with a novel experience.

In combination with the third aspect and the foregoing possible implementation manners, in another possible implementation manner, the first algorithm may also be the same as the second algorithm.

In combination with the third aspect and the above possible implementation manners, in another possible implementation manner, when the portable device detects that the portable device is worn around the neck, the portable device automatically adopts a third algorithm to calculate the walking or running distance. When the portable device detects the user's viewing, the portable device identifies the step result that is worn on the neck while displaying the step result. The third algorithm may be a general-purpose algorithm or a step-counting algorithm suitable for a portable device to wear around the neck. This method can provide users with a novel experience.

In combination with the third aspect and the foregoing possible implementation manners, in another possible implementation manner, the third algorithm may also be the same as the first calculation method or the second algorithm.

In combination with the third aspect and the above possible implementation manner, in another possible implementation manner, when the portable device detects that the portable device is worn on the ankle, the calf or the foot, the portable device automatically turns off the blood pressure, and/or the heartbeat and the like. Parameter detection module. This implementation can avoid unnecessary power consumption and improve the working time of portable devices.

In combination with the third aspect and the above possible implementation manners, in another possible implementation manner, when the portable device detects that the portable device is worn around the neck, the portable device automatically turns off the blood pressure, and/or heartbeat and other physiological parameter detecting modules. Adopting this implementation avoids unnecessary power consumption and improves the working time of the portable device.

In combination with the third aspect and the above possible implementation manner, the portable device determines a method for wearing the portable device, such as the state determining method of any of the first aspects.

In a fourth aspect, an embodiment of the present application provides a portable device, including a sensor, a processor, and a memory, where the sensor includes a gyroscope and an accelerometer, the memory is configured to store an instruction, and the processor is configured to execute the instruction to enable the portable device to perform the first aspect. The state determining method of any one of the third aspect or the third aspect.

In a fifth aspect, the embodiment of the present application provides a computer readable storage medium, including instructions, when operating on a portable device, causing the portable device to perform the state in any one of the first aspect or the third aspect. Determine the method.

In a sixth aspect, the embodiment of the present application provides a computer program product including instructions, when the device is running on a portable device, causing the portable device to perform the state determining method according to any one of the first aspect or the third aspect .

In a seventh aspect, an embodiment of the present application provides a device, where the device exists in a product form of a chip, where the device includes a processor and a memory, where the memory is used to be coupled with the processor, and is configured to save program instructions and data of the device, and process The program is configured to execute program instructions stored in the memory, such that the device performs the function of data processing in the state determining method in any one of the first aspect or the third aspect.

In combination with any of the foregoing aspects and the foregoing possible implementation manners, in another possible implementation manner, the first preset condition includes: the plurality of moduli lengths include a first curved section, and the duration of the corresponding moments at the beginning and the end of the first curved section is greater than Or equal to the first preset duration, the modulus length corresponding to the first curve segment is greater than or equal to the first preset value and less than or equal to the second preset value, wherein the first preset value is less than the gravity acceleration, and the second preset value is The difference between the second preset value and the first preset value is greater than or equal to the third preset value.

In combination with any of the foregoing aspects and the foregoing possible implementation manners, in another possible implementation manner, the second preset condition includes: the multiple modulo lengths include a first target maximum value; or The duration of the corresponding moment is equal to the second preset duration, and the plurality of modular lengths include m first target maximum values, m is greater than or equal to the fourth preset value; the first target maximum value satisfies the fourth preset condition, and the fourth The preset condition includes: the first target maximum value is greater than or equal to the fifth preset value; and the third minimum time value in which the time corresponding to the first target maximum value further includes the first minimum value and the second minimum value The first minimum value is a minimum value adjacent to the first target maximum value before the time corresponding to the first target maximum value, and the second minimum value is after the time corresponding to the first target maximum value The minimum value of the first target maximum value adjacent to each other; the uphill drop difference is greater than or equal to the sixth preset value, and the uphill drop difference is the absolute value of the difference between the first minimum value and the first target maximum value The downhill drop is greater than or equal to the seventh preset value, and the downhill drop is the first a difference between the target maximum value and the second minimum value; the first bit width corresponding to the first target maximum value is less than or equal to the eighth preset value, and the first bit width is the time corresponding to the second minimum value a difference between the times corresponding to the first minimum value; the first target maximum value is a maximum value of the plurality of mode lengths in the fourth preset time length, and the fourth preset time length is greater than the third preset time length.

With reference to any of the foregoing aspects and the foregoing possible implementation manners, in another possible implementation manner, the fourth preset condition further includes: the first target maximum value corresponding to the half-bit width is less than or equal to the ninth preset value; When the uphill drop is less than or equal to the downhill drop, the half width is the absolute value of the difference between the first time and the second time, and the first time and the second time are within the third preset time, a time when the minimum value corresponds to the mode length represented by the sum of the half of the upward slope difference, and the first time and the second time are between the time corresponding to the first minimum value and the time corresponding to the second minimum value; When the upslope drop is greater than the downslope drop, the half width is the absolute value of the difference between the third time and the fourth time, and the third time and the fourth time are within the third preset time, the second minimum The two times corresponding to the mode length indicated by the sum of the half of the downslope drop, and the third time and the fourth time are between the time corresponding to the first minimum value and the time corresponding to the second minimum value.

In combination with any of the foregoing aspects and the foregoing possible implementation manners, in another possible implementation manner, the fourth preset condition further includes: a sum of an uphill drop and a downhill drop and a first bit corresponding to the first target maximum The width ratio is greater than or equal to the tenth preset value.

In combination with any of the foregoing aspects and the foregoing possible implementation manners, in another possible implementation manner, the third preset condition includes: the multiple modulo lengths include a second curved section; or The duration is equal to the second preset duration, and the plurality of modulo lengths includes k second curved segments, and k is greater than or equal to the eleventh preset value. The second curve segment satisfies the fifth preset condition, and the fifth preset condition includes: the duration of the corresponding moments of the first and last ends of the second curve segment is greater than or equal to the fifth preset duration and less than the first preset duration; the second curve segment corresponds to The modulus is greater than or The value is equal to the twelfth preset value and is less than or equal to the thirteenth preset value, and the difference between the thirteenth preset value and the twelfth preset value is less than or equal to the fourteenth preset value.

In combination with any of the foregoing aspects and the foregoing possible implementation manners, in another possible implementation manner, the fifth preset condition further includes: after the second curved section, the multiple modulus lengths further include the second target maximum value, the target a minimum value and a third target maximum value; the second target maximum value is an extreme value adjacent to the second curved segment after the second curved segment; the target minimum value is after the second target maximum value, and the first The second target maximum value is adjacent to the extreme value; the third target maximum value is a maximum value after the target minimum value, and the third target maximum value is a maximum value of the plurality of mode lengths in the sixth preset time period.

In combination with any of the foregoing aspects and the foregoing possible implementation manners, in another possible implementation manner, the fifth preset condition further includes at least one of the following conditions: the target minimum value is less than or equal to the fifteenth preset value; The second target width corresponding to the second target maximum value is less than or equal to the sixteenth preset value, and the second bit width is the difference between the time corresponding to the target minimum value and the end time of the second curved segment; The ratio of the value to the second target maximum value is greater than or equal to the seventeenth preset value; the third target maximum value further includes another second curved segment, the start time of the second second curved segment and the third target The difference between the moments corresponding to the maximum value is less than or equal to the eighteenth preset value.

In combination with any of the foregoing aspects and the foregoing possible implementation manners, in another possible implementation manner, the fifth preset condition further includes: the duration of the corresponding moments of the first and second ends of the plurality of modulo lengths is equal to the second preset duration, and the multiple moduli The sum s of the absolute values of the differences of the three coordinate axis components corresponding to each two adjacent moduli lengths in the length is greater than or equal to the nineteenth preset value; wherein s is expressed as:

Wherein (x _i , y _i , z _i ) represents three coordinate axis components included in the measurement data of the accelerometer corresponding to the ith sampling time in the second preset duration, (x _i+1 , y _i+1 , z _i+1 ) represents three coordinate axis components of the measurement data of the accelerometer corresponding to the i+1th sampling time in the second preset duration, and the value range of i is each time within the second preset duration One sampling moment.

In combination with any of the above aspects and the above possible implementation manners, in another possible implementation manner, d is expressed as:

or

Wherein, (x _i , y _i , z _i ) represents three coordinate axis components included in the measurement data of the accelerometer corresponding to the i-th sampling time within the q+1th second preset time period, (x _j , y _j , z _j ) represents the three coordinate axis components of the measurement data of the accelerometer corresponding to the jth sampling time in the qth second preset time period, q is an integer, and n is included in the second preset duration The number of sampling instants, n is a positive integer, the range of i is a positive integer less than or equal to n, and the range of j is a positive integer less than or equal to n.

DRAWINGS

FIG. 1a is a schematic diagram of a user motion scene;

FIG. 1b is a flow chart of a method for identifying a wearing part provided in the prior art;

2a is a schematic diagram of the appearance of a wearable device according to an embodiment of the present application;

2b is a schematic diagram of a main body according to an embodiment of the present application;

2c is a schematic diagram of wearing a main body according to an embodiment of the present application;

FIG. 3a is a schematic diagram of wearing a wearable device according to an embodiment of the present application;

FIG. 3b is a schematic diagram of wearing a wearable device according to an embodiment of the present application;

FIG. 3 is a schematic diagram of wearing a wearable device according to an embodiment of the present application;

FIG. 3 is a schematic diagram of wearing a wearable device according to an embodiment of the present disclosure;

3 e is a schematic diagram of wearing a wearable device according to an embodiment of the present application;

4 is a schematic structural diagram of a wearable device according to an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a mobile phone according to an embodiment of the present application;

FIG. 6 is a flowchart of a state determining method according to an embodiment of the present application;

FIG. 7 is a schematic diagram of a mold length provided by an embodiment of the present application; FIG.

FIG. 8 is a flowchart of another state determining method according to an embodiment of the present application;

9a is a schematic diagram of a first curved section provided by an embodiment of the present application;

FIG. 9b is a schematic diagram of a user in a static state according to an embodiment of the present application; FIG.

FIG. 10 is a schematic diagram of a first target maximum value according to an embodiment of the present application;

FIG. 11 is a schematic diagram of a first bit width provided by an embodiment of the present application;

FIG. 12 is a corresponding relationship diagram of a time corresponding to a first target maximum value and a third preset duration according to an embodiment of the present disclosure;

FIG. 13 is a schematic diagram of a half width according to an embodiment of the present application; FIG.

FIG. 14 is a schematic diagram of another half width provided by an embodiment of the present application; FIG.

FIG. 15 is a schematic diagram of comparison of impacts of different half widths according to an embodiment of the present application; FIG.

16 is a schematic diagram of a model length curve according to an embodiment of the present application;

17 is a schematic diagram of a second curved section provided by an embodiment of the present application;

FIG. 18 is a schematic diagram of another mode length curve provided by an embodiment of the present application; FIG.

FIG. 19 is a schematic diagram of a second bit width according to an embodiment of the present application; FIG.

20 is a schematic diagram of another mode length curve provided by an embodiment of the present application;

FIG. 21 is a schematic diagram of another mode length curve provided by an embodiment of the present application; FIG.

FIG. 22 is a schematic diagram of prompting a state of a portable device according to an embodiment of the present application;

FIG. 22b is a schematic diagram of a prompt state of another portable device according to an embodiment of the present disclosure;

FIG. 23 is a schematic diagram of prompting another state of a portable device according to an embodiment of the present disclosure;

FIG. 24a is a graph showing a measured die length according to an embodiment of the present application; FIG.

FIG. 24b is another measured die length curve diagram according to an embodiment of the present application; FIG.

Figure 24c is a graph showing another measured die length provided by an embodiment of the present application;

Figure 24d is a graph showing another measured die length provided by an embodiment of the present application;

24 e is another measured die length curve diagram provided by an embodiment of the present application;

FIG. 24f is another graph of measured die lengths according to an embodiment of the present application; FIG.

FIG. 25 is a schematic diagram showing a step counting result according to an embodiment of the present application;

FIG. 26 is a schematic diagram showing another step counting result provided by an embodiment of the present application; FIG.

FIG. 27 is a schematic structural diagram of a portable device according to an embodiment of the present application;

28 is a schematic structural diagram of another portable device according to an embodiment of the present application;

FIG. 29 is a schematic structural diagram of another portable device according to an embodiment of the present disclosure.

Detailed ways

Since the prior art needs to determine the wearing part of the portable device according to the measurement data of the accelerometer in the portable device, the wearing angle of the portable device affects the characteristics of the measurement data of the accelerometer, and the like, and thus it is easy to deviate from the preset feature. Therefore, the recognition accuracy is poor. The method provided by the embodiment of the present application can determine the wearing part of the portable device according to the modulus of the measurement data of the accelerometer in the portable device, and the mode length is a value greater than 0, regardless of the direction, and thus the wearing angle of the portable device does not affect the wearing. The recognition accuracy of the part.

For ease of understanding, the description of some of the concepts related to the embodiments of the present application is given for reference. As follows:

Portable devices: including but not limited to mobile phones, tablets (eg iPad), personal digital assistants (PDAs), wearable devices (including but not limited to: smart watches, smart bracelets, sports rings, smart glasses, etc. ).

Wearable device: A portable device that is worn directly on the body or integrated into the user's clothing or accessories.

Extreme value: A general term for the maximum and minimum values.

Maxima: If a function has a certain value at each point in a neighborhood of a point, the value at that point is greater than the value at other points in the neighborhood, and the value at that point is a maximum.

Minimum value: If a function has a certain value at each point in a neighborhood of a point, the value at that point is smaller than the value at other points in the neighborhood, and the value at that point is a minimum value.

Modulus length: The length of the space vector. If the space vector is (x, y, z), where x, y, and z are the coordinates on the three axes, respectively, the modulus length is

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application. In the description of the embodiments of the present application, unless otherwise stated, "/" means the meaning of or, for example, A/B may represent A or B; "and/or" herein is merely a description of the associated object. The association relationship indicates that there may be three relationships, for example, A and/or B, which may indicate that there are three cases in which A exists separately, A and B exist at the same time, and B exists separately. In addition, in the description of the embodiments of the present application, "a plurality" means two or more than two.

It should be understood that the first X, the second X...the twentieth X... are only used to facilitate the distinction between the individual Xs, without the meaning of the order. X includes, but is not limited to, preset duration, preset value, curve segment, bit width, target maximum value, target minimum value, time, preset condition, algorithm, and the like. In addition, any two of the first X, the second X...the twentieth X... are usually different, for some parameters (preset duration, preset value, curve segment, target maximum value, target minimum value, bit) The width of the algorithm may be the same. For example, the first preset duration and the second preset duration may be the same. The first preset value and the second preset value may also be the same. .

The portable device according to the embodiment of the present application can be used to sense the motion state of the user. Portable device can pack This includes, but is not limited to, devices such as cell phones, tablets, wearables, or personal digital assistants. Illustratively, when the portable device is a wearable device, FIG. 2a provides a schematic view of the appearance of the wearable device 10. The wearable device 10 can include a body 11 and a connector 12 that can include a screen 13, a button 14, and the like. Among them, the screen 13 can be used to prompt the user with various information such as time, speed of movement, distance of movement, calories burned, and the like. When the screen 13 is a touch screen, the screen 13 and the button 14 can be used to input user's indication information, such as power on, power off, pause, and the like. The connector 12 can be used to wear the wearable device to a certain part of the user. The main body 11 may further include components such as an earpiece 15, a microphone 16, and the like, which may be used to issue a voice prompt, perform music playback, input a user's voice indication, and the like. Moreover, it will be appreciated that the body 11 may also include other components, such as a USB interface or the like.

The connecting member 12 can be a latching member, and can be used for fastening the wearable device 10 to a wrist, an ankle, an arm, a leg, or the like, or the connecting member 12 can also be a fixing strap, and the wearable device 10 can be used. It is fixed on the wrist, ankle, arm, leg and other parts.

Further, referring to Fig. 2b, the main body 11 can also be used separately from the connector 12. For example, the main body 11 can be placed in a pocket, held in a hand, or the like. Moreover, the main body 11 can also be worn as an ornament on a user's neck, ankle or wrist, waist, clothing surface, and the like. For example, referring to Figure 2c, the annular body 11 can be worn as a necklace on the neck of the user. Specifically, when the main body 11 is used only as an ornament, the state determination algorithm and other functions (such as the timing function) provided by the embodiments of the present application may not be activated. When the main body 11 is triggered, the state determination algorithm provided by the embodiment of the present application may be started, and other functions may be started. The manner in which the main body 11 is triggered may be many, for example, when the main body 11 is detected to be worn at a preset portion. Illustratively, the predetermined portion may include an ankle, a heel, a calf, a hand, a wrist, an arm, a boom, and the like as shown in Figures 3a-3g.

FIG. 4 provides a schematic structural view of another wearable device 20. Referring to FIG. 4, the wearable device 20 may include a sensor 21, a processing module 22, a storage module 23, an input module 24, a prompting module 25, and the like. The sensor 21 can be used to monitor the real-time status of the wearable device 20, and specifically includes an accelerometer, a gyroscope, and the like. The processing module 22 can be used to process the detected data of the sensor 21. The storage module 23 can be used to store the detection data of the sensor 21, store the detected data processed by the processing module 22, and store the control instructions. The input module 24 can be used to receive indication information input by the user, such as screen 13, button 14 or microphone 16 in Figure 2a. The prompting module 25 can be used to display various prompt information to the user, such as screen 13 or earpiece 15 in Figure 2a. In addition, wearable device 20 may also include other modules, such as wireless transmission module 26 and the like.

When the portable device is a mobile phone, FIG. 5 provides a schematic structural diagram of the mobile phone 30. The mobile phone 30 may include components such as a screen 31, a processor 32, a memory 33, a power source 34, a radio frequency (RF) circuit 35, a sensor 36, and an audio circuit 37. These components may be connected by a bus or may be straight. Connected. It will be understood by those skilled in the art that the structure of the handset shown in FIG. 5 does not constitute a limitation to the handset, and may include more components than those illustrated, or some components may be combined, or different component arrangements.

The screen 31 may specifically be a touch display screen or a non-touch display screen, and may be used for user interface display. The processor 32 is the control center of the handset 30, which connects various portions of the entire handset using various interfaces and lines, by running or executing software programs and/or modules stored in the memory 33, and recalling data stored in the memory 33, The functions and processing data of the mobile phone 30 are executed to perform overall monitoring of the mobile phone 30. Memory 33 can be used to store data, software programs, and modules. The power source 34 can be logically coupled to the processor 32 through a power management system to manage functions such as charging, discharging, and power management through the power management system. The RF circuit 35 can be used to transmit and receive information and receive and transmit signals during a call. The sensor 36 may include an accelerometer for collecting the magnitude of the acceleration of the mobile phone in various directions (generally three axes). When stationary, the magnitude and direction of the gravity may be collected, which may be used to identify the gesture of the mobile phone (such as horizontal and vertical screen switching, related). Game, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping). Sensor 36 may also include other sensors such as pressure sensors, light sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, and the like. Audio circuitry 37 can be used to provide an audio interface between the user and handset 30. Although not shown, the mobile phone 30 may further include a global positioning system (GPS) module, a wireless fidelity (Wi-Fi) module, a Bluetooth module, a camera, and the like, and will not be described herein. .

It should be understood that the structure of the tablet and the personal digital assistant is similar to that of the mobile phone in FIG. 5 and will not be described here.

The state determination method provided by the embodiment of the present application is described in detail below by taking the wearable device shown in FIG. 2a and FIG. 4 as an example for the purpose of the present invention.

Referring to FIG. 6, the state determining method provided by the embodiment of the present application may include:

Step 201: The wearable device collects measurement data of the accelerometer, and the measurement data of the accelerometer includes three coordinate axis components.

The wearable device can collect the measurement data of the accelerometer at each sampling time according to a preset sampling interval or sampling frequency. Exemplarily, the sampling frequency may be 50 Hz or 100 Hz, and the sampling interval may be 0.02 s or 0.01 s or the like. Wherein, the accelerometer here is a three-axis accelerometer, and the measurement data of each group of accelerometers may include three coordinate axis components corresponding to three coordinate axes of the accelerometer, and the three coordinate axis components may be combined into one vector, that is, an accelerometer The measured data is a vector. For example, the measurement data of a set of accelerometers can be expressed as (x, y, z), and x, y, z represent the three coordinate axis components of the measurement data of the accelerometer, respectively.

Step 202: The wearable device calculates a modulus length corresponding to the measurement data of the accelerometer.

The wearable device can calculate a modulus length corresponding to the measurement data of each group of accelerometers according to the measurement data of each group of accelerometers corresponding to each sampling moment. Wherein, the modulus length is a scalar greater than 0, and if the measurement data of the set of accelerometers is (x, y, z), the modulus corresponding to the measurement data of the set of accelerometers is

A plurality of die lengths corresponding to a plurality of consecutive sampling moments may form a die length curve.

Exemplarily, referring to Figure 7, the top curve is the modulus curve (the uppermost axis corresponds to the largest value of the other three curves), and the other three curves correspond to the three coordinate axes of the accelerometer. curve.

Step 203: The wearable device determines a state of the wearable device according to the plurality of die lengths and the at least one preset condition, where the state of the wearable device includes a stationary state, a foot motion state, or a hand motion state.

After calculating the modulus length corresponding to the measurement data of the accelerometer, the wearable device may determine whether the state of the wearable device is a stationary state, a foot motion state, or a hand motion state according to the plurality of die lengths and the at least one preset condition.

Wherein, the foot motion state is used to indicate that the wearable device is worn on the user's ankle, foot (eg, heel) or calf, and the wearable device is in motion. The hand motion state is used to indicate that the wearable device is worn on the user's hand, wrist or arm, and the wearable device is in motion. When the state of the wearable device is a foot motion state or a hand motion state, it may be stated that the user wearing the wearable device is in a motion state. The user is in motion to indicate that the user is exercising, running, going upstairs, going downstairs, etc. Wherein, the arm portion may include an arm, a boom or an elbow. A schematic view of the wearable device worn on the user's ankle, heel, calf, hand, wrist, arm or arm, as shown in Figures 3a-3g, respectively. When the state of the wearable device is a stationary state, it can be stated that the user wearing the wearable device is at a standstill.

In the embodiment of the present application, the ankle, foot or calf portion may be referred to as a foot related portion, and the hand, wrist, or arm portion may be referred to as a hand related portion. That is to say, the wearable device can determine whether the wearing part of the wearable device is a foot related part or a hand related part according to the mold length.

Since the modulus of the accelerometer's measurement data is a scalar rather than a vector, independent of the direction, it is not as strong as the accelerometer's measurement data, and the wearing angle of the wearable device is not affected. The recognition accuracy of the wearing part. Therefore, the state determination method provided by the embodiment of the present application can improve the recognition accuracy of the wearing part.

Specifically, referring to FIG. 8, step 203 may include:

Step 2031: If the plurality of modulo lengths meet the first preset condition, the wearable device determines that the state of the wearable device is a quiescent state.

Step 2032: If the plurality of die lengths meet the second preset condition or the third preset condition, the wearable device determines that the state of the wearable device is a foot motion state.

Step 2033: If the plurality of die lengths do not satisfy the first preset condition, the second preset condition, and the third preset condition, the wearable device determines that the state of the wearable device is a hand motion state.

In step 2031, the first preset condition may include: the plurality of moduli lengths include a first curved section, and the duration of the corresponding moments at the beginning and the end of the first curved section is greater than or equal to the first preset duration. The modulus length corresponding to the first curved segment is greater than or equal to the first preset value and less than or equal to the second preset value. The first preset value is smaller than the gravity acceleration, the second preset value is greater than the gravity acceleration, and the difference between the second preset value and the first preset value is less than or equal to the third preset value.

Referring to FIG. 9a, in the first preset condition, the second preset value is compared with the first preset value because the modulus length corresponding to the first curved segment is greater than or equal to the first preset value and less than or equal to the second preset value. The difference is less than or equal to the third preset value, so that it can be stated that the amplitude of the modulus length corresponding to the first curved segment fluctuates within a small range. Moreover, in the first preset condition, since the first preset value is less than the gravitational acceleration, the second preset value is greater than the gravitational acceleration, so that the amplitude of the mode length corresponding to the first curved segment is smaller than the gravitational acceleration of 1 g. Fluctuations within the scope. Exemplarily, the first preset value may be 0.9 g, and the second preset value may be 1.1 g.

When the time corresponding to the first and last ends of the first curved section is greater than or equal to the first preset duration (the duration of the modulus length satisfying the first preset condition is greater than the first preset duration), that is, the magnitude of the modulus length is in the gravitational acceleration When the duration of the mode length of the fluctuation in the smaller range near 1 g is greater than the first preset duration, it can be stated that the amplitude of the mode length fluctuates within a relatively small range of the gravitational acceleration 1 g in a long period of time. Indicates that the wearable device is at rest. Exemplarily, the first preset duration may be 1 s (seconds). Referring to Figure 9b, when the state of the wearable device is stationary, it can be indicated that the user is currently still at rest.

In this way, the wearable device can determine whether the first preset condition is satisfied within the first preset time period, thereby determining whether it is a stationary state. The first preset duration is usually small, for example, 1 s, and the wearable device can determine whether the state of the wearable device is static in a short period of time, and thus the wearable device has high processing efficiency. And the memory footprint is low.

In a possible implementation manner of the foregoing step 2032, the determining, by the wearable device, whether the plurality of modulo lengths meet the second preset condition or the third preset condition may include: the wearable device may first determine whether the plurality of modulo lengths meet the second preset If the second preset condition is not met, the method may determine whether the plurality of modulo lengths meet the third preset condition; or the wearable device may first determine whether the plurality of modulo lengths meet the third preset condition, if the third preset condition is met, The three preset conditions may determine whether the plurality of die lengths satisfy the second preset condition.

Specifically, in step 2032, the second preset condition may include: the plurality of die lengths include a first target maximum value, and the first target maximum value satisfies the fourth preset condition.

In this case, if the wearable device detects that the mode length includes a first target maximum value that satisfies the fourth preset condition, it may determine that the second preset condition is met, so that the state of the wearable device may be determined to be a foot. State of movement.

Wherein, referring to FIG. 10, the fourth preset condition may include the following conditions:

(1) The first target maximum value is greater than or equal to the fifth preset value.

(2) the third preset duration in which the time corresponding to the first target maximum value further includes a first minimum value and a second minimum value, where the first minimum value corresponds to the first target maximum value A minimum value adjacent to the first target maximum value before the time, and the second minimum value is a minimum value adjacent to the first target maximum value after the time corresponding to the first target maximum value.

(3) The uphill drop is greater than or equal to a sixth preset value, and the uphill drop is the absolute value of the difference between the first minimum value and the first target maximum value.

(4) The downhill drop is greater than or equal to the seventh preset value, and the downhill drop is the difference between the first target maximum value and the second minimum value.

(5) The first bit width corresponding to the first target maximum value is less than or equal to the eighth preset value, and the first bit width is a difference between the time corresponding to the second minimum value and the time corresponding to the first minimum value. .

The first target maximum value corresponding to the first bit width is a schematic diagram. See FIG. 11 .

(6) The first target maximum value is a maximum value of the plurality of module lengths in the fourth preset duration, and the fourth preset duration is greater than the third preset duration.

When the wearable device determines in step 2032 whether the plurality of die lengths meet the second preset condition, it may first detect whether there is a maximum value among the plurality of die lengths. When the wearable device detects a maximum value, it can be determined whether all of the above fourth preset conditions are satisfied. If all the conditions in the fourth preset condition are not met, the maximum value is not the first target maximum value, and the wearable device can detect whether the next maximum value satisfies all the conditions in the fourth preset condition; If all the conditions in the fourth preset condition are met, the wearable device determines that the detected maximum value is the first target maximum value, thereby determining that the second preset condition is met, and thus determining the state of the wearable device For the state of foot movement.

Specifically, when a maximum value is detected, the wearable device may determine whether the maximum value is greater than or equal to a fifth preset value (ie, the foregoing (1) condition), if the maximum value is greater than the fifth preset. a value, the wearable device may determine a third preset duration including the maximum value, and further determine whether a first minimum value and a second minimum value are included in the third preset duration (ie, the foregoing 2) condition), and then continue to determine whether the maximum value satisfies other conditions in the fourth preset condition.

Wherein, referring to FIG. 12, when the wearable device determines a third preset duration including the maximum value, The maximum value is determined as the intermediate time of the third preset duration, so that it is more convenient to determine whether there is a first minimum value before the maximum value within the third preset duration, and whether there is a maximum value after the maximum value The second minimum. Exemplarily, when the third preset duration is 0.2 s, the maximum value is located at an intermediate moment of the third preset duration.

Exemplarily, in the above condition (6), the fourth preset duration may be 0.4 s, that is, the first target maximum value may be a plurality of modes corresponding to the 0.4 s at the time corresponding to the first target maximum value. The maximum value of the long. The moment at which the first target maximum value is located may be an intermediate moment of the fourth preset duration.

Wherein, since the foot touches the ground when the wearable device is worn on the foot-related part, the foot hits the ground when the foot is in contact with the ground during the movement of the foot, the ground has a large impact on the accelerometer in the wearable device, thereby causing acceleration The measurement result of the meter is instantaneously increased, so that the mold length corresponding to the measurement data of the foot landing time accelerometer also corresponds to a large impact. The first target maximum value in FIG. 10 can be understood as the highest point of the impact of the die length corresponding to the foot landing time.

In this way, the wearable device can determine whether the second preset condition is satisfied within the fourth preset time period, thereby determining whether it is a foot motion state. The fourth preset duration is usually small, for example, 0.4s, and the wearable device can determine whether the state of the wearable device is a foot motion state in a short time, and thus the processing efficiency is high, and the memory usage is low. .

Further, the fourth preset condition may further include: the half-bit width corresponding to the first target maximum value is less than or equal to the ninth preset value.

Referring to FIG. 13, when the upslope drop is less than or equal to the downslope drop (ie, the first minimum value is greater than the second minimum value), the half width is the absolute value of the difference between the first time and the second time, The first time and the second time are two moments corresponding to the mode length indicated by the sum of the first minimum value and the half of the upward slope difference within the third preset time period, that is, the first target maximum value and the upward slope difference The difference between the half of the two represents the two moments corresponding to the mode length, and the first time and the second time are between the time corresponding to the first minimum value and the time corresponding to the second minimum value.

Referring to FIG. 14, when the upslope drop is greater than the downslope drop (ie, the first minimum value is smaller than the second minimum value), the half width is the absolute value of the difference between the third time and the fourth time, and the third The time and the fourth time are two times corresponding to the mode length indicated by the sum of the second minimum value and the half of the downhill fall within the third preset time period, that is, the first target maximum value and the half of the downhill drop The difference indicated by the difference is the two moments corresponding to the mode length, and the third time and the fourth time are between the time corresponding to the first minimum value and the time corresponding to the second minimum value.

As can be seen from FIG. 10 to FIG. 14 , the first target maximum value may be the highest point of the impact, and the half width of the first target maximum value may also be referred to as the half width of the impact. When the half width of the first target maximum value is less than or equal to the ninth preset value, it may be stated that the half width of the impact corresponding to the first target maximum value is narrow. For an illustrative comparison of the narrower width of the half width and the wider impact of the half width, see Figure 15.

Further, the fourth preset condition may further include: a ratio of the sum of the uphill drop and the downhill drop to the first bit width corresponding to the first target maximum value is greater than or equal to the tenth preset value.

For example, referring to FIG. 11 , the first bit width corresponding to the first target maximum value is the difference between the time corresponding to the second minimum value and the time corresponding to the first minimum value. The ratio of the upper slope difference and the downhill drop sum to the first bit width corresponding to the first target maximum value may be referred to as the total slope of the impact corresponding to the first target maximum value, that is, the impact corresponding to the first target maximum value The total slope is large.

In another possible implementation manner of the embodiment of the present application, the second preset condition in the step 2032 may include: the duration of the corresponding moments of the first and last ends of the plurality of modulo lengths is equal to the second preset duration, and the plurality of modulo lengths Including m A target maximum value, m is greater than or equal to a fourth preset value.

For example, referring to FIG. 16, when the second preset duration is 5 s and the fourth preset value is 2, if the first target maximum that satisfies the fourth preset condition is detected within the second preset duration of 5 s If the number of values is greater than or equal to 2, it may be stated that the second preset condition is met, and the wearable device may determine that the state of the wearable device is a foot motion state.

In this case, the wearable device can avoid erroneous recognition of the state of the wearable device due to erroneous detection of the first target maximum value, so that the state of the wearable device and the recognition reliability of the wearing portion can be improved.

In the above step 2032, the third preset condition may include: the plurality of die lengths include one second curve segment, and the second curve segment satisfies the fifth preset condition.

In this case, if the wearable device detects a second curved segment that satisfies the fifth preset condition, it may be determined that the third preset condition is satisfied, so that the state of the wearable device may be determined to be the foot motion state.

For example, referring to FIG. 17, the fifth preset condition may include: a duration of a corresponding moment of the first and last ends of the second curved section is greater than or equal to a fifth preset duration and less than a first preset duration, and a modulus length corresponding to the second curved section is greater than Or equal to the twelfth preset value and less than or equal to the thirteenth preset value, and the difference between the thirteenth preset value and the twelfth preset value is less than or equal to the fourteenth preset value.

Wherein, when the modulus length corresponding to the second curved segment is greater than or equal to the twelfth preset value and less than or equal to the thirteenth preset value, the difference between the thirteenth preset value and the twelfth preset value is less than or equal to When the fourteenth preset value is used, it can be stated that the amplitude fluctuation range of the modulus length corresponding to the second curved section is small. In a possible implementation manner, the twelfth preset value may be the same as the first preset value, the thirteenth preset value may be the same as the second preset value, and the fourteenth preset value may be the third preset value Set the same value. Compared with the first curved section in Fig. 9a, the duration of the second curved section in Fig. 17 (i.e., the length of time corresponding to the first and last ends of the second curved section) is shorter. Exemplarily, when the first preset duration is 1 s, that is, the duration of the first curved segment (that is, the duration of the corresponding time at the beginning and the end of the first curved segment) may be greater than 1 s, the fifth preset duration may be 0.4 s, that is, The duration of the second curved segment may be greater than 0.4 s and less than 1 s.

In this way, the wearable device can determine whether the third preset condition is met within a time period less than the first preset duration, thereby determining whether it is a foot motion state, and the first preset duration is usually small, for example, 1 s, Therefore, the wearable device has higher processing efficiency and lower memory usage.

Further, referring to FIG. 18, the fifth preset condition may further include: after the second curved section, the plurality of modulo lengths further include a second target maximum value, a target minimum value, and a third target maximum value, and second The target maximum value is an extreme value adjacent to the second curved segment after the second curved segment, and the target minimum value is an extreme value adjacent to the second target maximum value after the second target maximum value, and third The target maximum value is a maximum value after the target minimum value, and the third target maximum value is a maximum value of the plurality of modulus lengths within the sixth preset time length.

As can be seen from FIG. 18, the mode length corresponding to the second curve segment satisfying the fifth preset condition and the mode length after the second curve segment are "flat convex and concave". Wherein, "flat" is the position corresponding to the second curve segment, "convex" is the position corresponding to the second target maximum value, "concave" is the position corresponding to the target minimum value, and "chong" is the third target maximum value Corresponding location.

Similar to the first target maximum value in FIG. 10, the third target maximum value in FIG. 18 can be understood as the highest point of the impact of the die length corresponding to the foot landing time. In an implementation manner, the time corresponding to the third target maximum value may be an intermediate time of the sixth preset duration, and the sixth preset duration may be 0.4 s.

Further, the fifth preset condition may further include at least one of the following conditions:

(a) The target minimum value is less than or equal to the fifteenth preset value.

(b) The second bit width corresponding to the second target maximum value is less than or equal to the sixteenth preset value.

Referring to FIG. 19, the second bit width is the difference between the time corresponding to the target minimum value and the end time of the second curved segment.

(c) The ratio of the third target maximum value to the second target maximum value is greater than or equal to the seventeenth preset value.

(d), after the third target maximum value, further includes another second curve segment, and the difference between the start time of the other second curve segment and the time corresponding to the third target maximum value is less than or equal to the eighteenth pre-predetermined Set the value.

The difference t ₀ of the time at which the start time of the other second curved segment corresponds to the third target maximum value can be seen in FIG. 20 .

Further, the fifth preset condition may further include: a duration of a corresponding moment of the first and second ends of the plurality of modulo lengths is equal to a second preset duration, and three coordinate axes components corresponding to each two adjacent modulo lengths of the plurality of modulo lengths The sum s of the absolute values of the differences is greater than or equal to the nineteenth preset value; where s is expressed as:

Exemplarily, the second preset duration is 5s, and the wearable device can determine whether the sum s of the absolute values of the differences of the three coordinate axis components corresponding to each two adjacent die lengths is greater than the plurality of die lengths within 5 seconds. Or equal to the nineteenth preset value. When the sum s of the absolute values of the differences of the three coordinate axis components corresponding to each two adjacent die lengths is greater than or equal to the nineteenth preset value, it can be indicated that the mode length curve is not very smooth. Normally, when the wearable device is worn on the relevant part of the foot, the curve length is not very smooth, and when the wearable device is worn on the relevant part of the hand, the curve of the mold length is smoother.

In another possible implementation manner of the embodiment of the present application, the third preset condition in the step 2032 may include: the duration of the corresponding moments of the first and second ends of the plurality of modulo lengths is equal to the second preset duration, and the plurality of modulo lengths The k second curve segments are included, and k is greater than or equal to the eleventh preset value.

For example, referring to FIG. 21, when the fourth preset duration is 5 s and the eleventh preset value is 2, if the second preset period satisfying the fifth preset condition is detected within 5 s of the fourth preset duration If the number is greater than or equal to 2, it may be stated that the third preset condition is met, and the wearable device may determine that the state of the wearable device is a foot motion state.

In this case, the wearable device can avoid erroneous recognition of the state of the wearable device due to erroneous detection of the second curved segment, thereby improving the recognition accuracy and reliability of the state of the wearable device and the wearing portion.

In the embodiment of the present application, the wearable device may determine whether the second or third preset condition is met within the second preset duration, thereby determining whether it is a foot motion state, and the second preset duration is usually small, for example, It can be 5 s, so the wearable device determines the state of the wearable device and the wearing portion is more efficient, and the memory usage is low. Thereby, it is possible to make the delay in calling the step counting algorithm related to the wearing part smaller after determining the state of the wearable device and the wearing part.

Moreover, the method for determining the state of the wearable device according to the modulo length provided by the embodiment of the present application has lower computational complexity, and thus the occupied memory is smaller, so that the power consumption of the wearable device is also smaller. For example, when the sampling frequency is 100 Hz, when the state of the wearable device is determined by using the method provided by the embodiment of the present application, the number of addition operations in 5 seconds is only about 200,000 times.

In the embodiment of the present application, the wearable device may determine whether there is a first target maximum value that satisfies the fourth preset condition within the fourth preset time period, thereby determining whether the plurality of mode lengths meet the second preset condition; The wearable device needs to determine whether the plurality of die lengths meet the feature of “flat convex and concave punch” in a time period longer than the fifth preset time length, thereby determining whether the plurality of die lengths meet the third preset condition, and the fourth preset duration It can usually be less than or equal to the fifth preset duration. That is to say, the time period during which the wearable device determines whether the plurality of modulo lengths meet the second preset condition may be less than a period of time during which the wearable device determines whether the plurality of modulo lengths meet the third preset condition. Therefore, in an optional implementation manner of step 2032, the wearable device may preferentially determine whether the plurality of modulo lengths meet the second preset condition, thereby preferentially processing the modulo length signal in the short period of time; When the condition is preset, the wearable device determines whether the third preset condition is met, that is, the signal in the long period of time is processed again, so that the power consumption of the wearable device is low.

In addition, in a possible implementation manner of the embodiment of the present application, the step 203 may specifically include: when the difference d of the average energy of the measurement data of the accelerometer corresponding to the two adjacent second preset durations is greater than or equal to The twentieth preset value determines the state of the wearable device according to the plurality of modulo lengths and the at least one preset condition.

In this implementation manner, when the difference d of the average energy of the measurement data of the accelerometer corresponding to the two adjacent second preset durations is greater than or equal to the twentieth preset value, the energy may be significantly changed. The reason may be that the state of the wearable device is changed, for example, from the stationary state to the foot motion state, and thus the state of the wearable device can be determined at this time.

Among them, in one case, d can be expressed as:

In another case, d can be expressed as:

Wherein, (x _i , y _i , z _i ) represents three coordinate axis components included in the measurement data of the accelerometer corresponding to the i-th sampling time within the q+1th second preset time period, (x _j , y _j , z _j ) represents the three coordinate axis components of the measurement data of the accelerometer corresponding to the jth sampling time in the qth second preset time period, q is an integer, and n is included in the second preset duration The number of sampling instants, n is a positive integer, the range of i is a positive integer less than or equal to n, and the range of j is a positive integer less than or equal to n. Exemplarily, when the difference d is calculated using Expression 1, the twentieth preset value may be 0.2 g.

In another possible implementation manner, the foregoing step 203 may include: the wearable device periodically determines the state of the wearable device according to the plurality of die lengths and the at least one preset condition.

Among them, the period here can be set according to actual needs. Exemplarily, the period may be set to 30 s, that is, the wearable device may determine the state of the wearable device according to step 203 every 30 s.

In another possible implementation manner, the wearable device may determine the state of the wearable device according to step 203 when receiving the indication information of the user. For example, the user may trigger the indication information by means of voice, button, touch screen or gesture (eg, continuously shaking the wearable device) to indicate that the wearable device determines the state of the wearable device according to step 203.

Further, referring to FIG. 8, in the embodiment of the present application, after the wearable device determines the state of the wearable device according to the plurality of die lengths and the at least one preset condition, the method may further include:

Step 204: The wearable device prompts the user for the status of the wearable device.

Specifically, the wearable device can prompt the user for the state of the wearable device by using a screen, a voice, a light, a vibration, or the like. For example, the wearable device can prompt the user through the screen to determine the status of the wearable device. Specifically, referring to FIG. 22a, the wearable device can display a hand icon (or English of the hand, or a phonetic acronym of the hand) on the screen to prompt the user to determine the state of the wearable device as Hand movement status. Referring to FIG. 22b, the wearable device can display a pictorial representation of the foot (or the English of the foot, or the pinyin acronym of the foot) on the screen to prompt the user to determine the state of the wearable device as foot motion. status.

For another example, referring to FIG. 23, the wearable device can promptly indicate to the user through the microphone that the state of the wearable device is a stationary state, a foot motion state, or a hand motion state.

For another example, the wearable device can also prompt the user to determine the state of the wearable device as the hand motion state by shaking once, and prompt the user to determine the state of the wearable device as the foot motion state by shaking twice.

It can be understood that there are various ways for the wearable device to prompt the user for the state of the wearable device, and details are not described herein again.

Further, although the drawing is not shown, before step 203, the method may further include:

Step 205: The wearable device filters the measurement data or the mode length of the accelerometer.

Filtering the measurement data or the mode length of the accelerometer can filter out some of the glitch generated by the noise, so that the modulus length corresponding to the plurality of mode lengths used to determine the state of the wearable device in step 203 is smoother, and the noise is reduced. The resulting glitch misjudges the maximum or minimum value of the die length, improving the accuracy and efficiency of determining the state of the wearable device.

In addition, it should be noted that, in the first preset value to the twentieth preset value in the embodiment of the present application, the specific value of the first preset duration to the sixth preset duration may be set according to actual needs, and the application is implemented. The examples are not specifically limited.

In addition, it should be noted that, in the embodiment of the present application, the data collected by the accelerometer in the wearable device may be cached into the storage unit, and the processing unit in the wearable device may periodically read from the storage unit. The measurement data of the accelerometer is used to calculate the modulus length corresponding to the measurement data of the accelerometer, and then the state of the wearable device is determined according to the plurality of die lengths and at least one preset condition. Illustratively, the period during which the wearable device reads the measurement data of the accelerometer may be 1 s.

In addition, for example, the curve and the die length curve corresponding to the three coordinate axis components of the actually measured accelerometer can be seen in FIG. 24a to FIG. 24e, and in FIG. 24a to FIG. 24e, the top curve is the die length curve. (The vertical axis value is the largest compared to the other three), and the other three curves are the curves corresponding to the three coordinate axis components of the accelerometer. The curve in Fig. 24a is the curve actually worn when the user goes upstairs, and the curve in Fig. 24b is the curve actually worn when the user walks, and the curve is shown in Fig. 24c. The curve actually measured when worn on the ankle and when the user runs; the curve in Fig. 24d is the curve actually worn when the user walks on the wrist, and the curve is the wrist worn in Fig. 24e, and the user The actual measured curve while running.

Wherein, the die length curve in FIG. 24a and FIG. 24b corresponding to the ankle portion conforms to a third preset condition, such as a mode The trend of the long curve conforms to the feature of "flat convex and concave punch"; the die length curve in Fig. 24c corresponding to the ankle portion conforms to the second preset condition, for example, the feature conforming to the first target maximum value, and the trend of the die length curve is "vibration and convexity", in which "vibration" means oscillation; the mode length curve in Fig. 24d and Fig. 24e corresponding to the wrist portion does not satisfy the second preset condition and the third preset condition, and does not satisfy the first preset condition. In addition, Fig. 24f also provides a measured graph in which the portion indicated by the arrow indicates the modulus curve of the user in a stationary state, which is a first curved segment having a longer duration. Moreover, the experimental results show that when the state determination method provided by the embodiment of the present application is used to determine the state of the wearable device, the accuracy may be greater than or equal to 98%.

In addition, the embodiment of the present application further provides a method, the method may include: when the wearable device detects that the wearable device is worn on an arm, a hand or a wrist, the wearable device uses a first algorithm to calculate walking or running Distance, when the wearable device detects the user's view, the wearable device displays the step result and identifies the step result worn on the arm, hand or wrist. When the wearable device detects that the wearable device is worn on the ankle, the calf or the foot, the wearable device uses a second algorithm to calculate the walking or running distance, and the wearable device displays the step result when viewed by the wearable device user. It also identifies the step-by-step results of wearing on the ankle, calf or foot. The first algorithm may be a general-purpose algorithm or a step-and-step algorithm suitable for wearing a wearable device on an arm, a hand or a wrist. The second algorithm can be a general purpose algorithm or a step counter algorithm suitable for portable devices to wear on the ankle, calf or foot. As a possible implementation, the first algorithm may be the same as the second algorithm.

Wherein, when the wearable device detects that the wearable device is worn on the arm, the hand or the wrist, the wearable device can display the same flag while displaying the step result to identify the wearable device being worn on the arm and the hand. On the wrist or wrist, the corresponding symbol of the arm, hand or wrist can also be displayed to identify whether the wearable device is worn on the arm, the hand or the wrist.

For example, referring to FIG. 25, when the wearable device detects that the wearable device is worn on the arm, the hand or the wrist, the wearable device can display the icon of the hand and the pinyin of the hand while displaying the step result. The initials of the letters or the English of the hand to identify the current wearing position as the arm, hand or wrist. Alternatively, when the wearable device detects that the wearable device is worn on the arm, the wearable device can display the icon of the arm, the pinyin abbreviation of the arm, or the English of the arm, etc., while displaying the step result. The current wearing position is an arm; when the wearable device detects that the wearable device is worn on the wrist, the wearable device can display the icon of the wrist, the acronym of the wrist, and the English of the wrist while displaying the step result. To identify the current wearing position as the wrist.

When the wearable device detects that the wearable device is worn on the ankle, the calf or the foot, the wearable device can display the same sign to indicate that the wearable device is worn on the ankle, the calf or the foot while displaying the step result. It is also possible to respectively display a logo corresponding to the ankle, calf or foot to identify whether the wearable device is specifically worn on the ankle, the calf or the foot.

For example, referring to FIG. 26, when the wearable device detects that the wearable device is worn on the ankle, the calf or the foot, the wearable device can display the pictogram of the foot and the pinyin initial of the foot while displaying the step result. The abbreviation or the English of the foot to identify the current wearing position as the ankle, calf or foot. Alternatively, when the wearable device detects that the wearable device is worn on the ankle, the wearable device may display the icon of the ankle, the pinyin acronym of the ankle or the English of the ankle, etc., while displaying the step result. The current wearing position is an ankle; when the wearable device detects that the wearable device is worn on the lower leg, the wearable device can display while displaying the step result The illustration of the leg, the initials of the pinyin of the leg, and the English of the leg, to identify the current wearing part as the calf part.

In a further implementation, when the wearable device detects that the wearable device is worn around the neck, the wearable device can employ a third algorithm to calculate the walking or running distance. When the wearable device detects the user's view, it displays the step result and identifies the step result that is worn around the neck (for example, a graphic showing the neck, or the English of the neck, or the Chinese pinyin initials of the neck) Abbreviations, etc.). The third algorithm may be a general-purpose algorithm or a step-counting algorithm suitable for wearing a wearable device around the neck. As a possible implementation, the third algorithm may also be the same as the first algorithm or the second algorithm.

In another implementation, when the wearable device detects that the wearable device is worn on the ankle, the calf or the foot, the wearable device can automatically turn off the blood pressure, and/or the heartbeat and other physiological parameter detecting module to save the wearable device. Power consumption, extending the life of wearable devices.

In another implementation manner, when the wearable device detects that the wearable device is worn around the neck, the wearable device can automatically turn off the blood pressure, and/or the physiological parameter detecting module such as a heartbeat to save the power consumption of the wearable device. Extend the life of your wearable device.

Specifically, the method for determining the wearing position of the portable device by the portable device is the state determining method provided by the foregoing method embodiment of the present application. Wherein, when the portable device determines that the state of the portable device is the foot motion state, the portable device may determine that the wearing portion of the portable device is a foot-related portion, such as an ankle, a calf or a foot; when the portable device determines the state of the portable device as a hand In the state of motion, the portable device can determine that the wearing portion of the portable device is a hand-related portion, such as an arm, a hand, or a wrist.

It should be understood that the wearable device detects the user's view, including: the wearable device detects that the user clicks on the power button of the wearable device; or the wearable device detects that the user clicks on the touch screen of the wearable device; or, the wearable device detects The wearable device is operated to the user in a preset manner (for example, the wearable device is continuously shaken twice); or the wearable device detects the voice command of the user; or the wearable device detects that the user has stopped for more than the preset duration. Alternatively, the wearable device detects that the user raises his hand to view the wearable device, or the wearable device detects that the user picks up the wearable device for viewing; or the wearable device detects that the user is on the lower leg (or an ankle, or a toe) Remove the wearable device and pick up the wearable device for viewing.

It can be understood that, in order to implement the above functions, the portable device includes a corresponding hardware structure and/or software module for executing each function. Those skilled in the art will readily appreciate that the present application can be implemented in a combination of hardware or hardware and computer software in combination with the algorithmic steps of the various examples described in the embodiments disclosed herein. Whether a function is implemented in hardware or computer software to drive hardware depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods to implement the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present application.

The embodiment of the present application may divide the function module into the portable device according to the foregoing method example. For example, each function module may be divided according to each function, or two or more functions may be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of the module in the embodiment of the present application is schematic, and is only a logical function division, and the actual implementation may have another division manner.

FIG. 27 shows a possible composition diagram of the portable device 40 involved in the above and the embodiments. As shown in FIG. 27, the portable device 40 may include: Accelerometer 41, calculation unit 42 and determination unit 43, accelerometer 41 can be used according to preset sampling room The measurement data of the accelerometer is included in the measurement data of the accelerometer, and includes three coordinate axis components. The calculation unit 42 can be used to calculate the modulus length corresponding to the measurement data of the accelerometer. The determining unit 43 may be configured to determine a state of the portable device according to the plurality of die lengths and the at least one preset condition, the state of the portable device including a stationary state, a foot motion state, or a hand motion state.

Further, the portable device 40 may further include a prompting unit for prompting the user of the state of the portable device after the determining unit determines the state of the portable device.

In addition, accelerometers, computing units, determining units can also be used in other processes of the techniques described herein.

It should be noted that all the related content of the steps involved in the foregoing method embodiments may be referred to the functional descriptions of the corresponding functional modules, and details are not described herein again.

In the case where the respective functional modules are divided by the corresponding functions, FIG. 28 shows another possible composition diagram of the portable device 50 involved in the above and the embodiments. As shown in FIG. 28, the portable device 50 may include: Accelerometer 51 and processor 52. The accelerometer 51 can be used to perform step 201 in FIG. 6, that is, collecting measurement data of the accelerometer, the measurement data of the accelerometer includes three coordinate axis components; the processor 52 can be used to support the portable device 50 to perform the operation in FIG. Steps 202-203, that is, the portable device calculates a modulus length corresponding to the measurement data of the accelerometer, and determines a state of the portable device according to the plurality of modulus lengths and at least one preset condition, and the state of the portable device includes a stationary state and a foot motion state. Or hand movement status.

The foot motion state is used to indicate that the portable device is worn on the user's ankle, foot or calf, and the portable device is in a state of motion; the hand motion state is used to indicate that the portable device is worn on the user's hand, wrist or arm. And the portable device is in motion.

Moreover, the processor 52 can also be used to support the portable device 50 to perform step 2031, step 2032, step 2033 and step 204 of FIG. 8, and steps 205 of the above method embodiments, and/or for the techniques described herein. Other processes.

The portable device 50 provided by the embodiment of the present application is configured to perform the above state determination method, and thus the same effect as the above state determination method can be achieved.

In the case of employing an integrated unit, FIG. 29 shows another possible composition diagram of the portable device 60 involved in the above embodiment. As shown in FIG. 29, the portable device 60 may include a processing module 61 and a storage module 62.

The processing module 61 is configured to control and manage the actions of the portable device. For example, the processing module 61 is configured to support the portable device to perform steps 201-205 and steps 2031-2033 in the foregoing method embodiments, and/or for the description herein. Other processes of technology. The storage module 62 is configured to store program codes and data of the portable device.

The processing module 61 can be a processor or a controller. It is possible to implement or carry out the various illustrative logical blocks, modules and circuits described in connection with the present disclosure. The processor can also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a digital signal processor (DSP) and a microprocessor, and the like. In one implementation, the processing module 61 in FIG. 29 may specifically be the processor 52 in FIG. 28, and the processor 52 may specifically be a coprocessor sensor hub or the like. The storage module 62 can be a memory.

Through the description of the above embodiments, those skilled in the art can clearly understand that, for the description Convenient and concise, only the division of each functional module mentioned above is illustrated. In practical applications, the above function assignment can be completed by different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete the above. All or part of the function described.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or It can be integrated into another device, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may be one physical unit or multiple physical units, that is, may be located in one place, or may be distributed to a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. The above-described integrated unit can be stored in a readable storage medium if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the embodiments of the present application may be embodied in the form of a computer program product in the form of a computer program product, or a part of the technical solution, which is essential to the prior art, and the computer program product is stored in a The storage medium includes instructions for causing a device (which may be a microcontroller, chip, etc.) or a processor to perform all or part of the steps of the various embodiments of the present application. The foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above is only a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto, and any change or replacement that can be easily conceived within the technical scope disclosed by those skilled in the art should be It is covered by the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of protection of the claims.

Claims

A state determining method is applied to a portable device, the portable device comprising an accelerometer, wherein the method comprises:

Collecting measurement data of the accelerometer, the measurement data of the accelerometer includes three coordinate axis components;

Calculating a modulus length corresponding to the measurement data of the accelerometer;

The state of the portable device is determined based on a plurality of die lengths and at least one preset condition, the state of the portable device including a stationary state, a foot motion state, or a hand motion state.
The method according to claim 1, wherein said foot motion state is for indicating that said portable device is worn on an ankle, a foot or a calf portion of a user, and said portable device is in a motion state;

The hand motion state is used to indicate that the portable device is worn on the user's hand, wrist or arm, and the portable device is in a motion state.
The method according to claim 1 or 2, wherein the determining the state of the portable device according to the plurality of modulus lengths and the at least one preset condition comprises:

Determining that the state of the portable device is a stationary state if the plurality of die lengths meet the first preset condition;

Determining that the state of the portable device is a foot motion state if the plurality of die lengths meet the second preset condition or the third preset condition;

If the plurality of modulo lengths do not satisfy the first preset condition, the second preset condition, and the third preset condition, determining that the state of the portable device is a hand motion state.
The method according to claim 3, wherein the first preset condition comprises:

The plurality of die lengths includes a first curved segment, and a duration of a corresponding moment between the first and last ends of the first curved segment is greater than or equal to a first preset duration;

The modulus length corresponding to the first curved segment is greater than or equal to the first preset value and less than or equal to the second preset value;

The first preset value is smaller than the gravitational acceleration, the second preset value is greater than the gravitational acceleration, and the difference between the second preset value and the first preset value is less than or equal to the third preset value. .
The method according to claim 3 or 4, wherein the second preset condition comprises:

The plurality of moduli lengths includes a first target maximum value; or the durations of the plurality of modulo lengths at the ends of the first and last ends are equal to a second preset duration, and the plurality of modulo lengths include m first a target maximum value, m is greater than or equal to a fourth preset value;

The first target maximum value satisfies a fourth preset condition, and the fourth preset condition includes:

The first target maximum value is greater than or equal to a fifth preset value;

And the plurality of moduli lengths further include a first minimum value and a second minimum value, where the first minimum value is in a third preset duration in which the time corresponding to the first target maximum value is located a minimum value adjacent to the first target maximum value before the time corresponding to the first target maximum value, and the second minimum value is after the time corresponding to the first target maximum value a minimum value of the first target maximum value adjacent to the first target;

The upslope drop is greater than or equal to a sixth preset value, where the uphill drop is the absolute value of the difference between the first minimum value and the first target maximum value;

The downhill drop is greater than or equal to a seventh preset value, and the downhill drop is the difference between the first target maximum value and the second minimum value;

The first bit width is less than or equal to an eighth preset value, and the first bit width is a time corresponding to the second minimum value a difference in time corresponding to the first minimum value;

The first target maximum value is a maximum value of the plurality of die lengths in a fourth preset duration, and the fourth preset duration is greater than the third preset duration.
The method according to claim 5, wherein the fourth preset condition further comprises:

The half-bit width corresponding to the first target maximum value is less than or equal to a ninth preset value;

Wherein, when the upslope drop is less than or equal to the downslope drop, the half width is an absolute value of a difference between the first time and the second time, the first time and the second time The moment is two moments corresponding to a mode length represented by a sum of a half of the uphill drop within the third preset duration, the first moment and the second moment Between the time corresponding to the first minimum value and the time corresponding to the second minimum value;

When the upslope drop is greater than the downslope drop, the half width is an absolute value of a difference between the third time and the fourth time, and the third time and the fourth time are In the third preset duration, the second minimum value corresponds to two moments corresponding to the mode length indicated by the sum of the half of the downhill fall, and the third moment and the fourth moment are in the A time corresponding to a minimum value and a time corresponding to the second minimum value.
The method according to claim 5 or 6, wherein the fourth preset condition further comprises:

The ratio of the sum of the uphill drop and the downhill drop to the first bit width corresponding to the first target maximum value is greater than or equal to the tenth preset value.
The method according to any one of claims 3-7, wherein the third preset condition comprises:

The plurality of die lengths includes a second curved segment; or, the plurality of die lengths of the first and second ends correspond to a second preset duration, the plurality of die lengths including k second curved segments , k is greater than or equal to the eleventh preset value;

The second curve segment satisfies a fifth preset condition, and the fifth preset condition includes:

The duration of the time corresponding to the first and last ends of the second curved section is greater than or equal to the fifth preset duration and less than the first preset duration;

The modulus corresponding to the second curved segment is greater than or equal to the twelfth preset value and less than or equal to the thirteenth preset value, and the difference between the thirteenth preset value and the twelfth preset value Less than or equal to the fourteenth preset value.
The method according to claim 8, wherein the fifth preset condition further comprises:

After the second curved segment, the plurality of die lengths further includes a second target maximum value, a target minimum value, and a third target maximum value;

The second target maximum value is an extreme value adjacent to the second curved segment after the second curved segment;

The target minimum value is an extreme value adjacent to the second target maximum value after the second target maximum value;

The third target maximum value is a maximum value after the target minimum value, and the third target maximum value is a maximum value of the plurality of modulus lengths within a sixth preset time length.
The method according to claim 9, wherein the fifth preset condition further comprises at least one of the following conditions:

The target minimum value is less than or equal to the fifteenth preset value; or

The second bit width corresponding to the second target maximum value is less than or equal to a sixteenth preset value, and the second bit width is a time corresponding to the target minimum value and an end time of the second curved segment Difference; or,

The ratio of the third target maximum value to the second target maximum value is greater than or equal to the seventeenth preset value; or

The third target maximum value further includes another second curved section, and the difference between the starting moment of the other second curved section and the moment corresponding to the third target maximum is less than or equal to the tenth Eight preset values.
The method according to any one of claims 8 to 10, wherein the fifth preset condition further comprises:

The duration of the corresponding moments of the first and second ends of the plurality of moduli lengths is equal to the second preset duration, and the sum s of the absolute values of the differences of the three coordinate axis components corresponding to each of the two adjacent modulo lengths is greater than Or equal to the nineteenth preset value; where s is expressed as:

Wherein (x i , y i , z i ) represents three coordinate axis components included in the measurement data of the accelerometer corresponding to the ith sampling moment in the second preset duration, (x i+1 , y i+1 , z i+1 ) represents three coordinate axis components included in the measurement data of the accelerometer corresponding to the i+1th sampling time in the second preset duration, and the value range of i is Each sampling time within the second preset duration.
The method according to any one of claims 1 to 11, wherein the determining the state of the portable device according to the plurality of modulus lengths and the at least one preset condition comprises:

When the difference d of the average energy of the measurement data of the accelerometer corresponding to the two adjacent second preset durations is greater than or equal to the twentieth preset value, determining the portable according to the plurality of modulus lengths and the at least one preset condition Status of the device;

Alternatively, the state of the portable device is determined periodically based on the plurality of die lengths and the at least one preset condition.
The method of claim 13 wherein d is:

Wherein, (x i , y i , z i ) represents the three coordinate axis components included in the measurement data of the accelerometer corresponding to the i-th sampling time in the q+1th second predetermined duration, ( x j , y j , z j ) represents the three coordinate axis components of the measurement data of the accelerometer corresponding to the jth sampling time in the qth second predetermined duration, q is an integer, n is The number of sampling moments included in the second preset duration, n is a positive integer, the range of i is a positive integer less than or equal to n, and the range of j is a positive integer less than or equal to n.
The method according to any one of claims 1 to 13, wherein after the determining the state of the portable device according to the plurality of modular lengths and the at least one preset condition, the method further comprises:

The user is prompted with the status of the portable device.
A portable device includes an accelerometer and a processor, wherein the accelerometer is configured to collect measurement data of the accelerometer, and the measurement data of the accelerometer includes three coordinate axis components;

The processor is configured to calculate a modulus length corresponding to the measurement data of the accelerometer;

The state of the portable device is determined based on a plurality of die lengths and at least one preset condition, the state of the portable device including a stationary state, a foot motion state, or a hand motion state.
The portable device according to claim 15, wherein said foot motion state is for indicating that said portable device is worn on an ankle, a foot or a calf portion of a user, and said portable device is in a motion state;

The hand motion state is used to indicate that the portable device is worn on the user's hand, wrist or arm And the portable device is in motion.
The portable device according to claim 15 or 16, wherein the processor is specifically configured to:

Determining that the state of the portable device is a stationary state if the plurality of die lengths meet the first preset condition;

Determining that the state of the portable device is a foot motion state if the plurality of die lengths meet the second preset condition or the third preset condition;

If the plurality of modulo lengths do not satisfy the first preset condition, the second preset condition, and the third preset condition, determining that the state of the portable device is a hand motion state.
The portable device according to claim 17, wherein the first preset condition comprises:

The plurality of die lengths includes a first curved segment, and a duration of a corresponding moment between the first and last ends of the first curved segment is greater than or equal to a first preset duration;

The modulus length corresponding to the first curved segment is greater than or equal to the first preset value and less than or equal to the second preset value;

The first preset value is smaller than the gravitational acceleration, the second preset value is greater than the gravitational acceleration, and the difference between the second preset value and the first preset value is less than or equal to the third preset value. .
The portable device according to claim 17 or 18, wherein the second preset condition comprises:

The plurality of moduli lengths includes a first target maximum value; or the durations of the plurality of modulo lengths at the ends of the first and last ends are equal to a second preset duration, and the plurality of modulo lengths include m first a target maximum value, m is greater than or equal to a fourth preset value;

The first target maximum value satisfies a fourth preset condition, and the fourth preset condition includes:

The first target maximum value is greater than or equal to a fifth preset value;

And the plurality of moduli lengths further include a first minimum value and a second minimum value, where the first minimum value is in a third preset duration in which the time corresponding to the first target maximum value is located a minimum value adjacent to the first target maximum value before the time corresponding to the first target maximum value, and the second minimum value is after the time corresponding to the first target maximum value a minimum value of the first target maximum value adjacent to the first target;

The upslope drop is greater than or equal to a sixth preset value, where the uphill drop is the absolute value of the difference between the first minimum value and the first target maximum value;

The downhill drop is greater than or equal to a seventh preset value, and the downhill drop is the difference between the first target maximum value and the second minimum value;

The first bit width corresponding to the first target maximum value is less than or equal to an eighth preset value, and the first bit width is a time corresponding to the second minimum value corresponding to the first minimum value. The difference in time;

The first target maximum value is a maximum value of the plurality of die lengths in a fourth preset duration, and the fourth preset duration is greater than the third preset duration.
The portable device according to claim 19, wherein the fourth preset condition further comprises:

The half-bit width corresponding to the first target maximum value is less than or equal to a ninth preset value;

Wherein, when the upslope drop is less than or equal to the downslope drop, the half width is an absolute value of a difference between the first time and the second time, the first time and the second time The moment is two moments corresponding to a mode length represented by a sum of a half of the uphill drop within the third preset duration, the first moment and the second moment Between the time corresponding to the first minimum value and the time corresponding to the second minimum value;

When the upslope drop is greater than the downslope drop, the half width is an absolute value of a difference between the third time and the fourth time, and the third time and the fourth time are In the third preset duration, the second minimum value corresponds to two moments corresponding to the mode length indicated by the sum of the half of the downhill fall, and the third moment and the fourth moment are in the A time corresponding to a minimum value and a time corresponding to the second minimum value.
The portable device according to claim 19 or 20, wherein the fourth preset condition further comprises:

The ratio of the sum of the uphill drop and the downhill drop to the first bit width corresponding to the first target maximum value is greater than or equal to the tenth preset value.
The portable device according to any one of claims 17 to 21, wherein the third preset condition comprises:

The plurality of die lengths includes a second curved segment; or, the plurality of die lengths of the first and second ends correspond to a second preset duration, the plurality of die lengths including k second curved segments , k is greater than or equal to the eleventh preset value;

The second curve segment satisfies a fifth preset condition, and the fifth preset condition includes:

The duration of the time corresponding to the first and last ends of the second curved section is greater than or equal to the fifth preset duration and less than the first preset duration;

The modulus corresponding to the second curved segment is greater than or equal to the twelfth preset value and less than or equal to the thirteenth preset value, and the difference between the thirteenth preset value and the twelfth preset value Less than or equal to the fourteenth preset value.
The portable device according to claim 22, wherein the fifth preset condition further comprises:

After the second curved segment, the plurality of die lengths further includes a second target maximum value, a target minimum value, and a third target maximum value;

The second target maximum value is an extreme value adjacent to the second curved segment after the second curved segment;

The target minimum value is an extreme value adjacent to the second target maximum value after the second target maximum value;

The third target maximum value is a maximum value after the target minimum value, and the third target maximum value is a maximum value of the plurality of modulus lengths within a sixth preset time length.
The portable device according to claim 23, wherein the fifth preset condition further comprises at least one of the following conditions:

The target minimum value is less than or equal to the fifteenth preset value; or

The second bit width corresponding to the second target maximum value is less than or equal to a sixteenth preset value, and the second bit width is a time corresponding to the target minimum value and an end time of the second curved segment Difference; or,

The ratio of the third target maximum value to the second target maximum value is greater than or equal to the seventeenth preset value; or

The third target maximum value further includes another second curved section, and the difference between the starting moment of the other second curved section and the moment corresponding to the third target maximum is less than or equal to the tenth Eight preset values.
The portable device according to any one of claims 22 to 24, wherein the fifth preset condition further comprises:

The duration of the corresponding moments of the first and second ends of the plurality of moduli lengths is equal to the second preset duration, and the sum s of the absolute values of the differences of the three coordinate axis components corresponding to each of the two adjacent modulo lengths is greater than Or equal to the nineteenth preset value; Where s is expressed as:

Wherein (x i , y i , z i ) represents three coordinate axis components included in the measurement data of the accelerometer corresponding to the ith sampling moment in the second preset duration, (x i+1 , y i+1 , z i+1 ) represents three coordinate axis components included in the measurement data of the accelerometer corresponding to the i+1th sampling time in the second preset duration, and the value range of i is Each sampling time within the second preset duration.
The portable device according to any one of claims 15 to 25, wherein the processor is specifically configured to:

When the difference d of the average energy of the measurement data of the accelerometer corresponding to the two adjacent second preset durations is greater than or equal to the twentieth preset value, determining the portable according to the plurality of modulus lengths and the at least one preset condition Status of the device;

Alternatively, the state of the portable device is determined periodically based on the plurality of die lengths and the at least one preset condition.
The portable device according to any one of claims 15 to 26, wherein the processor is further configured to:

The user is prompted with the status of the portable device.
A portable device, comprising: a sensor, a processor and a memory, the sensor comprising a gyroscope and an accelerometer, the memory for storing instructions, the processor for executing the instructions to cause the portable device The state determining method according to any one of claims 1-14 is performed.
A computer readable storage medium comprising instructions that, when run on a portable device, cause the portable device to perform the state determining method of any of claims 1-14.
A computer program product comprising instructions, characterized in that, when it is run on a portable device, the portable device is caused to perform the state determining method according to any one of claims 1-14.
An apparatus, characterized in that the apparatus exists in the form of a product of a chip, the structure of the apparatus comprising a processor and a memory, the memory being for coupling with the processor, and a program for saving the device And instructions for executing the program instructions stored in the memory such that the apparatus performs the function of data processing in the state determining method according to any one of claims 1-14.