WO2018223395A1

WO2018223395A1 - Management method and apparatus for wearable smart device

Info

Publication number: WO2018223395A1
Application number: PCT/CN2017/087807
Authority: WO
Inventors: 王敏; 柯奎雄; 王书峰; 孟欣; 胡征远
Original assignee: 华为技术有限公司
Priority date: 2017-06-09
Filing date: 2017-06-09
Publication date: 2018-12-13
Also published as: CN108886749B; CN108886749A

Abstract

Disclosed are a management method and apparatus for a wearable smart device, used for solving the problem in the prior art of electric energy being wasted due to the fact that a relatively large amount of power is consumed when a wearable smart device is in a static state. The method specifically comprises: a wearable smart device acquiring, from an acceleration sensor, data collected by the acceleration sensor; and determining that the wearable smart device is in a static state according to the data acquired from the acceleration sensor, and stopping acquiring data from the acceleration sensor when the duration of the static state reaches a first pre-set duration.

Description

Management method and device for wearable smart device

Technical field

The present application relates to the field of communications technologies, and in particular, to a management method and apparatus for a wearable smart device.

Background technique

The wearable smart device is a general term for intelligently designing and developing wearable smart devices for everyday wear, such as smart watches and various smart bracelets for physical monitoring. Currently, some wearable smart devices have the functions of recording walking data, detecting sleep, monitoring heartbeat, alarm clock, and health reminders.

However, many users do not wear the wearable smart device while sleeping or not exercising, so that the wearable smart device may remain in the standing state, or the wearable smart device is still in the state when the wearable smart device is not in the moving state. When the wearable smart device is in the static state, all the monitoring functions in the system are all turned on, which results in a large power consumption of the wearable smart device, which causes waste of power, thereby shortening the use time of the wearable smart device. Reduced user experience.

Summary of the invention

The embodiment of the present invention provides a method and a device for managing a wearable smart device, which are used to solve the problem that the wearable smart device in the prior art has a large power consumption and wastes power when the device is in a static state.

In a first aspect, an embodiment of the present application provides a management method of a wearable smart device, including:

The wearable smart device acquires the data collected by the acceleration sensor from the acceleration sensor, and then determines that the wearable smart device is in a resting state based on the data acquired from the acceleration sensor, and the duration of the standing state reaches the first preset When the duration is long, the acquisition of data from the acceleration sensor is stopped.

In the above solution, the method for determining that the wearable smart device is in the static state continues to be preset in the embodiment of the present application. When the data is stopped from the acceleration sensor for a long period of time, unnecessary power consumption can be avoided, thereby improving the use time of the wearable smart device, thereby improving the user experience.

Optionally, the wearable smart device periodically acquires data collected by the acceleration sensor from the acceleration sensor.

In a possible design, when the wearable smart device determines that the wearable smart device is in a resting state based on data acquired from the acceleration sensor, the wearable smart device may be implemented as follows:

The wearable smart device determines that the wearable smart device is in a resting state when it is determined that the data acquired from the acceleration sensor is less than or equal to a fourth preset threshold.

In the above design, the wearable smart device can determine that the wearable smart device is in a static state in time, so as to stop acquiring data from the acceleration sensor in time, thereby avoiding unnecessary power consumption.

In one possible design, an infrared sensor may also be included in the wearable smart device. The wearable smart device may acquire data collected by the infrared sensor from an infrared sensor, such that the trigger timing of the wearable smart device to stop acquiring data from the acceleration sensor determines the wearable based on the above-described data based on the acceleration sensor. The smart device is in a state of being in a state of being in a state of being in a state of being in a state of being in a state of being in a state of being in a state of being in a state of being in a state of being in a state of being in a state of being in a state of being in a state in which the The unworn state and the unworn state reach the second preset duration.

The second preset duration may be equal to the first preset duration, and may not be equal to the first preset duration. The embodiment of the present application is not specifically limited herein.

In the above design, when it is determined that the unworn state of the wearable smart device continues for a preset duration based on the data acquired from the infrared sensor, stopping the acquisition of data from the acceleration sensor can avoid unnecessary power consumption, thereby improving the wearable intelligence. The usage time of the device can further enhance the user experience.

In a possible design, after the wearable smart device stops acquiring data from the acceleration sensor, if the wearable smart device receives the interrupt signal sent by the acceleration sensor, the wearable smart device is In the non-resting state, the data collected by the acceleration sensor is acquired from the acceleration sensor, and the interruption signal is sent after the acceleration sensor determines that data greater than a preset threshold is collected; or After the wearable smart device stops acquiring data from the acceleration sensor, if the wearable smart device receives an instruction triggered by the user to operate the touch screen, and the wearable smart device is in a non-rest state, the device starts to acquire the acceleration sensor. The data collected by the acceleration sensor.

In the above design, when the wearable smart device is in a non-rest state, the data collected by the acceleration sensor is started in time to help ensure a good user experience.

In a possible design, the wearable smart device acquires data collected by the infrared sensor from an infrared sensor; after the wearable smart device stops acquiring data from the acceleration sensor, the wearable smart device is The data collected by the acceleration sensor is started to be acquired from the acceleration sensor when it is determined that the wearable smart device is in a wearing state based on data acquired from the infrared sensor.

In the above design, when the wearable smart device is in the wearing state, the data collected by the acceleration sensor is started from the acceleration sensor in time to help ensure a good user experience.

In one possible design, the wearable smart device can periodically acquire data from the infrared sensor. The infrared sensor can collect data periodically, and the acquisition period of the wearable device can be N times the collection period of the infrared sensor, and the N is a positive integer. When the wearable smart device acquires the data collected by the infrared sensor from the infrared sensor, the wearable smart device acquires the infrared sensor from the infrared sensor within a third preset time period (the duration corresponding to the collection period) The collected N pieces of data, the third preset duration is less than the second preset duration. Based on this, when the wearable smart device determines that the wearable smart device is in an unworn state based on data acquired from the infrared sensor, the wearable smart device may determine that the wearable smart device is not in the determination of one of the following conditions: Wearing status:

Condition 1: at least one of the N data is less than or equal to a first preset threshold, and an average value of the N data is not within a preset range;

Condition 2: at least one of the N data is less than or equal to a first preset threshold, and a minimum value of the N data is smaller than a second preset threshold, where the second preset threshold is smaller than the first Preset threshold

Condition 3: at least one of the N data is less than or equal to a first preset threshold, an average of the N data is not within the preset range, and a minimum value of the N data is less than the The second preset threshold.

In the above design, the wearable smart device can determine that the wearable smart device is in an unworn state based on the data acquired from the infrared sensor, so as to stop acquiring data from the acceleration sensor in time, thereby avoiding unnecessary power consumption.

In a possible design, the wearable smart device determines that the wearable smart device is in a wearing state based on data acquired from the infrared sensor, and may be implemented by any one of the following two ways: When the wearable smart device determines that the N data is greater than the first preset threshold, determining that the wearable smart device is a state of wearing; or the wearable smart device determines that at least one of the N data is less than or equal to the first preset threshold, an average of the N data is within a preset range, and the N When the minimum value of the data is greater than the second preset threshold, determining that the wearable smart device is in a wearing state; the second preset threshold is less than the first preset threshold.

In the above design, the wearable smart device can determine that the wearable smart device is in a wearing state based on the data acquired from the infrared sensor, so as to start acquiring the data collected by the acceleration sensor from the acceleration sensor in time, thereby ensuring good user satisfaction. The experience of using.

In one possible design, the method may further include: the wearable smart device turns off the short-range communication function when stopping acquiring data from the acceleration sensor.

In the above design, when the static state of the wearable smart device is determined to be a preset duration, the short-distance communication function is turned off, which can avoid unnecessary power consumption, thereby improving the use time of the wearable smart device, thereby improving the user's Use experience.

Optionally, the wearable smart device can also turn off other functions when stopping acquiring data from the acceleration sensor.

Optionally, the wearable smart device can also turn off the short-range communication function when determining that the wearable smart device is in the static state for a first preset duration.

In a possible design, after the wearable smart device turns off the short-range communication function, the wearable smart device starts the short-range communication function if receiving an interrupt signal sent by the acceleration sensor The interrupt signal is sent when the acceleration sensor determines that data greater than a preset threshold is collected; or, after the wearable smart device turns off the short-range communication function, the wearable smart device receives The short-range communication function is turned on when the user operates an instruction triggered by the touch screen.

Optionally, when the wearable smart device starts the short-range communication function, it may also start to acquire data collected by the acceleration sensor from the acceleration sensor and turn on other functions that are turned off.

In the above design, when the instruction triggered by the user operating the touch screen is received, it is determined that the wearable smart device is in a non-rest state, and when the wearable smart device is in the non-rest state, the closed short-distance communication function is turned on in time. Help to ensure a good user experience.

In a possible design, the wearable smart device acquires data collected by the infrared sensor from an infrared sensor; after the short-range communication function is turned off, the wearable smart device is based on obtaining from the infrared sensor The data determines that the wearable smart device is in a worn state, and the short-range communication function is turned on.

In the above design, based on the data acquired from the infrared sensor, it is determined that the wearable smart device is in a wearing state, and when the wearable smart device is in the wearing state, the closed short-distance communication function is turned on in time to help ensure that the user is in good condition. Use experience.

In a second aspect, the embodiment of the present application provides a management device for a wearable smart device, where the device may be applied to a wearable smart device, where the device includes:

An acceleration sensor and a processor; wherein the acceleration sensor is configured to collect data; the processor is configured to acquire data collected by the acceleration sensor from the acceleration sensor; and based on data acquired from the acceleration sensor Determining that the wearable smart device is in a resting state, and when the duration of the resting state reaches a first preset duration, stopping acquiring data from the acceleration sensor.

In a possible design, the device further includes an infrared sensor; the infrared sensor is configured to collect data; the processor is further configured to acquire data collected by the infrared sensor from the infrared sensor; Before stopping the acquisition of the data from the acceleration sensor, determining, based on the data acquired from the infrared sensor, that the wearable smart device is in an unworn state and in an unworn state reaches a second preset duration.

In a possible design, the processor is configured to: acquire N data collected by the infrared sensor from the infrared sensor for a third preset duration, where the N is a positive integer, The third preset duration is less than the second preset duration; determining that the wearable smart device is in an unworn state when it is determined that one of the following conditions is met:

In a possible design, the processor is further configured to start, after determining to acquire data from the acceleration sensor, when determining that the wearable smart device is in a wearing state based on data acquired from the infrared sensor The data acquired by the acceleration sensor is acquired from the acceleration sensor.

In a possible design, the processor is configured to: acquire N data collected by the infrared sensor from the infrared sensor for a third preset duration, where the N is a positive integer, The third preset duration is less than the second preset duration; determining that the wearable smart device is in a wearing state when the N data is greater than the first preset threshold; or determining the N Determining that the at least one data in the data is less than or equal to the first preset threshold, the mean value of the N data is within a preset range, and the minimum value of the N data is greater than a second preset threshold The wearable smart device is in a wearing state; the second preset threshold is smaller than the first preset threshold.

In a possible design, the acceleration sensor is further configured to: after the processor stops acquiring data collected by the acceleration sensor from the acceleration sensor, determining to collect data greater than a preset threshold The processor sends an interrupt signal; the processor is further configured to: after receiving the data acquired from the acceleration sensor, if the interrupt signal sent by the acceleration sensor is received, start acquiring the acceleration sensor from the acceleration sensor The data.

In a possible design, the device further includes a touch screen, the touch screen is configured to receive an instruction triggered by the user by operating the touch screen, and the processor is further configured to receive, when the user touches the touch screen, trigger When the command is started, the data collected by the acceleration sensor is acquired from the acceleration sensor.

In a possible design, the device further includes a short-range communication module; the short-range communication module is configured to implement a short-range communication function; and the processor is further configured to stop acquiring data from the acceleration sensor The short-range communication module is turned off.

In a possible design, the acceleration sensor is further configured to: after the processor stops acquiring data collected by the acceleration sensor from the acceleration sensor, determining to collect data greater than a preset threshold The processor sends an interrupt signal; the processor is further configured to: after the short-distance communication module is turned off, if the interrupt signal sent by the acceleration sensor is received, the short-range communication module is turned on.

In a possible design, the device further includes a touch screen, the touch screen is configured to receive an instruction triggered by the user by operating the touch screen, and the processor is further configured to: after the short-distance communication module is turned off, The short-range communication module is turned on when receiving an instruction that the user operates the touch screen trigger.

In a possible design, the device further includes an infrared sensor; the infrared sensor is configured to collect data; the processor is further configured to acquire data collected by the infrared sensor from the infrared sensor; After the short-range communication module is turned off, if it is determined that the wearable smart device is in a wearing state based on data acquired from the infrared sensor, the short-range communication module is turned on.

In a possible design, the processor, when determining that the wearable smart device is in a resting state based on data acquired from the acceleration sensor, is specifically configured to: determine data acquired from the acceleration sensor When less than or equal to the fourth preset threshold, determining that the wearable smart device is in a resting state.

In a third aspect, an embodiment of the present application further provides a wearable smart device, where the wearable smart device includes a processor and a memory, where the memory is used to store a software program, and the processor is configured to read the storage in the memory. Software program and method for implementing the first aspect or any of the above first aspects of the design. The wearable smart device can be a smart bracelet, a smart watch, or the like.

In a fourth aspect, the embodiment of the present application further provides a management device for a wearable smart device, where the device is applied to a wearable smart device, and the device includes: an acquiring module, configured to acquire the acceleration sensor from an acceleration sensor. The determining module is configured to determine, according to the data acquired by the acquiring module from the acceleration sensor, that the wearable smart device is in a resting state, and the duration of the standing state reaches a first preset duration; the control module, And when the determining module determines that the wearable smart device is in a resting state, and the duration of the resting state reaches a first preset duration, controlling the acquiring module to stop acquiring data from the acceleration sensor.

In a possible design, the acquiring module is further configured to acquire data collected by the infrared sensor from an infrared sensor; the determining module is further configured to: before the acquiring module stops acquiring data from the acceleration sensor And determining, according to the data acquired by the acquiring module from the infrared sensor, that the wearable smart device is in an unworn state and is in an unworn state for a second preset duration.

In a possible design, the acquiring module is configured to: acquire N data collected by the infrared sensor from the infrared sensor within a third preset duration, where the N is a positive integer, The third preset duration is smaller than the second preset duration; the determining module is specifically configured to: when determining that one of the following conditions is met, determining that the wearable smart device is in an unworn state:

In a possible design, the determining module is further configured to determine, according to data acquired by the acquiring module from the infrared sensor, that the wearable smart device is in a wearing state; the control module is further configured to be in a control After the obtaining module stops acquiring data from the acceleration sensor, when the determining module determines that the wearable smart device is in a wearing state, controlling the acquiring module to start acquiring data collected by the acceleration sensor from the acceleration sensor. .

In a possible design, the acquiring module, when acquiring the data collected by the infrared sensor from the infrared sensor, is specifically configured to: acquire the infrared sensor from the infrared sensor during the third preset duration N data, the N is a positive integer, the third preset duration is less than the second preset duration; the determining module determines the data based on data acquired by the acquisition module from the infrared sensor Wearable smart device is in the wear When the state is worn, the method is specifically: determining that the wearable smart device is in a wearing state when the N data is greater than a first preset threshold; or determining that at least one of the N data is smaller than Or determining that the wearable smart device is worn when the first preset threshold is equal to the average value of the N data, and the minimum value of the N data is greater than the second preset threshold. a state; the second preset threshold is smaller than the first preset threshold.

In a possible design, the device further includes a receiving module, and the receiving module is configured to receive an interrupt signal sent by the acceleration sensor, where the interrupt signal is determined by the acceleration sensor to be greater than a preset threshold. The control module is further configured to: after controlling the acquiring module to stop acquiring data from the acceleration sensor, when the receiving module receives the interrupt signal, control the acquiring module to start from The acceleration sensor acquires data collected by the acceleration sensor.

In a possible design, the device further includes a receiving module, the receiving module is configured to receive an instruction that is triggered by a user to operate the touch screen, and the control module is further configured to: when controlling the acquiring module, stop from the acceleration After the sensor acquires the data, when the receiving module receives the instruction that the user operates the touch screen trigger, the acquiring module starts to acquire the data collected by the acceleration sensor from the acceleration sensor.

In a possible design, the control module is further configured to turn off the short-range communication function when controlling the acquisition module to stop acquiring data from the acceleration sensor.

In a possible design, the device further includes a receiving module, and the receiving module is configured to receive an interrupt signal sent by the acceleration sensor, where the interrupt signal is determined by the acceleration sensor to be greater than a preset threshold. The control module is further configured to: after the short-distance communication function is turned off, turn on the short-range communication function when the receiving module receives the interrupt signal sent by the acceleration sensor.

In a possible design, the device further includes a receiving module, the receiving module is configured to receive an instruction that is triggered by a user to operate the touch screen, and the control module is further configured to: after the short-distance communication function is turned off, The receiving module starts the short-range communication function when receiving an instruction triggered by the user to operate the touch screen.

In a possible design, the obtaining module is further configured to acquire data collected by the infrared sensor from an infrared sensor; the control module is further configured to: after the short-distance communication function is turned off, in the determining The module determines that the short-range communication function is turned on when the wearable smart device is in a wearing state.

In a possible design, the determining module, when determining that the wearable smart device is in a resting state based on data acquired by the acquiring module from the acceleration sensor, is specifically configured to: determine from the acceleration When the data acquired by the sensor is less than or equal to the fourth preset threshold, determining that the wearable smart device is in a resting state.

In a fifth aspect, the embodiment of the present application further provides a computer storage medium, where the software program stores a software program, where the software program can be implemented by one or more processors and can implement the first aspect or the first Any of the aspects provided by the design.

In a sixth aspect, an embodiment of the present application provides a computer program product comprising instructions, when executed on a computer, causing a computer to perform the method provided by any one of the above first aspect or the first aspect.

DRAWINGS

FIG. 1 is a schematic structural diagram of a wearable smart device according to an embodiment of the present application;

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

FIG. 3 is a flowchart of a method for managing a wearable smart device according to an embodiment of the present application;

4 is a schematic diagram of mode switching of a wearable smart device according to an embodiment of the present disclosure;

FIG. 5 is a flowchart of a mode transition of a wearable smart device according to an embodiment of the present application;

FIG. 6 is a flowchart of another mode transition of a wearable smart device according to an embodiment of the present application;

FIG. 7 is a comparison diagram of power consumption of an MCU according to an embodiment of the present application;

FIG. 8 is a comparison diagram of Bluetooth power consumption according to an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a device for managing a wearable smart device according to an embodiment of the present application.

detailed description

Currently, in the actual use scenario, the wearable smart device spends most of its time in standby mode, while in the standby mode, the power consumption data of each device of the wearable smart device can be as shown in Table 1.

Table 1

器件Device	功耗Power consumption
可穿戴智能设备Wearable smart device	110uA/3.8V110uA/3.8V
微控制器Microcontroller	38.27uA/1.8V38.27uA/1.8V
低功耗蓝牙广播Low-power Bluetooth broadcast	60uA/1.8V60uA/1.8V

As can be seen from Table 1, the power consumption of the wearable smart device in the standby mode, the microcontroller (English: Micro Control Unit, MCU for short) and Bluetooth Low Energy (BLE) It is relatively high, reaching about 50% of the overall power consumption of wearable smart devices. In standby mode, the main power consumption of the MCU is generated by periodically acquiring the acceleration sensor (English: Accelerometer, ACC for short) and the data analysis algorithm based on the data collected by the ACC. The MCU usually periodically acquires data collected by the ACC in a cycle of 100 ms. In standby mode, the main power consumption of BLE is generated by broadcast communication.

Through the collected user behavior, it is found that many users do not wear the wearable smart device when sleeping or not exercising, so that the wearable smart device may remain in the state of being kept, or the wearable smart device is not in the moving state. The wearable smart device is also in a static state. In this case, it is not necessary for the MCU to periodically acquire the data collected by the ACC and run the data analysis algorithm. Therefore, when the wearable smart device is in a static state, running a function of periodically acquiring data collected by the ACC, a data analysis algorithm, and the like may cause unnecessary power consumption.

Based on this, the embodiments of the present application provide a method and a device for managing a wearable smart device, which are used to solve the problem that the wearable smart device in the prior art has a large power consumption when it is in a static state. The method and the device are based on the same inventive concept. Since the principles of the method and the device for solving the problem are similar, the implementation of the device and the method can be referred to each other, and the repeated description is not repeated.

Wearable smart devices in the embodiments of the present application include, but are not limited to, smart bracelets, smart jewelry, smart glasses, and the like.

The solution provided by the embodiment of the present application will be specifically described below with reference to the accompanying drawings.

FIG. 1 is a schematic structural diagram of a wearable smart device according to an embodiment of the present application. The wearable smart device 100 includes a display device 110, a processor 120, and a memory 130. The memory 130 can be used to store software programs and data, and the processor 120 executes various functional applications and data processing of the wearable smart device 100 by running software programs and data stored in the memory 130. The memory 130 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system program, an application required for at least one function (such as periodically acquiring data collected by the ACC, etc.), and the like; the storage data area may be stored. According to the data acquired by the wearable smart device 100 (such as data collected by the ACC, data collected by the infrared sensor, etc.). In addition, the memory 130 can To include high speed random access memory, non-volatile memory can also be included, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. The processor 120 is a control center of the wearable smart device 100 that connects various portions of the entire wearable smart device with various interfaces and lines, and executes wearable intelligence by running or executing software programs and/or data stored in the memory 130. The various functions of the device 100 provide overall monitoring of the wearable smart device. The processor 120 may include one or more general-purpose processors, and may also include one or more digital signal processors (English: Digital Signal Processor, DSP for short), or an MCU, etc., for performing related operations to implement the present invention. Apply the technical solutions provided by the embodiments.

The wearable smart device 100 may further include an input device 140 for receiving input digital information, character information or contact touch/contactless gestures, and generating signal input related to user settings and function control of the smart device 100, and the like. . Specifically, in the embodiment of the present application, the input device 140 may include a touch panel 141. The touch panel 141, also referred to as a touch screen, can collect touch operations on or near the user (such as the user's operation on the touch panel 141 or on the touch panel 141 using any suitable object or accessory such as a finger, a stylus, or the like. ), and drive the corresponding connection device according to a preset program. Optionally, the touch panel 141 may include two parts: a touch detection device and a touch controller. Wherein, the touch detection device detects the touch orientation of the user, and detects a signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts the touch information into contact coordinates, and sends the touch information. The processor 120 is provided and can receive commands from the processor 120 and execute them. For example, the user clicks an icon or a legend for measuring the heart rate on the touch panel 141 with a finger, the touch detection device detects the signal brought by the click, and then transmits the signal to the touch controller, and touches The controller then converts this signal into coordinates and sends it to the processor 120. The processor 120 determines the operation (on) for the icon or legend based on the coordinates and the type of the signal (click or double click), and then determines execution. The memory space required for this operation, if the required memory space is less than the free memory, will start measuring the user's heart rate.

The touch panel 141 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves. In addition to the touch panel 141, the input device 140 may also include other input devices 142, which may include, but are not limited to, one or more of a physical keyboard, function keys (such as control buttons, switch buttons, etc.).

The display device 110 includes a display panel 111 for displaying information input by the user or information provided to the user, various menu interfaces of the wearable smart device 100, and the like. Optionally, the display panel can be configured by using a liquid crystal display (English: Liquid Crystal Display, LCD for short) or an organic light-emitting diode (English: Organic Light-Emitting Diode, OLED for short). In some other embodiments, the touch panel 141 can cover the display panel 111 to form a touch display screen.

In addition to the above, the wearable smart device 100 can also include a power source 150 for powering other modules. The wearable smart device 100 may also include one or more sensors 160, such as an acceleration sensor, an infrared sensor, a GPS sensor, a laser sensor, a temperature sensor, and the like. The wearable smart device 100 may further include a BLE module 170 for performing Bluetooth communication with other devices, and may further include a radio frequency (English: Radio Frequency, RF for short) circuit 180 for performing network communication with the wireless network device. A speaker 190 may be included for playing music, voice prompts, or beeping sounds and the like.

Based on the schematic diagram of the structure of the wearable smart device shown in FIG. 1 , the embodiment of the present application provides a hardware schematic diagram of the wearable smart device, which is specifically shown in FIG. 2 . The display panel in the display device uses an LCD; the processor uses a microcontroller; the memory uses a flash memory (English: Flash Memory, abbreviated as: FLASH); the input device includes a touch panel (TOUCH); and the power module includes an integrated circuit (Charge) IC), battery (battery), low dropout linear regulator (English: low dropout regulator, referred to as: LDO) and boost (BOOST) converter; sensor Infrared (English: Infrared, abbreviated as: IR) sensors are photoelectric volume pulse waves (English: photoplethysmogrphy, referred to as: PPG) and ACC sensors (A SENSOR); wearable smart devices also include near field communication (English: Near Field Communication, Abbreviation: NFC) components and serial peripheral interface (English: Serial Peripheral Interface, SPI for short), built-in integrated circuit (English: Inter-Integrated Circuit, referred to as: I2C) bus, universal asynchronous transceiver transmission (English: Universal Asynchronous Receiver/Transmitter, referred to as: UART) interface.

The management method of the wearable smart device provided by the embodiment of the present application may be implemented in the storage software program shown in FIG. 1 , and may be specifically executed by the processor 120 , where the wearable smart device includes an acceleration sensor.

Before describing the management method of the specific wearable smart device, various nouns involved in the embodiments of the present application are explained.

Motion Health Algorithm: A data analysis algorithm for generating motion data from data acquired from an acceleration sensor, including but not limited to walking steps, walking distance, calories burned, and the like.

Multiple means two or more.

In addition, it should be understood that in the description of the present application, the terms "first", "second" and the like are used only to distinguish the purpose of description, and are not to be understood as indicating or implying relative importance, nor as an indication. Or suggest the order.

FIG. 3 is a flowchart of a method for managing a wearable smart device according to an embodiment of the present disclosure. The method may be specifically:

S301. The wearable smart device acquires data collected by the acceleration sensor from an acceleration sensor.

Optionally, the wearable smart device can periodically acquire data collected by the acceleration sensor from the acceleration sensor. For example, the period is set to 120ms, 100ms, 93ms, and so on. The wearable smart device can acquire data at multiple time points in one cycle, and then process and analyze the data acquired at multiple time points. Of course, the wearable smart device can also save the data after acquiring the data at multiple time points in one cycle, and do nothing else, and then process it when necessary.

In the embodiment of the present application, the acceleration sensor may be three-axis or two-axis. The wearable smart device can obtain data collected by the acceleration sensor on any axis, and can also acquire data collected by the acceleration sensor on two axes or three axes. The embodiment of the present application is not specifically limited herein.

Among them, the three-axis acceleration sensor can collect acceleration data in three coordinate axes perpendicular to each other in space. The two-axis acceleration sensor can acquire acceleration data in two coordinate axes perpendicular to each other on the plane.

Optionally, after the wearable smart device acquires the data collected by the acceleration sensor from the acceleration sensor, the running motion health algorithm generates motion data from the data acquired by the acceleration sensor.

S302, the wearable smart device stops based on the data acquired from the acceleration sensor, if it is determined that the wearable smart device is in a resting state, and the duration of the resting state reaches a first preset duration. The acceleration sensor acquires data.

The wearable smart device may start a timer when determining that the wearable smart device is in a resting state based on data acquired from the acceleration sensor. When the timing of the timer reaches the first preset duration, the wearable smart device determines that the wearable smart device is in the static state for a first preset duration.

The first preset duration may be 20 minutes, 15 minutes, 13.5 minutes, etc., and the embodiments of the present application are not specifically limited herein.

In addition, the wearable smart device may determine that the wearable smart device is in a static state by other means, which is not specifically limited herein.

In the embodiment of the present application, the data collected by the acceleration sensor is acquired by the wearable smart device from the acceleration sensor, and the wearable smart device is determined to be in a resting state based on the data acquired from the acceleration sensor, and is in a resting state. When the duration reaches the first preset duration, the acquisition of data from the acceleration sensor is stopped. Compared with the prior art, when the wearable smart device is in the static state, the various monitoring functions in the system are all turned on. In the embodiment of the present application, when determining that the static state of the wearable smart device continues for a preset duration, Stopping the acquisition of data from the acceleration sensor can avoid unnecessary power consumption, thereby improving the use time of the wearable smart device, thereby improving the user experience.

Specifically, taking the triaxial acceleration sensor as an example, the wearable smart device determines that the wearable smart device is in a resting state based on data acquired from the acceleration sensor, and can be implemented as follows:

The wearable smart device determines that the wearable smart device is in a resting state when it is determined that the sum of the acquired data of the acceleration sensor respectively collected in the three coordinate axes is less than or equal to a first preset threshold.

The first preset threshold may be equal to the gravitational acceleration g, and may be equal to 0.9 g, and may be equal to other values. The embodiment of the present application is not specifically limited herein.

In the embodiment of the present application, the triggering time for the wearable smart device to stop acquiring data from the acceleration sensor is determined by determining, according to the data acquired from the acceleration sensor, that the wearable smart device is in a resting state and is in a resting state. In addition to the first preset duration, it may also include:

The wearable smart device determines, based on data acquired from the acceleration sensor, that the wearable smart device is in a resting state and is in a resting state for a first preset duration, and based on the acquired from the infrared sensor The data determines that the wearable smart device is in an unworn state and is in an unworn state for a second preset duration.

The wearable smart device may start a timer when determining that the wearable smart device is in an unworn state based on data acquired from the infrared sensor. When the timing of the timer reaches the second preset duration, the wearable smart device determines that the wearable smart device is in the unworn state for a second preset duration.

The second preset duration may be 21 minutes, 15 minutes, 13.5 minutes, and the like. The second preset duration may be equal to the first preset duration or may be different from the first preset duration. The embodiment of the present application does not Make specific limits.

In a possible implementation manner, the wearable smart device may determine, according to data acquired from the infrared sensor, whether the wearable smart device is in an unworn state, and specifically, may be within a third preset time period. Obtaining N data collected by the infrared sensor from the infrared sensor to determine whether the wearable smart device is in an unworn state, the N is a positive integer, and the third preset duration is less than the second preset duration .

Optionally, the wearable smart device may periodically acquire data collected by the infrared sensor from the infrared sensor, for example, the acquisition period may be set to 5 minutes, 3 minutes, and the like. The third preset duration may be equal to an acquisition period of the wearable smart device (a period in which the wearable smart device acquires data from the infrared sensor), and the third preset duration may also be an acquisition of the wearable smart device. M times the period.

The infrared sensor can collect data periodically, for example, the collection period can be set to 1 ms, 5 ms, 10 ms, and the like. The wearable smart device can periodically acquire data collected by the infrared sensor from the infrared sensor. If the third preset duration is equal to the acquisition period, and the acquisition period is N times of the collection period, the wearable smart device acquires the N data collected by the infrared sensor in one cycle. If the third preset duration is equal to M acquisition periods, and the acquisition period is n times of the collection period, the wearable smart device acquires the n*M collected by the infrared sensor within the third preset duration (n*M=N ) data.

In a possible implementation manner, the wearable smart device is inspected from the infrared ray within a third preset duration When the plurality of data collected by the infrared sensor are acquired, the wearable smart device may determine whether the wearable smart device is not worn by:

Wherein, when the third preset duration is equal to the acquisition period, and the acquisition period is N times of the collection period, the quantity of the plurality of data is N; when the third preset duration is equal to M acquisition periods, and the acquisition period is collection At n times the period, the number of the plurality of data is n*M.

A1. The wearable smart device determines whether the multiple data is greater than a second preset threshold. If yes, execute A4; if not, execute A2.

A2. The wearable smart device determines an average of the plurality of data and a minimum of the plurality of data. Execute A3.

A3. The wearable smart device determines whether the average value is within a preset range, and the minimum value is greater than a third preset threshold. If yes, execute A4; if no, execute A5.

A4. The wearable smart device determines that the wearable smart device is in a worn state.

A5. The wearable smart device determines that the wearable smart device is in an unworn state.

Optionally, the wearable smart device may further determine that the wearable smart device is in an unworn state. For example, if the wearable smart device is a smart wristband, a smart watch, or the like, the wearable smart device may also detect wearable. The wearable smart device is determined to be in an unworn state when the strap of the smart device is not in the buckled state; for example, the wearable smart device can also detect the temperature parameter of the wearable smart device by detecting a temperature sensor disposed on the wearable smart device, Or determining that the wearable smart device is in an unworn state by detecting a bioelectric signal sensor disposed on the wearable smart device, or detecting the human body pulse parameter or the like, wherein the bioelectric signal is used to characterize the wearable smart device Whether it is in contact with the human body, etc.

In a possible implementation manner, the wearable smart device may also stop acquiring data from the acceleration sensor and turn off the short-range communication function when determining that the wearable smart device is in the rest state for a first preset duration. Alternatively, the wearable smart device may also only turn off the short-range communication function when it is determined that the wearable smart device is in the rest state for the first preset duration.

Among them, short-distance communication functions include, but are not limited to, Bluetooth communication, Near Field Communication (NFC), ZigBee communication, infrared communication, and wireless fidelity (English: Wireless Fidelity, referred to as WiFi) ) Communication, etc.

The wearable smart device can also close other functions when it is determined that the length of the wearable smart device is in the first state. The embodiments of the present application are not listed here.

In a possible implementation manner, after the wearable smart device stops acquiring data from the acceleration sensor, when determining that the wearable smart device is in a non-rest state, the wearable smart device starts to acquire data collected by the acceleration sensor from the acceleration sensor.

Specifically, the wearable smart device determines that the wearable smart device is in a non-rest state, and may be, but is not limited to, implemented in any one of the following manners:

The first:

The wearable smart device receives an interrupt signal sent by the acceleration sensor, and the interrupt signal is sent by the acceleration sensor when it is determined that data greater than a fourth preset threshold is collected.

In the embodiment of the present application, after the wearable smart device stops acquiring data from the acceleration sensor, the acceleration sensor may be set to a wake-up state, so that in the awake state, the acceleration sensor determines that the collected data is greater than the fourth pre- When the threshold is set, an interrupt signal is sent to the processor in the wearable smart device. Among them, acceleration The degree sensor can be three-axis or two-axis. The acceleration sensor determines to collect data larger than the fourth preset threshold when determining that the data collected by any of the axes is greater than the fourth preset threshold; or the acceleration sensor determines the data collected by the two axes or the three axes. When the value is greater than the fourth preset threshold, the acceleration sensor may determine that the acceleration sensor collects data that is greater than the fourth preset threshold. The embodiment of the present application does not Make specific limits.

Second:

The wearable smart device acquires data collected by the infrared sensor from an infrared sensor, and determines that the wearable smart device is in a wearing state based on data acquired from the infrared sensor.

The third type:

The wearable smart device determines that the wearable smart device is in a non-rest state when receiving an instruction triggered by the user to operate the touch screen.

In addition, the wearable smart device may further determine that the wearable smart device is in a wearing state by detecting a temperature parameter of the wearable smart device detected by the temperature sensor disposed on the wearable smart device; or by detecting bioelectricity disposed on the wearable smart device The signal sensor detects the bioelectric signal to determine that the wearable smart device is in a wearing state, wherein the bioelectric signal is used to indicate whether the wearable smart device is in contact with the human body; or the wearable smart device is determined to be in a wearing state by detecting the human body pulse parameter, or The wearable smart device is determined to be in a non-rest state by other means, and the embodiment of the present application is not specifically limited herein.

Optionally, the wearable smart device can also enable the short-range communication function when the wearable smart device is in a non-rest state after the short-distance communication function is turned off.

The wearable smart device can also turn on the turned off function when it is determined that the wearable smart device is not in the idle state after turning off other functions.

In a possible implementation manner, when the wearable smart device determines whether the duration of the wearable smart device in the rest state reaches the first preset duration by starting the timer, when the wearable smart device determines the wearable smart device When not in the rest state, the timer is turned off and the timer is cleared.

For convenience of subsequent description, the wearable smart device acquires data collected by the acceleration sensor from the acceleration sensor, and generates a motion data based on the data obtained from the acceleration sensor to generate motion data, and the mode in which the short-range communication function is turned on is called standby. mode. The mode in which the wearable smart device stops acquiring the acceleration sensor from the acceleration sensor and sets the acceleration sensor to the awake state, and the short-range communication function is turned off is called the ultra-low power mode.

For details, refer to FIG. 4 , which is a schematic diagram of a process in which a wearable smart device enters an ultra-low power mode from a standby mode and enters a standby mode by an ultra low power mode according to an embodiment of the present application.

In the embodiment of the present application, when the wearable smart device is in the static state, the standby mode enters the ultra-low power consumption mode to avoid unnecessary power consumption, thereby improving the use time of the wearable smart device, thereby improving the user experience. . Moreover, when the wearable smart device enters the standby mode from the ultra-low power mode when in the non-resting state, the function that the wearable smart device is turned off can be started in time, thereby ensuring a good user experience.

In order to better understand the embodiments of the present application, the following is a combination of specific application scenarios, the short-distance communication function is Bluetooth communication, the processor is an MCU, and the triggering time of the wearable smart device to stop acquiring data from the acceleration sensor is: the wearable smart The device determines that the wearable smart device is in a resting state based on data acquired from the acceleration sensor, and the duration of the resting state reaches a first preset duration, and determining the based on data acquired from the infrared sensor When the wearable smart device is in an unworn state and is in an unworn state, the second preset is reached. Long, wherein the first preset duration is equal to the second preset duration of 15 minutes, for example, the process of entering the ultra-low power mode from the standby mode by the wearable smart device, and the ultra-low power consumption of the wearable smart device The process of entering the standby mode is described in detail.

The wearable smart device can create three threads, namely Design Management (English: Devise Management, DM) Thread, execute thread and interrupt thread to execute the wearable smart device from standby mode into ultra low power mode. The process, as well as the process by which the wearable smart device enters standby mode from ultra low power mode. The DM Task and the execution thread may be used to execute a process in which the wearable smart device enters the ultra low power mode from the standby mode; the execution thread and the interrupt thread may be used to execute the wearable smart device entering the standby mode from the ultra low power mode. process.

For details, refer to FIG. 5, which is a process for the wearable smart device to enter the ultra-low power mode from the standby mode, and the method may specifically include:

S501. The DM Task determines a current state of the wearable smart device, and executes S502.

The state of the wearable smart device includes a static state, an unworn state, and a non-rest state.

S502: The DM Task determines whether the duration of the wearable smart device being in the rest state and the unworn state is more than 15 minutes; if yes, executing step S503; if not, executing step S501.

S503. The DM Task sends a first instruction to the execution thread, and executes S504. The first instruction is used to perform a transition from a standby mode to an ultra low power mode.

S504. The execution thread receives the first instruction sent by the DM Task, and executes S505.

S505. The executing thread closes the function of periodically acquiring data collected by the ACC, and executes S506.

S506. The execution thread sets the ACC to the awake state, and executes S507.

S507, the execution thread turns off the Bluetooth communication function.

For details, refer to FIG. 6 , which is a process of the wearable smart device entering the standby mode from the ultra low power mode, where the method specifically includes:

S601. The interrupt thread determines that the wearable smart device is in a non-rest state, and executes S602.

S602. The interrupt thread determines whether the wearable smart device is in the ultra-low power consumption mode; if yes, step S603 is performed; if no, step S608 is performed.

S603. The interrupt thread sends a second instruction to the execution thread, and executes S604. The second instruction is used to perform conversion from an ultra low power mode to a standby mode.

S604. The execution thread receives the second instruction sent by the interrupt thread, and executes S605.

S605. Execute the thread control ACC to exit the awake state, and execute S606.

S606. The execution thread starts to periodically acquire data collected by the ACC from the ACC, and executes S607.

S607. The execution thread starts the Bluetooth communication function.

S608. End the process of the wearable smart device entering the standby mode from the ultra low power mode.

In the embodiment of the present application, the data collected by the acceleration sensor is acquired by the wearable smart device from the acceleration sensor, and the wearable smart device is determined to be in a resting state based on the data acquired from the acceleration sensor, and is in a resting state. When the duration reaches the first preset duration, the acquisition of data from the acceleration sensor is stopped. Compared with the prior art, when the wearable smart device is in the static state, the various monitoring functions are all turned on. In the embodiment of the present application, when the static state of the wearable smart device is determined to last for a preset duration, the method stops. Obtaining data from the acceleration sensor and turning off unnecessary functions such as short-distance communication can avoid unnecessary power consumption, thereby The use time of high wearable smart devices can enhance the user experience. Moreover, the wearable smart device enables the closed function when determining that the wearable smart device is in the wearing state, which helps to ensure a good user experience.

Take a smart wristband as an example. See Figure 7 for the status of the data and data analysis algorithms that the MCU is running periodically to acquire ACC, and the status of the data and data analysis algorithms that are not running the cyclic acquisition ACC. Comparison of power consumption in two states. The MCU is in a state in which the data and data analysis algorithms of the ACC acquisition are periodically acquired during the period from X1 to X2. At this time, the power consumption of the MCU is 38.27 uA/1.8V. During the period from X3 to X4, the MCU is in a state in which the data and data analysis algorithms of the ACC acquisition are not continuously acquired. At this time, the power consumption of the MCU is 7.95 uA/1.8V.

Referring to FIG. 8, the comparison result of power consumption in two states is a state in which Bluetooth is in a state where low-power broadcast communication is turned on, and a state in which low-power broadcast communication is off. Among them, during the time period from Y1 to Y2, Bluetooth is in a state of low-power broadcast communication, and the power consumption of Bluetooth is 60uA/1.8V. During the period from Y3 to Y4, Bluetooth is in a state of low-power broadcast communication, and the power consumption of Bluetooth is 5uA/1.8V.

It can be seen from the data in FIG. 7 and FIG. 8 that when the smart bracelet stops periodically acquiring data collected by the ACC, stops running the data analysis algorithm, and turns off the Bluetooth communication, the power consumption is reduced by about 85 uA/1.8 V, wherein The power consumption of the MCU is reduced by approximately 38.27uA/1.8V-7.95uA/1.8V≈30uA/1.8V, and the BLE power consumption is reduced by approximately 60uA/1.8V-5uA/1.8V≈55uA/1.8V. When the smart bracelet is powered by a battery, the battery voltage is 3.8V, and the power consumption is reduced by about 51uA/3.8V.

As shown in Table 2, when the smart bracelet is in the resting state, the overall power consumption of the smart bracelet is 110uA/3.8V in the standby mode, and in the ultra-low power mode, the overall power consumption of the smart bracelet is 60uA/3.8V, the power consumption is reduced by 46%, which greatly improves the power consumption of the smart bracelet when it is still.

Table 2

Based on the same inventive concept as the method embodiment, the embodiment of the present invention provides a management device 90 for a wearable smart device, which is specifically used to implement the method described in the embodiments described in FIG. 1 to FIG. 9 shows an acquisition module 91, a determination module 92, and a control module 93, wherein:

An obtaining module 91, configured to acquire data collected by the acceleration sensor from an acceleration sensor;

The determining module 92 is configured to determine, according to the data acquired by the obtaining module 91 from the acceleration sensor, that the wearable smart device is in a resting state, and the duration in the resting state reaches a first preset duration;

The control module 93 is configured to control the acquiring module 91 to stop from the acceleration when the determining module 92 determines that the wearable smart device is in a resting state and the duration of the resting state reaches a first preset duration The sensor gets the data.

Optionally, the acquiring module 91 is further configured to acquire data collected by the infrared sensor from an infrared sensor;

The determining module 92 is further configured to be based on the acquiring mode before stopping acquiring data from the acceleration sensor The block 91 determines, from the data acquired by the infrared sensor, that the wearable smart device is in an unworn state and is in an unworn state for a second preset duration.

Optionally, the acquiring module 91 is configured to: when acquiring the data collected by the infrared sensor from the infrared sensor, acquire the N collected by the infrared sensor from the infrared sensor within a third preset duration Data, the N is a positive integer, and the third preset duration is less than the second preset duration;

The determining module 92 is configured to: when the wearable smart device is in an unworn state based on the data acquired by the acquiring module 91 from the infrared sensor, specifically:

When it is determined that one of the following conditions is met, it is determined that the wearable smart device is in an unworn state:

In a possible implementation, the determining module 92 is further configured to determine, according to the data acquired by the acquiring module 91 from the infrared sensor, that the wearable smart device is in a wearing state;

The control module 93 is further configured to control the acquiring module 91 when the determining module 92 determines that the wearable smart device is in a wearing state after controlling the acquiring module 91 to stop acquiring data from the acceleration sensor. Starting to acquire data collected by the acceleration sensor from the acceleration sensor.

Optionally, the acquiring module 91 is configured to: when acquiring data collected by the infrared sensor from an infrared sensor, specifically:

Acquiring N data collected by the infrared sensor from the infrared sensor, the N is a positive integer, and the third preset duration is less than the second preset duration;

The determining module 92 is configured to: when the wearable smart device is in a wearing state, based on the data acquired by the acquiring module 91 from the infrared sensor, specifically:

Determining, when the N data is greater than the first preset threshold, determining that the wearable smart device is in a wearing state; or determining that at least one of the N data is less than or equal to the first preset Determining that the wearable smart device is in a wearing state when the threshold and the average of the N data are in a preset range, and the minimum value of the N data is greater than the second preset threshold; the second preset The threshold is less than the first predetermined threshold.

In a possible implementation, the device further includes a receiving module 94;

The receiving module 94 is configured to receive an interrupt signal sent by the acceleration sensor, where the interrupt signal is sent when the acceleration sensor determines that data greater than a preset threshold is collected;

The control module 93 is further configured to, after controlling the acquiring module 91 to stop acquiring data from the acceleration sensor, when the receiving module 94 receives the interrupt signal, control the acquiring module 91 to start from the The acceleration sensor acquires data acquired by the acceleration sensor.

In another possible implementation, the device further includes a receiving module 94;

The receiving module 94 is configured to receive an instruction that is triggered by a user to operate the touch screen;

The control module 93 is further configured to control the acquiring module 91 to start from the receiving module 94 after receiving the instruction that the user operates the touch screen trigger after the acquiring module 91 stops acquiring data from the acceleration sensor. The acceleration sensor acquires data collected by the acceleration sensor.

Optionally, the control module 93 is further configured to: when the acquiring module 91 stops controlling to acquire data from the acceleration sensor, turn off the short-range communication function.

The control module 93 is further configured to: after the short-distance communication function is turned off, turn on the short-range communication function when the receiving module 94 receives the interrupt signal sent by the acceleration sensor.

In another possible design, the device further includes a receiving module 94;

The control module 93 is further configured to: after the short-distance communication function is turned off, when the receiving module 94 receives an instruction that the user operates the touch screen trigger, the short-range communication function is turned on.

In another possible implementation, the acquiring module 91 is further configured to acquire data collected by the infrared sensor from an infrared sensor;

The control module 93 is further configured to: after the short-distance communication function is turned off, turn on the short-range communication function when the determining module 92 determines that the wearable smart device is in a wearing state.

Optionally, the determining module 92 is configured to: when determining that the wearable smart device is in a resting state, based on the data acquired by the acquiring module 91 from the acceleration sensor, specifically: determining to obtain from the acceleration sensor When the data is less than or equal to the fourth preset threshold, it is determined that the wearable smart device is in a resting state.

The division of the modules in the embodiment of the present application is schematic, and is only a logical function division. In actual implementation, there may be another division manner. In addition, each functional module in each embodiment of the present application may be integrated into one processing. In the device, it can also be physically existed alone, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

When implemented in hardware, the hardware implementation of the management device of the wearable smart device can refer to FIG. 1 and its related description.

The acceleration sensor is used to collect data.

The processor 120 is configured to acquire data collected by the acceleration sensor from the acceleration sensor, and determine, according to data acquired from the acceleration sensor, that the wearable smart device is in a resting state, and is in a resting state. When the duration reaches the first preset duration, the acquisition of data from the acceleration sensor is stopped.

In a possible implementation, the device further includes an infrared sensor.

The infrared sensor is used to collect data.

The processor 120 is further configured to: acquire data collected by the infrared sensor from the infrared sensor; and determine the wearable based on data acquired from the infrared sensor before stopping acquiring data from the acceleration sensor The smart device is in an unworn state and is in an unworn state for a second preset duration.

Optionally, the processor 120 is configured to: acquire N data collected by the infrared sensor from the infrared sensor within a third preset duration, where the N is a positive integer, and the third pre- The duration is less than the second preset duration; when it is determined that one of the following conditions is determined, determining that the wearable smart device is in an unworn state:

Condition 3: at least one of the N data is less than or equal to a first preset threshold, and the N data are both The value is not within the preset range, and a minimum of the N data is less than the second preset threshold.

Optionally, the processor 120 is further configured to, after determining to acquire data from the acceleration sensor, start determining, according to the data acquired from the infrared sensor, that the wearable smart device is in a wearing state, start from the The acceleration sensor acquires data acquired by the acceleration sensor.

Optionally, the processor 120 is configured to: acquire N data collected by the infrared sensor from the infrared sensor within a third preset duration, where the N is a positive integer, and the third pre- Setting the duration to be less than the second preset duration; determining that the wearable smart device is in a wearing state when the N data is greater than the first preset threshold; or determining at least the N data Determining the wearable smart when a data is less than or equal to the first preset threshold, the mean value of the N data is within a preset range, and a minimum value of the N data is greater than a second preset threshold The device is in a wearing state; the second preset threshold is smaller than the first preset threshold.

In a possible implementation, the acceleration sensor is further configured to: after the processor 120 stops acquiring data collected by the acceleration sensor from the acceleration sensor, determine that data that is greater than a preset threshold is collected The processor 120 sends an interrupt signal;

The processor 120 is further configured to: after receiving the interrupt signal sent by the acceleration sensor after stopping acquiring data from the acceleration sensor, start acquiring data collected by the acceleration sensor from the acceleration sensor.

In a possible implementation, the device further includes a touch screen. The touch screen may be the touch panel 141.

The touch screen is configured to receive an instruction triggered by a user by operating the touch screen;

The processor 120 is further configured to start acquiring data collected by the acceleration sensor from the acceleration sensor when receiving an instruction that the user operates the touch screen trigger.

Optionally, the device further includes a short-range communication module;

The short-range communication module may be, but is not limited to, the BLE module 170, the RF circuit 180, and the like.

The short-range communication module is configured to implement a short-distance communication function;

The processor 120 is further configured to close the short-range communication module when stopping acquiring data from the acceleration sensor.

Optionally, the acceleration sensor is further configured to: after the processor 120 stops acquiring data collected by the acceleration sensor from the acceleration sensor, determining to collect data greater than a preset threshold, to the processor 120 Send an interrupt signal;

The processor 120 is further configured to: after receiving the short-distance communication module, if the interrupt signal sent by the acceleration sensor is received, the short-range communication module is turned on.

In a possible implementation manner, the device further includes a touch screen;

The processor 120 is further configured to: after receiving the short-distance communication module, open the short-range communication module if receiving a command triggered by the user to operate the touch screen.

Optionally, the device further includes an infrared sensor;

The processor 120 is further configured to acquire data collected by the infrared sensor from the infrared sensor; and determine the wearable smart based on data acquired from the infrared sensor after the short-range communication module is turned off When the device is in the wearing state, the short-range communication module is turned on.

Optionally, the processor 120 determines the wearable wisdom based on data acquired from the acceleration sensor When the device is in a static state, it is specifically used to:

When it is determined that the data acquired from the acceleration sensor is less than or equal to a fourth preset threshold, determining that the wearable smart device is in a resting state.

In the embodiment of the present application, the data collected by the acceleration sensor is acquired by the wearable smart device from the acceleration sensor, and the wearable smart device is determined to be in a resting state based on the data acquired from the acceleration sensor, and is in a resting state. When the duration reaches the first preset duration, the acquisition of data from the acceleration sensor is stopped. Compared with the prior art, when the wearable smart device is in the static state, the various monitoring functions are all turned on. In the embodiment of the present application, when the static state of the wearable smart device is determined to last for a preset duration, the method stops. Obtaining data from the acceleration sensor and turning off unnecessary functions such as short-distance communication can avoid unnecessary power consumption, thereby improving the use time of the wearable smart device, thereby improving the user experience. Moreover, the wearable smart device enables the closed function when determining that the wearable smart device is in the wearing state, which helps to ensure a good user experience.

Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

It is apparent that those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the embodiments of the present application. Thus, it is intended that the present invention cover the modifications and variations of the embodiments of the present invention.

Claims

A method for managing a wearable smart device, comprising:

The wearable smart device acquires data collected by the acceleration sensor from an acceleration sensor;

The wearable smart device determines that the wearable smart device is in a resting state based on data acquired from the acceleration sensor, and stops acquiring data from the acceleration sensor when a duration of the rest state reaches a first preset duration .
The method of claim 1, wherein before the wearable smart device stops acquiring data from the acceleration sensor, the method further comprises:

The wearable smart device acquires data collected by the infrared sensor from an infrared sensor;

The wearable smart device determines, based on data acquired from the infrared sensor, that the wearable smart device is in an unworn state and is in an unworn state for a second preset duration.
The method of claim 2, wherein the wearable smart device acquires data collected by the infrared sensor from an infrared sensor, including:

The wearable smart device acquires N data collected by the infrared sensor from the infrared sensor for a third preset duration, where N is a positive integer, and the third preset duration is less than the second preset Set a time;

Determining, by the wearable smart device, that the wearable smart device is in an unworn state based on data acquired from the infrared sensor comprises:

When the wearable device determines that one of the following conditions is met, determining that the wearable smart device is in an unworn state:

At least one of the N data is less than or equal to a first preset threshold, and an average of the N data is not within a preset range; or

At least one of the N data is less than or equal to a first preset threshold, and a minimum value of the N data is smaller than a second preset threshold, where the second preset threshold is smaller than the first preset threshold. ;or,

At least one of the N data is less than or equal to a first preset threshold, an average of the N data is not within the preset range, and a minimum value of the N data is smaller than the second pre Set the threshold.
The method of claim 2 or 3, wherein the method further comprises:

The wearable smart device starts acquiring the acceleration sensor from the acceleration sensor after stopping the acquisition of data from the acceleration sensor and determining that the wearable smart device is in a wearing state based on data acquired from the infrared sensor Data collected.
The method of claim 4, wherein the wearable smart device acquires data collected by the infrared sensor from an infrared sensor, including:

The wearable smart device acquires N data collected by the infrared sensor from the infrared sensor for a third preset duration, where N is a positive integer, and the third preset duration is less than the second preset Set a time;

Determining, by the wearable smart device, that the wearable smart device is in a wearing state based on data acquired from the infrared sensor, including:

Determining, by the wearable smart device, that the wearable smart device is in a wearing state when the N data is greater than a first preset threshold;

or,

The wearable smart device determines that at least one of the N data is less than or equal to the first preset threshold Determining that the wearable smart device is in a wearing state when the value of the N data is within a preset range, and the minimum value of the N data is greater than the second preset threshold; the second preset The threshold is less than the first predetermined threshold.
The method according to any one of claims 1 to 3, wherein after the wearable smart device stops acquiring data from the acceleration sensor, the method further comprises:

The wearable smart device starts to acquire data collected by the acceleration sensor from the acceleration sensor when receiving the interrupt signal sent by the acceleration sensor, where the interrupt signal is determined to be greater than the third After the preset threshold data is sent;

or,

The wearable smart device starts acquiring data collected by the acceleration sensor from the acceleration sensor upon receiving an instruction triggered by the user to operate the touch screen.
The method of claim 1 wherein the method further comprises:

The wearable smart device turns off the short-range communication function when stopping acquiring data from the acceleration sensor.
The method according to claim 7, wherein after the wearable smart device turns off the short-range communication function, the method further includes:

The wearable smart device starts the short-range communication function when receiving an interrupt signal sent by the acceleration sensor, and the interrupt signal is sent by the acceleration sensor when determining that data greater than a third preset threshold is collected. of;

or,

The wearable smart device turns on the short-range communication function upon receiving an instruction triggered by the user to operate the touch screen.
The method of claim 7 wherein the method further comprises:

The wearable smart device acquires data collected by the infrared sensor from an infrared sensor;

After the short-distance communication function is turned off, the wearable smart device starts the short-range communication function when determining that the wearable smart device is in a wearing state based on data acquired from the infrared sensor.
The method according to any one of claims 1 to 9, wherein the wearable smart device determines that the wearable smart device is in a resting state based on data acquired from the acceleration sensor, including:

The wearable smart device determines that the wearable smart device is in a resting state when it is determined that the data acquired from the acceleration sensor is less than or equal to a fourth preset threshold.
A management device for a wearable smart device, wherein the device is applied to a wearable smart device, the device comprising:

Acceleration sensor and processor;

The acceleration sensor is configured to collect data;

The processor is configured to acquire data collected by the acceleration sensor from the acceleration sensor; and determine, according to data acquired from the acceleration sensor, that the wearable smart device is in a resting state and is in a static state When the first preset duration is reached, the acquisition of data from the acceleration sensor is stopped.
The device of claim 11 wherein said device further comprises an infrared sensor;

The infrared sensor is configured to collect data;

The processor is further configured to acquire data collected by the infrared sensor from the infrared sensor; and determine the wearable smart device based on data acquired from the infrared sensor before stopping acquiring data from the acceleration sensor The length of time in the unworn state and in the unworn state reaches the second preset duration.
The device according to claim 12, wherein the processor is specifically configured to:

Acquiring N data collected by the infrared sensor from the infrared sensor, the N is a positive integer, and the third preset duration is less than the second preset duration;

When it is determined that one of the following conditions is met, it is determined that the wearable smart device is in an unworn state:

At least one of the N data is less than or equal to a first preset threshold, and an average of the N data is not within a preset range; or

At least one of the N data is less than or equal to a first preset threshold, and a minimum value of the N data is smaller than a second preset threshold, where the second preset threshold is smaller than the first preset threshold. ;or,

At least one of the N data is less than or equal to a first preset threshold, an average of the N data is not within the preset range, and a minimum value of the N data is smaller than the second pre Set the threshold.
The device according to claim 12 or 13, wherein the processor is further configured to determine the wearable intelligence based on data acquired from the infrared sensor after stopping acquiring data from the acceleration sensor When the device is in the wearing state, the data collected by the acceleration sensor is acquired from the acceleration sensor.
The device according to claim 14, wherein the processor is specifically configured to:

Acquiring N data collected by the infrared sensor from the infrared sensor, the N is a positive integer, and the third preset duration is less than the second preset duration;

Determining, when the N data is greater than the first preset threshold, determining that the wearable smart device is in a wearing state;

or,

Determining that at least one of the N data is less than or equal to the first preset threshold, and an average of the N data is within a preset range, and a minimum value of the N data is greater than a second preset And determining, by the threshold, that the wearable smart device is in a wearing state; and the second preset threshold is smaller than the first preset threshold.
The device according to any one of claims 11 to 13, wherein the acceleration sensor is further configured to determine, after the processor stops acquiring data collected by the acceleration sensor from the acceleration sensor, Sending an interrupt signal to the processor when the data is greater than a preset threshold;

The processor is further configured to: after receiving the interrupt signal sent by the acceleration sensor after stopping acquiring data from the acceleration sensor, start acquiring data collected by the acceleration sensor from the acceleration sensor.
The device according to any one of claims 11 to 13, wherein the device further comprises a touch screen;

The touch screen is configured to receive an instruction triggered by a user by operating the touch screen;

The processor is further configured to start acquiring data collected by the acceleration sensor from the acceleration sensor when receiving an instruction that the user operates the touch screen trigger.
The device of claim 11 wherein said device further comprises a short range communication module;

The short-range communication module is configured to implement a short-distance communication function;

The processor is further configured to close the short-range communication module when stopping acquiring data from the acceleration sensor.
The device according to claim 18, wherein the acceleration sensor is further configured to: after the processor stops acquiring data collected by the acceleration sensor from the acceleration sensor, determine to collect a threshold greater than a preset threshold. Sending an interrupt signal to the processor when the data is;

The processor is further configured to: after receiving the short-distance communication module, if the interrupt signal sent by the acceleration sensor is received, the short-range communication module is turned on.
The device of claim 18, wherein said device further comprises a touch screen;

The touch screen is configured to receive an instruction triggered by a user by operating the touch screen;

The processor is further configured to: after receiving the short-distance communication module, if the user receives an instruction to trigger the touch screen, the short-range communication module is turned on.
The device of claim 18, wherein said device further comprises an infrared sensor;

The infrared sensor is configured to collect data;

The processor is further configured to acquire data collected by the infrared sensor from the infrared sensor; and after the short-range communication module is turned off, determine the wearable smart device based on data acquired from the infrared sensor When in the wearing state, the short-range communication module is turned on.
The device according to any one of claims 11 to 21, wherein the processor is configured to: when determining that the wearable smart device is in a resting state based on data acquired from the acceleration sensor, specifically:

When it is determined that the data acquired from the acceleration sensor is less than or equal to a fourth preset threshold, determining that the wearable smart device is in a resting state.
A computer storage medium, characterized in that the computer readable storage medium stores computer executable instructions for causing the computer to perform the method of any one of claims 1 to 10.