Control method and device of mobile equipment and electronic equipment

Abstract

The invention discloses a control method and device of mobile equipment and electronic equipment, and relates to the technical field of vehicles, and the method comprises the steps: determining the state of a user based on first physiological feature data of the user; and when the state of the user is the first target state, generating a first control instruction to control the mobile device to decelerate. Compared with the prior art, the driving state of the user can be judged according to the first physiological feature data in the process that the user drives the mobile equipment, whether the user is in the target state or not is analyzed according to the driving state, and then the situation that the user is about to face can be intervened in advance, such as deceleration processing; therefore, the driving safety of the driver is guaranteed to a greater extent, the driving accident is prevented or the injury caused by the driving accident is reduced to the minimum, in addition, the psychological burden of the user during driving can be relieved to a certain extent, the driving confidence of the user is enhanced, and the safety of the user is better guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a control method and device of a movable device and an electronic device. BACKGROUND

[0002] The old generation of walking tools is designed for the elderly, and is a convenient transportation tool for short trips. It can meet the needs of the elderly who have difficulty moving, and provide a simple, safe and easy-to-operate walking tool.

[0003] At present, the basic safety hardware such as anti-tilt wheels, anti-collision rods and anti-slippery slopes is configured in the walking tool to control the walking tool to ensure the driving safety of the user in the environment where the abnormality may occur. However, since the reaction ability of the driving user group driving the old generation of walking tools declines, if an obstacle is encountered during the use of the walking tool, the vehicle will accelerate due to the tightening of the accelerator handle caused by tension, thereby affecting the safety of driving. SUMMARY

[0004] Therefore, the present application provides a control method and device of a movable device and an electronic device, which mainly aims to improve the technical problem that the reaction ability of the driving user group driving the old generation of walking tools declines, and if an obstacle is encountered during the use of the walking tool, the vehicle will accelerate due to the tightening of the accelerator handle caused by tension, thereby affecting the safety of driving.

[0005] In a first aspect, the present application provides a control method of a movable device, comprising:

[0006] determining the state of the user based on the first physiological feature data of the user;

[0007] generating a first control instruction to control the movable device to decelerate when the state of the user is a first target state.

[0008] In a second aspect, the present application provides a control device of a movable device, comprising:

[0009] a determination module configured to determine the state of the user based on the first physiological feature data of the user;

[0010] a generation module configured to generate a first control instruction to control the movable device to decelerate when the state of the user is a first target state.

[0011] In a third aspect, the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the control method of the movable device according to the first aspect.

[0012] In a fourth aspect, the present application provides an electronic device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the control method for the movable device described in the first aspect when executing the computer program.

[0013] By means of the above technical solution, the present application provides a control method, device and electronic device for a movable device. Compared with the current existing technology, the present application determines the user's status based on the user's first physiological characteristic data; when the user's status is the first target state, a first control instruction is generated to control the movable device to decelerate, so that the present application can judge the user's driving status through the first physiological characteristic data during the user driving the movable device, and analyze whether the user is in the target state through the driving status, and then intervene in the situation that the user is about to face in advance, such as performing deceleration processing, thereby ensuring the driving safety of the driving user to a greater extent, preventing driving accidents or minimizing the damage caused by driving accidents. In addition, the present application can also reduce the user's psychological burden when driving to a certain extent, enhance the user's driving confidence, and better ensure the user's safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0016] Figure 1 A schematic diagram of a flow chart of a control method for a mobile device provided in an embodiment of the present application is shown;

[0017] Figure 2 A schematic diagram of a flow chart of a control method for a mobile device provided in an embodiment of the present application is shown;

[0018] Figure 3 A schematic diagram showing an example provided by an embodiment of the present application is shown;

[0019] Figure 4 A schematic diagram showing an example provided by an embodiment of the present application is shown;

[0020] Figure 5 A schematic structural diagram of a control device for a mobile device provided in an embodiment of the present application is shown;

[0021] Figure 6 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0022] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0023] In order to improve the existing technical problem that due to the decline in the reaction ability of the elderly users who drive mobility devices, if they encounter obstacles during the use of the mobility devices, they will tighten the accelerator handle due to nervousness, causing the vehicle to accelerate, thereby affecting the driving safety. This embodiment provides a control method for a mobile device, such as Figure 1 As shown, the method includes:

[0024] Step 101: Determine the user's status based on the user's first physiological characteristic data.

[0025] In the embodiment of the present application, the user may be a user driving a movable device, a user operating a touch-sensitive device, a user riding in a movable device, etc. The specific type of user is not limited here.

[0026] In some examples, physiological characteristic data may be various measurements or records obtained from the human body about its structure, function, and behavior; illustratively, the physiological characteristic data in the embodiments of the present application may include heart rate, blood oxygen, blood pressure, respiratory rate, and the like.

[0027] In this embodiment, the state of the user may be the state of the user in the process of controlling the movement of the movable device; for example, it may include a tense state, a relaxed state, and the like.

[0028] Step 102: When the user's state is the first target state, generate a first control instruction to control the movable device to decelerate.

[0029] In the embodiments of the present application, the movable device is specifically a device that can be moved, such as a scooter, a balance car, a wheelchair, a car, an electric car, etc., and no further examples are given here.

[0030] In some examples, the first target state may be a state in which the user's first physiological indicator reaches a certain value. For example, the first target state may be a dangerous state determined based on the user's first physiological indicator.

[0031] For this embodiment, the first control instruction can be generated by the movable device when it is determined that the user's state is the first target state; for example, if the first target state is a dangerous state, then when the user's state is the first target state, the movable device generates the first control instruction and controls the deceleration through the first control instruction.

[0032] Compared with the current existing technology, this embodiment determines the user's status based on the user's first physiological characteristic data; when the user's status is the first target state, a first control instruction is generated to control the movable device to decelerate, so that this embodiment can judge the user's driving status through the first physiological characteristic data during the user driving the movable device, and analyze whether the user is in the target state through the driving status, and then intervene in the situation that the user is about to face in advance, such as deceleration processing, thereby ensuring the driving safety of the driving user to a greater extent, preventing driving accidents or minimizing the damage caused by driving accidents. In addition, this embodiment can also reduce the user's psychological burden when driving to a certain extent, enhance the user's driving confidence, and better ensure user safety.

[0033] As a refinement and extension of the above embodiment, this embodiment provides a control method for a movable device, wherein a collection module is integrated into the handle of the means of transport, such as Figure 2 As shown, the method includes:

[0034] Step 201: Acquire first physiological characteristic data through a removable device.

[0035] The user is a user who controls the movable device.

[0036] Optionally, the removable device includes electrocardiogram electrodes and / or radar equipment.

[0037] In the embodiment of the present application, obtaining the first physiological characteristic data through the movable device may be obtaining the first physiological characteristic data of the user through an electrocardiogram electrode and / or a radar device in the movable device.

[0038] For example, the user's heart rate data can be collected through electrocardiogram electrodes in the mobile device, and the user's heart rate data can also be collected through a radar device in the mobile device.

[0039] In some examples, radar detects the presence of target objects and changes in their state by emitting electromagnetic waves and receiving reflected signals. When applied to human heart rate detection, radar mainly focuses on the tiny displacement of the chest caused by the heartbeat (usually less than 1 mm). The following is the specific working mechanism: 1. Emitting electromagnetic waves: The radar device transmits a continuous wave (CW) or a frequency-modulated continuous wave (FMCW) toward the human body. 2. Receiving reflected signals: The slight vibration of the chest caused by the heartbeat will cause the reflected signal to have periodic phase changes. 3. Signal processing and analysis: These phase change information is extracted through complex algorithms and converted into corresponding heart rate values. This usually involves steps such as filtering, denoising, and spectrum analysis. 4. Result output: The final heart rate data can be presented to the user through a display screen or other means.

[0040] Optionally, step 201 may specifically include: acquiring the first physiological characteristic data of the user through a collection device integrated in the movable device, where the collection device includes a contact collection device and / or a non-contact collection device.

[0041] Optionally, step 201 may further specifically include: the movable device includes an electrocardiogram electrode and / or a radar device.

[0042] In an embodiment of the present application, the acquisition device may be a device integrated in a means of transportation for collecting physiological characteristic data of a user, wherein the contact acquisition device may be an electrocardiogram electrode, and the non-contact acquisition device may be a radar device; exemplarily, when the first physiological indicator data is heart rate, the specific acquisition process may be achieved through acquisition methods such as photoplethysmography (PPG) or electrode electrocardiogram (ECG).

[0043] Specifically, PPG technology uses light to illuminate the skin's surface and measures heart rate by detecting changes in light absorption due to blood flow. When the heart beats, blood flow increases, allowing more light to be absorbed; between heartbeats, absorption decreases. This technology is commonly found in wearable devices such as smartwatches and fitness trackers, and can also be integrated into scooters' steering wheels, armrests, or other areas of the body that frequently touch the body.

[0044] In an embodiment of the present application, an electrocardiogram (ECG) electrode records the heart rate by measuring changes in the heart's electrical activity. It requires at least two electrodes to be in contact with the skin to capture electrical signals. For example, if the movable device is a means of transportation, the acquisition device can be integrated into the handle of the means of transportation. When the user holds the handle with both hands, the user's heart rate data can be collected through the ECG electrodes.

[0045] In the embodiments of this application, Figure 3 As shown, the cardiac electrical signals can be captured by electrodes 1 and motor 2, so that the weak electrical signals generated by the heart are transmitted to the instrument amplifier through electrodes 1 and electrode 2. The instrument amplifier amplifies these weak signals to enhance the signal strength for subsequent processing; the amplified signals enter the analog front-end acquisition stage, in which the analog signals are converted into digital signals for further digital processing; the digital signals are transmitted to the microcontroller unit (MCU) for algorithm processing, wherein a specific algorithm runs inside the MCU to analyze and extract heart rate information; in some cases, the on-board host may perform fusion algorithm processing on the data from multiple sensors to improve the accuracy and reliability of heart rate measurement.

[0046] Step 202: Determine the user's status based on the user's first physiological characteristic data.

[0047] In an embodiment of the present application, the user's status can be determined based on the first physiological characteristic data by comparing the first physiological characteristic with a threshold, and determining the user's status based on the relationship between the first physiological characteristic data and the threshold; the first physiological characteristic can also be interval-mapped, and the user's status can be determined based on the mapped interval; the first physiological characteristic can also be converted, and the user's status can be determined based on the converted value, etc., and examples will not be given one by one here.

[0048] Optionally, the first physiological characteristic data includes heart rate data, and when the heart rate data is greater than or equal to a first heart rate threshold, it is determined that the user is in the first target state.

[0049] As an optional method, the collected heart rate data (or other physiological signals, such as blood oxygen, respiratory rate, etc.) can be filtered. Filtering can help remove noise, interference and outliers, thereby improving the reliability of subsequent analysis and judgment.

[0050] In an embodiment of the present application, the specific method of filtering processing can be to perform Kalman filtering. Kalman filtering is an efficient recursive filter that can estimate the state of a dynamic system from a series of incomplete and noisy measurements. Kalman filtering predicts the state of the system at the next moment based on a mathematical model and updates the predicted value based on actual observation data to obtain a more accurate state estimate. Its core idea is to combine the advantages of the prediction model and the measurement value to obtain the optimal estimate by minimizing the error covariance.

[0051] For example, in a heart rate monitoring scenario, Kalman filtering can be used to smooth the data and provide a more accurate heart rate estimate. Applying Kalman filtering in heart rate monitoring can help remove high-frequency noise in the heart rate signal, making the heart rate curve smoother; it can provide a more accurate heart rate estimate even in the presence of motion artifacts or other interference; in addition, due to its recursive nature, Kalman filtering is very suitable for processing real-time data streams.

[0052] In an embodiment of the present application, the user status can be determined based on the heart rate data obtained after filtering. For example, if the collected heart rate data of driving user 1 is a1, a2, and a3, the heart rate data of driving user 1 can be obtained as b1, b2, and b3 after filtering, and then the status of user 1 can be analyzed based on the filtered b1, b2, and b3.

[0053] Step 203: When the user's state is the first target state, generate a first control instruction to control the movable device to decelerate.

[0054] For example, if the user's first physiological characteristic data is heart rate data, and the first target state is that the heart rate reaches a first threshold, then when it is detected that the user's heart rate data reaches the first threshold, the movable device is controlled to decelerate. Specifically, the movable device can be controlled to decelerate linearly and a level one alarm can be issued.

[0055] In some examples, the first threshold can be determined based on the average of the user's historical physiological indicator data. It should be noted that since the user's physiological indicator data is updated in real time, the first threshold can also be updated according to the user's physiological indicators, which is not specifically limited here.

[0056] Optionally, the method of this embodiment further includes: when the user's state is a second target state, generating a second control instruction to control the movable device to stop.

[0057] In some examples, the second target state may be a state in which the user's first physiological indicator and / or second physiological indicator reaches a certain value. For example, the second target state may be a dangerous state determined based on the user's first physiological indicator and / or second physiological indicator.

[0058] For this embodiment, the second control instruction can be generated by the movable device when it is determined that the user's status is the second target state; for example, if the second target state is a dangerous state, then when the user's status is the second target state, the movable device generates a second control instruction and controls the movable device to stop through the second control instruction.

[0059] For example, if the first physiological characteristic data of the user is heart rate data, the second physiological characteristic data is blood oxygen data, and the second target state is that the heart rate reaches a second threshold value and the blood oxygen reaches a threshold value, the control can stop the movable device and perform a secondary alarm when it is detected that the heart rate data of the user reaches the second threshold value and the blood oxygen reaches the threshold value.

[0060] In some examples, the second threshold value can be determined based on the mean value of the historical physiological index data of the user. It should be noted that since the physiological index data of the user is updated in real time, the first threshold value can also be updated following the physiological index of the user, which is not limited here.

[0061] Optionally, the method further includes: acquiring second physiological characteristic data of the user through the wearable device, and determining that the user is in a second target state based on the fusion data of the first physiological characteristic data and the second physiological characteristic data.

[0062] Optionally, the second physiological characteristic data includes heart rate data and / or blood oxygen data, and the user is determined to be in the second target state when the heart rate data is greater than or equal to a second heart rate threshold value and / or the blood oxygen data is greater than or equal to a blood oxygen threshold value.

[0063] In the embodiments of the present application, there is a communication connection between the wearable device and the movable device. The wearable device refers to a portable technical device that can be directly worn on the body. They integrate computing, touch screen, sensor, and other technologies, and can realize various functions such as health monitoring, sports tracking, mobile payment, message notification, etc. For example, the types of wearable devices can include but are not limited to smart watches, fitness trackers, smart glasses, smart clothes, smart earphones / ear-wearing devices, medical monitoring devices, etc.

[0064] In the embodiments of the present application, the communication connection can be that the wearable device and the movable device can communicate. The communication connection mode can include but is not limited to Bluetooth (BT), Wi-Fi, Ultra-Wideband (UWB), etc.

[0065] In some examples, the second index data can be the first physiological index data collected by the target smart wearable device. For example, if the first physiological index is heart rate, the first index data is the heart rate data collected by the integrated collection module in the scooter, and the second index data is the heart rate data collected by the target smart wearable device.

[0066] For example, if the heart rate data of user A is collected by a mobile device, and the heart rate data and blood oxygen data of user A are collected by a wearable device, the heart rate data of user A collected by the mobile device and the heart rate data of user A collected by the wearable device can be fused. The fusion process can be calculated by formula 1, which is specifically shown as follows:

[0067] hr=Δ*ecg_hr+(1-Δ)*dev_hr (Formula 1)

[0068] In Formula 1, hr represents fusion indicator data, Δ represents a predetermined weight, ecg_hr represents heart rate data collected by the mobile device, and dev_hr represents heart rate data of user A collected by the wearable device. It should be noted that when the wearable device is not connected to the mobile device, Δ = 1.

[0069] For example, if the first target state is that the heart rate reaches 80, and the second indicator threshold is that the heart rate reaches 110 and the blood oxygen is less than 90%, if the heart rate data of user A collected by the mobile device and the heart rate data of user A collected by the wearable device are fused and processed, and the heart rate data is greater than or equal to 80, it can be determined that user A is in the first target state, that is, the mobile device can be linearly decelerated at a predetermined rate, and a first-level alarm can be issued; if the heart rate data of user A collected by the mobile device and the heart rate data of user A collected by the wearable device are fused and processed, and the heart rate data is greater than or equal to 110 and the blood oxygen reaches 90% but is less than 90%, it can be determined that user A is in the second target state, that is, the mobile device is controlled to stop driving, and a second-level alarm can be issued.

[0070] For example, Figure 4 The figure shows a flow chart of an example provided in an embodiment of the present application. The example may specifically include:

[0071] Step (1) The driver's heart rate and blood oxygen health data are detected by the smart device and transmitted to the travel tool via wireless, and the Kalman filter algorithm is used to calculate the heart rate HR (dev_hr), blood oxygen SpO2 (dev_sp02) and other information;

[0072] Step (2) detecting the driver's heart rate HR (ecg_hr) according to the health detection module (ECG electrode or radar) of the transportation tool handle, and calculating the relative heart rate HR, blood oxygen SpO2 and other health data by combining the health data in step (1) for fusion processing;

[0073] The fusion calculation formula is: hr = Δ*ecg_hr + (1-Δ)*dev_hr --- when the smart device is not connected to the vehicle, Δ = 1;

[0074] Step (3): Based on the relative health data calculated in step (2), the judgment logic includes:

[0075] If the relative heart rate HR is greater than h0 (h0 is the average HR value of the driver, the normal range is 60-100), the vehicle will be stopped and an alarm will be given (parking: the controller brakes the vehicle; sound and light interaction: such as the instrument flashing and the horn alarm), and then step (1) will be performed;

[0076] If the relative heart rate HR is greater than h1 (e.g., 110) and the relative blood oxygen SpO2 is less than s0 (e.g., 90%), linear deceleration and an alarm are performed, and then step (1) is performed.

[0077] Compared with the current existing technology, this embodiment determines the user's status based on the user's first physiological characteristic data; when the user's status is the first target state, a first control instruction is generated to control the movable device to decelerate, so that this embodiment can judge the user's driving status through the first physiological characteristic data during the user driving the movable device, and analyze whether the user is in the target state through the driving status, and then intervene in the situation that the user is about to face in advance, such as deceleration processing, thereby ensuring the driving safety of the driving user to a greater extent, preventing driving accidents or minimizing the damage caused by driving accidents. In addition, this embodiment can also reduce the user's psychological burden when driving to a certain extent, enhance the user's driving confidence, and better ensure user safety.

[0078] Further, as Figure 1 and Figure 2 The specific implementation of the method shown in this embodiment provides a control device for a mobile device, such as Figure 5 As shown, the device includes: a determination module 31 and a generation module 32.

[0079] A determination module 31 is configured to determine a state of the user based on the first physiological characteristic data of the user;

[0080] The generating module 32 is configured to generate a first control instruction to control the movable device to decelerate when the user's state is the first target state.

[0081] In some examples of this embodiment, the determination module 31 is further configured to obtain the first physiological characteristic data through the movable device, and the user is a user who controls the movable device.

[0082] In some examples of this embodiment, the determination module 31 is specifically configured to obtain the first physiological characteristic data of the user through a collection device integrated in the movable device, and the collection device includes a contact collection device and / or a non-contact collection device.

[0083] In some examples of this embodiment, the movable device includes electrocardiogram electrodes and / or radar equipment.

[0084] In some examples of this embodiment, the generating module 32 is further configured to generate a second control instruction to control the movable device to stop when the user's state is the second target state.

[0085] In some examples of this embodiment, the generation module 32 is further configured to obtain second physiological characteristic data of the user through a wearable device; and determine that the user is in the second target state based on the fusion data of the first physiological characteristic data and the second physiological characteristic data.

[0086] In some examples of this embodiment, the first physiological characteristic data includes heart rate data, and when the heart rate data is greater than or equal to a first heart rate threshold, it is determined that the user is in the first target state.

[0087] In some examples of this embodiment, the second physiological characteristic data includes heart rate data and / or blood oxygen data, and when the heart rate data is greater than or equal to a second heart rate threshold and / or the blood oxygen data is greater than or equal to a blood oxygen threshold, it is determined that the user is in the second target state.

[0088] It should be noted that for other corresponding descriptions of the functional units involved in the control device of a mobile device provided in this embodiment, please refer to Figure 1 and Figure 2 The corresponding description in will not be repeated here.

[0089] Based on the above Figure 1 and Figure 2 The method shown in FIG. 1 is a method for performing the above-mentioned steps. Accordingly, this embodiment further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the computer program can realize the above-mentioned steps. Figure 1 and Figure 2 The method shown.

[0090] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.), and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0091] like Figure 6 FIG. 1 is a schematic diagram of the hardware structure of an electronic device of the present invention, comprising:

[0092] at least one processor 401; and,

[0093] A memory 402 in communication with at least one of the processors 401; wherein,

[0094] The memory 402 stores instructions that can be executed by at least one processor. The instructions are executed by at least one processor to enable the at least one processor to perform the control method of the movable device as described above.

[0095] Figure 6 A processor 401 is taken as an example.

[0096] The electronic device may further include an input device 403 and a display device 404 .

[0097] The processor 401, the memory 402, the input device 403 and the display device 404 may be connected via a bus or other means. Figure 6 The bus connection is taken as an example.

[0098] The memory 402 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs, and modules, such as program instructions / modules corresponding to the control method of the mobile device in the embodiment of the present application, for example, Figure 1 and Figure 2 The processor 401 executes the non-volatile software programs, instructions and modules stored in the memory 402 to perform various functional applications and data processing, that is, to implement the control method of the mobile device in the above embodiment.

[0099] The memory 402 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the control method for the mobile device, etc. In addition, the memory 402 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 402 may optionally include a memory remotely located relative to the processor 401, and these remote memories may be connected to a device for executing the control method for the mobile device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0100] The input device 403 may receive user clicks and generate signal inputs related to user settings of a control method and function control of the mobile device. The display device 404 may include a display device such as a display screen.

[0101] The one or more modules are stored in the memory 402 and, when executed by the one or more processors 401 , execute the control method for a movable device in any of the above method embodiments.

[0102] Optionally, the physical device may further include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a Wi-Fi module, and the like. The user interface may include a display, an input unit such as a keyboard, and the like. The optional user interface may also include a USB interface, a card reader interface, and the like. The network interface may optionally include a standard wired interface, a wireless interface (such as a Wi-Fi interface), and the like.

[0103] Those skilled in the art will understand that the above-mentioned physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or a combination of certain components, or different component arrangements.

[0104] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the physical device, supporting the execution of information processing programs and other software and / or programs. The network communication module is used to enable communication between components within the storage medium, as well as with other hardware and software within the physical information processing device.

[0105] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform, or by means of hardware. By applying the solution of this embodiment, compared with the current existing technology, this embodiment determines the user's state based on the user's first physiological characteristic data; when the user's state is the first target state, a first control instruction is generated to control the deceleration of the movable device, so that this embodiment can judge the user's driving state through the first physiological characteristic data during the user's driving of the movable device, and analyze whether the user is in the target state through the driving state, and then intervene in advance in the situation that the user is about to face, such as performing deceleration processing, thereby ensuring the driving safety of the driving user to a greater extent, preventing driving accidents or minimizing the damage caused by driving accidents. In addition, this embodiment can also reduce the user's psychological burden when driving to a certain extent, enhance the user's driving confidence, and better ensure the user's safety.

[0106] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0107] The foregoing is merely a list of specific embodiments of the present application, intended to enable those skilled in the art to understand and implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments described herein, but is intended to conform to the broadest scope consistent with the principles and novel features of the present application.

Claims

1. A method for controlling a movable device, characterized in that: include: determining a state of the user based on first physiological characteristic data of the user; When the user's state is the first target state, a first control instruction is generated to control the movable device to decelerate.

2. The method according to claim 1, characterized in that Before determining the user's status based on the first physiological characteristic data of the user, the method further includes: The first physiological characteristic data is obtained through the movable device, and the user is a user who controls the movable device.

3. The method according to claim 2, characterized in that The acquiring the first physiological characteristic data by the mobile device includes: The first physiological characteristic data of the user is acquired through a collection device integrated in the movable device, where the collection device includes a contact collection device and / or a non-contact collection device.

4. The method according to claim 2 or 3, characterized in that The movable device includes electrocardiogram electrodes and / or radar equipment.

5. The method according to claim 1, wherein The method further comprises: When the user's state is the second target state, a second control instruction is generated to control the movable device to stop.

6. The method according to claim 5, characterized in that Before generating a second control instruction to control the movable device to stop when the user's state is the second target state, the method further includes: Acquiring a second physiological characteristic data of the user through a wearable device; When the user's state is the second target state, generating a second control instruction to control the movable device to stop includes: Based on the fusion data of the first physiological characteristic data and the second physiological characteristic data, it is determined that the user is in the second target state.

7. The method according to any one of claims 1 to 6, characterized in that The first physiological characteristic data includes heart rate data. When the heart rate data is greater than or equal to a first heart rate threshold, it is determined that the user is in the first target state.

8. The method according to claim 6, characterized in that The second physiological characteristic data includes heart rate data and / or blood oxygen data. When the heart rate data is greater than or equal to a second heart rate threshold and / or the blood oxygen data is greater than or equal to a blood oxygen threshold, it is determined that the user is in the second target state.

9. A control device for a movable device, characterized in that: include: a determination module configured to determine a state of the user based on the first physiological characteristic data of the user; The generating module is configured to generate a first control instruction to control the movable device to decelerate when the user's state is a first target state.

10. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

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