Vehicle interaction method and device based on intelligent ring, vehicle and storage medium

Abstract

The invention relates to the technical field of vehicles, in particular to a vehicle interaction method and device based on an intelligent ring, a vehicle and a storage medium, and the method comprises the steps: monitoring the driving physiological data of a user based on a preset monitoring frequency, judging whether the user meets a continuous driving condition or not, and if the user does not meet the continuous driving condition, executing the operation; if yes, driving behavior data of the user is recognized based on a monitoring module in the vehicle, a driving early warning strategy of the user is generated based on the driving physiological data and the driving behavior data, early warning reminding is conducted on the user, and then the vehicle is controlled to execute a target action corresponding to the driving early warning strategy. Therefore, the problems that a user state monitoring mode is single, low in accuracy and low in interaction efficiency and a traditional vehicle key or mobile phone Bluetooth unlocking mode lacks accurate positioning capability and is easily interfered are solved, and health monitoring, non-inductive unlocking and cross-equipment cooperative control during driving of a current user are realized through deep fusion of the intelligent ring and the vehicle; and the driving experience of the user is improved.

Description

Technical Field

[0001] This application relates to the technical field of vehicles, and particularly relates to a vehicle interaction method, device, vehicle and storage medium based on an intelligent ring. Background Art

[0002] With the continuous development of automobiles and the popularization of intelligent wearable devices, as an important branch of intelligent wearable devices, the technical development trend of intelligent rings is evolving towards higher integration, more intelligence, and more accurate health monitoring. At the same time, as an ornament worn by people, intelligent rings are convenient to carry and can also be an important carrier for users to establish interactions with automobiles, thereby realizing operations and interactions such as user health status monitoring, passive unlocking and locking, and gesture control of the vehicle.

[0003] In related technologies, intelligent cockpit systems usually rely on devices such as in-vehicle cameras and steering wheel sensors to monitor the driving status of users. At the same time, the vehicle is unlocked and locked through a vehicle key or mobile phone Bluetooth.

[0004] However, monitoring the driving status of users through devices such as in-vehicle cameras and steering wheel sensors has problems such as a single data dimension, low accuracy, and low interaction efficiency. When unlocking and locking the vehicle through traditional vehicle keys or mobile phone Bluetooth unlocking methods, there is a lack of precise positioning ability, susceptibility to interference, and the need for users to actively operate, resulting in a poor experience, which urgently needs to be solved. Summary of the Invention

[0005] This application provides a vehicle interaction method, device, vehicle and storage medium based on an intelligent ring to solve the problems of single and inaccurate user status monitoring methods, low interaction efficiency, and lack of precise positioning ability and susceptibility to interference in traditional vehicle key or mobile phone Bluetooth unlocking methods.

[0006] The first aspect of the embodiments of this application provides a vehicle interaction method based on an intelligent ring, including the following steps:

[0007] Monitor the driving physiological data of the user based on a preset monitoring frequency, and determine whether the user meets the condition for continuing to drive based on the driving physiological data;

[0008] If the user does not meet the condition for continuing to drive, identify the driving behavior data of the user based on the in-vehicle monitoring module to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data;

[0009] Warn and remind the user based on the driving warning strategy, and control the vehicle to execute the target action corresponding to the driving warning strategy.

[0010] Further, in some embodiments, monitoring the driving physiological data of the user and determining whether the user meets the condition for continuing to drive based on the driving physiological data includes:

[0011] Monitoring the heart rate data, blood pressure data, and blood oxygen data of the user;

[0012] If the heart rate data of the user is lower than the heart rate reference value within the first preset time, or the blood pressure data of the user rises by a preset blood pressure value within the second preset time, or the blood pressure data of the user is lower than the blood pressure reference value within the third preset time, or the blood oxygen data of the user is lower than the blood oxygen reference value within the fourth preset time, it is determined that the user does not meet the condition for continuing to drive.

[0013] Further, in some embodiments, identifying the driving behavior data of the user based on the in-vehicle monitoring module to generate the driving warning strategy of the user based on the driving physiological data and the driving behavior data includes:

[0014] When the heart rate data is lower than the heart rate reference value within the first preset time, identifying the steering wheel grip force of the user and the driving duration of the user;

[0015] If the steering wheel grip force of the user is greater than the preset grip force threshold and the first driving duration of the user is greater than the first preset driving duration, it is determined that the user is in a fatigued driving state, and the fatigued driving level is matched according to the heart rate data and the first driving duration, so as to generate the first driving warning strategy of the user according to the fatigued driving level.

[0016] Further, in some embodiments, identifying the driving behavior data of the user based on the in-vehicle monitoring module to generate the driving warning strategy of the user based on the driving physiological data and the driving behavior data includes:

[0017] When the blood pressure data of the user rises by a preset blood pressure value within the second preset time, directly generating the second driving warning strategy of the user based on the blood pressure data;

[0018] When the blood pressure data of the user is lower than the blood pressure reference value within the third preset time, identifying the second driving duration of the user, and when the second driving duration is greater than the second preset driving duration, generating the third driving warning strategy of the user based on the blood pressure data and the second driving duration.

[0019] Further, in some embodiments, identifying the driving behavior data of the user based on the in-vehicle monitoring module to generate the driving warning strategy of the user based on the driving physiological data and the driving behavior data includes:

[0020] When the blood oxygen data of the user is lower than the blood oxygen reference value within the fourth preset time, obtain the altitude data of the vehicle where the user is located;

[0021] Generate a fourth driving warning strategy for the user according to the blood oxygen data and the altitude data.

[0022] Further, in some embodiments, the above vehicle interaction method based on a smart ring further includes:

[0023] Based on the UWB (Ultra-Wideband) and BLE (Bluetooth Low Energy) communication modules built in the smart ring, collect the distance information between the user and the vehicle in real time;

[0024] Judge whether the distance information is less than or equal to a first preset distance;

[0025] If the distance information is less than or equal to the first preset distance, control the vehicle to wake up actively; or

[0026] If the distance information is less than or equal to a second preset distance, judge whether the user is within the preset unlocking range and whether the user is in a stationary state;

[0027] If the user is within the preset unlocking range and the user is in the stationary state, control the vehicle to wake up actively.

[0028] According to the vehicle interaction method based on a smart ring in the embodiments of the present application, monitor the driving physiological data of the user based on a preset monitoring frequency, and judge whether the user meets the condition for continuing to drive. If the user does not meet the condition for continuing to drive, identify the driving behavior data of the user based on the monitoring module in the vehicle, so as to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data, and give a warning reminder to the user, and then control the vehicle to execute the target action corresponding to the driving warning strategy. Thus, the problems of single user status monitoring method, low accuracy, low interaction efficiency, lack of accurate positioning ability and susceptibility to interference of traditional vehicle keys or mobile phone Bluetooth unlocking methods are solved. Through the deep integration of the smart ring and the vehicle, the health monitoring, passive unlocking and cross-device collaborative control of the current user during driving are realized, and the driving experience of the user is improved.

[0029] The second aspect of the embodiments of the present application provides a vehicle interaction device based on a smart ring, including:

[0030] A judgment module, configured to monitor the driving physiological data of the user based on a preset monitoring frequency, and judge whether the user meets the condition for continuing to drive based on the driving physiological data;

[0031] A generation module, configured to, if the user does not meet the condition for continuing to drive, identify the driving behavior data of the user based on the in-vehicle monitoring module, so as to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data;

[0032] A warning module, configured to give a warning reminder to the user based on the driving warning strategy, and control the vehicle to execute a target action corresponding to the driving warning strategy.

[0033] Further, in some embodiments, the determination module is specifically configured to:

[0034] Monitor the heart rate data, blood pressure data, and blood oxygen data of the user;

[0035] If the heart rate data of the user is lower than the heart rate reference value within a first preset time, or the blood pressure data of the user rises by a preset blood pressure value within a second preset time, or the blood pressure data of the user is lower than the blood pressure reference value within a third preset time, or the blood oxygen data of the user is lower than the blood oxygen reference value within a fourth preset time, it is determined that the user does not meet the condition for continuing to drive.

[0036] Further, in some embodiments, the generation module is specifically configured to:

[0037] When the heart rate data is lower than the heart rate reference value within a first preset time, identify the steering wheel grip force of the user and the driving duration of the user;

[0038] If the steering wheel grip force of the user is greater than a preset grip force threshold and the first driving duration of the user is greater than a first preset driving duration, it is determined that the user is in a fatigued driving state, and a fatigued driving level is matched according to the heart rate data and the first driving duration, so as to generate a first driving warning strategy for the user according to the fatigued driving level.

[0039] Further, in some embodiments, the generation module is specifically configured to:

[0040] When the blood pressure data of the user rises by a preset blood pressure value within a second preset time, directly generate a second driving warning strategy for the user based on the blood pressure data;

[0041] When the blood pressure data of the user is lower than the blood pressure reference value within a third preset time, identify the second driving duration of the user, and when the second driving duration is greater than a second preset driving duration, generate a third driving warning strategy for the user based on the blood pressure data and the second driving duration.

[0042] Further, in some embodiments, the generation module is specifically configured to:

[0043] When the blood oxygen data of the user is lower than the blood oxygen reference value within the fourth preset time, obtain the altitude data of the vehicle where it is located;

[0044] Generate a fourth driving warning strategy for the user according to the blood oxygen data and the altitude data.

[0045] Further, in some embodiments, the above vehicle interaction device based on a smart ring further includes:

[0046] Based on the UWB and BLE communication modules built in the smart ring, real-time collect the distance information between the user and the vehicle;

[0047] Judge whether the distance information is less than or equal to a first preset distance;

[0048] If the distance information is less than or equal to the first preset distance, control the vehicle to wake up actively; or

[0049] If the distance information is less than or equal to a second preset distance, judge whether the user is within the preset unlocking range and whether the user is in a stationary state;

[0050] If the user is within the preset unlocking range and the user is in the stationary state, control the vehicle to wake up actively.

[0051] According to the vehicle interaction device based on a smart ring in the embodiments of the present application, monitor the driving physiological data of the user based on a preset monitoring frequency, and judge whether the user meets the condition for continuing to drive. If the user does not meet the condition for continuing to drive, identify the driving behavior data of the user based on the monitoring module in the vehicle, so as to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data, and give a warning reminder to the user, and then control the vehicle to execute the target action corresponding to the driving warning strategy. Thus, the problems of single monitoring method, low accuracy, low interaction efficiency of user status monitoring, and lack of precise positioning ability and susceptibility to interference of traditional vehicle key or mobile phone Bluetooth unlocking methods are solved. Through the deep integration of the smart ring and the vehicle, the health monitoring, passive unlocking and cross-device collaborative control of the current user during driving are realized, and the driving experience of the user is improved.

[0052] An embodiment of the third aspect of the present application provides a vehicle, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the vehicle interaction method based on a smart ring as described in the above embodiments.

[0053] A fourth aspect embodiment of the present application provides a computer-readable storage medium storing computer instructions for causing a computer to execute the vehicle interaction method based on a smart ring as described in the above embodiments.

[0054] A fifth aspect embodiment of the present application provides a computer program product including a computer program which, when executed, is used to implement the vehicle interaction method based on a smart ring as described in the above embodiments.

[0055] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0057] Figure 1 is a flowchart of a vehicle interaction method based on a smart ring according to an embodiment of the present application;

[0058] Figure 2 is a schematic diagram of the system architecture of vehicle interaction based on a smart ring according to an embodiment of the present application;

[0059] Figure 3 is a schematic diagram of the hardware module of a smart ring according to an embodiment of the present application;

[0060] Figure 4 is an example diagram of a vehicle interaction device based on a smart ring according to an embodiment of the present application;

[0061] Figure 5 is a schematic diagram of the structure of a vehicle according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0062] Embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application and should not be construed as limiting the present application.

[0063] The vehicle interaction method, device, vehicle, and storage medium based on a smart ring according to the embodiments of the present application will be described below with reference to the accompanying drawings. In view of the problems of single user status monitoring method, low accuracy, low interaction efficiency in the above-mentioned background technology, and the lack of precise positioning ability and susceptibility to interference in traditional vehicle key or mobile phone Bluetooth unlocking methods, the present application provides a vehicle interaction method based on a smart ring. In this method, the driving physiological data of the user is monitored based on a preset monitoring frequency, and it is determined whether the user meets the condition for continuing to drive. If the user does not meet the condition for continuing to drive, the driving behavior data of the user is identified based on the monitoring module in the vehicle, so as to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data, and give a warning reminder to the user, and then control the vehicle to execute the target action corresponding to the driving warning strategy. Thus, the problems of single user status monitoring method, low accuracy, low interaction efficiency, and the lack of precise positioning ability and susceptibility to interference in traditional vehicle key or mobile phone Bluetooth unlocking methods are solved, and the health monitoring, touchless unlocking, and cross-device collaborative control during the current user's driving are realized through the deep integration of the smart ring and the vehicle, improving the user's driving and riding experience.

[0064] Specifically, Figure 1 FIG. is a schematic flowchart of a vehicle interaction method based on a smart ring provided by an embodiment of the present application.

[0065] As Figure 1 shown, the vehicle interaction method based on a smart ring includes the following steps:

[0066] In step S101, the driving physiological data of the user is monitored based on a preset monitoring frequency, and it is determined whether the user meets the condition for continuing to drive based on the driving physiological data.

[0067] Further, in some embodiments, monitoring the driving physiological data of the user and determining whether the user meets the condition for continuing to drive includes: monitoring the user's heart rate data, the user's blood pressure data, and the user's blood oxygen data; if the user's heart rate data is lower than the heart rate reference value within the first preset time, or the user's blood pressure data rises by a preset blood pressure value within the second preset time, or the user's blood pressure data is lower than the blood pressure reference value within the third preset time, or the user's blood oxygen data is lower than the blood oxygen reference value within the fourth preset time, it is determined that the user does not meet the condition for continuing to drive.

[0068] Among them, the first preset time, the second preset time, the third preset time, and the fourth preset time can all be set by those skilled in the art according to actual driving needs, or obtained through a limited number of computer simulations, and no specific limitation is made here.

[0069] Specifically, to improve the diversity of user driving status monitoring and the real-time collaboration of vehicle interaction, the embodiment of this application takes an intelligent ring as the core, combines UWB positioning, multi-modal sensors, and cross-terminal data collaboration technology to achieve integrated functions of accurate driver health monitoring, vehicle passive unlocking, and intelligent control.

[0070] Further, as Figure 2 shown, the embodiment of this application mainly consists of an intelligent ring, an intelligent cockpit system, and a cloud platform. Among them, the intelligent ring integrates a biosensor (such as PPG (Photo plethysmo graphy), optical heart rate, ECG (Electrocardiogram), body temperature), a motion sensor (six-axis IMU (Inertial Measurement Unit)), a UWB / BLE communication module, a micro tactile motor, a power management module, a data storage module, and a microphone; the intelligent cockpit system is built-in with a health monitoring module (built-in health data processing engine), a gesture recognition module (built-in gesture recognition algorithm), a user identity management module, a voice control module, a passive unlocking module, and a T-BOX (Telematics BOX) module, etc.; the cloud platform is used for cross-device data synchronization and AI (Artificial Intelligence) analysis model training. Among them, the intelligent ring conducts data interaction with the intelligent cockpit system through UWB / BLE to achieve user health monitoring, vehicle passive unlocking, and gesture control functions.

[0071] Specifically, as Figure 3 shown, first, the biosensor in the intelligent ring collects the user's driving physiological data (health data) in real time, mainly including the user's heart rate, blood pressure, and blood oxygen data. That is to say, the heart rate variability, blood pressure trend, and blood oxygen saturation (SpO2) of the user are collected in real time through the biosensor, the risk of arrhythmia is detected through ECG, and at the same time, combined with the in-vehicle camera (monitoring the user's facial expression) and the steering wheel grip sensor, the user's fatigue state or sudden illness situation (such as myocardial infarction) is comprehensively judged; second, if the user's heart rate data collected is lower than the heart rate reference value within the first preset time (such as 30 minutes) (for example, 20% lower than the reference line), or the user's blood pressure data rises by a preset blood pressure value within the second preset time (such as 30 minutes) (for example, more than 20 mmHg), or the user's blood pressure data is lower than the blood pressure reference value within the third preset time (such as 2 hours) (for example, 10% lower than the reference line), or the user's blood oxygen data is lower than the blood oxygen reference value within the fourth preset time (such as 5 minutes) (for example, lower than the reference line of 94% in plain areas and lower than the reference line of 90% in plateau areas), it is determined that the user does not meet the condition to continue driving.

[0072] In step S102, if the user does not meet the conditions for continuing to drive, the driving behavior data of the user is identified based on the in-vehicle monitoring module, so as to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data.

[0073] In step S103, a warning reminder is given to the user based on the driving warning strategy, and the vehicle is controlled to execute the target action corresponding to the driving warning strategy.

[0074] Further, in some embodiments, identifying the driving behavior data of the user based on the in-vehicle monitoring module to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data includes: when the heart rate data is lower than the heart rate reference value within the first preset time, identifying the steering wheel grip force of the user and the driving duration of the user; when the steering wheel grip force of the user is greater than the preset grip force threshold and the first driving duration of the user is greater than the first preset driving duration, it is determined that the user is in a fatigued driving state, and the fatigued driving level is matched according to the heart rate data and the first driving duration, so as to generate a first driving warning strategy for the user according to the fatigued driving level.

[0075] Among them, the preset grip force threshold and the first preset driving duration can be set by those skilled in the art according to the actual vehicle driving requirements, or obtained by a limited number of computer simulations, and no specific limitation is made here.

[0076] Specifically, as a realizable way on the one hand, if the user's heart rate data is lower than the heart rate baseline value by 20% within 30 consecutive minutes (the dynamic baseline is calculated through HRV (Heart Rate Variability) during the recent 7-day sleep period), at this time, further judgment is made based on the real-time recognized steering wheel grip force of the user and the user's first driving duration. When the user's steering wheel grip force is greater than the preset grip force threshold (for example, greater than 50 N) and the user's first driving duration is greater than the first preset driving time (for example, greater than 2 h), it can be determined that the user is in a state of fatigue driving. Among them, the determination logic is that the HRV (RMSSD (Root Mean Square of Successive Differences) < 30 ms (regarded as a significant decrease)) is monitored by the intelligent ring PPG, and continuous driving is determined when the steering wheel grip force sensor + GPS (Global Positioning System) speed > 60 km / h. At this time, the fatigue driving level can be matched according to the user's heart rate data and the first driving duration, so as to generate the user's first driving warning strategy according to the fatigue driving level. Among them, the first driving warning strategy can be divided into a first-level warning, a second-level warning, and a third-level warning. The warning method for the first-level warning (HRV decrease + first driving duration of 1.5 hours) is: slightly fatigued, start the in-vehicle air conditioner wake-up mode + the on-vehicle screen flashes an orange pop-up window reminder; the warning method for the second-level warning (HRV decrease + first driving duration of 2 hours) is: moderately fatigued, the steering wheel vibrates to remind + voice suggestion "Take a rest at the next service area"; the warning method for the third-level warning (HRV decrease + serious physical discomfort) is: automatically switch to the autopilot mode, navigate to the nearest hospital and call for first aid.

[0077] Furthermore, in the above embodiment, the hardware support involved is an intelligent ring and a vehicle. Among them, the intelligent ring is a low-power PPG sensor (sampling rate ≥ 32 Hz) + a three-axis accelerometer (detecting the stationary state of the hand); the vehicle is equipped with a pressure-sensing steering wheel (capacitive thin-film sensor), and the cockpit domain control is linked with the ring Bluetooth module.

[0078] Furthermore, in some embodiments, based on the in-vehicle monitoring module, the driving behavior data of the user is recognized to generate the user's driving warning strategy based on the driving physiological data and the driving behavior data, including: when the user's blood pressure data rises by a preset blood pressure value within the second preset time, the user's second driving warning strategy is directly generated based on the blood pressure data; when the user's blood pressure data is lower than the blood pressure baseline value within the third preset time, the user's second driving duration is recognized, and when the second driving duration is greater than the second preset driving duration, the user's third driving warning strategy is generated based on the blood pressure data and the second driving duration.

[0079] Among them, the preset blood pressure value and the second preset driving duration can be set by those skilled in the art according to actual vehicle driving requirements, or obtained through a limited number of computer simulations, and no specific limitations are provided herein.

[0080] Specifically, as another implementable manner, if the blood pressure data of the user's systolic blood pressure rises by the preset blood pressure value (more than 20 mmHg) within the second preset time (for example, 30 min), then the second driving warning strategy for the user is directly generated based on the blood pressure data. That is to say, if the blood pressure data of the user's systolic blood pressure rises by more than 20 mmHg within 30 min (for example, 120 → 145 mmHg), it indicates that the user's blood pressure is in an abnormal state and there has been an acute change in blood pressure. At this time, for the sake of the user's health, regardless of the driving duration, the second driving warning strategy for the user is directly generated, that is, an alarm is directly triggered for warning and reminder; or, if the blood pressure data of the user's diastolic blood pressure is lower than the blood pressure reference value (for example, 10% lower than the reference line) within the third preset time (2 h), according to the identified second driving duration of the user, and when the second driving duration is greater than the second preset driving duration (for example, 1 h), the third driving warning strategy for the user is generated based on the blood pressure data and the second driving duration. That is to say, when the blood pressure data of the user's diastolic blood pressure is continuously 10% lower than the reference line within 2 h (for example, 75 → 67 mmHg), it indicates that the user's blood pressure data is in a chronic abnormal state, and when the second driving duration is greater than 1 h, the third driving warning strategy for the user is generated at this time. Among them, the third driving warning strategy can be: (1) Sharp increase in blood pressure + heart rate > 100 bpm: Suspected hypertensive crisis, directly trigger the vehicle intelligent driving system to slowly pull over to the side of the road + turn on the hazard lights, and the vehicle-mounted display screen shows a red warning "Pull over immediately and contact first aid"; (2) Slow decrease in blood pressure + dusk period (17:00 - 19:00): Predict the risk of orthostatic hypotension, adjust the seat tilt angle in advance, and at the same time, the steering wheel heating is automatically turned on (to improve peripheral blood circulation) + a pop-up message on the central control screen "It is recommended to replenish electrolytes at the rest stop at the next exit".

[0081] Furthermore, when performing blood pressure recognition, blood pressure calibration is also required to ensure the correctness of the user's blood pressure data collection. That is, when the vehicle is started for the first time every day, the smart ring needs to be automatically calibrated via Bluetooth with a cuff blood pressure monitor (error compensation ±3 mmHg).

[0082] Furthermore, in the above embodiments, the hardware support involved is a smart ring and a vehicle. Among them, the smart ring adopts a dual-mode blood pressure algorithm of PWTT (Pulse Wave Transit Time) + PWA (Progressive Web App) (requiring an ECG electrode ring + dual-wavelength PPG); the vehicle seat is internally provided with a pressure distribution sensor (detecting blood pressure fluctuations caused by sitting posture changes).

[0083] Further, in some embodiments, based on the driving behavior data of the user recognized by the in-vehicle monitoring module, a driving warning strategy for the user is generated based on the driving physiological data and the driving behavior data, including: when the blood oxygen data of the user is lower than the blood oxygen baseline value within a fourth preset time, obtaining the altitude data of the vehicle; generating a fourth driving warning strategy for the user according to the blood oxygen data and the altitude data.

[0084] Specifically, as another implementable manner, when the blood oxygen data of the user is lower than the blood oxygen baseline value (lower than the baseline 94%) within a fourth preset time (for example, 5 minutes), obtain the altitude data of the vehicle, mainly including the blood oxygen data in the plain area and the blood oxygen data with an altitude greater than 2500 m. For example, in the plain area, if the blood oxygen data is continuously <94% for 5 minutes and the driving duration > 30 minutes, or in the area with an altitude greater than 2500 m, when the blood oxygen data < 90%, it is determined at this time that the user is in a state of low blood oxygen, and then a fourth driving warning strategy for the user is generated according to the blood oxygen data and the altitude data. For example, night driving + SpO2 decrease + window closed: at this time, there is a risk of CO2 retention, and the vehicle-mounted air detector is linked to start the external circulation ventilation; in the high-altitude area + SpO2 drops suddenly: a suggestion "Seek help from the nearest medical station" pops up on the central control screen, and the vehicle-mounted oxygen generator is automatically started (if configured), where the vehicle barometer detects that the altitude change > 100 meters / minute (may enter a tunnel or climb a slope).

[0085] Further, during the process of detecting the blood oxygen data, an anti-interference mechanism needs to be added. For example, motion artifact filtering can be used: when the accelerometer detects that the hand swing frequency > 2 Hz (such as on a bumpy road section), the SpO2 analysis is automatically paused.

[0086] Further, in the above embodiments, the hardware support involved is a smart ring and a vehicle. Among them, the smart ring is built-in with a four-wavelength SpO2 sensor (660 nm / 735 nm / 805 nm / 940 nm) to improve the low perfusion accuracy, and the in-vehicle intelligent cockpit system accesses the weather API (Application Programming Interface) to obtain the local altitude and blood oxygen data in real time.

[0087] Further, in some embodiments, the above vehicle interaction method based on a smart ring further includes: collecting the distance information between the user and the vehicle in real time based on the built-in UWB and BLE communication modules in the smart ring; determining whether the distance information is less than or equal to a first preset distance; if the distance information is less than or equal to the first preset distance, controlling the vehicle to be actively woken up; or if the distance information is less than or equal to a second preset distance, determining whether the user is within a preset unlocking range and whether the user is in a stationary state; if the user is within the preset unlocking range and the user is in a stationary state, controlling the vehicle to be actively woken up.

[0088] Wherein, both the first preset distance and the second preset distance can be set by those skilled in the art according to actual driving requirements, or can be obtained through a limited number of computer simulations, and no specific limitation is made here.

[0089] Specifically, in the embodiments of the present application, in addition to being able to realize real-time monitoring based on user health data and vehicle machine linkage, it can also be based on UWB+BLE touchless entry and personalized cockpit configuration.

[0090] Specifically, the smart ring can perform positioning and identity binding based on UWB+BLE, mainly including: UWB ranging: The ring is built with a UWB chip (such as Qorvo DW3110), which forms a positioning array with 4 UWB anchors on the vehicle side, and realizes centimeter-level positioning (error <10 cm) through the Time of Flight (ToF) algorithm, avoiding the problem that traditional Bluetooth is vulnerable to interference, and realizing precise touchless unlocking; dynamic key: BLE 5.2 broadcasts an encrypted anonymous ID, and generates a temporary session key after pairing with the vehicle side (updated for each communication), preventing relay attacks, and at the same time supporting personalized scenario loading: transmitting the user identity information to the vehicle machine through BLE, and automatically adjusting the seat position, rearview mirror angle, air conditioning temperature and music preferences.

[0091] The touchless unlocking trigger process based on UWB+BLE is as follows:

[0092] (1) Wake up when approaching (within 3 meters): Active welcome function, when the distance information between the user and the vehicle is less than or equal to a first preset distance (such as 3 meters), control the vehicle's active wake-up function, that is, when the user is 3 meters away from the vehicle, the daytime running lights can flash dynamically + the welcome light carpet can be projected. The implementation method is to wake up the dormant UWB module on the vehicle side through the smart ring BLE broadcast signal; the vehicle side UWB anchor starts ranging to confirm that the user is walking towards the driver's side (positioning coordinates + motion trajectory analysis);

[0093] (2) Passive Unlock (within 1 meter): The contactless unlocking function. When the distance information between the user and the vehicle is less than or equal to the second preset distance (e.g., 0.5 meters) and the user is in a stationary state, the vehicle is controlled to wake up actively. That is, when the user approaches the driver's door, the vehicle unlocks automatically (without taking out the key or mobile phone). The implementation method is that UWB confirms that the user is within 0.5 meters of the driver's side door and remains stationary for 0.5 seconds (to prevent accidental touch). At this time, the vehicle terminal issues an encrypted command through BLE to control the electronic door lock to unlock;

[0094] (3) Start the engine (after taking a seat): The implementation method is that the seat pressure sensor + the ring inertial measurement unit (IMU) detect the user's sitting posture; the intelligent ring UWB and the vehicle-mounted anchor point perform secondary authentication. After confirming the identity of the vehicle owner, one-key start is allowed.

[0095] Furthermore, to achieve the passive unlocking of the vehicle, the following hardware support is required, mainly including an intelligent ring and a vehicle. Among them, the intelligent ring is built-in with a UWB chip (supporting the IEEE 802.15.4z HRP mode), a BLE 5.2 dual-mode chip (balancing low power consumption and high-speed transmission), and an inertial measurement unit for hand movement recognition; the vehicle is built-in with a UWB anchor point module (deployed on the front and rear bumpers, left and right rearview mirrors), a BLE central gateway (integrating the NXP NCF3320 chip), and an electronic door lock controller (supporting CAN (Controller Area Network) bus communication).

[0096] Furthermore, to implement the above functions, the vehicle in the embodiment of the present application can perform multi-modal interaction innovation with the user, mainly including gesture control, tactile feedback, and voice-assisted control. Among them, gesture control: Define a gesture library (such as sliding a finger to adjust the volume, making a fist to answer a call), and recognize actions through the IMU sensor + AI algorithm, with an error rate < 1%. ; Tactile feedback: Confirm the operation through the vibration of the micro motor (such as a short vibration once for answering / hanging up a call, a long vibration three times for a warning); Voice-assisted control: The ring microphone supports directional noise reduction. The user pinches the ring to wake up the voice assistant to achieve in-vehicle and out-of-vehicle voice functions, and execute instructions such as "open the sunroof", "navigate home", "play music", etc., expanding the voice usage scenarios.

[0097] Furthermore, it is possible to implement personalized cockpit configuration based on BLE. During the process of personalized cockpit configuration based on BLE, it includes identity recognition, configuration loading, and dynamic scenario adaptation. After the user takes a seat, the vehicle automatically loads seat memory, HUD (Head-Up Display) height, and frequently used navigation addresses, mainly including: (1) BLE GATT service: The ring has a built-in custom GATT characteristic value, including user ID (Identifier), seat / mirror position preferences, air conditioning settings, etc. (encrypted data storage); (2) Quick pairing: The vehicle scans the white list of the ring's MAC (Media Access Control) address and completes identity authentication within 1 second (ECDH (Elliptic Curve Diffie-Hellman) key exchange).

[0098] Furthermore, in dynamic scenario adaptation, it mainly includes driving mode linkage and environmental perception adaptation. Among them, driving mode linkage mainly includes detecting the ring's IMU gestures (such as double-tapping the ring surface to switch the sports mode) and synchronously adjusting the steering wheel damping and suspension hardness; environmental perception adaptation mainly includes the ring's temperature sensor detecting the body surface temperature and automatically adjusting the zoned air conditioning (such as increasing the steering wheel heating gear when the hand temperature is low).

[0099] Furthermore, in the above embodiments, the hardware support involved is a smart ring and a vehicle. Among them, the smart ring is built with a BLE 5.2 chip (supporting 2Mbps high-speed mode transmission profile), a temperature sensor (Maxim MAX30205, accuracy ±0.1°C), and a capacitive touch sensor (detecting gesture operations); the vehicle includes a cockpit domain controller (Qualcomm SA8295P chip, supporting multi-user configuration storage) and an electric seat / steering wheel / rearview mirror drive module (supporting CAN / LIN (Local Interconnect Network) bus control).

[0100] Thus, based on the above embodiments, the present application can achieve cross-device data closed-loop and collaboration, mainly including data synchronization and decision optimization: The ring's health data is synchronized to the in-vehicle App to generate a long-term report, and the in-vehicle system optimizes the warning threshold according to historical data (such as reducing the heart rate alarm threshold for hypertensive patients); in case of an emergency, the in-vehicle system can send the location and health status through the mobile phone of the emergency contact; multi-device control center: The ring serves as a control terminal. Based on user-defined gesture libraries, it can synchronously control the in-vehicle system, mobile phone, and smart home (such as turning off the home air conditioner through gestures after leaving the vehicle), etc.

[0101] In summary, in the embodiment of the present application, with the intelligent ring as the core wearable device, a smart perception terminal system is integrated with a biosensor, a motion sensor (six-axis IMU), a UWB (Ultra Wide Band) positioning / BLE communication module, a micro tactile motor, and a microphone. Multimodal algorithms and cross-terminal data collaboration technologies are built in, and a data closed-loop and deep integration are formed with the intelligent cockpit system and the cloud platform, thereby realizing (1) deep integration of health and safety: combining the data of the wearable device with the vehicle control logic to achieve active safety protection; (2) touchless interaction experience: the UWB+AI algorithm solves the cumbersome nature of traditional vehicle control relying on physical contact, or the scenario where mobile phones or NFC (Near Field Communication) cards are easily forgotten; (3) ecological scalability: open APIs support the access of third-party services, such as sports records and touchless payment. Thus, the fragmented scenarios of current traditional vehicles, terminal keys, and driver monitoring are solved, and the accurate monitoring of the driver's health, touchless unlocking of the vehicle, and integrated intelligent vehicle control are realized.

[0102] According to the vehicle interaction method based on an intelligent ring in the embodiment of the present application, the driving physiological data of the user is monitored based on a preset monitoring frequency, and it is determined whether the user meets the condition for continuing to drive. If the user does not meet the condition for continuing to drive, the driving behavior data of the user is identified based on the monitoring module in the vehicle, so as to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data, and give a warning reminder to the user, and then control the vehicle to execute the target action corresponding to the driving warning strategy. Thereby, the problems of single user status monitoring method, low accuracy, low interaction efficiency, lack of accurate positioning ability and susceptibility to interference in the traditional vehicle key or mobile phone Bluetooth unlocking method are solved. Through the deep integration of the intelligent ring and the vehicle, the health monitoring, touchless unlocking and cross-device collaborative control of the current user during driving are realized, and the driving and riding experience of the user is improved.

[0103] Next, a vehicle interaction device based on an intelligent ring proposed according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0104] Figure 4 It is a block diagram of a vehicle interaction device based on an intelligent ring in an embodiment of the present application.

[0105] As Figure 4 shown, the vehicle interaction device 10 based on the intelligent ring includes: a judgment module 100, a generation module 200, and a warning module 300.

[0106] Among them, the judgment module 100 is configured to monitor the driving physiological data of the user based on a preset monitoring frequency, and judge whether the user meets the condition for continuing to drive based on the driving physiological data;

[0107] A generation module 200, configured to, if the user does not meet the condition for continuing to drive, identify the driving behavior data of the user based on the in-vehicle monitoring module, so as to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data;

[0108] A warning module 300, configured to give a warning reminder to the user based on the driving warning strategy and control the vehicle to execute the target action corresponding to the driving warning strategy.

[0109] Further, in some embodiments, the determination module 100 is specifically configured to:

[0110] Monitor the user's heart rate data, blood pressure data, and blood oxygen data;

[0111] If the user's heart rate data is lower than the heart rate reference value within the first preset time, or the user's blood pressure data rises by a preset blood pressure value within the second preset time, or the user's blood pressure data is lower than the blood pressure reference value within the third preset time, or the user's blood oxygen data is lower than the blood oxygen reference value within the fourth preset time, it is determined that the user does not meet the condition for continuing to drive.

[0112] Further, in some embodiments, the generation module 200 is specifically configured to:

[0113] When the heart rate data is lower than the heart rate reference value within the first preset time, identify the user's steering wheel grip force and the user's driving duration;

[0114] If the user's steering wheel grip force is greater than the preset grip force threshold and the user's first driving duration is greater than the first preset driving duration, it is determined that the user is in a fatigued driving state, and the fatigued driving level is matched according to the heart rate data and the first driving duration, so as to generate a first driving warning strategy for the user according to the fatigued driving level.

[0115] Further, in some embodiments, the generation module 200 is specifically configured to:

[0116] When the user's blood pressure data rises by a preset blood pressure value within the second preset time, directly generate a second driving warning strategy for the user based on the blood pressure data;

[0117] When the user's blood pressure data is lower than the blood pressure reference value within the third preset time, identify the user's second driving duration, and when the second driving duration is greater than the second preset driving duration, generate a third driving warning strategy for the user based on the blood pressure data and the second driving duration.

[0118] Further, in some embodiments, the generation module 200 is specifically configured to:

[0119] When the user's blood oxygen data is lower than the blood oxygen reference value within the fourth preset time, obtain the altitude data where the vehicle is located;

[0120] Generate the fourth driving warning strategy for the user based on the blood oxygen data and altitude data.

[0121] Further, in some embodiments, the above-mentioned vehicle interaction device 10 based on the smart ring further includes:

[0122] Collect the distance information between the user and the vehicle in real time based on the built-in UWB and BLE communication modules in the smart ring;

[0123] Judge whether the distance information is less than or equal to the first preset distance;

[0124] If the distance information is less than or equal to the first preset distance, control the vehicle to wake up actively; or

[0125] If the distance information is less than or equal to the second preset distance, judge whether the user is within the preset unlocking range and whether the user is in a stationary state;

[0126] If the user is within the preset unlocking range and the user is in a stationary state, control the vehicle to wake up actively.

[0127] According to the vehicle interaction device based on the smart ring in the embodiments of the present application, monitor the driving physiological data of the user based on a preset monitoring frequency, and judge whether the user meets the conditions for continuing to drive. If the user does not meet the conditions for continuing to drive, identify the driving behavior data of the user based on the in-vehicle monitoring module, generate a driving warning strategy for the user based on the driving physiological data and driving behavior data, and give a warning reminder to the user, and then control the vehicle to execute the target action corresponding to the driving warning strategy. Thus, the problems of single monitoring method, low accuracy, low interaction efficiency of user status monitoring, lack of precise positioning ability and susceptibility to interference of traditional vehicle keys or mobile phone Bluetooth unlocking methods are solved. Through the deep integration of the smart ring and the vehicle, the health monitoring, passive unlocking and cross-device collaborative control of the current user during driving are realized, and the driving experience of the user is improved.

[0128] Figure 5 The structural schematic diagram of the vehicle provided by the embodiments of the present application. The vehicle may include:

[0129] A memory 501, a processor 502, and a computer program stored on the memory 501 and executable on the processor 502.

[0130] When the processor 502 executes the program, it implements the vehicle interaction method based on the smart ring provided in the above embodiments.

[0131] Further, the vehicle further includes:

[0132] A communication interface 503 for communication between the memory 501 and the processor 502.

[0133] A memory 501 for storing a computer program that can run on a processor 502.

[0134] The memory 501 may include a high-speed RAM memory and may also include non-volatile memory, such as at least one disk memory.

[0135] If the memory 501, the processor 502, and the communication interface 503 are implemented independently, the communication interface 503, the memory 501, and the processor 502 can be interconnected through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 5 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0136] Optionally, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a chip, the memory 501, the processor 502, and the communication interface 503 can communicate with each other through an internal interface.

[0137] The processor 502 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0138] This embodiment also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the vehicle interaction method based on a smart ring as described above is implemented.

[0139] This embodiment also provides a computer program product, including a computer program, and the computer program is executed to implement the vehicle interaction method based on a smart ring in the above embodiment.

[0140] In the description of this specification, the descriptions with reference to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0141] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0142] Any process or method description shown in the flowchart or described in other ways herein can be understood as representing a module, segment, or portion of code including one or more N executable instructions for implementing a customized logical function or process, and the scope of the preferred embodiments of this application includes additional implementations, where the functions may be executed in a substantially simultaneous manner or in the reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of this application belong.

[0143] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection part (electronic device) having one or N wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, a computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0144] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0145] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of the above embodiments can be completed by a program instructing relevant hardware. The program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0146] In addition, each functional unit in various embodiments of the present application may be integrated into one processing module, may exist physically alone for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0147] The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present application.

Claims

1. A vehicle interaction method based on a smart ring, characterized in that, Including the following steps: Monitoring the user's driving physiological data based on a preset monitoring frequency, and determining whether the user meets the condition for continuing to drive based on the driving physiological data; If the user does not meet the condition for continuing to drive, identifying the user's driving behavior data based on the in-vehicle monitoring module, so as to generate the user's driving warning strategy based on the driving physiological data and the driving behavior data; Giving a warning reminder to the user based on the driving warning strategy, and controlling the vehicle to execute the target action corresponding to the driving warning strategy.

2. The method according to claim 1, wherein The monitoring of the user's driving physiological data and determining whether the user meets the condition for continuing to drive based on the driving physiological data includes: Monitoring the user's heart rate data, the user's blood pressure data, and the user's blood oxygen data; If the user's heart rate data is lower than the heart rate reference value within the first preset time, or the user's blood pressure data rises by a preset blood pressure value within the second preset time, or the user's blood pressure data is lower than the blood pressure reference value within the third preset time, or the user's blood oxygen data is lower than the blood oxygen reference value within the fourth preset time, it is determined that the user does not meet the condition for continuing to drive.

3. The method according to claim 1 or 2, characterized in that, The identifying the user's driving behavior data based on the in-vehicle monitoring module to generate the user's driving warning strategy based on the driving physiological data and the driving behavior data includes: When the heart rate data is lower than the heart rate reference value within the first preset time, identifying the user's steering wheel grip force and the user's driving duration; If the user's steering wheel grip force is greater than the preset grip force threshold and the user's first driving duration is greater than the first preset driving duration, it is determined that the user is in a state of fatigue driving, and the fatigue driving level is matched according to the heart rate data and the first driving duration, so as to generate the user's first driving warning strategy according to the fatigue driving level.

4. The method according to claim 1 or 2, characterized in that, The identifying the user's driving behavior data based on the in-vehicle monitoring module to generate the user's driving warning strategy based on the driving physiological data and the driving behavior data includes: When the user's blood pressure data rises by a preset blood pressure value within the second preset time, directly generating the user's second driving warning strategy based on the blood pressure data; When the user's blood pressure data is lower than the blood pressure reference value within the third preset time, identifying the user's second driving duration, and when the second driving duration is greater than the second preset driving duration, generating the user's third driving warning strategy based on the blood pressure data and the second driving duration.

5. The method according to claim 1 or 2, characterized in that, The identifying the user's driving behavior data based on the in-vehicle monitoring module to generate the user's driving warning strategy based on the driving physiological data and the driving behavior data includes: When the user's blood oxygen data is lower than the blood oxygen reference value within the fourth preset time, obtaining the altitude data of the vehicle; Generating the user's fourth driving warning strategy according to the blood oxygen data and the altitude data.

6. The method according to claim 1, characterized in that, It also includes: Real-time collecting the distance information between the user and the vehicle based on the UWB and BLE communication modules built in the smart ring; Determine whether the distance information is less than or equal to a first preset distance; If the distance information is less than or equal to the first preset distance, then control the vehicle to wake up actively; or If the distance information is less than or equal to a second preset distance, then determine whether the user is within a preset unlocking range and whether the user is in a stationary state; If the user is within the preset unlocking range and the user is in the stationary state, then control the vehicle to wake up actively.

7. A vehicle interaction device based on an intelligent ring, characterized in that, Comprising: A judgment module, configured to monitor the driving physiological data of the user based on a preset monitoring frequency, and judge whether the user meets the condition for continuing to drive based on the driving physiological data; A generation module, configured to, if the user does not meet the condition for continuing to drive, identify the driving behavior data of the user based on a monitoring module in the vehicle, so as to generate a driving warning strategy for the user based on the driving physiological data and the driving behavior data; A warning module, configured to give a warning reminder to the user based on the driving warning strategy, and control the vehicle to execute a target action corresponding to the driving warning strategy.

8. The device according to claim 7, characterized in that, The judgment module is specifically configured to: Monitor the heart rate data, blood pressure data and blood oxygen data of the user; If the heart rate data of the user is lower than a heart rate reference value within a first preset time, or the blood pressure data of the user rises by a preset blood pressure value within a second preset time, or the blood pressure data of the user is lower than a blood pressure reference value within a third preset time, or the blood oxygen data of the user is lower than a blood oxygen reference value within a fourth preset time, then determine that the user does not meet the condition for continuing to drive.

9. A vehicle, characterized in that, Comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the vehicle interaction method based on a smart ring according to any one of claims 1-6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to be used for implementing the vehicle interaction method based on a smart ring according to any one of claims 1-6.

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