Vehicle adaptive control method and device

Abstract

The invention provides a vehicle self-adaptive control method and device, relates to the technical field of vehicle control, and automatically triggers a vehicle to enter a meditation control mode by monitoring that at least one of target vehicle operation data and target user biological characteristic data meets a meditation triggering condition, initiatively intervenes in an abnormal early stage, and avoids risk accumulation. Moreover, non-intrusive guidance is output by driving a preset execution mechanism of the vehicle, and driving operation and meditation guidance are synchronously fused, so that the user gradually transits from a bad driving state to a relaxed positive state on the premise of not dispersing the attention of a road. The physical and mental pressure can be effectively relieved, the driving safety can be improved, and the problem of conflict between meditation intervention and driving is solved fundamentally.

Description

Technical Field

[0001] This invention relates to the field of vehicle control technology, and in particular to a vehicle adaptive control method and device. Background Technology

[0002] With the rapid development of the automotive industry and people's increasing focus on driving experience and safety, the functions of in-vehicle systems are constantly evolving. In the current technological context, traditional in-vehicle system solutions mainly focus on providing passive entertainment functions, such as playing music and videos and providing navigation guidance. However, during driving, drivers may face various high-stress scenarios, such as traffic congestion, complex road conditions, and being in a hurry. Traditional in-vehicle systems, lacking active intervention mechanisms, cannot respond promptly to changes in the driver's psychological state, leading to the accumulation of driving risks in high-stress scenarios.

[0003] Meanwhile, meditation apps are gaining popularity in daily life, with people hoping to relieve stress and relax their minds and bodies through meditation. However, existing meditation apps are severely incompatible with driving scenarios. On the one hand, these apps typically rely on manual operation for activation and control, while drivers need to maintain a high level of concentration on the road while driving. Manually operating the meditation app will distract them, conflicting with driving tasks and easily leading to safety hazards. On the other hand, common meditation methods, such as meditation with eyes closed, are completely impractical in driving scenarios, causing drivers to lose observation of road conditions and seriously endangering driving safety.

[0004] From a technical standpoint, DMS (Driver Monitoring System) can only issue warnings for dangerous states such as drowsiness or prolonged eye closure; it lacks proactive intervention capabilities and cannot prevent accidents in advance. Therefore, providing drivers with a safe, adaptive, and non-intrusive in-vehicle mindfulness meditation solution to actively intervene in their mental and physical state is a pressing technical problem that needs to be solved. Summary of the Invention

[0005] The purpose of this invention is to provide a vehicle adaptive control method and device that can achieve non-invasive meditation guidance, thereby fundamentally solving the problem of conflict between intervention and driving.

[0006] In a first aspect, the present invention provides a vehicle adaptive control method, the method comprising: monitoring vehicle operation data of a target vehicle and biometric data of a target user driving the target vehicle; triggering the target vehicle to enter a meditation control mode when a feature parameter of at least one of the vehicle operation data and biometric data meets a preset meditation trigger condition; generating meditation guidance information for the feature parameter; and driving a preset actuator of the target vehicle based on the meditation guidance information to guide the target user into a meditation scheme within the meditation control mode.

[0007] In conjunction with the first aspect, the present invention also provides a first implementation of the first aspect, wherein the step of triggering a target vehicle to enter a meditation control mode includes: determining the driving scenario of the target vehicle based on characteristic parameters of vehicle operation data and / or characteristic parameters of biometric data; wherein the driving scenario includes a stress driving scenario and a fatigue driving scenario; and when the driving scenario satisfies any pre-configured trigger scenario, triggering the target vehicle to enter the corresponding meditation control mode.

[0008] In conjunction with the first aspect, this embodiment of the invention also provides a second implementation of the first aspect, wherein the step of triggering the target vehicle to enter the corresponding meditation control mode includes: responding to a mode entry request indicated by the target user and triggering the target vehicle to enter the meditation control mode; or, automatically triggering entry into the meditation control mode based on biometric data.

[0009] In conjunction with the first aspect, this embodiment of the invention also provides a third implementation of the first aspect, wherein the vehicle operation data includes at least one or more of the following data: operating speed parameters, position parameters, steering angle parameters, and environmental parameters; the step of determining the driving scenario of the target vehicle based on the characteristic parameters of the vehicle operation data includes: determining the target transition section of the target vehicle based on the operating speed parameters and position parameters of the target vehicle; and determining the driving scenario of the target vehicle based on the target transition section.

[0010] In conjunction with the first aspect, this invention also provides a fourth implementation of the first aspect, wherein the step of determining the driving scenario of the target vehicle based on the characteristic parameters of the biometric data includes: determining the driving state of the target user based on the biometric data; the driving state includes stress state and fatigue state; and determining the driving scenario of the target vehicle based on the driving state.

[0011] In conjunction with the first aspect, this invention also provides a fifth implementation of the first aspect, wherein the step of generating meditation guidance information for feature parameters includes: determining the meditation type corresponding to the target vehicle based on the meditation triggering conditions satisfied by the feature parameters; and generating meditation guidance information for the target vehicle based on the meditation type.

[0012] In conjunction with the first aspect, this invention also provides a sixth implementation of the first aspect, wherein the preset actuator of the target vehicle includes an in-vehicle audio unit, a minimalist visual module, an ambient lighting module, a seat actuator, and a steering wheel control mechanism; the step of driving and controlling the preset actuator of the target vehicle based on meditation guidance information to guide the target user into a meditation scheme in the meditation control mode includes: generating a meditation interaction mode of the preset actuator based on the meditation guidance information; determining the time parameter for the target vehicle to enter the meditation control mode according to vehicle operation data; and driving and controlling the corresponding actuator according to the meditation interaction mode according to the time parameter to guide the target user into a meditation scheme in the meditation control mode.

[0013] In conjunction with the first aspect, this invention also provides a seventh implementation of the first aspect, wherein the step of monitoring the biometric data of a target user driving a target vehicle includes: responding to a driving action signal from a preset target device acting on the target vehicle by the target user; determining the biometric data of the target user based on the driving action signal; wherein the preset target device includes the steering wheel and seat of the target vehicle, and the biometric data includes at least one of the following: heart rate, skin conductance response, and respiratory status.

[0014] In conjunction with the first aspect, this invention also provides an eighth implementation of the first aspect, wherein the preset target device further includes a wearable device, the wearable device being matched with the target vehicle; the method further includes: acquiring monitoring data from the wearable device, and determining the biometric data of the target user based on the monitoring data.

[0015] Secondly, embodiments of the present invention provide a vehicle adaptive control device, comprising: a data monitoring module for monitoring vehicle operation data of a target vehicle and biometric data of a target user driving the target vehicle; an execution module for triggering the target vehicle to enter a meditation control mode when a feature parameter of at least one of the vehicle operation data and biometric data meets a preset meditation trigger condition; and a control module for generating meditation guidance information for the feature parameters and, based on the meditation guidance information, driving and controlling a preset actuator of the target vehicle to guide the target user into a meditation scheme within the meditation control mode.

[0016] The embodiments of this invention bring the following beneficial effects: This invention provides a vehicle adaptive control method and device that automatically triggers the vehicle to enter a meditation control mode by monitoring at least one of the target vehicle's operating data and the target user's biometric data to meet a meditation trigger condition. This proactively intervenes in abnormalities at an early stage, preventing risk accumulation. Furthermore, by outputting non-intrusive guidance through a preset actuator driving the vehicle, driving operation and meditation guidance are synchronously integrated, allowing the user to gradually transition from a poor driving state to a focused and relaxed mindful state without distracting from the road. This not only effectively relieves mental and physical stress but also improves driving safety, fundamentally solving the problem of conflict between meditation intervention and driving.

[0017] Other features and advantages of the invention will be set forth in the following description, or some features and advantages may be inferred from the description or determined without doubt, or may be learned by practicing the techniques described above.

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 A flowchart of a vehicle adaptive control method provided in an embodiment of the present invention; Figure 2 A flowchart of another vehicle adaptive control method provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a vehicle adaptive control device provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0022] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0023] This invention provides a vehicle adaptive control method and device that can achieve non-invasive meditation guidance, fundamentally solving the problem of conflict between intervention and driving.

[0024] To facilitate understanding, a vehicle adaptive control method provided in an embodiment of the present invention will first be described. Figure 1 A flowchart of an embodiment of the present invention is shown, with reference to Figure 1 The method includes the following steps: Step S102: Monitor the vehicle operation data of the target vehicle and the biometric data of the target user driving the target vehicle.

[0025] The target vehicle can be any type of motor vehicle, such as a sedan or a truck. Vehicle operation data includes objective data reflecting the real-time driving status, operational behavior, and environmental interactions of the target vehicle, used to indirectly determine the driver's driving state (e.g., whether they are agitated or fatigued). The target user is the intervention object of the meditation control mode in this embodiment of the invention. In one implementation, it is the driver currently driving the target vehicle. By monitoring their biometric data, the psychological or physical state of the target user (e.g., stress level, fatigue level) is directly determined.

[0026] In summary, this invention, through dual monitoring of the aforementioned data, intelligently determines the timing and method of providing mindfulness intervention, enabling adaptive triggering and execution of the meditation mode. This invention constructs a closed-loop optimization mechanism based on physiological feedback data, without relying on user-initiated activation, thereby improving driving safety and the driving experience.

[0027] Step S104: When the characteristic parameters of at least one of the vehicle operation data and biometric data meet the preset meditation trigger conditions, the target vehicle is triggered to enter the meditation control mode.

[0028] By simultaneously monitoring two types of data—vehicle status (i.e., the vehicle operation data of the target vehicle) and driver physiological characteristics (i.e., the biometric data of the target user)—potential decision-making triggers can be comprehensively captured. In some scenarios, abnormal user states may only manifest in a single dimension; for example, a novice driver's heart rate may suddenly increase due to nervousness, or a driver may suddenly swerve due to unexpected road conditions. This invention allows any one of these criteria to be met as a trigger condition for the meditation control mode, ensuring proactive intervention at an early stage when the target user may exhibit psychological or operational abnormalities, thus preventing risk accumulation.

[0029] Furthermore, this embodiment of the invention also verifies abnormal states based on dual data simultaneously to cover more potential risk scenarios. For example, it can determine that the user needs meditation guidance in response to sudden braking and increased heart rate, and then directly alleviate the driver's tension through breathing regulation guidance in the subsequent meditation control mode to improve subsequent driving operations. Furthermore, it can also monitor when lane departure and fatigue blinking occur simultaneously in the two data sets, and provide corresponding meditation guidance through seat vibration reminders and breathing focus guidance. This ensures that the driver can regain attention and avoid further lane departure; it also has a fatigue-relieving effect to reduce subsequent operational errors.

[0030] In summary, regardless of whether it is a single operational abnormality, a single physiological abnormality, or a dual abnormality of both physiological and operational aspects, the embodiments of the present invention adaptively trigger the meditation scheme. For example, based on the data type, different meditation types are determined regarding different dimensions such as muscle relaxation, breathing regulation, and focus recovery, covering mainstream adverse driving states such as irritability, anxiety, fatigue, and distraction.

[0031] Step S106: Generate meditation guidance information for the feature parameters. Based on the meditation guidance information, drive the preset actuator of the target vehicle to guide the target user into the meditation scheme of the meditation control mode.

[0032] When the target vehicle enters meditation control mode, meditation guidance information is generated based on relevant characteristic parameters to determine the guidance method and content. Furthermore, the actuators of the target vehicle are driven and controlled to guide the target user's meditation, enabling proactive intervention based on monitoring data.

[0033] The meditation guidance information is used to indicate a set of meditation intervention instructions adapted to the driver's state and the current driving scenario, which can include two dimensions: content instructions and execution rules. The preset execution mechanism is a hardware device pre-installed on the target vehicle that can be driven and controlled by the system. In this embodiment of the invention, it covers multiple sensory dimensions such as hearing, touch, vision, and smell. Correspondingly, this embodiment of the invention can determine a corresponding meditation control mode including different combinations of touch, audio, and vision according to the driving scenario (such as vehicle speed and road conditions), so as to output meditation guidance adapted to the driver's state and the current driving scenario through vehicle hardware (speakers, seats, ambient lights, etc.) without affecting the driver's attention to the road, ultimately relieving stress, fatigue, and other adverse states. In one implementation, if it is determined that the user's heart rate is too high and the target vehicle is in congested traffic, one of the following can be generated: 1. Focused breathing guidance, such as 'Follow the seat vibration, inhale for 4 seconds, exhale for 6 seconds'; 2. Scenario-related prompts, such as 'Feel the vehicle idling smoothly, accept the current congestion'. To address issues like steering wheel wobbling and excessive grip force, muscle relaxation prompts can be generated, such as "Slowly release the steering wheel and feel the contact between your palms and the wheel." Safety constraints can be set for the prompts, such as a speech rate ≤120 words / minute, a single sentence ≤8 words, and disabling commands involving closing eyes / visual imagery.

[0034] In summary, target users can intuitively receive intervention instructions based on actuators during driving. Guided by corresponding vehicle actuators (such as auditory guidance—following breathing instructions and tactile feedback—synchronous vibration), they can gradually transition from an anxious / fatigued / irritable driving state to a focused and relaxed mindful state. Driving operations and meditation guidance are synchronized and do not interfere with each other. Users can naturally receive guidance during normal driving actions, transforming the meditation program into an auxiliary action integrated into the driving process. This effectively alleviates the user's negative state while ensuring driving focus, fundamentally resolving the conflict between intervention and driving. In summary, the vehicle adaptive control method provided by this invention automatically triggers the vehicle into a meditation control mode when at least one of the target vehicle's operating data and the target user's biometric data meets the meditation trigger condition. This proactive intervention at an early stage of anomalies prevents risk accumulation. Furthermore, by outputting non-intrusive guidance through a preset actuator driving the vehicle, driving operation and meditation guidance are synchronously integrated, allowing the user to gradually transition from a poor driving state to a focused and relaxed mindful state without distracting from the road. This not only effectively relieves mental and physical stress but also improves driving safety, fundamentally solving the problem of conflict between meditation intervention and driving.

[0035] Furthermore, based on the above embodiments, this invention also provides another vehicle adaptive control method. Figure 2 A flowchart of an embodiment of the present invention is shown, with reference to Figure 2 The method includes the following steps: Step S202: Monitor the vehicle operation data of the target vehicle and the biometric data of the target user driving the target vehicle.

[0036] Step S204: Determine the driving scenario of the target vehicle based on the characteristic parameters of the vehicle operation data and / or the characteristic parameters of the biometric data.

[0037] Based on the above embodiments, this invention determines the current driving scenario type of the target vehicle according to the characteristic parameters of each data point. In this invention, driving scenarios include stress driving scenarios and fatigue driving scenarios. A stress driving scenario can be determined based on the user's emotional tension (e.g., anxiety, irritability) and mental and physical stress, or further determined by combining abnormal operation or external environment (e.g., traffic congestion). A fatigue driving scenario can be determined based on the user's facial expressions or attention levels, such as when the driver's attention is scattered and their reaction time is slow due to energy depletion (e.g., long driving time, monotonous road conditions).

[0038] Correspondingly, vehicle operation data includes at least one or more of the following: operating speed parameters, position parameters, steering angle parameters, and environmental parameters. In specific implementations, operating speed parameters such as vehicle speed, acceleration (rapid acceleration / braking), gear position, and steering angle parameters can be obtained through the vehicle data bus; geographical location (GPS) parameters; and environmental parameters such as traffic congestion status (V2X / navigation data), time, weather, and in-vehicle noise levels. Furthermore, based on the target vehicle's operating speed and position parameters, the target transition segment can be determined; based on the target transition segment, the driving scenario of the target vehicle can be determined. The target transition segment is used to characterize specific road segments where the road type changes significantly, identified through analysis of the target vehicle's real-time operating speed and position parameters (combined with GPS and navigation data). Examples include transitioning from a highway to a congested urban road (corresponding to a stress driving scenario), from a main urban road to a low-speed section within a residential area (corresponding to a fatigue driving scenario), and from an open suburban road to a tunnel (corresponding to a stress driving scenario). These types of road segments are prone to causing fluctuations in driver state (such as stress and attention shifts). Based on this, the driving scenario of the target vehicle can be determined according to the corresponding feature parameters.

[0039] Furthermore, the driving status of the target user can be determined based on biometric data; and the driving scenario of the target vehicle can be determined based on the driving status. In specific implementation, it can respond to driving action signals from preset target devices applied by the target user to the target vehicle; and determine the target user's biometric data based on the driving action signals. The driving status includes stress and fatigue states; the preset target devices include the steering wheel and seat of the target vehicle; and the biometric data includes at least one of the following: heart rate, skin conductance response, and respiratory status. Specifically, when the target user grips the steering wheel (driving action signal), the capacitance change signal (reflecting skin conductivity and related to skin conductance response) integrated into the steering wheel can be collected in real time using a capacitive sensor, and the grip force signal (reflecting hand muscle tension) can be collected using a contact pressure sensor. Even when the target user rotates the steering wheel (operation command-type driving action signal), the sensors will continue to record grip force fluctuations, contact area changes, and other signals without affecting operation. When the target user is seated (driving action signal), the seat's integrated pressure sensors collect real-time signals of body pressure distribution (such as lumbar and back pressure values, reflecting posture tension) and pressure change frequency (such as unconscious slight body movements, reflecting relaxation levels). If the target user adjusts their posture (operational driving action signal), the sensors simultaneously update the pressure distribution data, capturing the muscle tension behind the posture change. Furthermore, visual recognition technology (such as in-vehicle cameras) can capture user states (such as stress and fatigue). By analyzing facial expressions, typical facial movements related to tension and fatigue can be identified, such as frowning, clenching teeth, and tight lips under stress, and drooping eyelids, yawning, and relaxed facial muscles under fatigue. Continuous monitoring for a certain period (e.g., ≥10 seconds) can serve as supplementary evidence for determining stress / fatigue states, avoiding misjudgments based on single, accidental movements. Furthermore, user states can also be determined by capturing eye movements such as blinking frequency and fixation point dispersion. For example, a blinking frequency greater than 25 times per minute can be considered eye fatigue; frequent deviations of the gaze point from the road ahead for ≥3 seconds per instance with increasing frequency can be considered inattentiveness. Furthermore, changes in head position and angle can be identified, such as a head drooping angle in a fatigued state (≥5° is considered unconscious head-down), increased frequency of head swaying indicating inattention, and head stiffness (fewer natural rotations) under pressure, to help verify the accuracy of the posture tension data collected by the seat pressure sensor. Before activating the camera's visual acquisition function, key constraints on authorized content can be set through pop-ups on the central control screen and voice prompts (clearly informing the user of the purpose of the collected data—e.g., only for driver status assessment, not for other scenarios; the scope of data collection—e.g., only facial, eye, and head posture, not involving other people or the environment inside the vehicle). Data collection can only be initiated after the user clicks "agree" or confirms authorization via voice.If the user refuses authorization, data is collected solely from the main data source, without forcibly activating the camera function. Furthermore, the raw visual data collected by the camera (such as facial images) is anonymized in real time on the vehicle. For example, algorithms remove unique identifying information (such as moles, scars, and other personalized features) from facial features, transforming the image into structured data such as facial expression feature vectors and pose angle data, avoiding the storage and transmission of raw images and reducing the risk of privacy leaks from the source.

[0040] Furthermore, the preset target device also includes a wearable device, which is matched with the target vehicle. This embodiment of the invention also acquires monitoring data from the wearable device, and based on this monitoring data, determines the biometric data of the target user. The wearable device can connect to the user's personal wearable device (such as a smartwatch or wristband) via its device interface (e.g., Bluetooth or other wireless communication technologies) to obtain more accurate physiological indicator data, serving as a supplement to the main data source and auxiliary verification data. Compared to heart rate data collected by the steering wheel capacitive sensor, data can be collected via a photoelectric heart rate sensor through wearable devices such as smartwatches, with a higher sampling frequency (e.g., 1 time / second) and more stable heart rate values. This can help correct heart rate data fluctuations caused by unstable hand contact with the steering wheel sensor, improving the accuracy of determining a heart rate increase ≥25% from the baseline (stress state). Furthermore, skin conductance activity sensors, such as those in professional sports wristbands, can accurately capture changes in skin conductivity (resolution up to 0.01μS), enabling earlier identification of stress states (e.g., when the skin conductance response value is >0.5μS, it can be determined in advance that the driver is beginning to experience tension). Some wearable devices can directly collect data such as respiratory rate and depth through chest / abdominal motion sensors or heart rate variability inference to verify respiratory data indirectly obtained by seat pressure sensors through pressure fluctuations, avoiding misjudgments of respiratory data caused by changes in posture. Similarly, raw biological data (such as raw heart rate waveforms, raw facial images, and raw skin conductance signals) can be transformed into structured data without personal identifiers through algorithms. For example, raw heart rate waveforms can be converted into average heart rate values ​​and heart rate variability indices, and facial images can be converted into facial expression feature codes (such as 'frowning = 01, yawning = 02'), removing all information that can be associated with a specific user. After data collection, anonymization can be performed in real time on the device. The processed structured data is only used for internal system driving status determination, meditation program generation, and effect evaluation; the raw data is not stored or transmitted.

[0041] Step S206: When the driving scenario meets any of the pre-configured trigger scenarios, the target vehicle is triggered to enter the corresponding meditation control mode.

[0042] The system can trigger a meditation control mode on a target vehicle by responding to a mode entry request from the target user. When any data condition satisfies a specific driving scenario, the system can initiate a mode entry request through a preset interaction method between the user and the vehicle. Upon system response, the corresponding meditation control mode will be triggered directly. For example, a preset shortcut key on the steering wheel (such as a separate button marked with a meditation icon) allows the user to initiate the request, suitable for scenarios where both hands cannot easily leave the steering wheel while driving. Users can also initiate the request via a voice wake-up phrase (such as "Hello, in-car meditation") plus a command (such as "Start meditation" or "I need to calm down"). Alternatively, a "Meditation Mode" icon or a "One-Click Meditation" button can be set on the central control screen, triggering the request upon user click, suitable for scenarios where both hands can be removed from the steering wheel, such as when the vehicle is stopped (e.g., at a red light or while parking). After a user initiates a mode entry request, the corresponding meditation control mode can be matched according to the driving scenario at the time of the request: If the user initiates the request in a congested road (stress-triggered scenario), the focused breathing + environmental acceptance combination meditation mode can be directly triggered (such as 1 minute audio guidance + seat breathing synchronized vibration); If the user initiates the request after a long drive (fatigue-triggered scenario), the mild refreshment meditation mode can be directly triggered (such as 30 seconds refreshment guidance + seat back support vibration); If the user does not specify the mode type and there are no obvious scenario characteristics (such as when the vehicle is stopped), the basic relaxation mode can be triggered by default (such as 2 minutes body scan guidance). The user can switch the mode type by voice / button.

[0043] Furthermore, it can automatically trigger the entry into meditation control mode based on biometric data. For example, heart rate increases by ≥25% from resting baseline, skin conductance (EDA) >0.5μS, heart rate variability (HRV) decreases by ≥30% (physiological indicators), or facial expressions such as "frowning + clenching teeth" lasting ≥10 seconds, or steering wheel grip strength >95th percentile (behavioral characteristics). Before automatic triggering, the system can prompt the user with minimal cognitive load (e.g., displaying a meditation icon on the HUD, gentle pulsating vibration of the seat, or a brief 3-second voice prompt, "We have detected that you are in a tense state. Would you like to begin a 1-minute breathing exercise?"). The user can confirm by voice "agree" or by pressing a button on the steering wheel. If there is no response within 5 seconds, the trigger can be automatically canceled to avoid forced intervention. Furthermore, this method is configured to trigger automatically only in scenarios that do not affect driving operations. For example, while driving, only the "pure audio + haptic" guided mode (disabling visual animation) is triggered, with a single meditation session lasting ≤90 seconds. When the vehicle is stationary, the "audio + minimalist visual" guided mode can be triggered, with the duration extended to 3-5 minutes to ensure safety as the priority.

[0044] Step S208: Determine the meditation type corresponding to the target vehicle based on the meditation triggering conditions satisfied by the feature parameters; generate meditation guidance information for the target vehicle based on the meditation type.

[0045] In conjunction with the above embodiments, meditation guidance information is a core set of instructions connecting meditation types and the executing mechanism. The guidance information includes two key categories: content instructions and execution rules, adapting to both meditation types and driving scenarios. Content instructions include voice prompts or visual cues that guide the user into a meditative state, which can be customized according to the meditation type. For example, for focused breathing meditation: generating prompts such as "Follow the seat vibration, inhale for 4 seconds, feeling the airflow enter your nasal cavity; exhale for 6 seconds, feeling the airflow leave your body," with a speech rate ≤120 words / minute and single sentences ≤8 words, and disabling "close your eyes" and "visual imagination" instructions; for mild alertness meditation: generating prompts such as "Take a deep breath, feel the fresh air awaken your body; look at the road ahead, maintain focus," with a slight awakening effect and avoiding soothing expressions; for body scan meditation: generating prompts such as "Relax your shoulders, feel the seat supporting your back; relax your hands, gently rest them on the steering wheel," guiding in the order of "shoulder and neck - hands - waist - legs," adapting to a stopped vehicle scenario. Execution rules include specifying the output duration, interaction priority, and intensity parameters of the guidance information. Output duration includes: ≤90 seconds for meditation types while driving (such as focused breathing, mild refreshment), and ≤5 minutes when the vehicle is stopped (such as body scan); Interaction priority includes: "Haptic > Audio > Minimalist Visual" (animation disabled) while driving, and "Audio + Visual + Haptic" combination can be enabled when the vehicle is stopped; Intensity parameters include: tactile vibration frequency (synchronized with breathing rhythm when focused breathing, approximately 0.2-0.3Hz), audio volume (default 20% lower than music volume to avoid harshness), and visual brightness (HUD prompt brightness ≤ 50% of normal daytime brightness).

[0046] Guidance information can be generated through the in-vehicle system's built-in pre-made audio library categorized by meditation type (such as the "Focus on Breathing" pre-made audio for stress scenarios). In regular scenarios, pre-made audio can be directly called up, with only parameters such as speech rate and volume adjusted. Personalized content can also be generated by combining TTS (text-to-speech) with real-time scenario parameters. For example, when a scenario transition is triggered (highway → traffic jam), the system can generate "Currently entering a congested section, feel the vehicle idling smoothly, and adjust your breathing according to the vibration," integrating real-time traffic information to improve scenario adaptability.

[0047] Step S210: Based on the meditation guidance information, drive the preset actuator of the target vehicle to guide the target user into the meditation scheme of the meditation control mode.

[0048] In conjunction with the above embodiments, the preset actuators of the target vehicle include auditory mechanisms (such as headrest speakers and in-vehicle audio systems), tactile mechanisms (such as seat vibrators and steering wheel vibration modules), visual mechanisms (HUD, instrument panel, ambient lighting), and olfactory mechanisms (such as in-vehicle fragrance systems). By coordinating the driving of these actuators, users can naturally enter a focused and relaxed state of mindfulness without interrupting driving. Specifically, a meditation interaction mode for the preset actuators can be generated based on meditation guidance information; the time parameters for the target vehicle to enter the meditation control mode can be determined based on vehicle operating data; and based on the time parameters, the corresponding actuators can be driven and controlled according to the meditation interaction mode to guide the target user into a meditation scheme within the meditation control mode. In practical implementation, the interaction mode covers three dimensions: actuator selection, output parameter setting, and collaborative logic definition. Based on the interaction priority rules of the guidance information ("tactile > audio > minimalist visual" while driving, and "audio + visual + tactile" when the vehicle is stopped), it can select suitable combinations from preset actuators (steering wheel, seat, audio system, HUD, ambient lighting, etc.): If the guidance information corresponds to "focused breathing meditation" (while driving): select the combination of "headrest speaker (audio) + seat vibrator (tactile) + HUD (minimalist visual)" and disable the instrument panel animation and fragrance system (to avoid visual / olfactory distraction); If the guidance information corresponds to "body scan meditation" (when the vehicle is stopped): select the combination of "car audio system (audio) + seat zone vibrator (tactile) + ambient lighting (visual) + fragrance system (optional olfactory)" to enable richer multi-sensory guidance. The output specifications of each actuator can be set according to the intensity parameters of the guidance information: such as audio parameters: speech rate ≤ 120 words / minute, single sentence ≤ 8 words, and volume ≤ 20% lower than music volume by default (e.g., the speech rate of the breathing guidance script "inhale for 4 seconds, exhale for 6 seconds" needs to be strictly controlled); tactile parameters: the seat vibration frequency is synchronized with the breathing rhythm (about 0.2-0.3Hz), vibration intensity ≤ 30% (to avoid excessive strength causing physical discomfort), and the steering wheel vibration is only used for "grip relaxation prompts" (single vibration duration ≤ 1 second); visual parameters: the HUD displays "breathing light ball" (diameter ≤ 5cm, no dynamic flashing), the ambient light color changes with the guidance rhythm (cool color for stress scenarios, warm color for fatigue scenarios), and brightness ≤ 50% of normal daytime brightness. In addition, collaborative logic can be defined, such as focused breathing meditation: when the headrest speaker plays the "inhale" command, the vibrator on the left side of the seat vibrates synchronously; when the "exhale" command is played, the vibrator on the right side of the seat vibrates synchronously, and the HUD light ball increases / decreases synchronously with the command; mild refreshing meditation: when the car audio plays the "deep breath" command, the seat back vibrates slightly upward to support (to combat fatigue and looking down), and the ambient light quickly switches from a cool color to a warm color (to enhance the sense of wakefulness).In this embodiment of the invention, the generation of interaction modes must first meet safety constraints (all interaction modes during driving disable "eye-closing commands" and complex visual animations, and visual guidance retains only minimal HUD elements, such as breathing points and progress bars), before adapting to meditation types. Even in stationary scenarios, the interaction modes control the duration of visual guidance (e.g., the dashboard progress bar animation duration for body scan meditation is ≤2 minutes) to avoid users focusing excessively on in-vehicle visual elements.

[0049] In this embodiment of the invention, the operational load of the current driving scenario is determined by vehicle operation data to ensure that the time parameters are suitable for both fragmented time and continuous scenarios without affecting driving operations. The time parameters include the duration of a single meditation session and the duration of the guidance interval, which can be updated in conjunction with real-time vehicle data. For example, if the vehicle changes from "stopped (speed = 0)" to "moving (speed > 0)" during meditation, the system can shorten the remaining meditation time to ≤90 seconds, or pause visual guidance (retaining only audio and tactile feedback); if traffic congestion eases (speed increases from <20km / h to ≥40km / h), the system will terminate the current "environmental acceptance meditation," and subsequent triggers will be set to a 1-minute duration based on "smooth traffic conditions." In one implementation, the meditation duration includes 30 seconds, 1 minute, 3 minutes, and 5 minutes (adapting to fragmented time). Meditation types include focused breathing, body scanning, emotional acceptance, brief loving-kindness meditation, sound meditation (using ambient sound), visual guidance (minimalist HUD graphics), mindful driving, etc. Guidance intensity / style includes gentle / powerful, dense / concise instructions, and whether biofeedback is incorporated. Interaction modes include pure audio, audio + haptic feedback (seat / steering wheel vibration), audio + minimalist visuals (HUD), and audio + ambient lighting. The mode can be dynamically determined based on the triggering reason, current scenario, driver's physical and mental state, and user preferences.

[0050] The system collects data in real time at a sampling frequency of 1 time per second from the start of meditation control mode, ensuring the capture of dynamic changes in indicators (such as the adjustment of breathing rhythm with guidance, and the downward trend of heart rate as relaxation occurs). After meditation, continuous monitoring can be performed (e.g., 30 seconds to 1 minute) to collect data on post-intervention stability (e.g., whether heart rate remains at a low level after meditation, and whether grip strength remains relaxed), avoiding misjudgments of effectiveness due to reliance solely on process data. Furthermore, the immediate effect of the meditation can be evaluated by analyzing indicator trends (increased heart rate variability (HRV), decreased skin activity, deeper and slower breathing, etc.). This effect data can be fed back to the decision engine to optimize future program recommendations for the user and may dynamically adjust the intensity or focus of the current meditation guidance. For example, the Meditation Effectiveness Index (MEI) is calculated as 0.4·ΔHRV + 0.3·ΔEDA + 0.3·respiratory entropy reduction rate. Meditation programs with an MEI ≥ 0.7 are stored in the personalized library and prioritized for similar scenarios. After meditation, a short voice or HUD prompt can be set to ask about the effect ("Feeling better?" - the user can respond via voice) to calibrate the system.

[0051] In summary, this invention provides an adaptive in-vehicle mindfulness meditation solution. It uses vehicle bus data, biosensors, and driving environment information to determine the driver's physical and mental state—emotions, stress, fatigue, etc.—and dynamically generates meditation guidance content adapted to the driving scenario. Non-intrusive interaction is achieved using in-vehicle audio, haptic devices, and a head-up display (HUD). Based on physiological feedback data, a closed-loop optimization mechanism is constructed to improve driving safety and the driving experience.

[0052] Furthermore, embodiments of the present invention also provide a vehicle adaptive control device. Figure 3 A schematic diagram of an embodiment of the present invention is shown, with reference to... Figure 3 The device includes: a data monitoring module 100, used to monitor the vehicle operation data of the target vehicle and the biometric data of the target user driving the target vehicle; an execution module 200, used to trigger the target vehicle to enter the meditation control mode when the characteristic parameters of at least one of the vehicle operation data and biometric data meet the preset meditation trigger conditions; and a control module 300, used to generate meditation guidance information for the characteristic parameters, and based on the meditation guidance information, to drive and control the preset actuators of the target vehicle to guide the target user into the meditation scheme of the meditation control mode.

[0053] The vehicle adaptive control device provided in this embodiment of the invention has the same implementation principle and technical effects as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0054] This invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described... Figures 1 to 2 The steps of any of the methods shown. Embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the above-described steps. Figures 1 to 2 The steps of any of the methods shown. Embodiments of the present invention also provide a structural schematic diagram of an electronic device, such as... Figure 4 The diagram shows the structure of the electronic device, which includes a processor 41 and a memory 40. The memory 40 stores computer-executable instructions that can be executed by the processor 41. The processor 41 executes the computer-executable instructions to implement the above-mentioned... Figures 1 to 2 Any of the methods shown. In Figure 4 In the illustrated embodiment, the electronic device further includes a bus 42 and a communication interface 43, wherein the processor 41, the communication interface 43, and the memory 40 are connected via the bus 42. The memory 40 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk drive. Communication between this system network element and at least one other network element is achieved through at least one communication interface 43 (which can be wired or wireless), using the Internet, wide area network, local area network, metropolitan area network, etc. Bus 42 can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, or an AMBA (Advanced Microcontroller Bus Architecture) bus. AMBA defines three types of buses: APB (Advanced Peripheral Bus), AHB (Advanced High-performance Bus), and AXI (Advanced deXtensible Interface). Bus 42 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4The diagram uses only a single double-headed arrow, but this does not imply a single bus or a single type of bus. Processor 41 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed through integrated logic circuits in the hardware of processor 41 or through software instructions. Processor 41 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor 41 reads information from the memory and, in conjunction with its hardware, completes the aforementioned tasks. Figures 1 to 2 Any of the methods shown.

[0055] The computer program product of the vehicle adaptive control method and device provided in this embodiment of the invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. Specific implementations can be found in the method embodiments, and will not be repeated here. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system described above can be referred to the corresponding process in the preceding method embodiments, and will not be repeated here. Furthermore, in the description of this embodiment of the invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0056] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Finally, it should be noted that the above embodiments are merely specific implementations of the invention, used to illustrate the technical solutions of the invention, and not to limit it. The scope of protection of the invention is not limited thereto. Although the invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in this invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this invention, and should all be covered within the scope of protection of this invention. Therefore, the scope of protection of this invention should be determined by the scope of the claims.

Claims

1. A vehicle adaptive control method, characterized in that, The method includes: The vehicle operation data of the target vehicle and the biometric data of the target user driving the target vehicle are monitored respectively. When the feature parameters of at least one of the vehicle operation data and the biometric data meet the preset meditation trigger conditions, the target vehicle is triggered to enter the meditation control mode. Generate meditation guidance information for the aforementioned feature parameters, and based on the meditation guidance information, drive the preset actuators of the target vehicle to guide the target user into a meditation scheme within the meditation control mode.

2. The method according to claim 1, characterized in that, The steps to trigger the target vehicle to enter meditation control mode include: Based on the characteristic parameters of the vehicle operation data and / or the characteristic parameters of the biometric data, the driving scenario of the target vehicle is determined; wherein, the driving scenario includes stress driving scenario and fatigue driving scenario; When the driving scenario meets any of the pre-configured trigger scenarios, the target vehicle is triggered to enter the corresponding meditation control mode.

3. The method according to claim 2, characterized in that, The steps to trigger the target vehicle to enter the corresponding meditation control mode include: In response to a mode entry request indicated by the target user, the target vehicle is triggered to enter meditation control mode; Alternatively, based on the biometric data, the user can be automatically triggered to enter a meditation control mode.

4. The method according to claim 2, characterized in that, The vehicle operation data includes at least one or more of the following: operating speed parameters, position parameters, steering angle parameters, and environmental parameters; The step of determining the driving scenario of the target vehicle based on the characteristic parameters of the vehicle operation data includes: Based on the target vehicle's operating speed and position parameters, the target transition section of the target vehicle is determined; Based on the target transition section, the driving scenario of the target vehicle is determined.

5. The method according to claim 2, characterized in that, The step of determining the driving scenario of the target vehicle based on the feature parameters of the biometric data includes: Based on the biometric data, the driving status of the target user is determined; the driving status includes stress and fatigue. Based on the driving status, the driving scenario in which the target vehicle is located is determined.

6. The method according to claim 1, characterized in that, The step of generating meditation guidance information for the aforementioned feature parameters includes: The meditation type corresponding to the target vehicle is determined based on the meditation triggering conditions satisfied by the feature parameters. Generate meditation guidance information for the target vehicle based on the meditation type.

7. The method according to claim 1, characterized in that, The preset actuators of the target vehicle include the target vehicle's auditory, tactile, visual, and olfactory mechanisms; Based on the meditation guidance information, the steps of driving the preset actuators of the target vehicle to guide the target user into the meditation control mode include: Based on the meditation guidance information, a meditation interaction mode of the preset execution mechanism is generated; Based on the vehicle operation data, determine the time parameter for the target vehicle to enter the meditation control mode; Based on the time parameters, the corresponding actuators are driven and controlled according to the meditation interaction mode to guide the target user into the meditation scheme under the meditation control mode.

8. The method according to claim 5, characterized in that, The steps for monitoring the biometric data of the target user driving the target vehicle include: Responding to the driving action signal of the target user acting on the preset target device of the target vehicle; Based on the driving action signals, the biometric data of the target user are determined; The preset target device includes the steering wheel and seat of the target vehicle, and the biometric data includes at least one of the following: heart rate, skin conductance response, and respiratory status.

9. The method according to claim 8, characterized in that, The preset target device also includes a wearable device, which is matched with the target vehicle; The method further includes: The monitoring data of the wearable device is acquired, and the biometric data of the target user is determined based on the monitoring data.

10. A vehicle adaptive control device, characterized in that, The device includes: The data monitoring module is used to monitor the vehicle operation data of the target vehicle and the biometric data of the target user driving the target vehicle. The execution module is used to trigger the target vehicle to enter the meditation control mode when the feature parameters of at least one of the vehicle operation data and the biometric data meet the preset meditation trigger conditions. The control module is used to generate meditation guidance information for the feature parameters, and based on the meditation guidance information, to drive and control the preset actuators of the target vehicle to guide the target user into the meditation scheme in the meditation control mode.

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