Method and system for the automatic adjustment of a passenger seat in a vehicle

Abstract

The invention relates to a method for automatically adjusting a passenger seat (20) in a vehicle (10), comprising the following method steps: - Detection (S10) of the weight and weight distribution of the passenger by means of pressure sensors integrated into the seat surface and backrest (220) and / or detection of the body shape and posture of the passenger by means of at least one camera (250); - Providing (S20) contextual information through a GPS module and a time and date display; - Analyzing (S30) the collected data by a data processing module (300) with an AI model (350) to identify patterns of usage habits; - Proactive adjustment (S40) of seat settings before the passenger enters the vehicle based on learned usage habits; - Fine adjustment (S50) of the seat settings of the passenger seat (20) in real time by control units (400) based on real-time data (280) which is forwarded to the data processing module (300) and evaluated there in real time, wherein the AI ​​model (350) is trained to estimate the height and shape of the passenger on the basis of the weight measurement and weight distribution and to generate control signals for the seat settings based on this, which are sent to the control units (400).

Description

[0001] The invention relates to a system, a method and a computer program product for automatically adjusting a passenger seat in a vehicle.

[0002] Vehicle seats are designed to offer both comfort and safety. They consist of a variety of adjustable components that allow the user to optimally adapt the seating position to their individual needs. Among the most important aspects and adjustment options is the seat position (fore / aft adjustment), which allows the seat to be moved forward or backward to comfortably reach the pedals. The seat height can be adjusted to provide better visibility of the road and instruments, as well as a comfortable leg position. The backrest tilt can be adjusted forward or backward to set the back angle for greater comfort and support.

[0003] The seat tilt function allows the entire seat surface to be tilted forward or backward to improve the seating position. The lumbar support provides adjustable support in the lower back area to help prevent back pain. The adjustable side bolsters ensure greater stability and support when cornering, especially during sporty driving. The headrest can be adjusted in height and tilt to protect the neck in the event of an impact and to increase comfort. Additionally, the seat length can be adjusted via the longitudinal seat adjustment, which is particularly beneficial for taller individuals. Seat heating and cooling enhance comfort in extreme temperatures.

[0004] In addition to the seats, the exterior mirrors, the interior rearview mirror, and the steering column are also adjustable to increase comfort and safety. Adjusting these components is necessary to accommodate the different physical characteristics of the driver and / or passengers.

[0005] Exterior mirrors are usually electrically adjustable, allowing the driver to precisely set their position. The most important adjustments are horizontal and vertical tilt, ensuring optimal visibility of the road. Many vehicles also feature heated mirrors to prevent fogging and icing, as well as an automatic dimming function to reduce glare from following vehicles.

[0006] The interior rearview mirror can be adjusted manually or automatically to provide optimal rear visibility. It can also be dimmed manually or automatically to reduce glare from the headlights of following vehicles.

[0007] The steering column is also adjustable in several directions to allow for an ergonomic driving position. The most important adjustments are the height adjustment, which moves the steering wheel up or down, and the reach adjustment, which adjusts the distance between the steering wheel and the driver. These adjustments help the driver assume a comfortable and secure grip position, thereby improving vehicle control.

[0008] The adjustability of the seats, mirrors, and steering column is particularly important to accommodate the individual physical characteristics of the occupants. These characteristics include height, weight, and arm and leg length. For example, taller people need more headroom and forward legroom, so the seat height and fore / aft adjustment must be adjusted accordingly. People with shorter legs need to move the seat closer to the pedals, while those with longer legs need more legroom. Arm length affects the steering wheel position, as people with longer arms need to adjust the steering wheel further forward and higher to achieve a comfortable and secure grip. Weight also influences seat settings, especially regarding support and comfort, as heavier individuals may require firmer support.

[0009] These functions are adjusted via mechanical, electrical, or touchscreen controls. Mechanical controls are often located on the side of the seat, while electrical controls, powered by electric motors, allow for more precise adjustments. Some modern vehicles offer the option of adjusting the seats, exterior mirrors, interior rearview mirror, and steering column via a central touchscreen.

[0010] A key feature of modern vehicles is the so-called memory function, which allows individual settings to be saved for different users. These individual settings (e.g., seat position, mirror position) are stored on the vehicle key or in an app installed on a mobile phone, for example. When the user unlocks the vehicle, the saved settings are automatically recalled and the adjustable elements are adjusted accordingly.

[0011] However, new passengers using the vehicle for the first time do not yet benefit from the memory function. This presents several challenges. A new passenger has to manually adjust all the settings, which can be time-consuming and inconvenient. Furthermore, the previous passenger may have been of a very different height, making it difficult for the new passenger to get in. For example, the seat might be positioned so close to the dashboard that the distance is too small for the new passenger.

[0012] Another problem is that the passenger doesn't always adjust the seat according to recommended safety standards. This can lead to dangerous situations. For example, if the distance between the head and the dashboard is too small, there is a risk that the airbag will deploy too close to the passenger's head in an accident and cause injury.

[0013] Finally, there are comfort issues arising from the duration of the adjustment process. Since the adjustment speed of seats and other elements is limited, it can take some time to reach the desired position. This is often perceived as unpleasant, especially if multiple adjustments are required.

[0014] US Patent 2018 / 0345889A1 discloses a system and method for predicting a desired position or setting of one or more vehicle controls, such as a seat, steering wheel, or rearview mirror. A user's position or setting preferences can be learned over time by measuring data on the position or setting of the controls.

[0015] CN 1 07 089 170 A describes an intelligent seating system that uses sensors and a processing unit to recognize the posture and habits of a seated person and automatically adjusts the seat and backrest support. Movements such as leaning back or standing up are detected, and individual sitting patterns are stored.

[0016] DE 10 2017 208 388 A1 discloses a method for controlling a vehicle seat, wherein settings of parts of the vehicle seat are dynamically adjusted depending on personal parameters of the person sitting in the seat in order to make the person's sitting posture as favorable as possible from a biomechanical point of view.

[0017] The object of the present invention is to optimize the automatic setting and adjustment of a passenger seat and other operating devices such as air conditioning, seat heating, sun protection and infotainment in a vehicle in order to increase the comfort and safety of the passenger through user-specific adjustments to individual needs and circumstances.

[0018] This problem is solved according to the invention with respect to a method by the features of claim 1, with respect to a system by the features of claim 8, and with respect to a computer program product by the features of claim 14. The further claims relate to preferred embodiments of the invention.

[0019] The system according to the invention for the automatic adjustment of a passenger seat in a vehicle uses a combination of sensors, machine learning, and control units to maximize passenger comfort and safety. It precisely and in real time acquires the passenger's physical parameters to enable optimal ergonomic adjustment of the passenger seat and other vehicle components in real time.

[0020] Furthermore, the system continuously learns through the analysis and evaluation of usage data and proactively adjusts the settings to the individual needs of the user before they enter the vehicle. This ensures an ergonomically optimal seating position, reduces fatigue and discomfort during the journey, and increases safety by guaranteeing the ideal position for airbag activation and seatbelt use.

[0021] Furthermore, the system enables a personalized environment through user-specific adjustment of comfort functions such as air conditioning, which meets the individual needs and preferences of the passenger and offers them an optimally adapted and comfortable ride without manual intervention.

[0022] According to a first aspect, the invention provides a method for automatically adjusting a passenger seat in a vehicle. The method comprises the following steps: - Detecting the weight and weight distribution of the passenger using pressure sensors integrated into the seat and backrest and / or detecting the body shape and posture of the passenger using at least one camera, - Providing contextual information through a GPS module and a time and date display; - Analyzing the collected data using a data processing module with an AI model to identify patterns of usage habits; - Proactively adjusting seat settings before the passenger gets in, based on learned usage habits; - Fine-tuning of the passenger seat settings in real time by control units based on real-time data captured by the pressure sensors and / or camera after the passenger has taken a seat in the passenger seat, which is forwarded to the data processing module and evaluated there in real time, whereby the AI ​​model is trained to estimate the passenger's height and body shape based on weight measurement and weight distribution and to generate control signals for the seat settings based on this, which are sent to the control units.

[0023] In a further training course, the parameters for the seat setting are to be continuously adapted and optimized through machine learning and with the inclusion of manual adjustments by the passenger.

[0024] In an advantageous embodiment, it is provided that the captured contextual information from GPS data, time and date is used to recognize and predict typical usage patterns.

[0025] In an advantageous embodiment, the measurement data from the pressure sensors and the visual information from the cameras are combined to achieve a precise and ergonomically optimal seating position.

[0026] In another embodiment, it is provided that the passenger's posture is continuously monitored during the journey and the seat settings are dynamically adjusted.

[0027] Advantageously, in addition to the seat settings, comfort functions such as air conditioning, seat heating, sun protection and infotainment can also be customized to the user.

[0028] In a further development, it is planned that the AI ​​model will continuously adapt and optimize a corresponding user profile when the physical characteristics of the passenger change, such as weight gain over time.

[0029] According to a second aspect, the invention provides a system for the automatic adjustment of a passenger seat in a vehicle. The system comprises a sensor module with a GPS module, a time and date display, pressure sensors for detecting the weight and weight distribution of the passenger, and / or at least one camera for detecting the passenger's body shape and posture; a data processing module with an AI model, wherein the AI ​​model analyzes the data acquired by the GPS module, the time and date display, the pressure sensors, and the camera to recognize patterns of usage habits, and wherein the AI ​​model is trained to estimate the passenger's height and body shape based on real-time weight measurement and weight distribution data and, based on this, to generate control signals for the seat settings in real time.Control units for receiving control signals from the data processing module to automatically adjust the passenger seat position, backrest angle, seat height, and side bolsters; a user interface for manual adjustment of the seat settings by the passenger; and a database for storing training data sets containing historical passenger profiles and associated seat settings. The system proactively adjusts the seat before the passenger enters the vehicle based on learned usage patterns.

[0030] In a further training course, it is planned that the GPS module and the time and date display will provide contextual information that can be used to recognize and predict typical usage patterns.

[0031] In an advantageous embodiment, the measurement data from the pressure sensors and the visual information from the cameras are combined to achieve a precise and ergonomically optimal seating position.

[0032] In another embodiment, the AI ​​model is designed to continuously learn and proactively adapt the seat settings in real time to the individual needs of the passenger using artificial intelligence algorithms such as neural networks and machine learning methods.

[0033] Advantageously, the control units can also control and adjust user-specific comfort functions such as air conditioning, seat heating, sun protection and infotainment.

[0034] In particular, the camera is located on the door, the A-pillar, the headliner or the instrument panel.

[0035] According to a third aspect, the invention provides a computer program product with an executable program code that is configured to perform the method according to the second aspect when executed.

[0036] The invention will now be explained in more detail with reference to an embodiment shown in the drawing.

[0037] It shows: Fig. 1 a block diagram to illustrate an embodiment of a system according to the invention; Fig. 2 a flowchart to explain the individual process steps of a process according to the invention, Fig. 3 a block diagram of a computer program product according to an embodiment of the third aspect of the invention.

[0038] Additional features, aspects and advantages of the invention or its embodiments become apparent from the detailed description in conjunction with the claims.

[0039] The present invention enables ergonomic personalization of the passenger seat settings for a passenger who typically does not possess a vehicle key with a memory function. This personalization is based, firstly, on the passenger's learned usage habits and, secondly, on the real-time measurement of the passenger's physical characteristics during the actual entry process.

[0040] The recognition of the passenger's intention is based on learned and recurring behavior. This is achieved using data from sensors in the vehicle, such as GPS and the time and date display.

[0041] The entry process typically takes only a few seconds. The passenger opens the door, leans on the seat for support, and then slowly lowers themselves into the passenger seat, which is particularly relevant in sports cars with low entry points. The goal is to achieve a near-perfect ergonomic adjustment of the passenger seat automatically and without any further action from the passenger within this short timeframe.

[0042] One application example is picking up a child from school. School typically only takes place on weekdays and not on weekends. A control unit in the vehicle is able to distinguish between weekdays and weekends. This control unit uses the built-in GPS to know the same, or nearly the same, location where the vehicle regularly stops to let the child in. The control unit also knows the approximate time the child is usually picked up, based on the day of the week. With this information, the vehicle's control unit can recognize that the vehicle is on its way to the school to pick up the child.

[0043] Even while driving with the passenger seat unoccupied, the system according to the invention can proactively make presets based on the assumption that the schoolchild will be picked up in approximately five minutes, since the vehicle is on its way to school at the appropriate time. The control unit can then adjust the seat position, seat temperature, and air conditioning to the expected passenger (the child).

[0044] If an adult with a height of, for example, 1.85 m has previously exited the vehicle and the system expects a 10-year-old child to now enter, the front passenger seat can be proactively raised to the child's height.

[0045] If the route to a different destination suddenly changes during the journey, for example to pick up a partner from work, the system reacts automatically and adjusts the settings for that person accordingly.

[0046] Fig. Figure 1 shows a system 100 according to the invention for the automatic adjustment of a passenger seat 20 in a vehicle 10. The system 100 comprises a sensor module 200, a data processing module 300 with an AI model 350, control units 400, a user interface 500, communication modules 550, and a database 700. The sensor module 200, the data processing module 300, and the control units 400 can each be equipped with a memory unit and / or a processor.

[0047] In the context of the invention, a "module" is defined as a self-contained, specialized unit of software and / or hardware components. A module is designed to perform a specific function or task and is independent and self-contained; that is, it accepts specific inputs, performs internal processing, and then delivers specific outputs or results. A module can communicate with other modules or components via interfaces. These interfaces determine how data or commands are input into the module and how results or information are output.

[0048] In the context of the invention, a "processor" can be, for example, a machine or an electronic circuit. A processor can, in particular, be a central processing unit (CPU), a microprocessor, or a microcontroller, such as an application-specific integrated circuit or a digital signal processor, optionally in combination with a memory unit for storing program instructions. A processor can also be a virtualized processor, a virtual machine, or a soft CPU. It can, for example, also be a programmable processor equipped with configuration steps for executing the method according to the invention, or configured with configuration steps such that the programmable processor implements the features of the method, the modules, or other aspects and / or partial aspects of the invention.In particular, the processor can contain highly parallel computing units and powerful graphics modules.

[0049] In the context of the invention, a "storage unit" or "storage module" and the like can refer, for example, to volatile memory in the form of random access memory (RAM), permanent storage such as a hard drive or data carrier, or, for example, a replaceable storage module. The storage module can also be a cloud storage solution.

[0050] In particular, the Data Processing Module 300 and the Database 700 can be integrated into a cloud computing infrastructure. A cloud computing infrastructure offers the ability to scale resources up or down as needed, allowing computing power, storage space, or network resources to be easily adapted to changing requirements. This scalability enables cost optimization and efficient resource allocation without large investments in hardware. Furthermore, users can access applications and data from anywhere with internet access. Cloud computing also offers high flexibility in software deployment, enabling applications to be deployed and updated quickly and without interruption. Cryptographic encryption methods can also be used to protect the connection to the cloud computing infrastructure via a mobile network.

[0051] The sensor module 200 includes a GPS module and a time and date display for contextual information, as well as pressure sensors 220 for recording the weight and weight distribution of the passenger on the passenger seat 20. In addition, at least one camera 250 can be provided for recording the body shape and posture of the passenger for precise seat adjustment.

[0052] The GPS module and the time and date display provide important contextual information for the inventive system 100 for automatic seat adjustment. These components enable the system 100 to make precise presets not only based on physical parameters, but also on location, time, and date.

[0053] The GPS module (Global Positioning System) determines the precise geographical position of the vehicle 10. This enables the system 100 to make location-specific adjustments to the passenger seat 20 based on known locations. For example, the system 100 recognizes that the vehicle 10 is near a school from which a child is regularly picked up. In this case, the system 100 can adjust the passenger seat 20 to the child's preferred settings even before the child gets in.

[0054] The GPS module can track the route of vehicle 10 and predict who will be the next person to board. For example, if vehicle 10 regularly travels to a specific location at a specific time, system 100 can assume that it is always the same person and make appropriate adjustments.

[0055] The time and date display in the vehicle 10 also provides valuable information. For example, the system 100 can adjust the seat settings and other comfort functions depending on the time of day. For example, the system 100 can activate the seat heating in the morning or change the lighting in the vehicle 10 in the evening.

[0056] System 100 can recognize the day of the week and react accordingly. For example, System 100 can recognize that a child is only picked up from school on weekdays and therefore use different presets for weekends. System 100 can also make other presets for specific dates such as holidays or vacation periods, as user habits change during these times.

[0057] By combining GPS data with time and date information, the System 100 can very accurately predict who the next passenger will be and what settings are required for the front passenger seat 20. This context-dependent information enables the System 100 to act proactively and automatically make a user-specific adjustment to the front passenger seat 20 for the expected passenger, thus significantly improving safety and comfort through these automatic settings.

[0058] To measure the passenger's weight, a large number of pressure sensors 220 are integrated into the surface of the passenger seat 20, including the backrest, seat cushion, and side bolsters. The pressure sensors 220 are strategically positioned to enable detailed pressure measurements at various points on the passenger seat 20. The integration of the pressure sensors 220 can be seamlessly incorporated into the existing seat heating system, as these heating elements are located close to the seat surface, thus providing an ideal position for precise pressure measurements.

[0059] The pressure sensors 220 can be implemented in various technical ways. In particular, strain gauges are used, which utilize the piezoresistive effect. These sensors change their electrical resistance when they are mechanically deformed. If pressure is applied to the passenger seat 20, the shape of the strain gauge changes, resulting in a measurable change in resistance.

[0060] The pressure sensors 220 can also be designed as capacitive sensors. These sensors measure the change in electrical capacitance caused by pressure on the passenger seat 20. Changes in the distance between the plates of a capacitive sensor change the capacitance, which can be used to detect the pressure.

[0061] Another possibility is to design the 220 pressure sensors as inductive sensors. These sensors use changes in the electromagnetic field to measure pressure. A change in pressure affects the inductance of the sensor, which is then converted into a measurable electrical quantity.

[0062] The measurement data acquired through the pressure change are forwarded to the data processing module 300 and evaluated. The data processing module 300 contains a software application that derives various parameters from the measurement data. The weight distribution, and thus the passenger's height, is estimated from the pressure distribution on the seat surface of the front passenger seat 20 and the first contacted sensor area of ​​the pressure sensors 220. The sequence in which the individual sensor areas of the pressure sensors 220 are activated when the passenger sits down provides information about the passenger's posture and position.

[0063] The 250 cameras are mounted at suitable positions in the vehicle to collect detailed visual information about the passenger as soon as they enter the vehicle. The collected camera data enables the system to accurately analyze the passenger's physical characteristics, resulting in an even more personalized and comfortable seat adjustment.

[0064] The Camera 250, at least one of the 250 cameras, can be mounted on the door, A-pillar, ceiling, or dashboard, for example. These positions allow the camera to fully capture the passenger as they enter and sit down. The Camera 250 can be an ultra-wide-angle or panoramic camera, providing a large field of view. This enables complete capture of the passenger's body shape and posture, contributing to more precise seat adjustment. The Camera 250 records images and videos of the passenger to analyze their body shape, capturing various parameters such as shoulder width, leg length, and torso height. This information is crucial for the optimal adjustment of the seat cushion, backrest, and side bolsters. In addition to body shape, the System 100 also analyzes the passenger's posture, including arm and leg positions, torso tilt, and head position.An upright or bent posture requires different seating positions to achieve maximum comfort and safety. By capturing the passenger's body shape and posture, the Camera 250 contributes to a more precise and individualized seat adjustment, further enhancing comfort and safety in the vehicle.

[0065] The data processing module 300 contains an AI model 350 that analyzes the data 270 collected by the sensor module 200 from the GPS module, the time and date display, the pressure sensors 220, and the camera 250. The AI ​​model 350 recognizes patterns in the data 270 and learns the passengers' usage patterns. Furthermore, the AI ​​model 350 integrates manual adjustments via the user interface 500 and continuously adapts the user profiles.

[0066] The measurement data acquired by the pressure sensors 220 are transmitted to the data processing module 300 and evaluated there by the AI ​​model 350. The data acquired by the camera 250 are also transmitted to the data processing module 300. The AI ​​model 350 interprets the measurement data and the visual information and derives precise settings for the passenger seat 20 from them. This includes the seat height, the backrest angle, and the position of the side bolsters.

[0067] By linking the measurement data from the pressure sensors 220 with the visual information from the camera 250, the accuracy of the seat adjustment can be increased. Through the precise detection and analysis of body shape and posture, the system 100 according to the invention can ensure that the passenger sits in an ergonomically optimal position. This reduces the risk of fatigue and discomfort during the journey and simultaneously increases safety, as the ideal position for airbag activation and seatbelt fastening is provided.

[0068] In particular, the system 100 according to the invention is able to adjust the seat setting in real time if the passenger changes their posture during the journey. This is made possible by the continuous monitoring and evaluation of camera data, whereby the passenger seat 20 reacts dynamically to the movements of the passenger.

[0069] The data processing module 300 is the central module of the system 100 according to the invention for the automatic adjustment of the passenger seat 20. It contains the AI ​​(artificial intelligence) model 350, which learns from various sources and performs complex data analyses. The AI ​​model 350 uses machine learning (ML) and artificial intelligence (AI) algorithms. In particular, the AI ​​model 350 uses a neural network.

[0070] A neural network consists of neurons arranged in multiple layers and interconnected in various ways. A neuron is capable of receiving information at its input from the outside or from another neuron, evaluating it in a specific way, and then passing it on in a modified form to another neuron at its output, or outputting it as a final result. Between the input and output neurons are the so-called hidden neurons. Depending on the type of network, there can be several layers of hidden neurons. They are responsible for the transmission and processing of information. The output neurons ultimately deliver a result and transmit it to the outside world. The arrangement and interconnection of the neurons result in different types of neural networks, such as...Feedforward networks (FFN), recurrent networks (RNN), or convolutional neural networks (CNN) are all examples of neural networks. These networks can be trained using unsupervised or supervised learning.

[0071] The Convolutional Neural Network (CNN) is a specific type of artificial neural network. It has multiple convolutional layers and is well-suited for machine learning and artificial intelligence (AI) applications in the field of pattern recognition. The individual layers of the CNN are the convolutional layer, the pooling layer, and the fully connected layer. The convolutional layer is capable of recognizing and extracting individual features from the input data. In pattern and image recognition, these can be features such as lines, edges, or specific shapes. The input data is processed in the form of tensors, such as a matrix or vectors. The pooling layer, also called the subsampling layer, condenses and reduces the resolution of the recognized features using appropriate filtering functions. The reduced data volume increases the processing speed.

[0072] The neural network of AI model 350 is trained using a comprehensive training dataset 750 stored in database 700. Each training dataset 750 contains historical profiles of passengers, providing detailed information about their body characteristics and the associated passenger seat settings 20. This training data enables AI model 350 to recognize patterns and make accurate predictions about optimal seat settings.

[0073] The AI ​​model 350 uses location data (GPS), time, and date to gather contextual information. It analyzes historical data and usage patterns to predict expected seat settings. In addition, it processes real-time data 280 captured by the integrated pressure sensors 220 and the camera 250. This real-time data 280 provides detailed information about the passenger's current weight, weight distribution, and body shape.

[0074] In addition to the automatic settings, the System 100 also offers manual adjustment options via the User Interface 500, so that the passenger always has full control over the seat settings and can make adjustments as needed.

[0075] The AI ​​model's machine learning (ML) algorithm recognizes and integrates manual adjustments to the seat settings. When the passenger makes a manual adjustment, this is captured by the user interface 500 and incorporated into future automatic settings. In this way, the AI ​​model 350 continuously adapts the seat settings to the passenger's individual changes, enabling a personalized and comfortable seating position.

[0076] In addition, the AI ​​model 350 can adjust not only the seating position, but also other comfort and safety settings for air conditioning, seat heating, sun protection and infotainment for the passenger.

[0077] The control units 400 are responsible for translating the control signals sent by the data processing module 300 into specific settings. The control units 400 receive these signals from the data processing module 300, which evaluates the real-time data 280 from the pressure sensors 220 and the camera 250 and generates control signals for the control units 400. Based on these control signals, the control units 400 automatically adjust the seat position, backrest tilt, seat height, and side bolsters of the front passenger seat 20. These adjustments enable optimal adaptation of the front passenger seat to the passenger's body dimensions and ergonomic needs.

[0078] Furthermore, the control units allow for the individual control and adjustment of 400 different comfort functions. These include climate control, where the temperature and ventilation in the interior can be individually adjusted to increase comfort. The seat heating can be activated automatically and set to a comfortable temperature, especially during the colder months. The sunshades can be adjusted to prevent glare and excessive heat inside the vehicle. Infotainment systems such as the audio and video system or the navigation system can also be customized to the passenger's preferences.

[0079] The user interface 500 includes manual controls such as mechanical, electrical, or touchscreen controls for manually adjusting seat parameters. In addition, a mobile application can be used on a smartphone, allowing passengers to adjust and customize the seat position and comfort functions via their smartphone.

[0080] The communication modules 550 enable communication between the various control units 400, the pressure sensors 220, the camera 250 of the sensor module 200, and the data processing module 300. The communication links for exchanging and transmitting data between the individual modules are primarily designed as wireless communication links, e.g., as mobile communication links (e.g., 4G LTE, 5G, 6G) and / or as near-field communication links, e.g., Bluetooth. ® , Ethernet, NFC (Near Field Communication) or Wi-Fi ®Furthermore, the vehicle integrates 10 bus communication devices such as the CAN bus (Controller Area Network).

[0081] The term "database" refers to both a storage algorithm and the hardware in the form of a storage unit. In database 700, training datasets 750 containing historical data and user settings are stored to allow the AI ​​model 350 to access historical data for training purposes.

[0082] The system 100 according to the invention for the automatic adjustment of the passenger seat 20 thus uses various technical steps to achieve maximum comfort and high safety for the passenger.

[0083] Pressure sensors 220 measure the passenger's weight and weight distribution, while at least one camera 250 captures the passenger's body shape and posture. Simultaneously, GPS, time, and date provide important contextual information that is incorporated into the analysis. The AI ​​model 350 analyzes this data, recognizes patterns, and learns the usage habits of regular passengers. Furthermore, the AI ​​model 350 integrates the manual settings made by the passenger and continuously adapts the user profiles to enable increasingly precise adjustments.

[0084] Based on learned usage habits, the system according to the invention makes 100 proactive adjustments even before the passenger enters the vehicle. These presets are based on historical data and recognized usage habits of the passenger in order to offer the most comfortable and ergonomic seating position possible even before the passenger enters the vehicle.

[0085] When the passenger enters the vehicle, the system 100 refines the settings in real time using real-time data 280 from the pressure sensors 220 and the camera 250. These fine adjustments ensure that the passenger seat 20 is optimally adapted to the passenger's current body dimensions and posture.

[0086] The system 100 according to the invention continuously adapts to changes in the user and further optimizes the settings. This enables dynamic adjustment during the journey and takes into account changes in the physique or seating habits of the passenger in order to offer maximum comfort and safety in the long term.

[0087] By evaluating the pressure sensors 220, special situations can also be detected. For example, if a high force is exerted on the seat surface but only a low force on the backrest, this may indicate that the seat has been pushed too far forward.

[0088] The automatic settings include adjusting the seat height, backrest angle, headrest position, and possibly also the seat heating and ventilation. The aim is to achieve a near-optimal seating position even during the brief entry process.

[0089] Despite these advanced automatic settings, the front passenger still has the option to make manual adjustments. The manual controls remain available, allowing the passenger to further adjust the front passenger seat 20 forward or backward according to their personal preferences.

[0090] The system 100 according to the invention is designed to continuously learn through machine learning (ML). New passengers continuously train the AI ​​model 350, thereby improving accuracy and user-friendliness over time. This is achieved by collecting and analyzing data generated during vehicle use.

[0091] If the passenger manually adjusts the preset positions of the passenger seat 20 and other comfort functions, these adjustments are registered and integrated into the automatic user profile. This means the AI ​​Model 350 learns the user's manual settings and takes them into account in the future. As a result, the need for and frequency of manual adjustments by the user are minimized, since the AI ​​Model 350 can increasingly predict preferred settings.

[0092] A vehicle typically has a long service life. During this time, the physical characteristics of regular passengers in the front seat can change, for example, the weight of a child who is regularly driven to school. The system 100 according to the invention is able to detect and react to such gradual changes. It continuously adapts the user profiles so that, for example, despite an increase in weight or a change in height, it continues to recognize the same child and adjust the settings accordingly.

[0093] By continuously adapting to changes in passenger needs, the system offers a high degree of personalization. It can react to small changes in the user's requirements and optimize the settings accordingly, thereby continuously improving comfort and safety.

[0094] A practical example is a schoolchild who regularly rides in a vehicle. Over time, the child's weight increases and their height changes. The adaptive System 100 registers these changes and adjusts the seat settings so that the child remains comfortable and safe. System 10 recognizes that it is the same user and adjusts the settings accordingly, without requiring any user intervention.

[0095] In a further development, the system 100 for the automatic adjustment of a vehicle seat can be used not only for the front passenger seat 20, but also for the rear seats. This allows for individual seat adjustment for all passengers to maximize their comfort and safety.

[0096] Furthermore, the speed at which the passenger seat 20 is moved can vary depending on the pressure measured at the individual sensor areas of the passenger seat 20. If high pressure is measured, the seat can be moved more slowly to increase safety and comfort, while a faster adjustment is possible with low pressure.

[0097] Additionally, the measurement process can be stopped after the passenger seat is moved (20) to prevent unwanted changes caused by varying loads during the journey. This is particularly important during highly dynamic driving, such as on a racetrack, where sudden movements and strong accelerations can occur. Stopping the measurement process ensures that the seat settings remain stable and are not affected by driving dynamics.

[0098] In Fig. Figure 2 shows the procedure steps for automatically adjusting a passenger seat 20 in a vehicle 10.

[0099] In step S10, the weight and weight distribution of the passenger are recorded using pressure sensors integrated into the seat and backrest, and / or the body shape and posture of the passenger are recorded using at least one camera.

[0100] In step S20, contextual information is provided by a GPS module and a time and date display.

[0101] In step S30, the collected data 270 are analyzed by a data processing module with an AI model 350 to identify patterns of usage habits.

[0102] In step S40, the seat settings are proactively adjusted before the passenger gets in, based on learned usage habits.

[0103] In step S50, the seat settings of the passenger seat 20 are fine-tuned in real time by control units 400 based on real-time data 280. The real-time data 280 is acquired by the pressure sensors 220 and / or the camera 250 after the passenger has taken a seat in the passenger seat 20 and is forwarded to the data processing module 300, where it is evaluated in real time. The AI ​​model 350 is trained to estimate the passenger's height and body shape based on weight measurements and weight distribution, and to generate control signals for the seat settings based on this estimate, which are sent to the control units 400.

[0104] Fig. Figure 3 schematically represents a computer program product 900 comprising an executable program code 950 configured to perform the method according to the second aspect of the present invention.

[0105] The system according to the invention for the automatic adjustment of a passenger seat in a vehicle uses a combination of sensors, machine learning, and control units to maximize passenger comfort and safety. It precisely and in real time acquires the passenger's physical parameters to enable optimal ergonomic adjustment of the passenger seat and other vehicle components in real time.

[0106] Furthermore, the system continuously learns through the analysis and evaluation of usage data and proactively adjusts the settings to the individual needs of the passenger before they enter the vehicle. This ensures an ergonomically optimal seating position, reduces fatigue and discomfort during the journey, and increases safety by guaranteeing the ideal position for airbag activation and seatbelt use.

[0107] Furthermore, the system enables a personalized environment through user-specific adjustment of comfort functions such as air conditioning, which meets the individual needs and preferences of the passenger and offers them an optimally adapted and comfortable ride without manual intervention. Reference sign 10 vehicles 20 Passenger seat 100 System 200 sensor modules 220 pressure sensor 250 camera 270 data 280 real-time data 300 Data processing module 350 AI model 400 control unit 500 User Interface 700 database 750 training data set 900 computer program product 950 program code

Claims

[1] Method for automatically adjusting a passenger seat (20) in a vehicle (10), comprising the following steps: - Detection (S10) of the weight and weight distribution of the passenger by means of pressure sensors integrated into the seat surface and backrest (220) and / or detection of the body shape and posture of the passenger by means of at least one camera (250); - Providing (S20) contextual information through a GPS module and a time and date display; - Analyzing (S30) the collected data (270) by a data processing module (300) with an AI model (350) to identify patterns of usage habits; - Proactive adjustment (S40) of seat settings before the passenger enters the vehicle based on learned usage habits; - Fine adjustment (S50) of the seat settings of the passenger seat (20) in real time by control units (400) based on real-time data (280) acquired by the pressure sensors (220) and / or the camera (250) after the passenger has taken a seat in the passenger seat (20), and which is forwarded to the data processing module (300) and evaluated there in real time, wherein the AI ​​model (350) is trained to estimate the height and shape of the passenger based on the weight measurement and weight distribution and to generate control signals for the seat settings based on this, which are sent to the control units (400). [2] Method according to claim 1, wherein the parameters for the seat setting are continuously adapted and optimized by machine learning and including manual adjustments by the passenger. [3] Method according to claim 1 or 2, wherein the captured context information from GPS data, time and date is used to detect and predict typical usage patterns. [4] Method according to one of the preceding claims, wherein the measurement data of the pressure sensors (220) and the visual information of the camera (250) are combined to achieve a precise and ergonomically optimal seating position. [5] Method according to any of the preceding claims, wherein the posture of the passenger is continuously monitored during the journey and the seat settings are dynamically adjusted. [6] Method according to one of the preceding claims, wherein in addition to the seat settings, comfort functions such as air conditioning, seat heating, sun protection and infotainment are also adapted to the user. [7] Method according to one of the preceding claims, wherein the AI ​​model (350) continuously adapts and optimizes an associated user profile when the physical characteristics of the passenger change, such as weight gain over time. [8] System (100) for automatically adjusting a passenger seat (20) in a vehicle (10), comprising a sensor module (200) with a GPS module, a time and date display, pressure sensors (220) for detecting the weight and weight distribution of the passenger and / or at least one camera (250) for detecting the body shape and posture of the passenger; a data processing module (300) with an AI model (350), wherein the AI ​​model (350) analyzes the data (270) acquired by the GPS module, the time and date display, the pressure sensors (220) and the camera (250) to recognize patterns of usage habits, and wherein the AI ​​model (350) is trained to estimate the height and body shape of the passenger based on real-time data (280) on weight measurement and weight distribution and to generate control signals for the seat settings in real time based on these estimates;Control units (400) for receiving control signals from the data processing module (300) to automatically adjust the seat position, backrest tilt, seat height, and side bolsters of the front passenger seat (20); a user interface (500) for manual adjustment of the seat settings by the front passenger; and a database (700) for storing training data sets (750) containing historical profiles of front passengers and associated seat settings, wherein the system (100) proactively adjusts the seat before the front passenger enters the vehicle based on learned usage habits. [9] System (100) according to claim 8, wherein the GPS module and the time and date display provide contextual information that is used to detect and predict typical usage patterns. [10] System (100) according to claim 8 or 9, wherein the measurement data of the pressure sensors (220) and the visual information of the camera (250) are combined to achieve a precise and ergonomically optimal seating position. [11] System (100) according to any of the preceding claims 8 to 10, wherein the AI ​​model (350) continuously learns and proactively and in real time adapts the seat settings to the individual needs of the passenger using artificial intelligence algorithms such as neural networks and machine learning methods. [12] System (100) according to any of the preceding claims 8 to 11, wherein the control units (400) can additionally control and adapt comfort functions such as air conditioning, seat heating, sun protection and infotainment in a user-specific manner. [13] System (100) according to any one of the preceding claims 8 to 12, wherein the camera (250) is arranged on the door, the A-pillar, the headliner or the instrument panel. [14] Computer program product (900) comprising an executable program code (950) configured to perform the method according to any one of claims 1 to 7 when executed.

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