Method and system for evaluating vital parameters of a passenger

Abstract

The purpose of the present invention is to improve the comfort of passengers. The invention relates to a method for evaluating a vital parameter of an occupant of a vehicle (15), comprising the following steps: detecting (S1) at least one vital parameter of the occupant by means of a first measuring unit (5); -determining (S2) a vital sign parameter status category from the detected vital sign parameters; detecting (S3) a behavior of the passenger by means of a second measuring unit (7); assigning the detected behavior to a behavior state category; determining (S5) an evaluation result from a comparison of the assigned vital sign parameter state category with the assigned behavioral state category; and setting (S6) a vehicle function of the vehicle (15) as a function of the evaluation result.

Description

Technical Field

[0001] The invention relates to a method for evaluating vital parameters of an occupant, as well as a system and a motor vehicle. Background Art

[0002] People often find themselves in a different (mental) state while performing one action. This can lead to frequent discomfort or prolonged stress. The scenario described is common. You might want to read, but you can't truly concentrate. Or you might want to relax or sleep, but you can't find the right state. People often experience stress without realizing their physical or mental state. If current behavior doesn't align with their current state or mental state, they often experience discomfort without understanding why.

[0003] DE 10 2020 208722 A1 discloses a method for assisting a vehicle occupant before, during, and after a sleep break during automated driving in a vehicle.

[0004] DE 10 2019 201 695 A1 discloses a biometric sensor fusion technique for classifying the state of a vehicle occupant. Summary of the Invention

[0005] The object of the present invention is to improve the functional arrangement of a vehicle for passengers.

[0006] This object is achieved by the subject matter of the independent claims. Advantageous developments of the invention are defined by the dependent claims, the following description and the drawings.

[0007] One aspect of the present invention relates to a method for evaluating vital sign parameters of a vehicle occupant. At least one vital sign parameter of a vehicle occupant is detected using a first measurement unit. A vital sign parameter state category is determined based on the detected vital sign parameter. The occupant's behavior is detected using a second measurement unit. The detected behavior is assigned / classified into a behavior state category. An evaluation result is then determined by comparing the assigned vital sign parameter state category with an assigned behavior state category. Vehicle functions of the vehicle are set based on the evaluation result.

[0008] For example, the first measurement unit includes an electroencephalogram (EEG) device. The EEG device records voltage fluctuations on the surface of the head. These voltage fluctuations are caused by physiological processes in individual brain cells, which facilitate information processing in the brain by changing their electrical state. The voltage fluctuations have different frequencies. These frequencies can be divided into different frequency bands, so-called EEG bands. For example, the frequency bands can be divided into delta waves, theta waves, alpha waves, beta waves, and gamma waves.

[0009] In particular, at least one vital sign parameter of a passenger is the frequency of voltage fluctuations detected by an electroencephalogram (EEG) device. Based on the frequency band in which the detected vital sign parameter lies, the detected vital sign parameter can be assigned to a vital sign parameter state category. Possible vital sign parameter state categories include, for example, "relaxed," "focused," "sleep," and "stressed."

[0010] The second measuring unit for detecting the behavior of the passenger can, for example, operate according to a different functional principle than the first measuring unit. Specifically, the second measuring unit includes a camera or a time-of-flight camera. This camera (which can also be called an interior space camera) detects the passenger. The passenger performs a behavior, such as reading. By analyzing the image signal of the camera, this behavior can be identified, for example, with the help of a computing unit. The behavior can then be assigned to a behavior state category. There are various behavior state categories, such as "relaxation", "concentration", "sleep" and "stress". For example, reading can be assigned to the behavior state category "concentration". In particular, there are the same vital sign parameter state categories as the behavior state categories.

[0011] The vital sign parameter state category is compared with the behavioral state category. The evaluation result of this comparison indicates, for example, whether the assigned vital sign parameter state category is consistent with the assigned behavioral state category. For example, if the vital sign parameter state category "sleep" is assigned to the detected vital sign parameters of the passenger, and the detected behavior of the passenger is assigned to the behavioral state category "concentration", then the vital sign parameter state category is inconsistent with the behavioral state category. As a result of the evaluation, it can be determined, for example, that the passenger is in an internal state in which he or she may want to sleep. In this example, the detected reading behavior requires concentration and is therefore assigned to the behavioral state category "concentration". Therefore, the assigned vital sign parameter state category in this example is inconsistent with the assigned behavioral state category. The passenger may therefore feel stressed and / or uncomfortable.

[0012] The vehicle function to be set of the vehicle can be, for example, the brightness of the lights in the vehicle and / or the massage setting of the vehicle seat of the vehicle and / or the seat heating setting of the vehicle seat and / or the sound system setting of the vehicle. One or more vehicle functions of the vehicle can be set as needed based on the evaluation result.

[0013] Here, passengers can be supported based on their internal mental state (described by the vital sign parameter state categories). To this end, in the example mentioned above, the lights can be dimmed to allow the passenger to fall asleep. When the passenger then falls asleep, in this example, the vital sign parameter state categories match the assigned behavioral state categories. This improves the passenger's mental state because the discrepancy between the passenger's internal state and their behavior is eliminated.

[0014] However, it's also possible to support the passenger's behavior. In this case, vehicle functions can be configured to adapt the passenger's inner state to their behavior. In the example already mentioned, this could involve increasing the brightness of the vehicle lights. This also eliminates the discrepancy between the passenger's inner state and their behavior. This also improves the passenger's mental state, making them feel more comfortable and less stressed.

[0015] In one embodiment, the status significance of the assigned vital sign parameter status category is determined based on the measured value of the detected vital sign parameter, and the evaluation result is determined accordingly.

[0016] Specifically, the state significance can be referred to as confidence. For example, if the frequency range of the voltage fluctuation measured by means of an electroencephalogram (EEG) device is within the boundary range between two different frequency bands, the state significance is lower than when the frequency is not within the boundary range. For example, delta waves have a frequency between 0.1 and <4 Hz. Delta waves are particularly typical of the deep sleep stage. Theta waves are within the frequency range between 4 and 8 Hz. Theta waves are particularly common when drowsy. For example, if the detected frequency is 4 Hz, the confidence of the theta wave can be set to low. The confidence level can, for example, be between 0% and 100%.

[0017] Thus, vehicle functions can be configured as needed, as the evaluation results are determined based on the severity of the state. For example, if the determined frequency is 4 Hz and a passenger needs to be assisted in reading, which corresponds to the behavioral state category "concentration," then in this example, it would be particularly advantageous to set the brightness of the vehicle lights higher than if the determined frequency were in the frequency range of 7 to 8 Hz.

[0018] In one embodiment, at least one additional vital sign parameter is determined. A vital sign parameter state category is determined based on the additional vital sign parameter. This allows for a better determination of the passenger's internal state. For example, the additional vital sign parameter can be used to verify the measured value of the detected first vital sign parameter.

[0019] For example, the further vital sign parameter is the electrical conductivity of the passenger's skin, thereby making it possible to detect sweat, the passenger's pulse or the passenger's pupil dilation. If necessary, the further vital sign parameter is detected using a further measuring unit.

[0020] A first detected vital sign parameter can be assigned to a vital sign parameter status category based on its measured value. At least one additional vital sign parameter can be determined, at least temporarily and simultaneously, and also assigned to a vital sign parameter status category. Optionally, the respectively assigned vital sign parameter status categories coincide. A high status significance can then be determined.

[0021] Artificial intelligence (AI), in particular neural networks, can be used to improve the assignment of measured values ​​of detected vital sign parameters. To this end, the AI ​​can be trained, in particular using a large amount of vehicle data and measured values ​​from the measuring units. This ensures that the determined state categories of the vital sign parameters correspond to the inherent state of the passenger.

[0022] In one embodiment, for detecting a behavior, sensor data is generated by a second measuring unit. The generated sensor data is analyzed by artificial intelligence and assigned to a behavior. The behavior is in turn assigned to a behavior state category.

[0023] In other words, behaviors can be identified from the analyzed sensor data. These behaviors are performed by the passenger. The identified behaviors are then assigned a corresponding behavioral state category. In other words, the assigned behavioral state category represents the expected state the passenger should be in when performing the identified behavior. The use of artificial intelligence improves the identification of behaviors and, therefore, the assigned behavioral state category.

[0024] In one embodiment, the evaluation results are displayed to the passenger. Based on the evaluation results, at least one suggestion is displayed to the passenger. A vehicle function is set based on the passenger's acceptance of the suggestion.

[0025] In particular, different situations can be distinguished based on the evaluation results. For example, if the evaluation results contain information that the assigned vital sign parameter state category is inconsistent with the assigned behavioral state category, in particular if a high state significance is determined, this can be displayed to the passenger if necessary. For this purpose, for example, a message "You are currently in a different state" can be displayed to the passenger on an output unit. This display or output to the passenger can be acoustic or visual. A suggestion can be displayed to the user as to whether to support the currently determined mental state that corresponds to the vital sign parameter state category or whether the user would like to be provided with support to change his mental state and thus adapt to his current behavior.

[0026] In another case, the assigned vital sign parameter state category can correspond to the behavioral state category. Optionally, if the state significance is low, the passenger can be advised on the output unit whether he wants to be supported according to his inner state.

[0027] In another case, the vital sign parameter state category "stress" is detected. In particular, regardless of the assigned behavioral state category, the following advice is then displayed to the passenger, for example: "We've detected that you're stressed. Would you like us to help you relax?"

[0028] By distinguishing different situations, it is possible to set vehicle functions as needed based on the evaluation results.

[0029] In one embodiment, at least one vital sign parameter is detected by means of an electroencephalographic device of the first measuring unit. By using an electroencephalographic device, a vital sign parameter state category can be assigned to the vital sign parameter in a particularly reliable manner.

[0030] In one embodiment, behavior is detected using a camera in the second measurement unit. The camera detects the passenger and generates sensor data. By analyzing the sensor data, the passenger's behavior can be identified. The sensor data can also be used to detect additional vital sign parameters.

[0031] In one embodiment, fleet data is used for assigning vital sign parameters to vital sign parameter state categories and / or assigning detected behaviors to behavior state categories.

[0032] For example, an artificial intelligence can be trained using fleet data. The fleet data contains, for example, information about detected vital sign parameters and their respective assigned vital sign parameter state categories and / or detected behaviors and their respective assigned behavior state categories for a large number of vehicles (particularly more than 10, particularly more than 100, and particularly more than 1,000). By using the fleet data, vital sign parameters can be reliably assigned to vital sign parameter state categories and / or detected behaviors can be reliably assigned to behavior state categories.

[0033] Another aspect of the present invention relates to a system. The system includes a first measurement unit for detecting at least one vital sign parameter of a person. Furthermore, the system includes a determination unit for determining a vital sign parameter state category based on the detected vital sign parameter. The system includes a second measurement unit for detecting the person's behavior, an assignment / classification unit for assigning the detected behavior to a behavior state category, and a calculation unit for comparing the assigned vital sign parameter state category with the assigned behavior state category to determine an evaluation result and setting a function based on the evaluation result.

[0034] Another aspect of the invention relates to a motor vehicle having a system according to the invention.

[0035] For use cases or situations that may occur in the method and are not explicitly described herein, provision may be made for outputting an error message and / or outputting a request for passenger feedback according to the method and / or for setting default settings and / or a predetermined initial state.

[0036] The present invention also includes at least one computing unit for a motor vehicle. The at least one computing unit may include a data processing device or processor device configured to execute an embodiment of the method according to the present invention. To this end, the processor device may include at least one microprocessor and / or at least one microcontroller and / or at least one FPGA (field programmable gate array) and / or at least one DSP (digital signal processor). The processor device may also include program code configured to implement an embodiment of the method according to the present invention when executed by the processor device. The program code may be stored in a data memory of the processor device. The processor circuit of the processor device may include, for example, at least one circuit board and / or at least one SoC (system on chip).

[0037] The present invention also includes improvements of the motor vehicle according to the invention and the system according to the invention, which have the features already described in conjunction with the improvements of the method according to the invention. Therefore, the corresponding improvements of the motor vehicle according to the invention and the system according to the invention will not be described again in this document.

[0038] The motor vehicle according to the invention is preferably designed as an automobile, in particular as a passenger car or truck, or as a bus.

[0039] As a further solution, the present invention also includes a computer-readable storage medium, the computer-readable storage medium including instructions, when executed by a computer or a computer network, the instructions prompting the computer or computer network to implement an embodiment of the method according to the present invention. The storage medium can, for example, be at least partially designed as a non-volatile data memory (e.g., flash memory and / or SSD solid state drive) and / or at least partially designed as a volatile data memory (e.g., RAM random access memory). However, the storage medium can also be run, for example, as a so-called application store server on the Internet. A processor circuit with at least one microprocessor can be provided by a computer or a computer network. The instructions can be provided as binary code or assembly code and / or source code of a programming language (e.g., C language).

[0040] The present invention also includes combinations of features of the described embodiments. Therefore, the present invention also includes implementations each having a combination of features of a plurality of non-mutually exclusive described embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The following describes an embodiment of the present invention. To this end, it is shown:

[0042] Figure 1 An embodiment of a flow chart of a method according to the present invention is shown;

[0043] Figure 2A schematic diagram showing an embodiment of a module of a system according to the present invention;

[0044] Figure 3 A schematic diagram of an embodiment of a vehicle with a system according to the invention is shown.

[0045] The embodiments explained below are preferred embodiments of the present invention. In these embodiments, the components described in the embodiments are each individual, independently considered features of the present invention, which further improve the present invention independently of each other. Therefore, the present disclosure should also include feature combinations other than the feature combinations of the illustrated embodiments. In addition, the described embodiments may also be supplemented by other features of the present invention already described.

[0046] In the figures, the same reference numerals respectively denote elements with the same function. DETAILED DESCRIPTION

[0047] Figure 1 An embodiment of a flow chart of a method for evaluating vital sign parameters of an occupant of a vehicle 15 is shown. In particular, the vehicle 15 is a fully autonomously drivable vehicle.

[0048] In step S1, by means of the first measuring unit 5 ( Figure 2 ) detects at least one vital sign parameter of the passenger. For this purpose, for example, an electroencephalogram (EEG) device can be used as part of the first measurement unit 5. The device can be installed in particular in a seat of the vehicle 15.

[0049] In step S2, the vital sign parameter state category is determined based on the detected vital sign parameters. For example, the vital sign parameter state category includes "relaxation", "concentration", "sleep" and "stress". For example, at least one computing unit 9 ( Figure 3 ) For example, the measurement signal of an electroencephalogram (EEG) device is analyzed by determining the frequency band of the measurement signal. Based on the determined frequency band, the corresponding vital sign parameter state category can then be assigned as appropriate. Examples of assigning frequency bands to vital sign parameter state categories are as follows. Delta waves with a frequency between 0.1 Hz and <4 Hz can be assigned to the vital sign parameter state category "sleep". Theta waves with a frequency between 4 Hz and <8 Hz can be assigned to the vital sign parameter state category "relaxation", alpha waves with a frequency between 8 Hz and <13 Hz can be assigned to the vital sign parameter state category "concentration", and beta waves with a frequency between 13 Hz and <30 Hz (in particular between 21 Hz and 38 Hz) can be assigned to the vital sign parameter state category "stress".

[0050] In step S3, by means of the second measuring unit 7 ( Figure 2) Detect the behavior of the passenger. The second measurement unit 7 can, for example, include a camera that is particularly directed at the passenger. The camera can generate further measurement signals, in particular a camera image.

[0051] In step S4, the detected behavior is assigned to a behavior state category. For this purpose, the further measurement signal is analyzed, for example, by the at least one computing unit 9. For example, the eyes of a passenger are part of the camera image. The computing unit 9 can, for example, recognize the eyes and analyze, for example, whether the eyes move back and forth to read, whether the eyes are closed, or whether the eyes are looking, for example, outside the vehicle 15. In one embodiment, for this purpose, in particular, an artificial intelligence can be trained to recognize the behavior of the passenger, for example, from the camera image, and to assign this behavior to a behavior state category. For example, the recognized behavior can be assigned to the behavior state categories of "relaxed", "concentrated", "sleep" or "stress". In particular, there can be behavior state categories that are the same as the state categories of the vital sign parameters.

[0052] In step S5, the evaluation result is determined by comparing the assigned vital sign parameter state category with the assigned behavioral state category. To this end, it can first be checked whether the vital sign parameter state category is consistent with the behavioral state category. In one embodiment, the significance of the vital sign parameter state category can also be determined. In addition, if necessary, it can also be checked whether the vital sign parameter is assigned the vital sign parameter state category "stress". The evaluation result can then include, for example, information about whether the vital sign parameter state category is consistent with the behavioral state category, the significance level, and optionally whether the vital sign parameter is assigned the vital sign parameter state category "stress".

[0053] In step S6, the vehicle functions of the vehicle 15 are set according to the evaluation results. For this purpose, for example, a massage function of the vehicle seat, an audio system and / or a video system of the vehicle 15 can be set. For example, one goal can be to change the vital sign parameters of the passenger so that the vital sign parameters (especially when the vital sign parameters are detected again) can be assigned to a vital sign parameter state category that is consistent with the same behavior state category. Another goal can be to increase the significance, but the vital sign parameter state category should not be changed. For example, the passenger can also be advised to change his behavior because his current behavior corresponds to a behavior state category that is inconsistent with the vital sign parameter state category. Here, the vehicle function can also be set to assist the passenger in changing behavior.

[0054] like Figure 1 As shown in the flowchart in FIG, steps S3 and S4 can be performed at least temporarily simultaneously with steps S1 and S2. If necessary, step S5 can be performed after steps S2 and S4 are completed.

[0055] Figure 2A schematic diagram of an embodiment of modules of a system for evaluating at least one vital parameter of a passenger according to the present invention is shown.

[0056] The system may have a “current state sensing” module 1 , a “comfort improvement” module 2 , a “current behavior sensing” module 3 and a “vehicle state adjustment” module 4 .

[0057] The "current state sensing" module 1 can perform steps S1 and S2. To this end, the "current state sensing" module 1 has, for example, a first measuring unit 5 for performing step S1. Specifically, the measuring unit 5 can include an electroencephalogram (EEG) device integrated into the headrest of the vehicle seat. The "current state sensing" module 1 can also have a determination unit 6 for performing step S2. The determination unit 6 can, in particular, include an artificial intelligence module EEG state classifier, in particular a neural network. Here, a vital sign parameter state category can be determined based on the vital sign parameters. In addition, in particular, a degree of significance can be determined.

[0058] The "Current Behavior Sensing" module 3 can, for example, perform steps S3 and S4. For example, the "Current Behavior Sensing" module 3 can include a second measurement unit 7 and an assignment unit 8 for this purpose. The second measurement unit 7 can include a camera for observing the passenger. The assignment unit 8 can include an artificial intelligence module—a passenger behavior classifier, in particular, another neural network—for identifying behaviors and assigning them to behavior state categories.

[0059] The "Comfort Improvement" module may, for example, include at least one computing unit 9 for executing step S5 and, if necessary, an output unit 10. The output unit 10 may output information to the passenger visually and / or audibly. Specifically, the output unit 10 may output the evaluation results to the passenger, for example, by displaying them on a screen in the vehicle 15. In this case, recommendations based on the evaluation results may be displayed to the passenger. In one embodiment, the passenger can then select the type of support they would like. For example, the passenger may select a recommendation via voice or tactile input (particularly on a screen).

[0060] For example, if the assessment result includes that the vital sign parameter state category is inconsistent with the behavioral state category, in particular not the vital sign parameter state category "stress", the passenger can, if necessary, choose whether he wants to be supported in this case to change the vital sign parameters so that the assigned vital sign parameter state category is consistent with the behavioral state category; or whether he wants to change his behavior and maintain the current behavioral state category and be supported in this regard; or whether he does not want any support.

[0061] In another example, if the assessment result indicates that the vital sign parameter status category is consistent with the behavioral status category, and if necessary, the significance is below a predetermined threshold, the passenger can select whether they wish to be supported based on their vital sign parameter status category. This threshold can optionally be statically defined or correspond to the average significance of previously detected vital sign parameter states. Optionally, especially if the significance exceeds a predetermined threshold, the advice may not be displayed, and steps S1 to S5 may be repeated, especially after a predetermined time interval.

[0062] In another example, if the assessment result includes that the vital sign parameter status category "stress" is assigned, the passenger can select whether he wants support in relaxing.

[0063] The "vehicle state regulation" module 4 has, for example, a regulator 11, an actuator 12, a regulation object 13 and a measuring element 14. Depending on the vital sign parameter state category sought, different regulators 11 can be used, which in particular perform step S6. The vital sign parameter state category sought can be determined in particular according to the passenger's selection. Possible actuators 12 can be a massage function of the vehicle seat of the vehicle 15 or other settings of the vehicle seat, a sound system of the vehicle 15 for playing music, the brightness or color of the interior lighting of the vehicle 15, or output settings on the screen of the vehicle 15. The regulation object 13 can be a passenger, in particular his inner state and / or comfort. The measuring element 14 can include a first measuring unit 5 and a determination unit 6, the first measuring unit in particular including an EEG device, and the determination unit in particular including an AI module - an EEG state classifier.

[0064] For example, the desired vital sign parameter state category may be "relaxation." For example, a relaxing massage and / or dimmed interior lighting and / or relaxing music can be set. If necessary, the screen can also be turned off. In another example, the desired vital sign parameter state category may be "focus." In this case, for example, an activated massage and / or bright interior lighting and / or activated music can be set. If necessary, a view of the current environment of the vehicle 15 can be displayed on the screen. In another example, the desired vital sign parameter state category may be "sleep." In this case, dimmed interior lighting and / or a reclined position of the vehicle seats can be set. If necessary, the screen can be turned off.

[0065] If the current vital sign parameter state category determined by the measuring element 14 matches the desired vital sign parameter state category, the "vehicle state control" module 4 is terminated. Steps S1 to S6 can then be executed again, for example, after a predetermined time interval (eg, 15 minutes).

[0066] Figure 3 The schematic diagram of a vehicle 15 is shown, which has a system for evaluating vital sign parameters of an occupant of the vehicle 15. The system can have, for example, a first measuring unit 5, a second measuring unit 7, a determination unit 6, an assignment unit 8, and at least one calculation unit 9. The assignment unit 8 and the determination unit 6 can, in particular, be part of the calculation unit 9.

[0067] Step S1 can be performed by a first measurement unit 5, which can in particular include an EEG device. Step S2 can be performed by a determination unit 6, which can be designed as an AI module—an EEG state classifier. Step S3 can be performed by a second measurement unit 7, which can include a camera. Step S4 can be performed by an allocation unit 8, which can be designed as an AI module—a passenger behavior classifier. Steps S5 and S6 can be performed by a calculation unit 9.

[0068] Overall, these examples demonstrate, in particular, how passenger comfort can be improved in autonomous driving mode through AI-based regulation of the EEG state.

Claims

1. A method for evaluating vital sign parameters of a passenger of a vehicle (15), said method comprising the following steps: - detecting (S1) at least one vital parameter of a passenger by means of a first measuring unit (5); - determining (S2) a vital sign parameter state category based on the detected vital sign parameters; - detecting (S3) the passenger's behavior with the aid of a second measuring unit (7); - assigning (S4) the detected behavior to a behavior state category; - determining (S5) an evaluation result by comparing the assigned vital sign parameter state category with the assigned behavioral state category; as well as - Setting (S6) vehicle functions of the vehicle (15) according to the evaluation result.

2. The method according to claim 1, in, The status significance of the assigned vital sign status category is determined based on the measured values ​​of the detected vital sign parameters, and the evaluation result is determined accordingly.

3. The method according to any one of the preceding claims, in, At least one further vital sign parameter is determined, and a vital sign parameter status category is determined based on the further vital sign parameter.

4. The method according to any one of the preceding claims, in, To detect a behavior, sensor data are generated by means of a second measuring unit (7), analyzed by means of artificial intelligence and assigned to a behavior, which is assigned to a behavior state class.

5. The method according to any one of the preceding claims, in, The evaluation result is output to the passenger, at least one suggestion is output to the passenger based on the evaluation result, and a vehicle function is set based on the passenger's acceptance of the suggestion.

6. The method according to any one of the preceding claims, in, At least one vital sign parameter is detected by means of an electroencephalographic device of a first measuring unit (5).

7. The method according to any one of the preceding claims, in, The behavior is detected by means of a camera of a second measuring unit (7).

8. The method according to any one of the preceding claims, in, The fleet data is used for assigning vital sign parameters to vital sign parameter state categories and / or assigning detected behaviors to behavior state categories.

9. A system comprising: - a first measuring unit (5) for detecting at least one vital parameter of a person; - a determination unit (6) for determining a vital sign parameter state category based on the detected vital sign parameters; - a second measuring unit (7) for detecting the behavior of the person; - an assignment unit (8) for assigning the detected behavior to a behavior state category; as well as - at least one calculation unit (9) for determining an evaluation result from a comparison of the assigned vital sign parameter state category with the assigned behavioral state category and for setting a function in dependence on the evaluation result.

10. A motor vehicle (15) having a system according to claim 9.

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