DE102023111727A1 - Method and device for determining food needs in a motor vehicle - Google Patents

Abstract

The invention relates to a method for determining nutritional needs in a motor vehicle (10), comprising: recording health data of an occupant (1) of the motor vehicle (10), determining a nutritional requirement based on the health data and determining a food provision location away from the motor vehicle based on the nutritional requirement.

Description

The present invention relates to a method and device for determining food needs in a motor vehicle and to a motor vehicle.

In principle, it is known to have your food delivered to a motor vehicle, for example by telephone or by collection, and to eat it there. However, the choice of food is often influenced by external factors, in particular availability and speed of preparation, while health aspects of the food are less important. The result is a feeling of fullness, discomfort and overtiredness, which means that a traffic hazard cannot be ruled out.

It is therefore an object to provide an improved method and an improved device for determining nutritional requirements in a motor vehicle. In particular, it is an object of the present invention to facilitate needs-based food procurement for an occupant of a motor vehicle.

This task is solved by the subject matter of the independent claims. Advantageous further developments are specified in the dependent claims.

According to a first aspect, a method for determining food needs in a motor vehicle is specified.

The method according to the invention includes the steps of recording health data of an occupant of the motor vehicle, determining a nutritional requirement based on the health data and determining a food provision location away from the motor vehicle based on the nutritional requirement.

The method serves in particular to enable or facilitate the procurement of food for one or more passengers, in particular the driver, of a motor vehicle. In particular, the method supports or enables a food supply adapted to the needs of one or more occupants of the motor vehicle. For the sake of simplicity, reference will be made below exclusively to one occupant, although it goes without saying that the method can also be applied to several occupants at the same time or one after the other.

The method can in particular be carried out by a device which is designed to carry out one or more steps of the method. For example, the device can be an entertainment or infotainment module installed or integrated in the motor vehicle, which includes, for example, a touch screen and one or more keys and / or buttons, which supports voice input and / or access to a or has several interior cameras, as will be described later.

According to a first step, health data of an occupant of the motor vehicle is recorded.

In the present case, health data includes data or information that indicates the health or vital status of the occupant. In particular, the health data includes data or information that indicates a current or current state of health of the occupant.

For example, the health data includes data or information that indicates, or quantifies or names, a heart rate, a pulse, a blood pressure, a blood sugar level, a body temperature, a pupil size, a skin color, a blinking frequency and/or sweating of the occupant.

Again, for example, the health data includes a current and/or past movement state, a current and/or past illness state, a current and/or past fatigue state and/or a current and/or past exhaustion state

Again, for example, the health data includes a height, weight, gender and/or age of the occupant.

The health data can be recorded using one or more suitable recording means.

For example, health data, such as heart rate, pulse, blood pressure, blood sugar level and/or body temperature, can be transmitted via a device worn by the occupant, such as a wearable, a smartwatch or a smartphone, in particular current, regularly and/or continuously. are recorded, which is coupled to the computing device of the motor vehicle.

Again, for example, health data such as body temperature, pupil size, skin color, blink frequency and/or perspiration can be collected via a suitable image capture device, such as an indoor camera mera, especially an infrared camera, can be recorded.

Likewise, for example, health data such as the state of movement, the state of illness, the state of tiredness and/or the state of exhaustion can be determined and/or derived from values currently or previously recorded by a device worn by the occupant, such as an activity and/or sleep tracker.

For example, other sensors can also be used in the motor vehicle which can record one or more of the aforementioned health data or can derive this from other, in particular permanently recorded, information from the motor vehicle. For example, a temperature and/or sweat formation can be derived from a temperature and/or humidity sensor in the interior, for example on the steering wheel of the motor vehicle. Likewise, for example, a state of tiredness and/or a state of exhaustion can be inferred from a body posture that is recorded with an interior camera. Again, for example, based on a speech frequency, tone or character of words spoken by the occupant, which are recorded, for example, with an interior microphone, a conclusion can be drawn about a state of illness, a state of tiredness and/or a state of exhaustion. In particular, artificial intelligence and/or reference values of the occupant can be used for this purpose.

The method can be triggered or started in particular due to the collection of the health data or due to one or more health data falling below and/or exceeding a predetermined threshold value. Alternatively, the method can be started by user input, as will be described later.

In a further step, a nutritional need is determined based on the health data.

A nutritional need is a need of the inmate that has been determined based on the health data collected. The need for food can initially be a general need to eat. This can be concluded, for example, from pale skin, a noise in the stomach or a stooped posture. In particular, the need for food is a specific need that has arisen due to a deficit in the occupant, for example due to previous malnutrition or lack of sleep.

For example, based on the health data, it can be determined that the occupant needs high-carbohydrate, high-protein and/or high-fat food. Again, for example, based on the health data, it can be determined that the occupant needs a specific vitamin, mineral and/or trace element. Likewise, for example, it can be determined based on the health data that the occupant needs fluids, in particular water. Again, for example, based on the health data, it can be determined that the occupant needs a specific active ingredient, such as caffeine or an analgesic.

In particular, a quantity of several required foods can be determined or a dish or menu consisting of these required foods. For example, it may be determined that the occupant needs fluids and caffeine, whereupon a caffeinated beverage is determined to be a nutritional need. Again, for example, it can be determined that the occupant needs carbohydrates and proteins, whereupon a sandwich, for example with ham and/or cheese, is determined as a nutritional need. Likewise, for example, it can be determined that the occupant needs carbohydrates, especially sugar, and vitamins, whereupon a fruit or a fruit salad is determined to be a nutritional need.

In particular, certain foods and/or products can be excluded based on the health data determined. For example, the inmate may have diabetes and only sugar-free and/or foods suitable for diabetics can be identified. Likewise, for example, the inmate may have heart failure and particularly low-fat foods may be identified.

Determining the nutritional need can be done in particular using lookup tables, decision trees and/or using artificial intelligence, in particular on the aforementioned device.

In a further step, a food provision location remote from the motor vehicle is determined based on the determined food need.

The food provision location is a place that can satisfy the previously determined food need. In particular, the food provision location is a supermarket, a kiosk, a restaurant, in particular a take-away restaurant and/or a fast food restaurant, or a department store that satisfies the need for food or the need for food offers the food, product, dish and/or menu, in particular for take-away and/or out-of-home sales.

For example, based on the nutritional needs of the caffeinated beverage, a supermarket and/or a gas station with a shop can be determined as a food supply location. Again, for example, based on the nutritional needs of the sandwich, a bakery or a gas station with a shop can be determined as a food supply location. Likewise, for example, a weekly market or a restaurant can be determined as a food supply location based on the nutritional needs of the fruit salad.

The food provision location is a location that can be determined with sufficient precision, such as an address, a position, one or more coordinates or a point of interest. For this purpose, one or more food provision locations are stored in a memory, in particular the device, optionally with further information, such as opening times, range of goods, products, dishes and/or menus, in particular current information, as well as further information such as nutritional values and information contained therein on packaging, manufacturing, supply chain, carbon footprint, organic farming, country of origin, ethics of supplier companies, etc., as will be described later.

Alternatively or additionally, this further information can also be accessed, in particular immediately after the nutritional requirement has been determined, for example through a wireless communication connection, in particular a mobile phone connection such as 3G, 4G and/or 5G, or Bluetooth, WiFi and/or Car2X.

Based on the determined food provision location, this location or the shop or restaurant can then be displayed in one embodiment, in particular on a screen of the device.

Alternatively or additionally, navigation to the food provision location can be started, both automatically, i.e. without user input or further intervention by the occupant, and after prior request, either by the occupant or by the device itself. In particular, the motor vehicle can be an at least partially autonomous motor vehicle that drives to the food provision location autonomously and in particular without any further action from the occupant.

Optionally, a food order can be sent to the determined food provision location based on the determined food need, both automatically and upon prior request. This can be done via the communication connection described previously. For example, a pre-order can be triggered at the food provision location so that the food for the occupant is already prepared and/or packaged upon arrival.

Again optionally, the food provision location may be a pickup or pickup location that is distant from the actual sales and/or preparation location. For example, the food order may be received at a central ordering location, processed there or remotely, and then delivered to the food delivery location, for example by a courier or messenger.

In particular, the food order can be delivered to the motor vehicle in a special container, which is designed for consumption intended in the motor vehicle and/or for preparation and/or keeping warm supported by the motor vehicle. Furthermore, in particular, the container can contain further information about the food contained therein and in particular its ingredients, in particular those relating to a food preference and/or food intolerance, as will be explained later. This additional information can be applied to the container in particular using a printed or stuck-on code, such as a QR code or a barcode, and can thus be easily read by the occupant.

The method according to the invention makes it easier to procure food for an occupant of the motor vehicle. In particular, the method supports or enables a food supply adapted to the needs of the occupant of the motor vehicle.

According to a further development, the method further comprises the step of detecting a food preference of the occupant, wherein the determination of the food requirement is additionally carried out based on the food preference.

The inmate's food preference is a taste, preference and/or appetite of the inmate, for example for a particular product, dish, type of cuisine, method of preparation, a particular brand and/or restaurant, especially a restaurant chain.

For example, the food preference can be a snack, a soup, a main meal meal and/or a dessert. Again, for example, the food preference may include vegetarian, vegan and/or meat-containing or meat-based food. Likewise, for example, the food preference may include a regional cuisine, such as an Asian, in particular Thai, Chinese, Indian and/or Vietnamese cuisine, a European, in particular German, Italian and/or French cuisine, and/or American cuisine. Likewise, for example, the food preference can include a particularly hot, spicy, salty and/or particularly mild preparation.

In particular, food preference can also include secondary information, such as information on packaging, production, supply chain, CO2 footprint, organic farming, country of origin, locality or regionality of products, ethics of supplier companies, etc. Food preference can also be influenced by religious reasons, for example Take into account fasting times, etc.

The food preference can also include negative characteristics, i.e. certain products, dishes, restaurants or characteristics that the inmate does not prefer, rejects, does not like, does not tolerate and/or does not value.

The food preference can be stored and stored both in the device and/or a portable device coupled to it, and can also be queried by the occupant, for example by means of an image or audio output, in particular in response to the identified food need(s) and/or the or the identified food provision locations. The food preference can then be selected by the occupant in particular through voice input and/or a selection on the touch screen of the device.

The food preference can include both a general and a situation-dependent food preference. In particular, different food preferences are stored for different occasions, situations and/or conditions. For example, a food preference can be stored at a specific time or period of the day, such as breakfast, lunch, dinner. Again, for example, a food preference can be stored for a specific location, such as regional or local cuisine. Likewise, for example, a food preference can be stored for a specific road, such as a motorway or a country road. For example, certain food preferences can also be stored for certain recorded food needs and/or food provision locations.

This further training makes it possible to respond particularly precisely to the needs of the occupant and to determine the food he most desires to meet his nutritional needs.

According to a further development, the method further comprises the step of detecting a food intolerance of the occupant, with the determination of the food requirement additionally taking place based on the food intolerance.

A food intolerance is a biologically and/or medically based intolerance of a specific food or product, for example due to a congenital or acquired allergy, in particular a food allergy, a defective metabolism and/or an intolerance. In particular, food intolerance can also overlap with or be defined by a disease or clinical picture.

For example, food intolerance is a peanut, soy and/or sesame allergy, gluten intolerance and/or lactose intolerance.

This food intolerance can also be read out of a memory, for example because it has already been stored in advance in a memory of the device, or because it has currently or previously been detected on a device worn by the occupant and can be read out from it. Alternatively or additionally, the occupant can also be asked about food intolerance.

For example, in the case of a peanut allergy, a nutritional need in the form of a chocolate bar can be identified, but products that contain peanuts can be excluded.

This further training makes the food requirement particularly safe for the occupant. In particular, the automatic consideration of food intolerance enables a particularly quick and appropriate selection of food.

According to a further development, the method further comprises the step of detecting food previously consumed by the occupant, with the determination of the nutritional requirement additionally taking place based on the previously consumed food.

For example, by requesting the occupant, the occupant can be asked via user input what they have already consumed on this day, for example in the last 1, 3, 6, 9, 12 or 18 hours. Alternatively or additionally, this can be recorded via an interior camera. Alternatively or additionally, this can be read by a device worn by the occupant.

Alternatively or additionally, the previously consumed food can also be detected by another detection device that is remote from the motor vehicle and transmitted to the motor vehicle. For example, the previously consumed food can be recorded by a camera, a smartphone and/or a smart home device in or at the occupant's place of residence or this can be inferred from information recorded therefrom.

This further development makes it possible to provide a balanced diet throughout the day or over a certain period of time in which the occupant is in the motor vehicle. In particular, it can be made possible for the food requirement to be varied and thus particularly well accepted by the occupant.

According to a further development, the method further comprises the step of detecting a position of the motor vehicle, wherein the determination of the food requirement and/or the determination of the food provision location is additionally carried out based on the position.

A position includes in particular a current or current position. This can be determined, for example, by a GPS sensor, in particular taking into account map data, which can also be stored in the device. The position includes a sufficiently determinable location, such as an address, a street, a direction of travel and/or one or more coordinates.

For example, the food provision location can be selected as the location or position of the motor vehicle, in particular by transmitting a food order to a delivery service. It is therefore possible that the motor vehicle or the occupant does not have to move any further, especially because he is so exhausted, but that the food is delivered directly to him or into the motor vehicle.

In particular, the position can also include a future position, for example as a destination or waypoint along a route, in particular along a route to be navigated by the motor vehicle, both autonomously and manually. Further, for example, the position can also include a distance still to be traveled along the route.

This further development makes it possible to determine a food provision location that is nearby and in particular along a route to be navigated. In this way, detours and, in particular, delays during the journey can be avoided. The food requirement can also be selected based on the conditions of the trip, in particular the future trip.

According to a further development, the method further comprises the step of recording the occupant's appointment data, wherein the determination of the food requirement and/or the determination of the food provision location is additionally carried out based on the appointment data.

Appointment data is data or information that indicates an appointment for the inmate or defines it, especially in terms of time. For example, the appointment data includes a planned or promised arrival time, a planned or promised telephone conversation, in particular one that can be made from the motor vehicle or must be made due to the route or arrival time. In particular, the type and duration of a possible break for eating can be deduced from the appointment data.

This further training makes it possible to align the inmate's food needs and/or the food provision location with planned appointments. For example, a food delivery location can be selected that can only be reached after a planned telephone conversation, or a food item that can also be eaten while driving. A particularly flexible solution is therefore provided.

In particular, in the case of a delivery to the motor vehicle, the availability of a delivery can be checked by taking the appointment dates into account and only if a delivery is still possible within the availability can this be ordered.

According to a further development, the method further comprises the steps of providing the determined food requirement to the occupant and receiving a user input from the occupant in response to the provision, wherein the food provision location is additionally determined based on the user input.

For example, the determined food need and/or the food determined from the food need can be displayed on a screen or via voice output in the motor vehicle. In particular, the inmate can be presented with several options of previously determined food provision locations, in particular with further information about nutritional values, packaging, production, supply chain, CO2 footprint, organic cultivation, country of origin, ethics of supplier companies, etc. Likewise, the inmate can be presented at the Products or dishes available at food delivery locations are displayed and/or other information such as opening times or distance to the food delivery location.

The occupant can then select one or more of the food provision locations with a user input, which can then be adopted as a navigation destination, for example. In particular, a first determination of one or more food provision locations is carried out, whereupon a food provision location from the several food provision locations is determined by the user input.

The display of the determined nutritional need can in particular be associated with the indication that a nutritional deficit or nutritional need as such has been determined. The ad can also be associated with a request to satisfy this need for food.

This further development enables a particularly flexible method in which the occupant can help shape the selection of the final food provision location, in addition to any previously stored preferences and/or intolerances or independently thereof.

According to a further development, the method further comprises the step of detecting a property of the motor vehicle, wherein the food provision location is additionally determined based on the property.

A property of the motor vehicle is, for example, a type of drive and/or fuel type, such as gasoline, diesel or electric. In particular, a property of the motor vehicle is a fill level of an energy storage device, such as a tank and/or a battery storage device. Further, for example, a property of the motor vehicle is a size or an external dimension, in particular a height, width and/or length of the motor vehicle.

This further development makes it possible to combine a necessary refueling stop and/or charging stop with food intake. For example, a gas station with an attached shop can be selected as a food supply location if the fill level of the tank falls below a certain threshold and/or a navigation destination can no longer be reached with the contents of the tank. You can also look for a parking space along the route that is large enough for the vehicle.

For use cases or application situations that may arise with the method and that are not explicitly described here, it can be provided that an error message and/or a request to enter user feedback and/or a standard setting and/or a predetermined one can be issued according to the method Initial state is set.

According to a further aspect, a device is specified which is designed to carry out embodiments of the method described above. The device comprises a control device, which can have a data processing device or a processor device that is set up to carry out an embodiment of the method according to the invention. For this purpose, the processor device can have 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). Furthermore, the processor device can have program code that is designed to carry out the embodiment of the method according to the invention when executed by the processor device. The program code can be stored in a data memory of the processor device. The processor device can, for example, be based on at least one circuit board and/or on at least one SoC (System on Chip).

According to a further aspect, a motor vehicle is specified. The motor vehicle includes means, in particular an aforementioned device, for carrying out embodiments of the method described above.

The motor vehicle according to the invention is preferably designed as a motor vehicle, in particular as a passenger car or truck, or as a passenger bus or motorcycle.

As a further solution, the invention also includes a computer-readable storage medium comprising program code which, when executed by a computer or a computer network, causes it to carry out an embodiment of the method according to the invention. The Spei chermedium can be provided at least partially as a non-volatile data storage (e.g. as a flash memory and/or as an SSD - solid state drive) and/or at least partially as a volatile data storage (e.g. as a RAM - random access memory). The storage medium can be arranged in the computer or computer network. The storage medium can also be operated on the Internet, for example, as a so-called app store server and/or cloud server. The computer or computer network can provide a processor circuit with, for example, at least one microprocessor. The program code can be provided as binary code and/or as assembler code and/or as source code of a programming language (e.g. C) and/or as a program script (e.g. Python).

The invention also includes the combinations of the features of the described embodiments. The invention therefore also includes implementations that each have a combination of the features of several of the described embodiments, provided that the embodiments have not been described as mutually exclusive.

With regard to the embodiments of the device, the motor vehicle and the storage medium as well as the associated advantages, reference is made to the previously described embodiments of the method and the associated advantages.

• 1 eine perspektivische Ansicht einer Ausführungsform einer Vorrichtung und eines Verfahrens zur Nahrungsbedürfnisermittlung.

Examples of embodiments of the invention are described below. This shows:

• 1 a perspective view of an embodiment of a device and a method for determining food needs.

The exemplary embodiments explained below are preferred embodiments of the invention. In the exemplary embodiments, the described components of the embodiments each represent individual features of the invention that are to be considered independently of one another and which also further develop the invention independently of one another. Therefore, the disclosure is intended to include combinations of the features of the embodiments other than those shown. Furthermore, the described embodiments can also be supplemented by further features of the invention that have already been described.

1 shows a perspective view of an embodiment of a device 100 and a method for determining food needs in a motor vehicle 10.

The device 100 is shown, for example, as an infotainment module of the motor vehicle and has a touch screen and a voice control function. The motor vehicle also has one or more cameras that are aimed at the interior and in particular the occupant 1, but which are not shown for reasons of clarity.

The device 100 is designed to record health data of an occupant 1 of the motor vehicle.

The device 100 is also designed to detect a food preference and a food intolerance of the occupant 1.

The device 100 is also designed to record what food the occupant 1 has previously consumed.

The device 100 is also designed to determine a position and a planned route of the motor vehicle 1.

The device 100 is also designed to record appointment data of the occupant 1.

The device 100 is also designed to determine a nutritional need of the occupant 1 based on the health data, food preference, food intolerance, previously consumed food, position and appointment data.

The device 100 is also designed to provide the determined nutritional need to the occupant and in response to receive a user input from the occupant 1.

The device 100 is also designed to detect a property of the motor vehicle.

The device 100 is also designed to determine a food provision location remote from the motor vehicle based on the food need, the position, the appointment data, the user input and the property.

The device 100 is also designed to navigate the motor vehicle 10 to this determined food provision location, in particular autonomously.

Overall, the examples show how health and nutritional data can be combined with efficient food delivery to a vehicle occupant.

The described embodiments in particular support or enable a food supply adapted to the needs of the occupant of the motor vehicle.

The occupant's food intake is optimally adapted to his or her current health and nutritional situation. This promotes better fitness and thus greater attention and faster reactions. This leads to increased vehicle and passenger safety.

Claims (10)

Method for determining food needs in a motor vehicle (10), comprising: - Recording health data of an occupant (1) of the motor vehicle (10); - Determine nutritional needs based on health data; and - Determining a food provision location remote from the motor vehicle (10) based on the need for food. Procedure according to Claim 1 , further comprising: - Detecting a food preference of the occupant; whereby the determination of nutritional needs is also based on food preference. Method according to one of the preceding claims, further comprising: - detecting food intolerance of the occupant; whereby the determination of nutritional requirements is also based on the food intolerance. Method according to one of the preceding claims, further comprising: - Detecting food previously consumed by the occupant (1); whereby the determination of nutritional requirements is also based on the previously consumed food. Method according to one of the preceding claims, further comprising: - Detecting a position of the motor vehicle (10); wherein the determination of the nutritional requirement and/or the determination of the food provision location is additionally based on the position. Method according to one of the preceding claims, further comprising: - Recording the inmate's appointment data (1); wherein the determination of the nutritional requirement and/or the determination of the food provision location is additionally based on the appointment data. Method according to one of the preceding claims, further comprising: - Providing the occupants with the determined nutritional needs (1); and - Receiving a user input from the occupant (1) in response to providing; wherein the determination of the food provision location is additionally based on the user input. Method according to one of the preceding claims, further comprising: - Detecting a property of the motor vehicle (10); wherein the determination of the food provision location is additionally based on the property. Device (100) for determining food needs in a motor vehicle (10), comprising a control device which is designed to implement a method according to one of the preceding Claims 1 until 8th to carry out. Motor vehicle (10), comprising a device according to Claim 9 .

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