CN115092161A

CN115092161A - Driver and passenger state evaluation system, riding environment adjusting method and system

Info

Publication number: CN115092161A
Application number: CN202110995514.5A
Authority: CN
Inventors: 田国花
Original assignee: Denso Corp
Current assignee: Denso Corp
Priority date: 2021-08-27
Filing date: 2021-08-27
Publication date: 2022-09-23

Abstract

A system for evaluating the state of driver or passenger, a method for regulating the riding environment and a system therefor are provided, which can regulate the riding environment of different areas to provide each driver or passenger with the optimized experience during driving. The occupant state evaluation system includes: the driver and passenger signal acquisition part is used for acquiring signals of various state parameters of drivers and passengers riding in different areas; the logic operation part is used for obtaining an evaluation result reflecting the current state of the driver and passengers according to the obtained various state parameters; and an evaluation result output unit for outputting the evaluation result of the occupant. The logic operation unit includes: an age group determination module capable of determining an age group of the occupant using one or more of the status parameters; a parameter selection module for selecting one or more of the status parameters corresponding to the determined age bracket of the occupant; and an index grade evaluation module for evaluating the index grade as an evaluation result by using the selected one or more state parameters.

Description

Driver and passenger state evaluation system, riding environment adjusting method and system

Technical Field

The present invention relates to a technology for indirectly relieving riding fatigue of a driver, and more particularly, to a driver condition evaluation system for evaluating conditions of drivers in different areas according to different areas of a vehicle to provide the drivers in the different areas with traveling experiences optimized for the drivers, and a riding environment adjusting method and a riding environment adjusting system for adjusting riding environments of the drivers in the different areas in an optimized manner using the driver condition evaluation system.

Background

In the driving process, the physiological state and the mental state of the driver are closely related to the driving safety, so that the driving comfort of the driver is improved and more paid attention and attention.

In the prior art, a plurality of ideas which only face to the driver for monitoring and analyzing and provide the driver comfort regulation and the driving atmosphere regulation exist, but because the monitoring means aiming at the driver is single and the algorithm logic is not comprehensive, the corresponding purpose of really meeting the riding comfort of the driver is difficult to achieve. Besides the requirement of the method corresponding to the driving comfort of the driver, the customized comfort experience is difficult to provide for the passengers riding in different areas according to different areas of the vehicle.

The mental state of the driver fluctuates due to the movement experience of passengers other than the driver, which affects the driving safety, for example, in a long-distance movement, children suddenly make noises in the back row, the attention of the driver is not concentrated, and the mood of the driver becomes impatient. Therefore, ensuring the riding comfort of the elderly, the disabled, the infants and other people is also an indispensable key point in the mobile life.

In addition, in the case of setting the riding environment according to the mood of the driver and passengers,

because the monitoring parameters are single, and the comprehensive judgment is not carried out according to the pressure values, the fatigue values and the health conditions of different drivers and passengers.

Therefore, it is an urgent technical problem to improve the optimal travel experience of the driver by monitoring, calculating and supporting the movement status of the driver in different ages.

Disclosure of Invention

The present invention has been made to solve the above-described problems, and an object of the present invention is to provide a driver status evaluation system that can provide each driver with an optimal travel experience for the driver, while driving, with respect to each driver seated in different areas.

Another object of the present invention is to provide a method for adjusting a riding environment, which can perform a comprehensive judgment based on parameter evaluation systems of different riders and adjust the riding environment of a different area to the riders riding in the area in an optimal manner.

It is still another object of the present invention to provide a ride environment control system having the aforementioned occupant condition evaluation system and capable of executing the aforementioned ride environment control method.

To achieve one object of the present invention, there is provided an occupant status evaluation system,

for evaluating the state of occupants seated in different areas. The occupant condition evaluation system includes an occupant signal acquisition unit, a logical operation unit, and an evaluation result output unit. The logic operation part is used for obtaining the evaluation results reflecting the current states of the passengers riding in different areas in different age groups according to the state parameters obtained by the passenger signal obtaining part.

The logic operation part has the function of determining the age bracket of the driver and can respectively adopt different state parameters to obtain the evaluation result according to the different determined age brackets of the driver.

That is, the logical operation section has an age bracket specifying module, and specifies the age bracket of the occupant using one or more of the state parameters as input data. The state parameter of the age bracket of the driver and the passenger determined by the age bracket determining module can be the age of the driver obtained by utilizing vehicle-mounted human body monitoring equipment such as a driver fatigue monitoring infrared camera and the like, and can also be the age of the driver obtained from intelligent wearable equipment and/or a cloud server applied externally.

In addition, corresponding to the determined age bracket of the driver, the parameter selection module of the logic operation portion selects one or more relevant state parameters from various state parameters acquired by the driver signal acquisition portion through different approaches (for example, the vehicle-mounted human body monitoring device, the intelligent wearable device and the externally applied cloud server), or the parameter selection module of the logic operation portion makes relevant instructions to the driver signal portion, and the driver signal acquisition portion directly acquires one or more state parameters corresponding to the age bracket of the driver through different approaches. Then, the index grade evaluation module of the logic operation part evaluates one or more index grades corresponding to the age bracket of the driver and the passenger by using the state parameter determined by the parameter selection module. The evaluation result output section directly outputs and displays the value of one or more index levels as an evaluation result.

Preferably, the logical operation part further has a weight determination module that determines a weight of each of the plurality of index levels when calculating the comfort index level corresponding to the determined age group of the occupant, and a comfort index level calculation module that calculates the comfort index level using a value of each index level and the weight of each index level. The evaluation result output unit outputs and displays, as an evaluation result, a comfort level index rating obtained by using a plurality of values of the index rating and performing different weight calculations on the index ratings according to different age groups.

Preferably, the occupant condition evaluation system further includes a policy generation unit that selects and generates different coping policies to recommend, based on the evaluation result (e.g., the value of one or more index ranks or the comfort index rank) regarding the occupant output by the evaluation result output unit.

In order to achieve another object of the present invention, there is provided a ride environment adjusting method,

when it is determined that an occupant is present in a certain area or in a certain seat, a riding environment adjusting method including evaluating the state of the occupant and adjusting the riding environment is executed, and when it is determined that no occupant is present in all the areas or in all the seats, the riding environment adjusting method is not executed.

In this riding environment adjusting method, first, an evaluation result (e.g., a value of one or more index levels or a comfort index level) reflecting the current state of the occupant is obtained by the occupant state evaluating system for each age group of the occupant, and then, different coping strategies are selected and generated for recommendation based on the evaluation result on the occupant.

To achieve still another object of the present invention, there is provided a ride environment conditioning system,

which mounts the occupant condition evaluation system of the present invention and executes, for each different area or each different seat, a riding environment adjusting strategy that matches an evaluation result (e.g., a value of one or more index levels or a comfort index level) obtained based on the occupant condition (determined by the occupant condition evaluation system) located in each different area or each different seat.

In addition, the riding environment adjusting system of the invention can continuously monitor the state of the passengers in real time or periodically after finishing the evaluation of the state of the passengers and the adjustment of the riding environment in all areas or all seats, and can adjust the optimal riding environment in time when the state of the passengers changes.

With the continuous development of intelligent travel, customized travel experience is provided for drivers and passengers in different areas, and the riding environment adjusting system can be further expanded and applied to travel tools which are kept at the same position for a long time and have an interconnection function, such as buses, trains, ships, airplanes and the like.

According to the invention, the system can be customized according to the self condition of the driver and the crew in a multi-dimensional manner, so that the driver and the crew in different areas can be provided with the optimized environment regulation, the system is intelligent and efficient, and the experience of the driver and the crew is better.

In addition, according to the invention, the influence of the driver and passengers on the driver is indirectly reduced by improving the traveling experience of the driver and passengers, and the driving safety is enhanced. In addition, for travel tools such as buses, trains, ships and airplanes which are kept at the same position for a long time, negative influences on the emotion and experience of surrounding passengers can be avoided by improving the travel comfort of drivers and passengers.

In addition, the invention can deal with the trend of automatic driving in the future, can provide customized comfortable experience according to different drivers and passengers, and accelerates intellectualization.

Drawings

Fig. 1 is a schematic view showing a vehicle equipped with an occupant state evaluation system according to the present invention.

Fig. 2 is an explanatory diagram for explaining the onboard application technique of the DMS/OMS applied by the occupant status evaluation system of the present invention.

Fig. 3 is an explanatory diagram illustrating an example of in-vehicle machine interconnection using a smart wearable device (e.g., a smart watch) and the occupant status evaluation system of the present invention.

Fig. 4 is a flowchart illustrating the steps of the ride environment adjustment method of the present invention.

Detailed Description

(evaluation system for driver and crew's state)

The following describes an occupant condition evaluation system according to the present invention.

The occupant condition evaluation system of the present invention is a system for evaluating the riding conditions of occupants seated in different areas, wherein the "occupants seated in different areas" include both the driver and passengers other than the driver.

As shown in fig. 1, the vehicle 100 in which the occupant condition evaluation system according to the present invention is mounted is, for example, a vehicle having six

seats

110, 120, 130, 140, 150, and 160 in total including a driver's seat, and the remaining five seats are 120, 130, 140, 150, and 160 with the driver's seat being 110.

An occupant condition evaluation system of the present invention includes an occupant signal acquisition unit, a logical operation unit, an evaluation result output unit, and a policy generation unit.

The occupant signal acquisition unit is configured to acquire status parameters of occupants seated in different seats as input data.

The state parameter may be, for example, one, more or all of physical data acquired through a vehicle-mounted application technology of the DMS/OMS shown in fig. 2, sitting state data acquired through a pressure sensor (and/or a sensor) provided on a seat or the like, external device monitoring data for performing vehicle-machine interaction through a wireless communication method by external devices (which may also be referred to as "smart wearable devices") such as smart wearable devices (smartwatches, bracelets) or muscle monitoring devices shown in fig. 3 worn by different riders including a driver, and external application recording data acquired from an application through a wireless communication method.

The DMS/OMS vehicle-mounted application technology is a technology for monitoring and judging various body states of all the drivers and passengers including the driver by using a DMS infrared camera mounted on the front side of the driver and/or an OMS infrared camera mounted on the roof (also called a vehicle-mounted human body monitoring device) through an image recognition technology, and can provide data input for realizing functions such as driving safety, an in-vehicle information system and the like.

In addition, the intelligent watch is used for vehicle-mounted interaction, namely the intelligent watch is connected with the intelligent wearable device of each driver and passenger through vehicle-mounted Bluetooth, and an Original Equipment Manufacturer (OEM) acquires preset parameters through a server where data of the intelligent wearable device is located and sends the preset parameters to the vehicle-mounted communication controller, and subsequent logic operation is performed at a vehicle end.

Furthermore, data acquisition by external applications refers to collaboration between OEMs and APP enterprises,

the health management APP is used on the vehicle end, a user can directly download and install the health management APP on the vehicle end to check, and the vehicle end can read data parameters output by the health management APP to perform subsequent logic operation.

The physical data includes, but is not limited to, gender, age group number signal, Face authentication (Face ID), mood signal value, fatigue estimation value, motion abnormality signal, and the like. The seating state data includes, but is not limited to, a seating position, a body temperature, an actuation amplitude pressure, and the like. The external device monitoring data includes, but is not limited to, heart rate, respiratory rate, pulse oximetry, stress score, sleep tracking value, moisture status, schedule, muscle pressure value, muscle tone signal of the human body, and the like. The external application log data includes, but is not limited to, heart beat, blood pressure, physical examination data, heart rate variability index, heart disease risk assessment, past medical history, and the like. In addition, the acquired state parameters are recorded and saved respectively corresponding to each Face ID.

The logic operation part is used for evaluating the current state of each driver and passengers sitting on different seats according to each state parameter. For example, the logic operation unit may determine which of the

seats

110, 120, 130, 140, 150, and 160 the different occupants are seated in based on the seating state data. In addition, the logic operation portion can estimate the age bracket of the driver based on the physical appearance data, and can estimate the stress index grade, the fatigue index grade and the like of the driver. In addition, the logic operation part can assist in evaluating the health index grade and the like of the driver and the passenger by combining external equipment monitoring data, external application recording data and the like, and can enable the evaluation of the stress index grade, the fatigue index grade and the like of the driver and the passenger to be more accurate.

The evaluation result output unit is configured to output the current state of each occupant (at least one of the stress index level, health index level, and fatigue index level of the occupant, or the comfort index level of the occupant) evaluated by the logic operation unit.

As an example, the evaluation result of the logical operation unit includes at least a stress index level, a health index level, and a fatigue index level of the driver, and the logical operation unit converts the calculation result for the driver, which takes into account different weights of the stress index level, the health index level, and the fatigue index level, into a comfort index level of the driver, and transmits the comfort index level to the evaluation result output unit, in accordance with the estimated drivers of different ages, in which the parameters for calculating the stress index level, the health index level, and the fatigue index level are different, and the weights of the stress index level, the health index level, and the fatigue index level in the comfort index level of the driver are different.

The policy generation unit selects and generates different coping policies from a policy library based on the evaluation result for the current state of the occupant output by the evaluation result output unit, and recommends the coping policies. The strategy base stores a plurality of coping strategies under different stress index grades, health index grades and fatigue index grades for drivers in different age groups or coping strategies under different comfort level grades for drivers in different age groups, and corresponding strategies are selected according to the stress index grades, the health index grades and the fatigue index grades or according to the comfort level index grades to form a strategy group. As an example, for a young and middle-aged driver, when the comfort index level of the driver is 1, it is described that the pressure is relatively high, the riding comfort is low, and the traveling experience is poor, and at this time, the policy generation unit selects strong corresponding services (policy group) such as air-conditioning comfort wind, atmosphere light comfort, no-gravity seat opening, and high sound partition isolation from the policy library to recommend, so as to reduce the pressure of the driver and improve the riding comfort. On the contrary, when the comfort index level of the driver and the passenger is 5, it indicates that the pressure is relatively low, the riding comfort is high, and the traveling experience is good, and at this time, the policy generation unit selects weak corresponding services (policy group) such as movies, air purification, music, and the like from the policy library to recommend, so as to maintain the riding comfort of the driver and the passenger.

(riding environment adjusting method)

Hereinafter, the method for adjusting the riding environment according to the present invention will be described with reference to fig. 4.

After the adjustment of the seating environment is started, the adjustment of the seating environment according to the present invention is started (step S200), and one seat is selected by the pressure sensors (and/or sensors) provided in the

respective seats

110, 120, 130, 140, 150, and 160 (step S210), and whether or not there is a person in the seat is sensed (step S220). If no person is sitting on the seat (step S220 is judged as

No), the process returns to step S210 to select the next seat. On the other hand, if the seat has a person (yes in step S220), the occupant state evaluation and the riding environment adjustment are performed for the occupant sitting in the seat.

At this time, the position of the seat is monitored by using the DMS/OMS in-vehicle monitoring system (human body monitoring device) to acquire the Face ID and age group parameter signals in the physical appearance data output from the DMS/OMS in-vehicle monitoring system (step S230).

Next, the system requests reading of different parameters among the various state parameters recorded and saved in correspondence with the Face ID, corresponding to the difference in the monitored age group parameter signals (step S240).

The values of different index levels for the comfort index level are comprehensively analyzed and estimated according to the above parameters (step S250). The different index ratings are, for example, a stress index rating, a health index rating, a fatigue index rating.

Weights for each index level are selected corresponding to the difference in the monitored age group parameter signals (step S260).

Next, a comfort level index level for the occupant is calculated from the numerical values of the different index levels and the weights of the index levels (step S270).

Then, output information including the Face ID, the seating position, and the comfort index level for the occupant is output by the evaluation result output unit (step S280).

Subsequently, a policy generation unit selects and generates different coping policies from the policy library based on the monitored age group parameter signal, the seating position, and the comfort index level for the occupant, and makes a recommendation (step S290).

After the above series of steps is completed, returning to step S210, the next seat is selected,

and repeatedly executing the steps until the optimized sitting environment adjustment is completed for all the seats.

(examples)

An embodiment of a passenger environment adjusting system that uses the occupant state evaluating system according to the present invention and executes the passenger environment adjusting method according to the present invention will be described below with reference to fig. 1.

It will be appreciated by those skilled in the art that the age bracket division referred to in the present invention is customized by the factory system. In the present embodiment, the examples of 0 to 4 years (infants), 5 to 18 years (children), 19 to 59 years (middle-aged and young), and 60 years (elderly) or older are described, but the present invention is not limited to the case of the present embodiment.

In the riding environment adjusting system of the present embodiment, the

seats

110, 120,

130. 140, 150, and 160, the description will be given of the case where the seat 110 (young and middle), the seat 120 (young and middle), the seat 130 (infant), the seat 140 (elderly), and the seat 160 (children) are occupied, and no one is occupied on the seat 150, but the present invention is not limited to this embodiment.

In the seating environment adjustment system according to the present embodiment, the seating state of the occupant in each seat (or "occupant state") is evaluated in order of seat 110, seat 120, seat 130, seat 140, seat 150, and seat 160, and the optimal seating environment adjustment is performed accordingly. However, the ride environment adjustment system of the present invention is not limited to this evaluation/execution sequence described in the present embodiment. In the riding environment adjusting system according to the present invention, the evaluation of the state of the occupant and the adjustment of the optimized riding environment may be performed in parallel for a plurality of seats.

In the present embodiment, taking the classification of young and middle-aged (seats 110, 120), infant (seat 130), elderly person (seat 140), and young person (seat 160) as an example, the adjustment of the seating environment optimized for the driver on each seat is started.

(first round cycle: driver for seat 110)

Seat pressure signals for the seat 110 of figure 1 are acquired by the ride environment conditioning system,

while monitoring the position of the seat 110 with a camera (human body monitoring device on board) to obtain the Face ID and age range parameter signals of the driver sitting on the seat 110. And if the Face ID corresponding to the driver does not exist, establishing a new Face ID.

② in the embodiment, the output of the age range represented by the age range parameter signal is 19-59 years, namely, the middle-aged and young-aged people are sitting on the seat 110. At this time, the riding environment adjusting system requests to read parameters such as heart rate, pulse, blood oxygen saturation, body temperature, fatigue estimation value, mood signal value, mental stress score, sleep tracking value, schedule, etc. of the Face ID.

And thirdly, comprehensively analyzing and calculating the pressure index grade, the health index grade and the fatigue index grade within the range of 0-100 according to the acquired parameters. When one or more of the stress index rating, health index rating, and fatigue index rating is not given a value, a default value of 0 is assigned.

(parameters for calculating stress index grade, health index grade, fatigue index grade in the age group of middle-aged and young-aged)

Pressure index rating: comprehensively analyzing and judging by obtaining, for example, emotion signal values, mental stress scores and schedules of young drivers in the name, and estimating that the current stress index grade of the driver is in a value of 0-100;

health index rating: comprehensively analyzing and judging by acquiring the heart rate, pulse, blood oxygen saturation, body temperature and the like of the young and middle-aged people, and estimating that the current health index grade of the driver is in a value of 0-100;

fatigue index rating: the current fatigue index level of the driver is estimated to be a value in the range of 0 to 100 by obtaining, for example, a fatigue estimation value, a sleep tracking value, a schedule, and the like of young years in the name and performing comprehensive analysis and judgment.

And the evaluation result output unit outputs values of at least one index level of the parameter signal Face ID, the signal of the young or middle age, the seating position signal, and the pressure index level, the health index level, and the fatigue index level obtained by the evaluation.

Selecting and generating different treatment strategies from a strategy library by the strategy generating part according to one or more values of the monitored age group parameter signal, the sitting position, the pressure index grade of the young, the health index grade and the fatigue index grade of the young, and recommending the treatment strategies. For example: the sound equipment and the like can be independently controlled according to the pressure index grade, such as playing relaxing music, starting intelligent driving assistance and the like; the air conditioner can be independently controlled according to the health index grade, for example, the temperature and the air volume of the air conditioner are controlled when the abnormal body temperature is monitored; the seat massage and the like can also be controlled according to the fatigue index grade, for example, when the higher fatigue index grade is monitored, automatic driving, five-sense stimulation awakening or seat massage relaxing and the like can be started.

The more preferable scheme is that the comfort index grade can be calculated according to the calculated stress index grade, health index grade and fatigue index grade of the young and middle-aged drivers and given weight, namely the index grade weight of the young and middle-aged drivers is selected as the index grade weight.

For example, the comfort index rating value for young and middle-aged drivers

Pressure index rating 50% + health index rating 10% + fatigue index rating 40%

(for the explanation of the exponential rating weight of the age group of the young and middle-aged years)

Since middle-aged and young people are the main workforce of families and are under pressure in all aspects of learning, living, family and working, the stress index and fatigue index weights are set to be relatively high, but at this age, the physical health condition is in a relatively good state, and the health index weights are set to be relatively low.

And the evaluation result output part outputs a parameter signal Face ID, a signal of a medium or young age, a seating position signal, a comfort index level and the like.

And selecting and generating different coping strategies from a strategy library for recommendation through a strategy generating part according to the monitored age group parameter signal, the sitting position and the comfort index grade of the driver.

(grading of comfort index rating)

In this embodiment, the comfort level index is classified into 5 levels, the comfort level index grade value of 0 to 20 is 5 levels, the comfort level index grade value of 21 to 40 is 4 levels, the comfort level index grade value of 41 to 60 is 3 levels, the comfort level index grade value of 61 to 80 is 2 levels, the comfort level index grade value of 81 to 100 is 1 level, 1 level is the lowest comfort state, i.e., very uncomfortable, and 5 levels are the highest comfort state, i.e., very comfortable.

For example, when the comfort index level of the young driver in the name is 1 level, it indicates that the pressure is high, the riding comfort is low, and the travel experience is poor, and at this time, the policy generation unit selects and generates the pressure release and sleep aid corresponding services such as air conditioning, mood light, no-gravity seat opening, and sound partition isolation, for example, to recommend the services. On the contrary, when the comfort index level of the young driver is 5, the policy generation unit selects and generates weak response services such as movies, air purification, music, and the like to recommend them, which indicates that the stress is low, the riding comfort is high, and the traveling experience is good.

After the driver state evaluation and the seating environment adjustment are completed for the driver in the first seat (seat 110), the seating environment adjustment system automatically enters the evaluation and adjustment for the second seat (seat 120).

(second round cycle: passenger for seat 120)

Seat pressure signals for the seat 120 of figure 1 are acquired by the ride environment conditioning system,

while monitoring the position of the seat 120 with a camera (human body monitoring device on board) to obtain the Face ID and age range parameter signals of the passenger sitting on the seat 120. And if the Face ID corresponding to the passenger does not exist, establishing a new Face ID.

② in the embodiment, the age range output represented by the age range parameter signal is 19-59 years old, namely, the middle and young people sitting on the seat 120. At this time, the riding environment adjusting system requests to read parameters such as heart rate, pulse, blood oxygen saturation, body temperature, fatigue estimation value, mood signal value, mental stress score, sleep tracking value, schedule, etc. of the Face ID.

And thirdly, comprehensively analyzing and calculating the pressure index grade, the health index grade and the fatigue index grade in the range of 0-100 according to the obtained parameters. When the value of one or more of the stress index level, health index level and fatigue index level is not obtained, a default value of 0 is assigned.

(parameters for calculating stress index grade, health index grade, and fatigue index grade in the case of middle-aged or young-aged people)

Pressure index rating: comprehensively analyzing and judging by obtaining, for example, emotion signal values, mental stress scores and schedules of young passengers in the passenger name, and estimating that the current stress index grade of the passenger is in a value of 0-100;

health index rating: comprehensively analyzing and judging by acquiring the heart rate, pulse, blood oxygen saturation, body temperature and the like of the young and middle-aged people, and estimating that the current health index grade of the passenger is in a value of 0-100;

fatigue index rating: the current fatigue index level of the passenger is estimated to be a value in the range of 0 to 100 by obtaining, for example, an estimated fatigue value, a sleep tracking value, a schedule, and the like of young people in the passenger name and performing comprehensive analysis and judgment.

Selecting and generating different treatment strategies from a strategy library by the strategy generating part according to one or more values of the monitored age group parameter signal, the sitting position, the pressure index grade of the young, the health index grade and the fatigue index grade of the young, and recommending the treatment strategies. Say: the sound equipment and the like can be independently controlled according to the pressure index grade, such as playing relaxing music, starting intelligent driving assistance and the like; the air conditioner can be independently controlled according to the health index grade, for example, the temperature and the air volume of the air conditioner are controlled when the abnormal body temperature is monitored; the seat massage and the like can also be controlled according to the fatigue index grade, for example, when the higher fatigue index grade is monitored, automatic driving, five-sense stimulation awakening or seat massage relaxing and the like can be started.

The more preferable scheme is that the comfort index grade can be calculated according to the calculated stress index grade, health index grade and fatigue index grade of the young and middle-aged drivers and passengers, and weights are given, namely the index grade weight of the young and middle-aged drivers and passengers is selected.

For example, the comfort index rating value for young and middle-aged passengers

Pressure index rating 50% + health index rating 10% + fatigue index rating 40%

And selecting and generating different coping strategies from a strategy library by a strategy generating part according to the monitored age group parameter signal, the seating position and the comfort index grade of the passenger so as to recommend the coping strategies.

(grading of comfort index rating)

For example, when the comfort index level of the young passenger is level 1, it indicates that the pressure is high, the riding comfort is low, and the travel experience is poor, and at this time, the policy generation unit selects and generates the corresponding services of pressure release and sleep aid such as air conditioning comfort wind, mood light comfort, non-gravity seat opening, sound partition isolation, and the like to recommend. On the contrary, when the comfort index level of the young passenger is 5, the policy generation unit selects and generates a weak-correspondence service such as a movie, air purification, music, and the like to recommend it, which indicates that the pressure is low, the riding comfort is high, and the traveling experience is good.

After the passenger status evaluation and the seating environment adjustment are completed for the passenger on the second seat (seat 120), the seating environment adjustment system automatically enters the evaluation and adjustment for the third seat (seat 130).

(third cycle: for the occupant of seat 130)

The ride environment conditioning system obtains the seat pressure signal for the seat 130 of figure 1,

while monitoring the position of the seat 130 with a camera (human body monitoring device on board) to obtain the Face ID and age range parameter signals of the passenger sitting on the seat 130. And if the Face ID corresponding to the passenger does not exist, a new Face ID is newly established.

② in the embodiment, the output of the age range represented by the age range parameter signal is 0-4 years old, namely the seat 130 is an infant. At this time, the riding environment adjusting system requests to read parameters such as an emotion signal value, an abnormal movement signal, a heart rate, a body temperature, a fatigue estimation value, a sleep tracking value, a moisture supplement status, a mental stress score, and the like of the Face ID.

And thirdly, comprehensively analyzing and calculating the pressure index grade, the health index grade and the fatigue index grade within the range of 0-100 according to the acquired parameters. When the value of one or more of the stress index level, health index level and fatigue index level is not obtained, a default value of 0 is assigned.

(parameters for calculating stress index grade, health index grade, fatigue index grade when age group is infant)

Pressure index rating: comprehensively analyzing and judging by acquiring, for example, emotion signal values, mental stress scores, abnormal movement signals and the like of the infant, and estimating that the current stress index level of the passenger is a value between 0 and 100;

health index rating: comprehensively analyzing and judging by acquiring the heart rate, moisture supplement condition, body temperature and emotion signal value of the infant, and presuming that the current health index grade of the passenger is in a value of 0-100;

fatigue index rating: the current fatigue index level of the passenger is estimated to be a value between 0 and 100 by obtaining, for example, a fatigue estimation value, a sleep tracking value, and an abnormal operation signal of the infant and by performing comprehensive analysis and judgment.

And the evaluation result output unit outputs a parameter signal Face ID, a signal indicating the age group of the infant, a signal indicating the sitting position of the infant, and at least one index level selected from the pressure index level, the health index level, and the fatigue index level obtained by the evaluation.

The strategy generating part selects and generates different coping strategies from a strategy library according to any one or more values of the monitored age group parameter signal, the sitting position, the stress index grade, the health index grade and the fatigue index grade of the infant for recommendation. Say: the sound equipment can be controlled independently according to the pressure index grade, such as playing relaxing and sleep-helping music; the air conditioner can be independently controlled according to the health index grade, for example, the temperature and the air volume of the air conditioner are controlled when the abnormal body temperature is monitored; and light and the like can be controlled according to the fatigue index grade, for example, when the fatigue index grade is monitored to be higher, the light can be turned on to be darkened, and the easy-to-sleep-aid children song and the like can be played.

The more preferable scheme is that the comfort index grade can be calculated by giving weights according to the calculated stress index grade, health index grade and fatigue index grade of the infant passenger, namely selecting the index grade weight of the infant with the age group.

Comfort level index values for infant passengers

Pressure index rating 10% + health index rating 40% + fatigue index rating 50%

(for explanation of exponential-grade weight of infants in age group)

Since the infants belong to the stage with weaker expression ability and thought and are more prone to cry, cry and fatigue in the process of going out, the weight of the fatigue index grade is relatively high, and in addition, the health condition of the infant in one age stage is difficult to express through the infants and parents are concerned, so that the weight of the health index grade is also relatively high, but the infants bear less mental stress compared with other age stages, and therefore the weight of the stress index grade is relatively low.

Seventhly, the evaluation result output part outputs parameter signals Face ID and age class of the infants

Baby signals, seating position signals, comfort index ratings, and the like.

And selecting and generating different coping strategies from a strategy library for recommendation through a strategy generating part according to the monitored age group parameter signal, the sitting position and the comfort index grade of the passenger.

(grading of comfort index rating)

For example, when the comfort index rating of the infant is 1, the policy generation unit selects and generates a sleep aid corresponding service such as air purification, sleep aid song, window shading, infant seat rocking, and air conditioner air-out off, and recommends it because it explains that the fatigue index rating is relatively high, the riding comfort is low, and the travel experience is poor. When the comfort index level of the infant passenger is 5, it indicates that the mental state is good, the riding comfort level is high, and the travel experience is good, and therefore, the policy generation section selects and generates weak correspondence services such as early education audio, interactive games, and the like to recommend the weak correspondence services.

Passenger status evaluation and riding is completed for the passenger in the third seat (seat 130)

After the sitting environment adjustment, the sitting environment adjustment system automatically enters evaluation and adjustment for the fourth seat (seat 140).

(fourth cycle: passenger for seat 140)

The ride environment conditioning system obtains the seat pressure signal for the seat 140 of figure 1,

while monitoring the position of the seat 140 with a camera (on-board human body monitoring device) to obtain the Face ID and age range parameter signals of the passenger sitting on the seat 140. And if the Face ID corresponding to the passenger does not exist, a new Face ID is newly established.

② in the present embodiment, the age range output indicated by the age range parameter signal is 60 years or more, i.e., the old person is seated on the seat 130. At this time, the ride environment regulation system requests reading of parameters such as pulse, blood oxygen saturation, heart rate, respiratory rate, blood pressure, heart rate variability index, heart disease risk assessment, past medical history, fatigue estimation, sleep tracking, mental stress score, etc. of the Face ID.

(parameters for calculating stress index grade, health index grade, fatigue index grade for elderly people)

Pressure index rating: comprehensively analyzing and judging by acquiring the mental stress score, the past medical history and the like of the old passenger, and estimating that the current stress index grade of the old passenger is in a value of 0-100;

health index rating: comprehensively analyzing and judging by obtaining the pulse, the blood oxygen saturation, the heart rate, the respiratory rate, the blood pressure, the heart rate variability index, the heart disease risk assessment, the past medical history and the like of the old passenger, and estimating that the current health index grade of the old passenger is in a value of 0-100;

fatigue index rating: by obtaining, for example, a fatigue estimation value and a sleep tracking value of the elderly passenger, and comprehensively analyzing and judging, it is estimated that the current fatigue index rank of the passenger is in a value of 0 to 100.

And the evaluation result output unit outputs a value of at least one index level of the parameter signal Face ID, the age group signal, the sitting position signal, and the pressure index level, the health index level, and the fatigue index level obtained by the evaluation.

The strategy generating part selects and generates different coping strategies from the strategy library to recommend according to any one or more values of the monitored age group parameter signal, the sitting position, the stress index grade, the health index grade and the fatigue index grade of the old person. For example: the sound equipment can be controlled independently according to the pressure index grade, such as playing relaxing music; the air conditioner can be independently controlled according to the health index grade, for example, the temperature and the air volume of the air conditioner are controlled when the abnormal body temperature is monitored; the seat massage and the like can also be controlled according to the fatigue index grade, for example, when the fatigue index grade is monitored to be higher, the seat can be started to relax, massage and relax, and the like.

The more preferable scheme is that the comfort index grade can be calculated by giving weight according to the calculated stress index grade, health index grade and fatigue index grade of the old passenger, namely selecting the index grade weight of the old with the age group.

Comfort level index rating for elderly passengers

10% stress index rating + 60% health index rating + 30% fatigue index rating

(for explanation of exponential-grade weight of aged people)

Since the elderly have a reduced physical function and a more prominent health problem and are relatively more likely to feel sick and tired during traveling, the weight of the health index level and the fatigue index level is relatively high, and the weight of the stress index level is relatively low compared to young and middle-aged people because mental stress is relatively low.

And the evaluation result output part outputs a parameter signal Face ID, a signal of the aged, a sitting position signal, a comprehensive comfort index grade and the like.

(grading of comfort index rating)

For example, when the comfort index level of the old-aged passenger is level 1, it indicates that the physical condition is not good, the riding comfort is low, and the traveling experience is poor, and at this time, the policy generation unit selects and generates health-related services such as gravity-free seat opening, air conditioning comfort wind, window dimming, heart rate monitoring enhancement, online inquiry/online health diagnosis reservation, and so on, and recommends them. When the comfort index grade of the old passenger is 5 grade, the situation is good, the riding comfort is high, the traveling experience is good, and at the moment, the strategy generation part can select and generate weak corresponding services such as display screen playing, car sickness prevention fragrance, seat massage and the like to recommend.

After the passenger status evaluation and the seating environment adjustment are completed for the passenger on the fourth seat (seat 140), the seating environment adjustment system automatically enters the evaluation and adjustment for the fifth seat (seat 150).

(fifth wheel cycle: for the occupant of seat 150)

That is, the seat 150 in fig. 1 is empty, and therefore, the evaluation and adjustment for the fifth seat (seat 150) is completed, and the riding environment adjusting system automatically enters the evaluation and adjustment for the last seat (seat 160).

(sixth round: for the passenger of seat 160)

The ride environment conditioning system obtains the seat pressure signal for the seat 160 of figure 1,

while monitoring the position of the seat 160 with a camera (on-board human body monitoring device) to acquire the Face ID and age range parameter signals of the passenger sitting on the seat 160. And if the Face ID corresponding to the passenger does not exist, a new Face ID is newly established.

② in the present embodiment, the output of the age range represented by the age range parameter signal is 5-18 years, namely, the child is seated on the seat 160. At this time, the ride environment adjustment system requests reading of parameters such as pulse, body temperature, heart rate, respiratory rate, fatigue estimation, sleep tracking, mental stress score, mood signal value, etc. of the Face ID.

(parameters for calculating stress index grade, health index grade, fatigue index grade when the age group is newborn)

Pressure index rating: the current stress index rank of the child passenger is estimated to be a value in the range of 0 to 100 by obtaining, for example, the mental stress score, the emotional signal value, and the like of the child passenger and performing comprehensive analysis and judgment.

Health index rating: the current health index level of the child passenger is estimated to be a value in the range of 0 to 100 by obtaining, for example, pulse, body temperature, heart rate, respiratory rate, emotional signal value, and the like of the child passenger and performing comprehensive analysis and judgment.

Fatigue index rating: the current fatigue index grade of the passenger is estimated to be in a value of 0-100 by obtaining the fatigue estimation value, the sleep tracking value and the like of the child passenger and comprehensively analyzing and judging.

And the evaluation result output unit outputs values of at least one index level of the parameter signal Face ID, the signal indicating that the age group is a child, the sitting position signal, and the pressure index level, the health index level, and the fatigue index level obtained by the evaluation.

Selecting and generating different treatment strategies from a strategy library by the strategy generating part according to one or more values of the monitored age group parameter signal, the sitting position, the pressure index grade of the child, the health index grade and the fatigue index grade, and recommending the treatment strategies. For example: the sound equipment can be controlled independently according to the pressure index grade, such as playing relaxing music; the air conditioner can be independently controlled according to the health index grade, for example, the temperature and the air volume of the air conditioner are controlled when the abnormal body temperature is monitored; the seat massage can also be controlled according to the fatigue index grade, for example, when the fatigue index grade is monitored to be higher, the seat massage can be started to assist sleeping and relaxing, and the like.

The more preferable scheme is that the comfort index grade can be calculated by giving weight according to the calculated stress index grade, health index grade and fatigue index grade of the child passenger, namely selecting the index grade weight of the child with the age group.

The stress index grade, health index grade, and the like of the child are output according to algorithm logic,

And calculating the comprehensive comfort index grade by the following algorithm weight.

Comfort level rating for juvenile passengers

Pressure index rating 40% + health index rating 20% + fatigue index rating 40%

(for the explanation of the exponential rating weight of children in age group)

Because the stage of children is in a stage with higher academic pressure and is sensitive to psychological fragility,

meanwhile, the academic burden is easy to cause insufficient sleep and movement fatigue, so that the stress index grade and the fatigue index grade are relatively high in weight, but the physical condition at this stage is good, so that the health index grade is relatively low in weight.

And the evaluation result output part outputs parameter signals Face ID, signals with the age being children, sitting position signals, comprehensive comfort index grades and the like.

(grading of comfort index rating)

For example, when the comfort index level of the juvenile passenger is 1, it indicates that the mental state is not good, the riding comfort is low, and the travel experience is poor, and at this time, the policy generation section selects and generates a pressure release and health support service such as air purification, air conditioning and relaxing wind, anti-carsickness fragrance, and relaxing music for recommendation. On the contrary, when the comfort index level of the child passenger is 5, it indicates that the physical condition is good, the riding comfort is high, and the traveling experience is good, and at this time, the policy generation unit selects and generates weak correspondence services such as display screen playing, games, and seat massage to recommend them.

After the passenger status evaluation and the riding environment adjustment are completed for the passenger on the last seat (seat 160), the riding environment adjustment system ends the evaluation of the passenger status and the adjustment of the optimized riding environment.

Additional advantages and modifications will readily occur to those skilled in the art. Therefore, the invention in its broader aspects is not limited to the specific details and representative embodiments shown and described herein. Accordingly, modifications may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and their equivalents.

In the description of the embodiment of the present invention, the "driver who sits in different areas" is taken as an example for explanation, but it should be understood by those skilled in the art that the present invention is not limited to this, and for example, the different areas may be a front area, a middle area, and a rear area of a vehicle, and optimal sitting environment adjustment may be performed for the different areas such as the front area, the middle area, and the rear area, in which case the sitting environment adjustment is performed in such a manner that the requirements of infants and the elderly are considered with priority and the requirements of the young and the middle-aged are considered.

In the description of the embodiment of the present invention, the vehicle 100 having the occupant condition evaluation system of the present invention mounted thereon has six

seats

110, 120 in total including the driver's seat,

130. 140, 150, 160, the number of seats in the present invention is not limited. In addition, in the description of the embodiment or the example of the present invention, the vehicle is taken as an example for explanation, but the present invention is not limited to this, and the occupant condition evaluation system and the riding environment adjustment system of the present invention can be also applied to travel tools with interconnected functions such as bus cars, trains, ships, airplanes, and the like.

In the description of the riding environment adjusting method according to the present invention, the example is described in which different weights are given to the index levels according to the age groups of the driver and the passenger (step S260), the calculated comfort level index level is output as the evaluation result (steps S270 and S280), and then the policy generation unit selects and generates different coping policies from the policy library according to the comfort level index level for the driver and recommends the coping policies (step S290), but the present invention is not limited to this. For example, as described in the embodiment of the occupant environment adjustment system according to the present invention, at least one index level (i.e., one or more index levels) of the stress index level, the health index level, and the fatigue index level of the occupant may be output as the evaluation result, and then the policy generation unit may select and generate a different coping policy from the policy library based on the value(s) of any one or more of the stress index level, the health index level, and the fatigue index level of the occupant (i.e., the value(s) of the one or more index levels) and the monitored age group parameter signal and the seating position. In addition, in the embodiment of the ride environment conditioning system of the present invention, the optimum ride environment conditioning for all the occupants (including the driver and the passenger) is described.

For example, in the embodiment of the ride environment adjustment system of the invention, the age of the occupant is classified into four age groups of infant, young child, young and middle aged, but the invention is not limited thereto, and the infant and the young child may be combined into one age group (child), and further,

the young and middle-aged people can also be further divided into more than two age groups (young and middle-aged people).

For example, in the embodiment of the ride environment adjustment system of the invention, in the calculation of the comfort index level values for different age groups, specific numerical values of the weights of the stress index level, the health index level, and the fatigue index level for different age groups are exemplified, but the invention is not limited thereto. In addition, in the present invention, specific values of the weights for the stress index rating, the health index rating and the fatigue index rating of different ages are preset by an automobile manufacturer (OEM), but the present invention is not limited thereto, and the specific values of the weights may be individually controlled by a driver in a master-tune manner, or may be individually controlled by different drivers and passengers in a slave-tune manner according to their own needs. In addition, in order to avoid the misoperation of children, a child lock mode can be set, and the driver sets the authority of the split-dispatching control.

For example, in the embodiment of the present invention, the description has been given of the case where the entire control flow is completed after the evaluation of the occupant state and the adjustment of the occupant state for all the seats are completed by the occupant environment adjustment system, but the present invention is not limited to this, and it is also possible to continue the monitoring of the occupant state in real time or periodically after the evaluation of the occupant state and the adjustment of the occupant environment for all the seats are completed, and to perform the optimum adjustment of the occupant state in time when the occupant state changes.

For example, in the embodiment of the ride environment adjustment system of the invention, the parameters for calculating the stress index level, the health index level, the fatigue index level for different age groups are illustrated, and the coping strategies for different comfort index levels for different age groups are illustrated, but it will be appreciated by those skilled in the art that the above description is only illustrative and that changes can be made within the scope of the inventive concept. For example, the parameters may be obtained by different means, including but not limited to at least Face ID, sitting position, pulse, heart rate, body temperature, blood pressure, blood oxygen saturation, respiratory rate, sleep tracking value, fatigue estimation value, abnormal movement signal, emotional signal value, moisture replenishment status, heart rate variability index, heart disease risk assessment, mental stress score, past medical history, and scheduled signal of the occupant. For another example, the coping strategies may be implemented by specific control means such as air conditioner on/off, air conditioner temperature/air volume/purge regulation, mood light regulation, in-vehicle smell regulation, seat posture regulation, gravity-free seat function on/off, entertainment device on/off/zone control, noise control, display device content control, automatic driving assistance on/off/intensity regulation, external application interconnection device control, or a combination of a plurality of specific control means.

Claims

1. An occupant status evaluation system for evaluating the status of occupants seated in different areas, the occupant status evaluation system comprising:

the system comprises a driver signal acquisition part, a driver signal acquisition part and a driver signal acquisition part, wherein the driver signal acquisition part is used for acquiring signals of various state parameters of drivers riding in different areas as input data;

a logical operation part for obtaining evaluation results reflecting the current states of the occupants of different ages seated in different areas according to the obtained state parameters, the logic operation part is provided with an age group determining module, a parameter selecting module and an index grade evaluating module, wherein the age bracket determination module determines the age bracket of the occupant based on the one or more status parameters acquired by the occupant signal acquisition unit, the parameter selection module determines one or more of the status parameters corresponding to the age bracket of the occupant based on the age bracket of the occupant determined by the age bracket determination module, the index grade evaluation module evaluates one or more index grades by using one or more state parameters corresponding to the age bracket of the driver and the passenger; and

an evaluation result output section for outputting a value of one or more of the index ranks as the evaluation result.

2. The occupant status evaluation system according to claim 1,

the logic operation part is also provided with a weight determination module and a comfort index grade calculation module, wherein the weight determination module determines the weight occupied by a plurality of index grades for calculating the comfort index grade corresponding to the age of the driver according to the age of the driver determined by the age determination module,

the comfort degree index grade calculation module is corresponding to the determined age bracket of the driver and obtains the comfort degree index grade through calculation according to the values of the index grades estimated by the index grade estimation module and the weight determined by the weight determination module,

the evaluation result output section outputs the comfort index level as the evaluation result.

3. The occupant status evaluation system according to claim 2,

the age group determining module at least determines the ages of drivers and passengers into four age groups of infants, children, young and middle-aged people and old people,

according to different age groups of drivers and passengers determined by the age group determination module, weights occupied by the index grades determined by the weight determination module are different.

4. The occupant status evaluation system according to claim 1 or 2,

the plurality of index ratings includes at least a stress index rating, a health index rating and a fatigue index rating,

according to different age groups of the driver and the passenger determined by the age group determination module, the state parameters used by the stress index grade, the health index grade and the fatigue index grade are different.

5. An occupant status evaluation system according to claim 1 or 2,

the driver and passenger signal acquisition part can at least acquire the Face ID, the sitting position, the pulse, the heart rate, the body temperature, the blood pressure, the blood oxygen saturation, the respiratory rate, the sleep tracking value, the fatigue estimation value, the abnormal action signal, the emotion signal value, the moisture supplement condition, the heart rate variability index, the heart disease risk assessment, the mental stress score, the past medical history and the schedule signal of the driver and passenger through different ways.

6. The occupant status evaluation system according to claim 5,

the state parameters used by the exponential rating evaluation module include at least the mood signal value, the movement abnormality signal, the heart rate, the body temperature, the fatigue estimation value, the sleep tracking value, the moisture replenishment condition, the stress score when the age group determination module determines that the age group of the driver is an infant.

7. The occupant status evaluation system according to claim 5,

when the age group determination module determines that the age group of the driver and the passenger is a young child, the state parameters used by the index rating evaluation module at least include the pulse, the body temperature, the heart rate, the breathing rate, the fatigue estimation value, the sleep tracking value, the mental stress score and the emotional signal value.

8. The occupant status evaluation system according to claim 5,

when the age group determination module determines that the age group of the driver and the passenger is young and middle-aged, the state parameters used by the index level evaluation module at least include the heart rate, the pulse, the blood oxygen saturation, the body temperature, the fatigue estimation value, the mood signal value, the mental stress score, the sleep tracking value, and the schedule.

9. The occupant status evaluation system according to claim 5,

when the age group determination module determines that the age group of the driver is elderly, the state parameters used by the index rating evaluation module at least include the pulse, the blood oxygen saturation, the heart rate, the respiratory rate, the blood pressure, the heart rate variability index, the cardiac disease risk evaluation, the past medical history, the fatigue estimation value, the sleep tracking value, and the mental stress score.

10. The occupant status evaluation system according to claim 1 or 2,

the occupant condition evaluation system further includes a policy generation unit that selects and generates different coping policies for recommendation, based on the evaluation result regarding the occupant output by the evaluation result output unit.

11. The occupant status evaluation system according to claim 10,

the coping strategy at least comprises the following specific control means or the combination thereof: air conditioner on/off, air conditioner temperature/air volume/purge adjustment, mood light adjustment, in-vehicle odor adjustment, seat attitude adjustment, gravity-free seat function on/off, entertainment device on/off/zone control, noise control, display device content control, automatic driving assistance on/off/intensity adjustment, external application interconnection device control.

12. A riding environment adjusting method for adjusting a riding environment in an optimum manner for occupants in different areas using the occupant condition evaluating system according to any one of claims 1 to 11,

when it is determined that an occupant is present in a certain area or a certain seat, the age bracket determination module in the logical operation unit of the occupant status evaluation system determines the age bracket of the occupant located in the area or the seat, selects and uses different status data to obtain evaluation results reflecting the current status of the occupants seated in the area or the seat according to different age brackets of the occupant, and then selects and generates different coping strategies to recommend the occupant according to the evaluation results.

13. The ride environment conditioning method of claim 12,

the evaluation method includes selecting values of different index grades for calculating comfort index grades as evaluation results using different state data evaluations corresponding to different age groups of an occupant, selecting different weights of the index grades corresponding to the different age groups of the occupant, calculating the comfort index grade related to the occupant, and then selecting and generating different coping strategies for recommendation according to the comfort index grade related to the occupant.

14. A riding environment adjusting system equipped with the occupant condition evaluation system according to any one of claims 1 to 11,

the ride environment adjustment system executes, for each different area or each different seat, a ride environment adjustment strategy that matches the evaluation result obtained based on the state of the occupant at each different area or each different seat.

15. The ride environment conditioning system of claim 14,

after the evaluation of the state of the occupant and the adjustment of the sitting environment are completed for the occupant of one area or seat, the system automatically enters the evaluation and adjustment for the next area or seat until the evaluation of the state of the occupant and the adjustment of the sitting environment are completed for all the areas or seats.

16. The ride environment conditioning system of claim 15,

after the evaluation of the state of the driver and the adjustment of the riding environment of all the areas or all the seats are finished, the state of the driver and the passengers is continuously monitored in real time or periodically, and the optimized adjustment of the riding environment is carried out in time when the state of the driver and the passengers is changed.

17. The ride environment conditioning system of claim 16,

the riding environment adjusting system can be carried on a travel tool with an interconnection function.