Information processing device, mobile body, and program

Abstract

To enable proper estimation of a bleeding amount of an occupant of a mobile body.SOLUTION: An information processing device (1) comprises an acquisition unit (100) configured to acquire a detection signal from a sensor (20) arranged on a seat of a mobile body and detecting vibration transmitted from an occupant seated on the seat to the seat, and an estimation unit (101) configured to estimate a bleeding amount of the occupant based on the detection signal acquired by the acquisition unit (100).SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, a mobile object, and a program. [Background technology]

[0002] Patent Document 1 discloses an occupant injury estimation server that inputs video data received from an imaging device that captures images of the inside of a vehicle into an estimation model and estimates injuries to occupants caused by a vehicle accident. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2020-177444 Summary of the Invention [Problem to be solved by the invention]

[0004] However, at the scene of a mobile vehicle accident, there are situations where it is difficult to estimate the amount of bleeding from video data, such as when an occupant of a mobile vehicle is suffering from internal bleeding. One aspect of the present disclosure aims to provide an information processing device that can accurately estimate the amount of bleeding of an occupant of a mobile vehicle. [Means for solving the problem]

[0005] In order to solve the above problem, an information processing device according to one aspect of the present disclosure includes an acquisition unit that acquires a detection signal from a sensor that is disposed in a seat of a moving body and detects vibrations transmitted to the seat from an occupant seated in the seat, and an estimation unit that estimates the amount of bleeding of the occupant based on the detection signal acquired by the acquisition unit.

[0006] The information processing device according to each aspect of the present disclosure may be realized by a computer. In this case, the information processing device program that causes the computer to operate as each part (software element) of the information processing device to realize the information processing device on the computer, and the computer-readable recording medium on which the program is recorded, also fall within the scope of the present disclosure. [Effects of the Invention]

[0007] According to one aspect of the present disclosure, the amount of bleeding of an occupant of a moving body can be accurately estimated. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a diagram illustrating an example of an internal structure of a moving body equipped with an information processing device according to a first embodiment of the present disclosure. [Figure 2] FIG. 2 is a diagram used to explain the arrangement position of a sensor. [Figure 3] 1 is a diagram illustrating an example of a configuration of an information processing device according to a first embodiment of the present disclosure. [Figure 4] FIG. 10 is a diagram used to explain a method for estimating the amount of bleeding based on the heart rate and respiratory rate. [Figure 5] 4 is a diagram used to explain the processing of the determination unit in FIG. 3. [Figure 6] 10 is a flowchart illustrating a flow of processing of an information processing device according to an embodiment of the present disclosure. [Figure 7] 10 is a flowchart showing a process executed by an estimation unit to estimate the urgency of an injury to an occupant. DETAILED DESCRIPTION OF THE INVENTION

[0009] [Embodiment 1] FIG. 1 is a diagram illustrating an example of the internal structure of a vehicle equipped with an information processing device according to a first embodiment of the present disclosure. Hereinafter, the front-rear direction and the left-right direction will be defined as indicated by the arrows in FIG. 1. The vehicle 200 illustrated in FIG. 1 is an automobile, and is equipped with seats 2A, 2B, and 2C in the vehicle interior where passengers can sit. Seat 2A is the driver's seat of the vehicle 200, seat 2B is the passenger seat of the vehicle 200, and seat 2C is the rear seat of the vehicle 200, and two passengers can be seated therein.

[0010] The information processing device 1 is mounted on a moving object 200. The information processing device 1 is placed in a position where it is less susceptible to the effects of accidents such as collisions. In FIG. 1, the information processing device 1 is placed under a seat 2C.

[0011] In seats 2A, 2B, and 2C shown in Fig. 1, a sensor 20 and a seating detection unit 21 are disposed at each seating position. In seats 2A and 2B, a sensor 20 is disposed to the left of the center of the seat surface, and one seating detection unit 21 is disposed at the position of the seat belt buckle. In seat 2C, which has two seating positions, one sensor 20 is disposed at the left of the center of the seat surface at each seating position. In addition, in seat 2C, one seating detection unit 21 is disposed at the position of the seat belt buckle for each seating position.

[0012] The sensor 20 detects vibrations transmitted from a seated occupant to the seat and outputs a detection signal corresponding to the detected vibrations. For example, the sensor 20 is a piezoelectric sensor that detects ballistocardiograms of the seated occupant.

[0013] The seat belt wearing detection unit 21 detects that the occupant is wearing a seat belt. For example, the seat belt wearing detection unit 21 detects that the occupant is wearing a seat belt when the tongue of the seat belt is inserted into the buckle of the seat belt.

[0014] Fig. 2 is a diagram used to explain the placement position of the sensor. As shown in Fig. 2, sensor 20 is placed on the seat surface of seat 2A, and is located near ischial tuberosities 30 of occupant P seated in seat 2A. By placing sensor 20 on the seat surface, if moving body 200 is involved in a collision accident, even if occupant P leans forward due to inertial force, vibrations transmitted from the occupant to the seat can be detected.

[0015] FIG. 3 is a diagram illustrating an example configuration of an information processing device according to the first embodiment of the present disclosure. As illustrated in FIG. 3, the information processing device 1 includes a control unit 10, a storage unit 11, and a communication unit 12. The control unit 10 includes, for example, a central processing unit (CPU) and a random access memory (RAM). The storage unit 11 includes, for example, a hard disk drive (HDD), a solid state drive (SSD), or the like. The storage unit 11 may be a non-volatile storage medium that is detachable from the information processing device 1. The storage unit 11 stores a program executed by the control unit 10. The communication unit 12 is, for example, a communication module that connects to a mobile phone network.

[0016] The main power source 3 and the backup power source 4 are mounted on the moving body 200 and supply power to the information processing device 1, the sensor 20, and the wearing detection unit 21. The main power source 3 is an example of a first power source. The main power source 3 is, for example, a battery mounted on the moving body 200 and is used to drive electrical components of the moving body 200. The backup power source 4 is an example of a second power source. The backup power source 4 supplies power to the information processing device 1, the sensor 20, and the wearing detection unit 21 when a malfunction occurs in the main power source 3 due to an accident. The backup power source 4 is placed in a position that is unlikely to be affected by an accident such as a collision, for example, under a seat 2C. The backup power source 4 has a capacity that allows it to continuously supply power at least until an ambulance or the like arrives at the accident scene.

[0017] The information processing device 1 is connected to a notification device 5. The notification device 5 is, for example, a display device, a speaker, a lighting device, etc. The display device includes, for example, a monitor of a navigation device, a monitor for providing video content arranged in the mobile body 200, and an information terminal carried by the occupant P. The lighting device includes, for example, a headlamp, a brake lamp, a turn signal lamp, a hazard lamp, etc.

[0018] The control unit 10 functions as an acquisition unit 100, an estimation unit 101, a determination unit 102, a notification unit 103, and a storage unit 104 by executing a program stored in the storage unit 11 or the like.

[0019] The acquisition unit 100 acquires a detection signal from the sensor 20 at predetermined time intervals. The predetermined time is, for example, two seconds. The predetermined time may be changed depending on the state of the moving body 200. For example, the predetermined time may be shortened after the moving body 200 has been involved in a collision accident. The acquisition unit 100 may acquire a detection signal indicating that an occupant is fastening a seat belt from the fastening detection unit 21. The detection signal acquired by the acquisition unit 100 is input to the estimation unit 101, the determination unit 102, the notification unit 103, and the storage unit 104.

[0020] The estimation unit 101 estimates the amount of bleeding of the occupant P based on the detection signal acquired by the acquisition unit 100. More specifically, the estimation unit 101 estimates the heart rate and respiratory rate of the occupant P based on the detection signal acquired by the acquisition unit 100, and estimates the amount of bleeding of the occupant P based on the estimated heart rate and respiratory rate of the occupant P. Methods for estimating the heart rate of the occupant P from the ballistocardiogram of the occupant detected by the sensor 20 are well known, and therefore a detailed description thereof will be omitted here.

[0021] 4 is a diagram used to explain a method for estimating the amount of bleeding based on the heart rate and respiratory rate. As shown in Fig. 4, when the heart rate of the occupant P is 100 beats per minute or less and the respiratory rate of the occupant P is 14 to 20 breaths per minute or less, the estimation unit 101 estimates that the amount of bleeding of the occupant P is less than 15% of the blood volume of the occupant P (Level 1), for example.

[0022] It is said that the amount of circulating blood in a human being is approximately 1 / 12 (for men) to 1 / 13 (for women) of their body weight. If passenger P weighs 60 kg, his or her blood volume is approximately 4 to 5 L. In this case, the amount of blood loss, which is 15% of the blood volume, is approximately 600 to 750 mL.

[0023] For example, if the occupant P's heart rate is within the range of 100 to 120 beats per minute and the occupant P's respiratory rate is within the range of 20 to 30 breaths per minute, the estimation unit 101 estimates that the amount of bleeding from the occupant P is 15 to 30% of the occupant P's blood volume (level 2).

[0024] For example, if the occupant P's heart rate is within the range of 120 to 140 beats per minute and the occupant P's respiratory rate is within the range of 30 to 40 breaths per minute, the estimation unit 101 estimates that the amount of bleeding from the occupant P is 30 to 40% of the occupant P's blood volume (level 3).

[0025] For example, if occupant P's heart rate is 140 beats per minute or more and occupant P's respiratory rate is 35 breaths per minute or more, the estimation unit 101 estimates that occupant P's bleeding volume is 40% or more of occupant P's blood volume (level 4).

[0026] When the estimation result based on the heart rate per minute of the occupant P and the estimation result based on the respiratory rate per minute of the occupant P differ, the estimation unit 101 may acquire the larger estimated value of the amount of bleeding of the occupant P as the estimated value. Alternatively, the estimation unit 101 may acquire the average value of the estimated value based on the heart rate per minute of the occupant P and the estimated value based on the respiratory rate per minute of the occupant P as the estimated value of the amount of bleeding of the occupant P.

[0027] The estimation unit 101 also estimates the urgency of the injury of the occupant P based on the estimation results of the amount of bleeding, heart rate, and respiratory rate of the occupant P. The urgency of the injury of the occupant P is estimated into four levels, for example, urgency 0 (highest urgency), I (urgent), II (semi-urgent), and III (standby). The process by which the estimation unit 101 estimates the urgency of the injury of the occupant P will be described later.

[0028] The determination unit 102 in Fig. 3 determines whether or not the moving object 200 has been involved in a collision accident based on the detection signal acquired by the acquisition unit 100. Fig. 5 is a diagram used to explain the processing of the determination unit in Fig. 3. Fig. 5 illustrates an example of a change over time in the voltage V of the detection signal acquired from the sensor 20 by the acquisition unit 100. In Fig. 5, the occupant P sits in the seat 2A just before time T1, so the absolute value of the detection signal from the sensor 20 increases gradually. Furthermore, just before time T2, the moving object 200 has been involved in a collision accident, so the absolute value of the detection signal from the sensor 20 increases sharply.

[0029] For example, when the detection signal acquired by the acquisition unit 100 from the sensor 20 satisfies both of the following determination conditions (1) and (2), the determination unit 102 determines that the moving object 200 has caused a collision accident. (1) The absolute value |V(t)| of the detection signal acquired by the acquisition unit 100 from any one of the sensors 20 arranged in the moving object 200 is equal to or greater than the first threshold value Vth. (2) The gradient dV / dt of the time change of the detection signal acquired by the acquisition unit 100 from any one of the sensors 20 arranged in the moving body 200 is equal to or greater than the second threshold value.

[0030] The first threshold is a value that is not exceeded by normal ballistocardiogram of the occupant P, but may be exceeded when the occupant P moves his / her body, and is a value that is determined in advance at the design stage of the information processing device 1. In Fig. 5, at times T1 and T2, the absolute value |V(t)| of the voltage of the detection signal is equal to or greater than the first threshold Vth.

[0031] The second threshold is a value that will not be exceeded by vibrations when an occupant P is seated, and is a value that is determined in advance at the design stage of the information processing device 1. That is, in Fig. 5, the gradient dV / dt(T1) of the time change in voltage of the detection signal at time T1 is less than the second threshold, and dV / dt(T2) is equal to or greater than the second threshold.

[0032] For example, at time T1, the determination unit 102 determines that the moving body 200 has not caused a collision accident because the determination condition (2) is not satisfied. On the other hand, at time T2, the determination unit 102 determines that the moving body 200 has caused a collision accident because both the determination conditions (1) and (2) are satisfied.

[0033] The determination unit 102 may further use the signal acquired by the acquisition unit 100 from the seating detection unit 21 to determine whether the moving object 200 has been involved in a collision accident. For example, the determination unit 102 may use only the detection signal acquired from the sensor 20 arranged in the moving object 200, which is arranged in a seat or seating position where a seat belt is fastened.

[0034] The notification unit 103 in Fig. 3 notifies the inside and outside of the moving body 200 of the urgency of the injury of the occupant P estimated by the estimation unit 101 via the notification device 5. When the notification unit 103 uses a speaker of the moving body 200 as the notification device 5 to make the notification, the notification unit 103 may output a sound corresponding to the estimation result of the urgency of the injury of the occupant P estimated by the estimation unit 101 at a volume that can be heard outside the moving body 200. When making the notification via the speaker, the notification unit 103 may give simple instructions to the occupant P to check the level of consciousness of the occupant P.

[0035] When using sequential blinkers, which are a type of turn signal lamp, as the notification device 5 to notify, the notification unit 103 may turn on the number of lamps according to the urgency of the injury of the occupant P. For example, one lamp may be turned on when the urgency is III (standby), two lamps may be turned on when the urgency is II (semi-urgent), three lamps may be turned on when the urgency is I (urgent), and four lamps may be turned on when the urgency is 0 (maximum urgency).

[0036] When the notification unit 103 uses headlights and taillights as the notification device 5 to provide notification, the notification unit 103 may turn on lights corresponding to the seating position of the occupant P in a manner corresponding to the urgency of the occupant P's injury. For example, for an occupant P seated in seat 2A, the headlight on the right side of the vehicle 200 may be flashed a number of times corresponding to the urgency of the occupant P's injury. For an occupant P seated in seat 2B, the headlight on the left side of the vehicle 200 may be flashed a number of times corresponding to the urgency of the occupant P's injury. For an occupant P seated in seat 2C, the taillight corresponding to the occupant P's seating position may be flashed a number of times corresponding to the urgency of the occupant P's injury. The notification unit 103 may be configured to notify the urgency of the injury of an occupant P of the vehicle 200 whose injury is most urgent.

[0037] The alarm unit 103 may use a lamp dedicated to alarm as the alarm device 5 to make an alarm, and may emit light in a color according to the urgency of the injury of the occupant P. For example, the color indicating urgency I (urgent) is red. The color indicating urgency II (semi-urgent) is yellow. The color indicating urgency III (standby) is green. The color indicating urgency 0 (highest urgency) is black. The light indicating the urgency may be expressed, for example, by coloring white light with a color filter. Black may be expressed by being turned off. The lamp dedicated to alarm may be arranged outside the vehicle 200 or at each seating position. It may be arranged to make an alarm for all occupants P seated in the vehicle 200, or it may be arranged to make an alarm for the occupant P whose injury is the most serious.

[0038] When the determination unit 102 determines that the moving body 200 has caused a collision accident, the saving unit 104 saves data on the detection signals and the like acquired by the acquisition unit 100 after a timing that is a predetermined time before the timing of the accident occurrence in the memory unit 11. The data that the saving unit 104 saves in the memory unit 11 is not limited to the detection signals acquired by the acquisition unit 100, but may also save the estimation results of the estimation unit 101, the determination results of the determination unit 102, information on the operation amounts of the operation members of the moving body 200, images captured by a camera provided in the moving body 200, and the like. Examples of the operation members of the moving body 200 include an accelerator pedal, a brake pedal, and a steering wheel. The cameras provided in the moving body 200 include, for example, a camera that captures images of the surroundings of the moving body 200, a camera that captures images of the interior space where the occupant P of the moving body 200 is seated, and the like.

[0039] 6 is a flowchart showing a flow of processing by an information processing device according to an embodiment of the present disclosure. When power supply to the information processing device 1 starts, the control unit 10 of the information processing device 1 starts the processing shown in FIG.

[0040] 6, the control unit 10 of the information processing device 1 determines whether or not power is being normally supplied from the main power source 3. When the power supply from the main power source 3 is lost due to an accident of the moving body 200 or the like, the control unit 10 switches to power supply from the backup power source 4. When the power supply from the backup power source 4 is also lost, the control unit 10 ends the processing of FIG.

[0041] In S100, the control unit 10 functions as the acquisition unit 100 and starts acquiring detection signals. Thereafter, the control unit 10 acquires detection signals at predetermined time intervals from the sensors 20 and the wearing detection unit 21 arranged at each seating position of the moving body 200. In the following S110, the control unit 10 functions as the estimation unit 101 and starts estimating the biometric information of the occupant P based on the detection signals acquired by the acquisition unit 100.

[0042] In the following S120, the control unit 10 functions as the determination unit 102 and determines whether or not the moving object 200 has caused a collision accident based on the detection signal acquired by the acquisition unit 100. For example, if the detection signal acquired by the acquisition unit 100 does not satisfy both of the above-mentioned determination conditions (1) and (2) (S120: NO), the control unit 10 makes the determination of S120 based on a detection signal newly acquired by the acquisition unit 100. For example, if the control unit 10 determines that the detection signal acquired by the acquisition unit 100 satisfies both of the above-mentioned determination conditions (1) and (2), the control unit 10 determines that the moving object 200 has caused a collision accident (S120: YES), and proceeds to the processing of S130.

[0043] In the following S130, the control unit 10 functions as the estimation unit 101, and estimates the heart rate and respiratory rate of the occupant P based on the detection signals acquired by the acquisition unit 100, and estimates the amount of bleeding of the occupant P based on the estimation results. For example, as shown in FIG. 4, the control unit 10 estimates the amount of bleeding of the occupant P based on the estimation results of the heart rate and respiratory rate of the occupant P.

[0044] In the following S140, the control unit 10 functions as the estimation unit 101 and estimates the urgency of the injury of the occupant P based on the estimation results of the amount of bleeding, heart rate, and respiratory rate of the occupant P. An example of the processing executed in S140 will be described later with reference to FIG.

[0045] In the next S150, the control unit 10 functions as the notification unit 103, and issues a notification based on the estimation result of the urgency of the injury of the occupant P estimated in S140 via the notification device 5. As a result, the urgency of the injury of the passenger P of the moving body 200 involved in the collision accident is notified to those inside and outside the moving body 200.

[0046] In the next S160, the control unit 10 determines whether or not to end the notification made in S150. For example, if a predetermined operation is performed by the occupant P of the moving body 200 or an emergency medical personnel who has arrived at the accident scene, the control unit 10 determines to end the notification (S160: YES), and ends the processing in Fig. 6. If the predetermined operation is not performed, the control unit 10 determines to continue the notification (S160: NO), and proceeds to the processing of S130.

[0047] 7 is a flowchart showing the flow of the process of estimating the urgency of an injury to an occupant, which is executed by the estimation unit 101. The process of the estimation unit 101 shown in FIG. 7 is executed for each occupant P of the moving body 200, for example, in S140 of FIG.

[0048] In S200, the control unit 10 determines whether or not the occupant P is moving. For example, the control unit 10 determines that the occupant P is moving when the absolute value |V(t)| of the detection signal acquired by the acquisition unit 100 from the sensor 20 is equal to or greater than the first threshold value Vth. The control unit 10 may determine whether or not the occupant P is moving based on an image of the occupant P captured using an imaging device such as a camera. For an occupant P who is moving (S200: Yes), the control unit 10 determines the urgency of the injury of the occupant P to be "Green: III (Waiting)" (S300). For an occupant P who is not moving (S200: No), the control unit 10 proceeds to the processing of S210.

[0049] In S210, the control unit 10 determines whether the occupant P is breathing. The control unit 10 determines whether the occupant P is breathing, for example, based on the estimated value of the breathing rate of the occupant P estimated by the estimation unit 101. For example, if the estimated value of the breathing rate of the occupant P estimated by the estimation unit 101 is less than 14 breaths per minute, the control unit 10 determines that the occupant P is not breathing. For the occupant P determined to be breathing (S210: Yes), the control unit 10 proceeds to the processing of S220. For the occupant P determined not to be breathing (S210: No), the control unit 10 proceeds to the processing of S230.

[0050] In S220, the control unit 10 determines whether or not the occupant P is bleeding. The control unit 10 determines whether or not the occupant P is bleeding, for example, based on the estimated value of the amount of bleeding of the occupant P estimated by the estimation unit 101. For example, the control unit 10 may determine that the occupant P is not bleeding if the estimated value of the amount of bleeding of the occupant P estimated by the estimation unit 101 is less than 15% of the occupant P's body weight. For the occupant P determined to be bleeding (S220: Yes), the control unit 10 proceeds to the processing of S240. For the occupant P determined not to be bleeding (S220: No), the control unit 10 proceeds to the processing of S250.

[0051] In S230, the control unit 10 determines whether or not the occupant P has a heartbeat. The control unit 10 determines whether or not the occupant P has a heartbeat, for example, based on the estimated value of the occupant P's heartbeat estimated by the estimation unit 101. For example, if the estimated value of the occupant P's heartbeat estimated by the estimation unit 101 is equal to or less than a predetermined threshold and 10 minutes or more have passed since the occurrence of the collision accident (S230: None, 10 minutes have passed), the control unit 10 determines the urgency of the injury of the occupant P to be "black: 0 (highest urgency)" (S301). Here, the predetermined threshold is, for example, a value less than 100 beats per minute. If the estimated value of the heart rate of the occupant P estimated by the estimation unit 101 is greater than a predetermined threshold, or if the estimated value of the heart rate of the occupant P estimated by the estimation unit 101 is equal to or less than the predetermined threshold and less than 10 minutes have elapsed since the time of the collision accident (S230: Yes, or no and less than 10 minutes), the control unit 10 determines the urgency of the injury of the occupant P to be "red: I (urgent)" (S302).

[0052] In S240, if the heart rate and respiratory rate of the occupant P correspond to level 1 or 2 in the index shown in Fig. 4 (corresponding to S240: levels 1 and 2), the control unit 10 determines the urgency of the injury of the occupant P as "yellow: II (semi-urgent)" (S303). If the heart rate and respiratory rate of the occupant P correspond to level 3 or 4 in the index shown in Fig. 4 (corresponding to S240: levels 3 and 4), the control unit 10 determines the urgency of the injury of the occupant P as "red: I (urgent)" (S304).

[0053] In S250, if the breathing rate of the occupant P is 10 breaths / minute or more and less than 30 breaths / minute, the control unit 10 proceeds to processing of S260, and if the breathing rate of the occupant P is 30 breaths / minute or more or less than 10 breaths / minute, the urgency of the injury of the occupant P is determined to be "red: I (urgent)" (S304).

[0054] In S260, if the heart rate of the occupant P is less than 120 beats per minute, the control unit 10 proceeds to the process of S270, and if the heart rate of the occupant P is 120 beats per minute or more, or if the occupant P is not being touched, the control unit 10 determines the urgency of the injury of the occupant P to be "Red: I (urgent)" (S304). Here, if the occupant P is not being touched, for example, this means that the detection signal of the sensor 20 is equal to or less than the third threshold value. The third threshold value is smaller than the first threshold value Vth.

[0055] In S270, the control unit 10 determines the level of consciousness of the occupant P. If the occupant P does not respond to a simple command, the control unit 10 determines the urgency of the injury of the occupant P as "red: I (urgent)," and if the occupant P responds to a simple command, the control unit 10 determines the urgency of the injury of the occupant P as "yellow: II (semi-urgent)" (S305). Here, a case in which the occupant P does not respond to a simple command refers to, for example, a case in which the occupant P does not perform a predetermined operation within a predetermined time period in accordance with a voice command via a speaker or the like. The predetermined operation is, for example, an operation to report the occurrence of an accident.

[0056] [Embodiment 2] A second embodiment of the present disclosure will be described below. For ease of explanation, the same reference numerals will be used to designate components having the same functions as those described in the first embodiment, and the description thereof will not be repeated.

[0057] The information processing device 1 according to the second embodiment of the present disclosure differs from the first embodiment in the method of estimating the amount of bleeding of the occupant P by the estimation unit 101. In the information processing device 1 according to the second embodiment of the present disclosure, the estimation unit 101 estimates the seat pressure applied by the occupant P to the seat 2A, etc., based on the detection signal acquired by the acquisition unit 100, and estimates the amount of bleeding of the occupant P based on a change in the estimated result of the seat pressure before and after the determination unit 102 determines that the moving body 200 has caused a collision accident.

[0058] It is known that whether or not tachycardia occurs when a large amount of blood is lost varies from person to person. By estimating the amount of blood loss from the occupant P based on changes in the estimated results of seat pressure, it is possible to accurately estimate the amount of blood loss even for occupant P who do not experience tachycardia when bleeding heavily.

[0059] In the information processing device 1 according to the second embodiment of the present disclosure, the process of estimating the seat pressure before the accident may be omitted by having the occupant P input their weight in advance at any time before the accident occurs, such as when they board the moving body 200.

[0060] [Embodiment 3] A third embodiment of the present disclosure will be described below. For ease of explanation, the same reference numerals will be used to designate components having the same functions as those described in the first and second embodiments, and the description thereof will not be repeated.

[0061] The information processing device 1 according to the third embodiment of the present disclosure differs from the first and second embodiments in the method by which the estimation unit 101 estimates the amount of bleeding of the occupant P. In the information processing device 1 according to the third embodiment of the present disclosure, the estimation unit 101 estimates the heart sounds of the occupant P based on the detection signal acquired by the acquisition unit 100, and estimates the amount of bleeding of the occupant based on a change in the estimated heart sounds before and after the determination unit 102 determines that the moving body 200 has caused a collision accident.

[0062] In emergency medical situations, FAST (Focused Assessment with Sonography for Trauma) may be used to check for the presence or absence of bleeding. A piezoelectric sensor is a sensor that generates a voltage in response to external vibrations, and may be used as an ultrasound probe or the like in FAST. In a second embodiment of the present disclosure, the sensor 20 is a piezoelectric sensor that detects the heart sounds of the heart of the occupant P, which is an ultrasonic sound source. The estimation unit 101 estimates the heart sounds of the occupant P based on the detection signal of the sensor 20. The estimation unit 101 may estimate the amount of bleeding based on the heart sounds of the occupant P estimated before and after the accident.

[0063] (Action and effect) As described above, the information processing device 1 according to this embodiment provides the following advantageous effects.

[0064] The information processing device 1 includes an acquisition unit 100 that acquires a detection signal from a sensor 20 that is disposed in a seat 2A or the like of the moving body 200 and detects vibrations transmitted to the seat 2A or the like from an occupant P seated in the seat 2A or the like, and an estimation unit 101 that estimates the amount of bleeding of the occupant P based on the detection signal acquired by the acquisition unit 100. With the above configuration, the amount of bleeding of the occupant P of the moving body 200 can be appropriately estimated.

[0065] The estimation unit 101 estimates the heart rate and respiratory rate of the occupant P based on the detection signal acquired by the acquisition unit 100, and estimates the amount of bleeding from the occupant P based on the estimated heart rate and respiratory rate of the occupant P. When heavy bleeding occurs due to internal bleeding, such as when the occupant P breaks a pelvis, it is difficult to estimate the amount of bleeding from an external image of the occupant captured by a camera or the like. With the above configuration, the amount of bleeding from the occupant P is estimated based on the heart rate and respiratory rate of the occupant P, so the amount of bleeding can be accurately estimated even in the case of heavy internal bleeding.

[0066] The estimation unit 101 further estimates the urgency of the injury of the occupant P based on the estimation results of the amount of bleeding, heart rate, and respiratory rate of the occupant P. The information processing device 1 further includes a notification unit 103 that notifies the inside and outside of the moving body 200 of the urgency of the injury of the occupant P. According to the above configuration, by notifying the urgency of the injury of the occupant P based on the estimation results of the amount of bleeding, heart rate, and respiratory rate of the occupant P, it is possible to encourage people around the accident site to report the incident and take life-saving measures.

[0067] The information processing device 1 further includes a determination unit 102 that determines whether the moving object 200 has been involved in a collision accident based on the detection signal acquired by the acquisition unit 100. The estimation unit 101 estimates the seat pressure applied by the occupant P to the seat 2A, etc., based on the detection signal acquired by the acquisition unit 100, and estimates the amount of bleeding from the occupant P based on changes in the estimated result of seat pressure before and after the determination unit 102 determines that the moving object 200 has been involved in a collision accident. It is known that whether or not tachycardia occurs when a large amount of bleeding occurs varies from person to person. According to the above configuration, by estimating the amount of bleeding from the occupant P based on changes in the estimated result of seat pressure, it is possible to properly estimate the amount of bleeding even for occupant P who do not experience tachycardia when bleeding heavily.

[0068] The information processing device 1 further includes a determination unit 102 that determines whether or not the moving body 200 has been involved in a collision accident based on the detection signal acquired by the acquisition unit 100. The estimation unit 101 estimates the heart sounds of the occupant P based on the detection signal acquired by the acquisition unit 100, and estimates the amount of bleeding of the occupant P based on a change in the estimated heart sounds before and after the determination unit 102 determines that the moving body 200 has been involved in a collision accident. With the above configuration, the amount of bleeding of the occupant P of the moving body 200 can be appropriately estimated.

[0069] The moving body 200 includes an information processing device 1, a sensor 20, a main power supply 3 that supplies power to the sensor 20 and the information processing device 1, and a backup power supply 4 that supplies power to the sensor 20 and the information processing device 1 when a problem occurs in the main power supply 3. With the above configuration, after the moving body 200 has been involved in a collision accident, it is possible to continue processing such as estimating the amount of bleeding of an occupant P of the moving body 200.

[0070] [Software implementation example] The functions of the information processing device 1 (hereinafter referred to as the "device") can be realized by a program that causes a computer to function as the device, and a program that causes a computer to function as each control block of the device (particularly each part included in the control unit 10).

[0071] In this case, the device includes a computer having at least one control device (e.g., a processor) and at least one storage device (e.g., a memory) as hardware for executing the program. The control device and storage device execute the program, thereby realizing the functions described in each of the above embodiments.

[0072] The program may be non-transitory and may be recorded on one or more computer-readable recording media. The recording media may or may not be included in the device. In the latter case, the program may be supplied to the device via any wired or wireless transmission medium.

[0073] In addition, some or all of the functions of each of the control blocks can be realized by logic circuits. For example, integrated circuits in which logic circuits that function as each of the control blocks are formed are also included in the scope of the present disclosure. In addition, the functions of each of the control blocks can also be realized by, for example, a quantum computer.

[0074] Furthermore, each process described in each of the above embodiments may be executed by AI (Artificial Intelligence). In this case, the AI ​​may run on the control device or on another device (for example, an edge computer or a cloud server).

[0075] (Variation) In the above-described embodiments 1 to 3, the information processing device 1 is mounted on an automobile, but the same effects as those described above can be obtained even when the information processing device 1 is mounted on a moving body other than an automobile. For example, the information processing device 1 may be mounted on a moving body such as a bus, a taxi, a train, an airplane, or a ship.

[0076] In the above-described embodiments 1 to 3, the sensor 20 is a piezoelectric sensor. However, any sensor can be used as the sensor 20 as long as it can detect vibrations transmitted from the occupant P seated in the seat 2A or the like to the seat 2A or the like.

[0077] In the above embodiments 1-3, one sensor 20 is disposed at a position to the left of the center of the seat surface at each seating position such as seat 2A. However, the positions and number of sensors 20 at each seating position are not limited to those shown in the above embodiments. For example, the sensor 20 may be disposed at a position to the right of the center of the seat surface, or the sensor 20 may be disposed on the backrest.

[0078] In the above-described embodiments 1 to 3, examples of various thresholds used by the estimation unit 101 to estimate the amount of bleeding and the urgency of the injury of the occupant P are shown in Fig. 4 and Fig. 7. However, these thresholds are not limited to those shown in Fig. 4 and Fig. 7.

[0079] Furthermore, each estimation by the estimation unit 101 may be performed using a learning model generated by supervised learning using the data stored in the storage unit 104 and the results of judgments made by emergency vehicle personnel or doctors about the occupant P as training data. When the mobile body 200 has an accident, new training data including the data stored in the storage unit 104 of the information processing device 1 mounted on the mobile body 200 and the results of judgments made by emergency vehicle personnel or doctors about the occupant P may be collected in a server or the like installed outside the mobile body 200. The server may update the learning model based on the newly collected training data.

[0080] The timing of the doctor's judgment will be later than the timing of the emergency vehicle personnel's judgment due to factors such as the time it takes to transport occupant P. In learning using training data including the doctor's judgment results, when the estimation unit 101 updates various thresholds used to estimate the amount of bleeding and the urgency of injury of occupant P, it may take into account changes over time until transport to the hospital, changes in the occupant's condition during transport according to a lifesaving curve, and the treatment performed by the emergency vehicle personnel during transport. Lifesaving curves include, for example, a drinker's lifesaving curve, a curler's lifesaving curve, and a lifesaving curve showing the lifesaving effect when lifesaving treatment is performed by a bystander.

[0081] The various thresholds used by the estimation unit 101 to estimate the amount of bleeding and the urgency of the injury of the occupant P may be corrected based on the estimation results performed for each occupant P before the determination unit 102 determines that the moving body 200 has been involved in a collision accident. In this way, the urgency can be appropriately estimated even for occupants P who normally have a high heart rate or respiratory rate.

[0082] [Additional notes] The present disclosure is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present disclosure. [Explanation of symbols]

[0083] 1. Information processing equipment 2A, 2B, 2C seats 3pcs power supply 4. Backup power supply 5. Alarm device 10 Control Unit 20 sensors 100 Acquisition Department 101 Estimation part 102 Judgment section 103 Information Department 104 Preservation Department 200 Mobile

Claims

1. an acquisition unit that acquires a detection signal from a sensor that is disposed in a seat of the vehicle and detects vibrations transmitted to the seat from an occupant sitting in the seat; an estimation unit that estimates the amount of bleeding of the occupant based on the detection signal acquired by the acquisition unit.

2. The information processing device according to claim 1 , wherein the estimation unit estimates the heart rate and respiratory rate of the occupant based on the detection signal acquired by the acquisition unit, and estimates the amount of bleeding of the occupant based on the estimation results of the heart rate and the respiratory rate of the occupant.

3. the estimation unit further estimates the urgency of the injury of the occupant based on the estimation results of the amount of bleeding, the heart rate, and the respiratory rate of the occupant; The information processing device according to claim 2 , further comprising a notification unit that notifies the inside and outside of the vehicle of the urgency of the injury of the occupant.

4. a determination unit that determines whether the moving body has caused a collision accident based on the detection signal acquired by the acquisition unit, 2. The information processing device according to claim 1, wherein the estimation unit estimates the seat pressure applied by the occupant to the seat based on the detection signal acquired by the acquisition unit, and estimates the amount of bleeding from the occupant based on a change in the estimated result of the seat pressure before and after the determination unit determines that the moving body has been involved in a collision accident.

5. a determination unit that determines whether the moving body has caused a collision accident based on the detection signal acquired by the acquisition unit, 2. The information processing device according to claim 1, wherein the estimation unit estimates the heart sounds of the occupant based on the detection signal acquired by the acquisition unit, and estimates the amount of bleeding of the occupant based on a change in the estimated results of the heart sounds before and after the determination unit determines that the moving body has been involved in a collision accident.

6. The information processing device according to claim 1 ; the sensor; a first power source that supplies power to the sensor and the information processing device; a second power supply that supplies power to the sensor and the information processing device when a malfunction occurs in the first power supply.

7. A program for causing a computer to function as the information processing device according to claim 1 , the program causing the computer to function as the acquisition unit and the estimation unit.

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