JP7200856B2 - Relaxation determination device, relaxation determination method, and relaxation induction device - Google Patents

Description

The present invention relates to a relaxation determination device, a relaxation determination method, and a relaxation induction device.

As a technique for determining the degree of relaxation of a person, a technique for determining the degree of relaxation of a person based on the rate of increase in heartbeat interval length (also referred to as “RR-I”) is known. 1). Further, as the technique, there is known a technique for determining the degree of relaxation of a person using an index based on a high frequency component (0.15 to 0.4 Hz, also referred to as “HF”) of heartbeat fluctuation (for example, , see Patent Document 2).

JP-A-9-70399 JP 2008-155012 A

However, according to the above-described conventional techniques, there are cases where an appropriate judgment result cannot be obtained depending on the person to be judged. For example, even in a relaxed state, it is difficult for a person whose RR-I value does not easily change according to that state to determine the degree of relaxation with the technique of Patent Document 1. Similarly, for a person whose HF value is less likely to change even in a relaxed state, it is difficult to determine the degree of relaxation with the technique of Patent Document 2. As described above, in the conventional technology, there is still room for examination from the viewpoint of applying an appropriate determination method according to the person to be determined.

An object of one aspect of the present invention is to determine the degree of relaxation of a person to be determined by a more appropriate method for the person to be determined.

In order to solve the above problems, a relaxation determination device according to an aspect of the present invention includes a measured heart rate acquisition unit that acquires a measured heart rate of a person to be judged, An ultra-low frequency component extraction unit that extracts low-frequency components, an amplitude determination unit that determines whether the amplitude per unit time of the ultra-low frequency components is greater than a threshold, and if the amplitude is greater than the threshold, determining the degree of relaxation of the person to be judged based on the high-frequency component value of the heartbeat fluctuation extracted from the heartbeat measurement value; and a relaxation determination unit that determines the degree of relaxation of the person to be determined based on the degree of relaxation.

Further, in order to solve the above-described problems, a relaxation determination method according to an aspect of the present invention includes steps of obtaining a heartbeat measurement value of a person to be determined; extracting the component; determining whether the amplitude per unit time of the very low frequency component is greater than a threshold; The degree of relaxation of the person to be judged is determined based on the high-frequency component value of the fluctuation, and if the amplitude is equal to or less than a threshold value, the relaxation of the person to be judged is determined based on the length of the interval between heartbeats extracted from the heartbeat measurement value. and determining the degree of

According to this configuration, the degree of relaxation of the person to be judged is determined based on the heartbeat data that reflects the degree of relaxation of the person to be judged. Therefore, the degree of relaxation of the person to be judged can be determined by a more appropriate method for the person to be judged.

The relaxation determination device refers to a reaction model that defines the relationship between the high-frequency component value or heartbeat interval length of the person to be determined and the content and intensity of the stimulus to be applied, and provides the stimulus to the person to be determined. and a stimulus applying unit for applying the selected stimulus to the person to be judged.

According to the above configuration, the stimulus that relaxes the person to be judged can be determined according to the individual person to be judged.

The relaxation determination device further comprises a reaction model updating unit that updates the reaction model in accordance with the high-frequency component value or heartbeat interval length of the person to be judged after the stimulus is applied and the content and intensity of the applied stimulus. good too.

According to the above configuration, the reaction model can be optimized according to each person to be judged.

The relaxation determination device may further include a reference data acquisition unit that acquires reference data that is a reference for heartbeat measurement values of the person to be judged, and a reaction model selection unit that references the reference data and selects a reaction model. good.

According to the above configuration, since the reaction model is selected according to the initial state of the person to be judged in the relaxation determination, the stimulus that relaxes the person to be judged is appropriately selected according to the state of the person to be judged in the relaxation judgment. more effective from a decision point of view.

The person to be judged is a passenger of a mobile object, and the reference data acquisition unit may acquire, as the reference data, a heartbeat measurement value of the person to be judged after a predetermined time has elapsed since boarding the mobile object.

According to the above configuration, it is possible to more accurately determine the degree of relaxation of the person to be determined who has boarded a moving object such as a vehicle. When the moving object is an automobile, the degree of relaxation of the person to be judged who is driving the automobile can be judged more accurately, which is effective from the viewpoint of realizing a stable running state of the automobile.

The relaxation determination device may further include an attribute information acquisition section that acquires attribute information of the subject, and the reaction model selection section may select a reaction model by referring to the attribute information.

According to the above configuration, it is possible to easily identify each person to be judged, and to associate the information specific to the person to be judged with the data regarding the determination of the degree of relaxation. Therefore, it is possible to more easily and appropriately determine the degree of relaxation suitable for each person to be determined.

The relaxation determination device may further include an external factor information acquisition unit that acquires external factor information including at least one of environment information indicating the environment in which the person to be judged exists and date and time information, and the reaction model selection unit may select a reaction model based on one or more factors indicated by the external factor information.

According to this configuration, in selecting a reaction model, it is possible to reflect the influence of an external factor acting on the person to be judged on the degree of relaxation of the person to be judged. Therefore, it is possible to select a stimulus that is more suitable for relaxing the person to be judged.

The external factor information acquisition unit may acquire external factor information including environment information, and the environment information may include information related to a moving object on which the person to be judged boards.

According to the above configuration, it is possible to further reflect the influence of the moving body on the judgment of relaxation of the person to be judged in the selection of the reaction model. When the moving object is an automobile, this is even more effective from the viewpoint of realizing a stable running state of the automobile.

The person to be judged may be a passenger of a mobile object, and the heartbeat measurement value acquisition unit may acquire the heartbeat measurement value of the person to be judged from a heartbeat sensor mounted on the mobile object.

According to this configuration, it is possible to more easily perform the relaxation determination of the person to be determined in the moving object. This is effective from the viewpoint of constantly utilizing the degree of relaxation of the person to be judged in the moving body in the operation of the moving body.

When the amplitude is greater than the threshold, the relaxation determining unit determines the subject's The degree of relaxation of the person to be judged may be determined from the high-frequency component value, and when the amplitude is equal to or less than the threshold, the correlation between the heartbeat interval length and the degree of relaxation is shown. Based on two relational expressions, the degree of relaxation of the person to be determined may be determined from the length of the heartbeat interval of the person to be determined.

The above configuration is more effective from the viewpoint of simply and accurately determining the degree of relaxation from the heartbeat data of the person to be determined.

The ultra-low frequency component extraction unit may extract the ultra-low frequency component by taking a moving average of heartbeat fluctuations.

The above configuration is more effective from the viewpoint of quickly and accurately determining the heartbeat data (HF value or RR-I value) to be used for determining the degree of relaxation of the subject.

Furthermore, in order to solve the above-described problems, a relaxation induction device according to an aspect of the present invention includes the above-described relaxation determination device and a stimulus providing unit that provides a subject with a stimulus according to the determination result of the relaxation determination unit. And prepare.

According to the above configuration, the degree of relaxation of the person to be judged can be guided to a desired degree.

ADVANTAGE OF THE INVENTION According to one aspect of the present invention, it is possible to determine the degree of relaxation of the person to be determined by a more appropriate method for the person to be determined.

2 is a block diagram showing an example of the functional configuration of the relaxation determination device according to Embodiment 1 of the present invention; FIG. 4 is a flow chart showing an example of the flow of processing for determining the degree of relaxation of a person to be determined in Embodiment 1 of the present invention. A first graph showing an example of measurement results of RR-I of a subject whose amplitude per unit time of the very low frequency component in heartbeat fluctuation is relatively large, and the result of moving average of RR-I in the first graph It is a figure which shows side by side the 2nd graph which shows an example of. A third graph showing an example of the measurement result of RR-I of the subject whose amplitude per unit time of the very low frequency component in heartbeat fluctuation is relatively small, and the result of moving average of RR-I in the third graph It is a figure which shows side by side with the 4th graph which shows an example. FIG. 10 is a diagram showing an example of the relationship between the RR-I value and the sensory value indicating the degree of relaxation, with the person to be judged at rest being 0; It is a figure which shows an example of the relationship between the HF value and the sensory value which shows a relaxation degree which made the to-be-judged person's resting time into 0. FIG. FIG. 10 is a diagram showing an example of the relationship between the HF value and the sensory value indicating the degree of relaxation, where the subject's resting state in which the amplitude per unit time of the ultra-low frequency component in the heartbeat fluctuation exceeds the threshold value is set to 0; FIG. 10 is a diagram showing an example of the relationship between the RR-I value and the sensory value indicating the degree of relaxation, with the amplitude per unit time of the ultra-low frequency component in the heartbeat fluctuation being equal to or less than the threshold value being 0 when the subject is at rest. FIG. 5 is a block diagram showing an example of a functional configuration of a relaxation determination device according to Embodiment 2 of the present invention; FIG. 11 is a flow chart showing an example of the flow of processing for determining relaxation of a person to be determined in Embodiment 2 of the present invention. FIG.

[Embodiment 1]
An embodiment of the present invention will be described in detail below.

(Functional configuration of relaxation determination device)
FIG. 1 is a block diagram showing an example of a functional configuration of a relaxation determination device according to Embodiment 1 of the present invention. The relaxation determination device 10 has a heart rate measurement device 11, a control section 12 and a storage section 13, as shown in FIG.

The heartbeat measuring device 11 may be any known device capable of detecting the heartbeat of the person to be determined. It may be an optical sensor that detects The heart rate measuring device 11 may be a device that measures the heart rate of the person to be judged, or may be a device that measures the RR-I and HF of the person to be judged.

The control unit 12 selects heartbeat data for determining the degree of relaxation of the person to be determined according to the heartbeat measurement result, and determines the degree of relaxation based on the preset correlation between the heartbeat data and the degree of relaxation. do. The control unit 12 is configured by, for example, a CPU (Central Processing Unit). In this specification, the "degree of relaxation" is a quantitative representation of the degree of relaxation of the person to be judged, and the "degree of relaxation" is one form of the degree of relaxation. is expressed numerically.

The control unit 12 includes a heartbeat measurement value acquisition unit 121 , an extremely low frequency component extraction unit 122 , an amplitude determination unit 123 and a relaxation determination unit 124 .

The heartbeat measurement value acquisition unit 121 acquires the heartbeat measurement value of the person to be determined. The heartbeat measurement value may be the heartbeat data itself measured by the heartbeat measuring device 11, or may be data extracted from the heartbeat data. Examples of the latter include RR-I and HF values.

The RR-I value is the length (in seconds) of the heartbeat interval of the determinant. The HF value is a value that represents the high frequency component (0.15 to 0.4 Hz) in the heartbeat fluctuation of the person to be judged, and is the sum of the power values in the range of 0.15 to 0.4 (Hz) (corresponding to the spectrum data). area of the range). Extraction of RR-I and HF values from heartbeat data is possible by known techniques. For example, the heartbeat measurement value acquiring unit 121 extracts RR-I and HF from the heartbeat data of the person to be judged by the heartbeat measuring device 11 and acquires the RR-I value and the HF value.

The ultra-low frequency component extraction unit 122 extracts the ultra-low frequency component of heartbeat fluctuation of the person to be determined from the heartbeat measurement value. The ultra-low frequency component of heartbeat fluctuation is heartbeat fluctuation expressed in a band of 0.0033 to 0.04 Hz. The very low frequency component of heartbeat fluctuation can be obtained by smoothing the RR-I of the person to be judged. For example, very low frequency components can be obtained by a known method of obtaining rough fluctuations from finely fluctuating data. Examples of such known methods include a moving average method and a method of extracting the frequency band using a Fourier transform and an inverse Fourier transform.

The ultra-low frequency component extraction unit 122 extracts the ultra-low frequency component by taking a moving average of the heartbeat fluctuation. By extracting the very low frequency component by moving average, it is possible to extract the very low frequency component in a shorter measurement time of RR-I. The very low frequency component extraction unit 122 calculates the moving average of RR-I at appropriate time intervals when the fluctuation appears. As a result, RR-I is appropriately smoothed to obtain very low frequency components. If the time interval is too short, the effect of RR-I may remain, and if it is too long, even the fluctuation may be smoothed out, both of which are insufficient from the viewpoint of clearly displaying the ultra-low frequency component. can be From the point of view of clearly and appropriately representing the very low frequency component, the time interval can usually be determined from the range of 10 to 40 seconds, for example 20 seconds.

The amplitude determination section 123 determines whether or not the amplitude per unit time of the very low frequency component is greater than a threshold. By such determination, it is possible to determine whether the person to be determined has a large or small amplitude value of the very low frequency component. It becomes clear whether the decision should be made based on RR-I or based on RR-I. Here, a person whose amplitude value of the extremely low frequency component is large means a person whose vibration of the extremely low frequency component has a sufficiently large amplitude and a sufficiently short period. A person whose oscillation of the extremely low frequency component does not have a sufficiently large amplitude and has a sufficiently short period, or whose oscillation of the extremely low frequency component has a sufficiently large amplitude and a long period that cannot be said to be sufficiently short, It can also be said.

The “unit time” and “amplitude” in the “amplitude per unit time of the very low frequency component” are appropriately determined within a range where there is a significant difference in the correlation between the HF value or RR-I value described later and the degree of relaxation. be able to. Regarding the amplitude of the very low frequency component per unit time, since the amplitude of the very low frequency component is represented by the RR-I value of the subject, it can be expressed as 0.04 seconds or more. The unit time may be any time appropriate for specifying the frequency of vibrations in which the very low frequency component has the above amplitude, and can be appropriately determined from 25 to 330 seconds. In this embodiment, the unit time is 160 seconds.

The relaxation determination unit 124 determines the degree of relaxation of the person to be determined based on either the HF value or the RR-I value according to the relationship between the amplitude per unit time of the very low frequency component and the above threshold. . That is, if the amplitude per unit time of the ultra-low frequency component is greater than the threshold, the relaxation determination unit 124 determines the degree of relaxation of the subject based on the HF value, and if the amplitude is equal to or less than the threshold, determines the subject's degree of relaxation based on the RR-I value.

The degree of relaxation can be determined based on the previously clarified correlation between the HF value or the RR-I value and the degree of relaxation. The correlation is identified by measuring the HF value or RR-I value of the person to be judged and the degree of relaxation of the person to be judged at that time one or more times in advance. The degree of relaxation may be specified based on data measured on the person to be judged, or may be specified by a questionnaire to the person to be judged. The method of expressing the correlation between the HF value or RR-I value and the degree of relaxation is not limited, and the correlation can be expressed by an appropriate formula.

In this embodiment, if the amplitude of the ultra-low frequency component per unit time is greater than the threshold, the relaxation determination unit 124 calculates the degree of relaxation of the person to be determined from the HF value of the person to be determined based on the first relational expression. is determined, and if the amplitude is equal to or less than the threshold, the degree of relaxation of the person to be determined is determined from the RR-I value of the person to be determined based on the second relational expression. The first relational expression is an expression showing the correlation between the HF value and the degree of relaxation when the amplitude is greater than the threshold. The second relational expression is an expression showing the correlation between the RR-I value and the degree of relaxation when the amplitude is equal to or less than the threshold. The first relational expression and the second relational expression will be described later.

The storage unit 13 is a known storage medium that can be used to determine the degree of relaxation. For example, the storage unit 13 is a storage medium that can readably store a program related to determination of relaxation and can temporarily store measured values. The storage unit 13 stores, for example, the above program and data of the above relational expression in advance. In addition, the storage unit 13 can store the measured value and the obtained value in the determination of the degree of relaxation in association with the person to be determined.

(Process flow of relaxation determination)
FIG. 2 is a flow chart showing an example of the flow of processing for determining the degree of relaxation of a person to be determined in the first embodiment of the present invention.

In step S<b>101 , the heartbeat measurement value acquiring unit 121 acquires the heartbeat data of the person to be judged measured by the heartbeat measuring device 11 . The heart rate measurement value acquisition unit 121 extracts each of HF and RR-I from the data.

In step S102, the very low frequency component extraction unit 122 extracts the very low frequency component of heartbeat fluctuation of the person to be determined from RR-I. For example, the very low frequency component extraction unit 122 calculates the moving average of RR-I at the appropriate intervals (20 seconds) described above. In this way, an extremely low frequency component obtained by smoothing RR-I is obtained.

The smoothing of RR-I will now be described in more detail. FIG. 3 shows a first graph showing an example of a measurement result of RR-I of a subject whose amplitude per unit time of an extremely low frequency component in heartbeat fluctuation is relatively large, and RR-I in the first graph. is a diagram showing side by side a second graph showing an example of the result of moving average of . Further, FIG. 4 shows a third graph showing an example of the measurement result of RR-I of the subject whose amplitude per unit time of the very low frequency component in the heartbeat fluctuation is relatively small, and RR in the third graph. FIG. 10 is a diagram showing side by side a fourth graph showing an example of the result of moving average of −I.

For the measurement data of the subject's RR-I shown in the first graph in FIG. 3 or the third graph in FIG. RR-I data of the first graph is represented by the second graph, and RR-I data of the third graph is represented by the fourth graph as shown in FIG. In this way, by calculating the moving average at appropriate time intervals as described above, the ultra-low frequency component of the heartbeat fluctuation of the person to be determined can be expressed appropriately and clearly.

In FIG. 3, as is clear from the second graph, the subject's very low frequency component shown in the first graph is sufficiently large and vibrates frequently. For example, in the graph of FIG. 3, when the amplitude of the very low frequency component is extracted for 160 seconds (for example, 165 to 325 seconds on the horizontal axis of FIG. 3), the amplitude ( vertical axis) exceeds 0.04 seconds.

On the other hand, in FIG. 4, as is clear from the fourth graph, the vibration of the very low frequency component of the person to be judged shown in the third graph shows relatively small vibrations frequently, but (eg, 230 to 390 seconds on the horizontal axis of FIG. 4), the amplitude (vertical axis of FIG. 4) does not exceed 0.04 seconds.

In step S103, the amplitude determination section 123 determines whether or not the amplitude per unit time of the subject's very low frequency component extracted by the very low frequency component extraction section 122 is greater than a threshold value. For example, the amplitude determination unit 123 sets the amplitude of the very low frequency component per 160 seconds as a threshold value of 0.04 seconds as described above with reference to FIGS. and determine whether the extracted amplitude exceeds the threshold.

If the amplitude per unit time of the ultra-low frequency component is greater than the threshold in step S103, the relaxation determination unit 124 determines the subject's degree of relaxation based on the HF value in step S104. The relaxation determination unit 124 reads out the above-described first relational expression from the storage unit 13 and determines the degree of relaxation of the person to be judged from the HF value of the person to be judged based on the relational expression.

If the amplitude per unit time of the very low frequency component is equal to or less than the threshold value in step S103, the relaxation determination unit 124 determines the degree of relaxation of the person to be determined based on the RR-I value in step S105. The relaxation determination unit 124 reads out the above-described second relational expression from the storage unit 13, and determines the degree of relaxation of the person to be judged from the RR-I value of the person to be judged based on the relational expression.

In this embodiment, since the degree of relaxation of the person to be judged is determined as described above, the degree of relaxation of the person to be judged can be determined with higher accuracy.

Here, the method for determining the degree of relaxation of the person to be determined will be described in more detail. FIG. 5 is a diagram showing an example of the relationship between the RR-I value and the sensory value indicating the degree of relaxation when the person to be judged is at rest. FIG. 6 is a diagram showing an example of the relationship between the HF value and the sensory value indicating the degree of relaxation when the person to be judged is at rest.

In the figure, the vertical axis represents the sensory value. A “sensory value” is a degree of relaxation for a person to be judged given a predetermined stimulus, and is represented by a number from 1 to −1. A larger value indicates a greater degree of relaxation, and a smaller value indicates a greater degree of irritation. In the figure, the horizontal axis represents the HF value or RR-I value corresponding to the sensory value, with 0 at rest.

A sensory value is calculated|required as follows, for example. Each subject was allowed to rest for 3 minutes, and then the first measurement of HF and RR-I and the first questionnaire regarding the degree of relaxation were conducted. The RR-I value in the first measurement is the average value measured during the last two minutes of the rest period. The HF value in the first measurement is the integrated value of the high frequency components of the heartbeat fluctuation in the last two minutes of the rest period.

Next, a predetermined stimulus is applied to each of the subjects for 10 minutes, and then the HF and RR-I are measured a second time, and the above-mentioned questionnaire regarding the degree of relaxation (second time) is conducted. The RR-I value in the second measurement is the mean value measured during the last two minutes of the stimulus application. The HF value in the second measurement is the integrated value of the high frequency components of the heart rate fluctuations during the last two minutes of the stimulus application time.

The results of the questionnaire regarding the degree of relaxation are expressed in points so that the higher the degree of relaxation, the higher the value. In FIGS. 5 and 6, the HF value, the RR-I value, and the total score of the questionnaire are set to the origin (0, 0) for the first time. The horizontal axis indicates the difference (M2-M1) between the first measured value M1 and the second measured value M2 of HF and RR-I. Also, on the vertical axis, the difference (S2-S1) between the total score S1 of the first questionnaire and the total score S2 of the second questionnaire is displayed as a relative value where the maximum value of the difference is "1". there is

5 and 6 are all data of a plurality of persons to be judged. The numerical values shown in the upper right of the graph represent the correlation coefficients of the linear correlations of the plots in the graph. As is clear from FIG. 5, the correlation coefficient between the subject's RR-I value and the sensory value is 0.553, which is not sufficiently high. Regarding the HF value, as is the case with the RR-I value, as is clear from FIG. 6, the correlation coefficient between the subject's HF value and the sensory value is 0.178, which is not sufficiently high. . In the determination of relaxation in this embodiment, it can be said that a correlation coefficient of 0.65 or more between the RR-I value or the HF value and the sensory value is sufficiently high.

Focusing on the above-mentioned ultra-low frequency component of the person to be judged, based on the above-mentioned threshold, the person to be judged is divided into a person whose amplitude value of the ultra-low frequency exceeds the threshold and a person whose amplitude value of the ultra-low frequency is below the threshold. Divide into FIG. 7 is a diagram showing an example of the relationship between the HF value of the subject whose amplitude per unit time of the ultra-low frequency component in heartbeat fluctuation exceeds the threshold value and the sensory value indicating the degree of relaxation. FIG. 8 is a diagram showing an example of the relationship between the RR-I value of the subject whose amplitude per unit time of the ultra-low frequency component in heartbeat fluctuation is equal to or less than the threshold value and the sensory value indicating the degree of relaxation.

As shown in FIG. 7, the correlation between the HF value and the sensory value is 0.707 for the subject whose amplitude value of the ultra-low frequency component exceeds the threshold, and as shown in FIG. The correlation between the RR-I value and the sensory value is 0.680 for the subject whose amplitude value of the low frequency component is equal to or less than the threshold. As is clear from these figures, which of the HF value and the RR-I value is used as the data for determining the degree of relaxation depends on the magnitude of the amplitude value of the very low frequency component in the heartbeat fluctuation of the subject. determines the linear correlation between the HF or RR-I values and the degree of relaxation. Therefore, the above-mentioned first relational expression can be represented by a linear expression derived from data such as shown in FIG. can be expressed by a linear expression derived from By using such a first relational expression and a second relational expression, it is possible to easily determine the degree of relaxation with higher accuracy than in the past.

As described above, in the present embodiment, the degree of relaxation is determined by the HF value for a subject with a large amplitude value, and by the RR-I value for a subject with a small amplitude value. Therefore, it is possible to determine the degree of relaxation of the person to be determined with higher accuracy than the conventional techniques for determining relaxation.

Further, in this embodiment, the smoothing of the very low frequency component of RR-I is performed by calculating its moving average at appropriate time intervals. Conventionally, the spectrum analysis of heartbeat fluctuation generally requires a measurement time of 5 minutes or more, but in this embodiment, since the RR-I data is moving averaged every 20 seconds, the ultra-low frequency can be detected faster than before. It is possible to grasp the influence of the component.

(summary)
According to the configuration described above, the degree of relaxation of the person to be judged is determined based on the heartbeat data that reflects the degree of relaxation of the person to be judged. Therefore, it is possible to determine the degree of relaxation of the person to be determined by a more appropriate method for the person to be determined.

Further, as described above, if the degree of relaxation of the person to be judged is determined from the HF value or the RR-I value of the person to be judged based on the first relational expression or the second relational expression, This is much more effective from the viewpoint of simply and accurately judging the degree of relaxation from data.

Further, as described above, if the extremely low frequency component is extracted by taking the moving average of the heartbeat fluctuation, the heartbeat data (HF value or RR-I value) to be used for determining the degree of relaxation of the person to be judged can be obtained quickly and quickly. It is much more effective from the viewpoint of accurate determination.

[Embodiment 2]
Other embodiments of the invention are described below. For convenience of description, members having the same functions as those of the members described in the above embodiments are denoted by the same reference numerals, and description thereof will not be repeated.

(Overview of judgment environment)
This embodiment determines the degree of relaxation of a person to be determined who is a passenger of a mobile object. The moving object is a vehicle (automobile), and the person to be judged is the driver of the vehicle. The vehicle is assumed to be configured in the same manner as a normal vehicle except for having the configuration described later.

(Functional configuration of relaxation determination device)
FIG. 9 is a block diagram showing an example of a functional configuration of a relaxation determination device according to Embodiment 2 of the present invention. The relaxation determination device 20 has a heart rate measuring device 11, an input device 21, an in-vehicle camera 22, an in-vehicle sensor 23, a control section 24, a storage section 13, and a stimulation providing device 26, as shown in FIG.

The input device 21 is a device for inputting the attribute information of the person to be judged to the relaxation determination device 20, and examples thereof include a touch panel and a voice input device. Attribute information will be described later.

The vehicle-mounted camera 22 is a camera mounted on the vehicle for controlling the operation of the vehicle. For example, the vehicle-mounted camera 22 includes an omnidirectional camera for photographing the exterior of the vehicle and an in-vehicle camera for photographing the actions and expressions of the driver during driving.

The vehicle-mounted sensor 23 is a sensor mounted on the vehicle for controlling the operation of the vehicle. Examples of the in-vehicle sensor 23 include a temperature/humidity sensor, a seat pressure sensor, and a heart rate sensor. In this embodiment, the heartbeat sensor corresponds to the heartbeat measuring device 11 .

The control unit 24 includes a condition determination unit 200 , a stimulus provision unit 210 , a relaxation level determination unit 230 and a reaction model update unit 240 .

Condition determination unit 200 includes reference data acquisition unit 201 , attribute information acquisition unit 202 , external factor information acquisition unit 203 and reaction model selection unit 204 .

The reference data acquisition unit 201 acquires reference data, which is the reference of the heartbeat measurement value of the person to be determined. The reference data is the heartbeat data of the person to be judged before the degree of relaxation is judged, for example, the HF value or the RR-I value. In general, the heartbeat data depends on the person to be judged and tends to fluctuate according to the condition of the person to be judged. By acquiring the reference data, it becomes possible to specify the initial state of the heartbeat of the person to be judged in the relaxation judgment.

The reference data acquisition unit 201 acquires, as reference data, the heartbeat measurement value of the person to be judged after a predetermined time has elapsed since boarding the moving object. If the reference data is obtained after a predetermined period of time has passed since the subject entered a state for which the degree of relaxation is to be determined, it is possible to obtain substantially steady heartbeat data of the subject in that state. The predetermined time referred to here is preferably long to some extent in order to make the heartbeat of the person to be judged substantially steady, but if it is too long, the effect of stabilizing the heartbeat may peak out. From such a point of view, the predetermined time can be appropriately determined from, for example, 2 to 15 minutes, and is set to, for example, 3 minutes in the present embodiment.

The attribute information acquisition unit 202 acquires attribute information of the person to be judged. Attribute information is information specific to the person to be judged. By acquiring the attribute information, it is possible to appropriately refer to the attribute information when determining relaxation, particularly when selecting a stimulus to be provided to the subject whose degree of relaxation is to be determined for the first time. Therefore, it is possible to more accurately determine the degree of relaxation of the person to be determined.

Examples of attribute information include personal data and personal recognition data. Personal data is information about a person to be judged. Personal data does not have to be information that can identify the person to be judged from others. Examples of personal data include the subject's gender and age. Data for personal recognition is data that alone has the possibility of recognizing the person to be judged by others. Examples of personal recognition data include data representing the subject's fingerprints, veins, face, and seat pressure of the subject sitting on the seat of the vehicle.

The external factor information acquisition unit 203 acquires external factor information including at least one of environment information indicating the environment in which the person to be judged exists and date and time information. The external factor information is information due to factors other than the person to be judged. External factor information can affect the heart rate of the person to be determined. By acquiring the external factor information, it becomes possible to appropriately refer to the external factor information when determining the degree of relaxation. Therefore, the external information at the time of the relaxation determination is properly reflected in the relaxation determination, and it becomes possible to more accurately determine the degree of relaxation of the person being determined. Examples of environmental information include outdoor temperature and humidity, indoor temperature and humidity, seat reclining angle, and weather. An example of the date and time information includes the date and time when the relaxation determination is performed.

In this embodiment, the external factor information acquisition unit 203 acquires external factor information including environment information. The environment information includes information about the moving body on which the person to be judged boards. Examples of environmental information about a moving object include indoor temperature and humidity, smell, and seat reclining angle.

The reaction model selection unit 204 selects a reaction model. The response model defines the relationship between the subject's HF value or RR-I value and the content and intensity of the stimulus to be applied. The response model includes information on the type and intensity of stimulus given to the person to be judged in the judgment of relaxation. Examples of reaction models include model formulas. The model formula defines at least the relationship between the subject's HF value or RR-I value and the content and intensity of stimulus to be applied. In selecting a reaction model, the reaction model selection unit 204 can refer to various data and information.

For example, the reaction model selection unit 204 selects a reaction model by referring to reference data. By selecting a reaction model with reference to the reference data, it becomes possible to more accurately grasp the state of the person's heartbeat in determining relaxation, and thus more accurately determine the degree of relaxation of the person to be determined. becomes possible.

Also, the reaction model selection unit 204 selects a reaction model by referring to the attribute information. By selecting a reaction model with reference to attribute information, it is possible to select a reaction model whose attribute information is appropriately weighted. Therefore, it is possible to obtain a determination result in which the attribute information is appropriately reflected in the relaxed determination of the person to be determined.

Furthermore, the reaction model selection unit 204 selects a reaction model based on one or more factors indicated by the external factor information. By selecting a reaction model based on one or more factors indicated by the external factor information, it is possible to select a reaction model in which the factors are appropriately weighted. Therefore, it is possible to obtain a determination result that appropriately reflects the external factor information at the time of the relaxation determination, and it is possible to more accurately determine the degree of relaxation of the person to be determined who is affected by the environment of the relaxation determination.

The stimulus providing section 210 includes a stimulus selecting section 211 . The stimulus selection unit 211 selects a stimulus to be applied to the person to be judged with reference to the reaction model of the person to be judged. The stimulus selection unit 211 selects one or more stimuli derived from the reaction model and selected from among stimuli that can be supplied from the stimulus providing device 26 to the person to be judged. The stimulus chosen is usually represented by its content and intensity (strength and duration of presentation).

Relaxation level determination section 230 includes heart rate measurement value acquisition section 121 , very low frequency component extraction section 122 , amplitude determination section 123 and relaxation determination section 124 . The functional configuration of the relaxation degree determining section 230 is substantially the same as that of the control section 12 in the first embodiment described above.

The reaction model updating unit 240 updates the reaction model according to the subject's HF value or RR-I value after the stimulus is applied and the content and intensity of the applied stimulus. The reaction model updating section 240 updates the reaction model so as to increase the accuracy in determining the degree of relaxation of the person to be determined. Such updating of the reaction model can be performed by known techniques. For example, the reaction model updating unit 240 can update the reaction model by appropriately weighting the aforementioned external factor information according to each person to be judged. In addition, the reaction model update unit 240 can update the reaction model by machine learning such as deep learning using a large amount of data as teacher data. The teacher data may be data individually acquired by the relaxation determination device 20, or may be data acquired by another relaxation determination device and provided by communication. By updating the reaction model, it is possible to further improve the accuracy in determining the degree of relaxation of the person to be determined.

The stimulus providing device 26 provides the person to be judged with a stimulus selected by referring to the reaction model. The stimulus providing device 26 may be a single device, or may be various devices mounted on a vehicle. The stimulus providing device 26 corresponds to a stimulus applying unit that applies the selected stimulus to the person to be judged. Examples of stimuli provided by the stimulus providing device 26 include light, sound, vibration, heat, humidity and smell, and the stimulus providing device 26 can appropriately control and present such stimuli. Any device can be used.

For example, the stimulation device 26 that presents light may be a device capable of changing the brightness or color of the light presented to the vehicle, examples of which include interior lights, displays and control panels. be An example of the stimulus providing device 26 that presents sound includes car audio. Examples of the stimulus providing device 26 that presents vibration include a seat with a massage function. Examples of stimulators 26 that provide heat include air conditioners and heated seats. Examples of stimulus providers 26 that provide humidity include air conditioners. Examples of the stimulus providing device 26 that presents an odor include a deodorizing device or a scent generating device that can be attached to a cigar socket.

(Process flow of relaxation determination)
FIG. 10 is a flowchart showing an example of the flow of processing for judging relaxation of the person to be judged in the second embodiment of the present invention.

In step S201, the attribute information acquisition unit 202 acquires personal identification data. For example, the attribute information acquisition unit 202 receives fingerprint data of the driver, who is the person to be judged, from the input device 21, data of the face image of the driver from the in-vehicle camera of the vehicle-mounted camera 22, and data from the vehicle-mounted sensor 23. Acquire seat pressure data when a person sits in the driver's seat.

In step S202, the condition determination unit 200 determines whether or not the person to be determined has ridden in the vehicle before. For example, the condition determination unit 200 compares the personal identification data acquired by the attribute information acquisition unit 202 with the data stored in the storage unit 13 to determine whether or not the person to be determined is boarding for the first time. Alternatively, the condition determination unit 200 determines whether or not the person to be determined rides for the first time, based on information about the number of rides that the person to be determined has input to the input device 21 .

If it is determined in step S202 that the person to be judged is riding for the first time, the attribute information acquisition unit 202 acquires various personal data (age, gender, etc.) input by the person to be judged to the input device 21 in step S203.

If it is not determined in step S202 that the person to be determined is riding the vehicle for the first time, the attribute information acquisition unit 202 reads personal data acquired in the past from the storage unit 13 in step S204. The personal data acquired in the past includes the past model formula of the person to be judged in addition to the personal data input by the person to be judged in step S203 during the previous ride.

In step S205, the reference data acquisition unit 201 acquires reference data. The reference data acquiring unit 201 acquires the HF value and the RR value of the person to be judged according to the heartbeat data of the person to be judged from the heartbeat measuring device 11 after a predetermined time, for example, five minutes after the person to be judged gets into the vehicle. - Get the I value.

In step S206, the external factor information acquisition unit 203 acquires external factor information. The external factor information acquisition unit 203 acquires, for example, from the in-vehicle sensor 23 the outside air temperature/humidity, the room temperature/humidity, and the reclining angle of the seat as environmental information, and the date and time of the relaxation determination to be performed as date/time information. do.

In step S207, the controller 24 selects a stimulus. A reaction model selection unit 204 selects a reaction model, and a stimulus selection unit 211 selects a stimulus according to the reaction model.

The reaction model selection unit 204 selects an appropriate reaction model according to the ride history of the person to be judged. For example, when the person to be judged rides in a vehicle for the first time, the reaction model selection unit 204 selects the default values stored in the storage unit 13 . The default value is a general reaction model that is considered applicable to a relatively large number of subjects. This general-purpose reaction model is, for example, a model formula derived based on the results of the questionnaire survey described above so as to apply to a larger number of subjects. Such general-purpose reaction models can be selected by pre-storing various general-purpose models appropriately reflecting attribute information and external factor information in the storage unit 13 and reading them appropriately. Alternatively, the reaction model selection unit 204 may appropriately weight the default value (general-purpose reaction model) described above with the attribute information and the external factor information, and adopt it as the reaction model for the initial relaxation determination.

If the person to be judged has ridden in the vehicle before, the reaction model selection unit 204 selects the past model formula acquired by the attribute information acquisition unit 202 and the external factor acquired by the external factor information acquisition unit 203. A reaction model is selected by calculating the optimum solution of the model formula based on the information. For example, the reaction model selection unit 204 may appropriately weight the past model formula with the external factor information to obtain the optimum solution of the model formula, and adopt it as the reaction model.

The stimulus selection unit 211 refers to the reaction model selected by the reaction model selection unit 204, and determines the type and strength of the stimulus to be provided to the subject for the relaxation determination. One or more stimuli may be provided to the person to be judged, and any stimulus that affects the state of relaxation of the person to be judged may be used. Examples of stimuli include light, heat, vibration and sound.

In step S<b>208 , the stimulus providing device 26 provides the person to be judged with a stimulus corresponding to the stimulus signal selected by the stimulus selector 211 .

In step S209, the relaxation level determination unit 230 executes a process of determining the relaxation level. This process is substantially the same as the process represented by steps S101 to S105 shown in the flowchart of FIG. The degree of relaxation may be determined while the stimulus is being supplied to the person to be determined, after the stimulus is supplied, or both.

In step S<b>210 , the relaxation level determination unit 230 causes the storage unit 13 to store the data determined by the relaxation determination unit 124 .

In step S211, the reaction model update unit 240 refers to the determination data, the attribute information and the external factor information acquired upon the relaxation determination, and updates the model formula. When the person to be judged rides in the vehicle for the first time, the reaction model updating unit 240 updates the default values described above to the model formula for the person to be judged. If the person to be judged has previously ridden in a vehicle and judged the degree of relaxation, the reaction model updating unit 240 updates the past model formula to update. The control unit 24 causes the storage unit 13 to store the updated model formula in association with the person to be judged.

(Effect)
As is clear from the above description, in the present embodiment, as in the first embodiment, based on whether or not the amplitude value is equal to or greater than a certain threshold value in a certain time interval, the person to be judged whose amplitude value is large and the amplitude value It is stratified into those with smaller . Then, the degree of relaxation is acquired as a numerical value from -1 (irritated) to 0 (neither relaxed nor irritated) to 1 (relaxed) by the relaxation determination method described above.

In the present embodiment, machine learning is performed using the relaxation degree determination result as an objective variable, and various data (external factor information) that can affect the heart rate of the person to be determined and the stimulus provided to the person to be determined as explanatory variables. to calculate and update the model formula. Therefore, in the present embodiment, according to the situation of the person to be judged, for example, the individual person to be judged has compatibility with the stimulus and the environment surrounding the person to be judged at the time of the relaxation judgment. A stimulus suitable for relaxing is appropriately set.

(summary)
As described above, the relaxation determination device is provided with the stimulus selection section and the stimulus application section described above, so that the stimulus that relaxes the person to be judged can be determined according to the individual person to be judged.

In addition, since the relaxation determination device includes the reaction model updating section, the reaction model can be optimized according to each individual subject.

Further, if the relaxation determination device includes a reference data acquisition unit and a reaction model selection unit, a reaction model is selected according to the initial state of the person being determined in the relaxation determination. Therefore, such a configuration is more effective from the viewpoint of appropriately determining the stimulus for relaxing the person to be judged according to the state of the person to be judged when the relaxation judgment is made.

In addition, if the person to be judged is a passenger (driver) of a vehicle, and the reference data acquisition unit acquires the heart rate measurement value of the person to be judged after a predetermined time has passed since they boarded the vehicle as the reference data, the vehicle It is possible to more accurately determine the degree of relaxation of the person to be determined who boarded the vehicle. When the vehicle is an automobile, such a configuration can more accurately determine the degree of relaxation of the person to be judged who is driving the automobile, and is effective from the viewpoint of realizing a stable running state of the automobile. be.

Further, if the relaxation determination device further includes an attribute information acquisition unit, and the reaction model selection unit selects a reaction model by referring to the attribute information, each person to be judged can be easily specified, and the person to be judged can be easily identified. It is possible to associate the information specific to the person and the data regarding the determination of the degree of relaxation. Therefore, such a configuration makes it possible to more easily and appropriately determine the degree of relaxation suitable for each person to be determined.

In addition, if the relaxation determination device further includes an external factor information acquisition unit, and the reaction model selection unit selects a reaction model based on one or more factors indicated by the external factor information, in selecting the reaction model, the person to be judged It is possible to reflect the influence of external factors acting on the subject's degree of relaxation. Therefore, such a configuration makes it possible to select a stimulus more suitable for relaxing the person to be judged.

Further, if the external factor information acquisition unit acquires the external factor information including the environment information, and if the environment information includes information about the vehicle in which the person to be judged rides, the vehicle is used in the selection of the reaction model. It is possible to further reflect the influence on the determination. Therefore, when the vehicle is an automobile, such a configuration is more effective from the viewpoint of realizing a stable running state of the automobile.

In addition, if the measured value of the heartbeat of the person to be judged who is a passenger in the vehicle is acquired by a heartbeat sensor mounted on the vehicle, the relaxation judgment of the person to be judged in the vehicle can be performed more easily. Therefore, such a configuration is effective from the viewpoint of constantly utilizing the degree of relaxation of the person to be judged in the vehicle for operation of the vehicle.

[Embodiment 3]
Other embodiments of the invention are described below. For convenience of description, members having the same functions as those of the members described in the above embodiments are denoted by the same reference numerals, and description thereof will not be repeated.

(Configuration of relaxation induction device)
The relaxation induction device of this embodiment is the same as the relaxation determination device of Embodiment 2, except that the stimulus providing unit 210 is configured to provide the subject with a stimulus according to the determination result of the relaxation determination unit. has a configuration of The functional configuration of the relaxation induction device of this embodiment is the same as the functional configuration of the relaxation determination device of Embodiment 2, except that the attribute information acquisition unit 202 further includes a relaxation level setting unit. The relaxation degree setting unit sets the relaxation degree to which the person to be judged should be guided. The relaxation level setting unit may acquire a relaxation level setting value as an external input value, or may acquire a relaxation level setting value according to the environment in which the person to be judged exists.

(Example of relaxing induction processing)
An example of processing for inducing the subject to be relaxed to a desired degree of relaxation in this embodiment further includes a step of setting the degree of relaxation before step S207 of selecting a stimulus, and repeats the process from selecting a stimulus to updating the model formula. It is the same as the relaxation determination processing example of the second embodiment except that it is executable. For example, the processing example of the present embodiment further includes a step of obtaining a set value of the degree of relaxation before step S207 in the flowchart shown in FIG. It can be represented by a flow chart modified to return to step S207.

The step of setting the degree of relaxation can be executed, for example, by the person to be judged inputting the desired degree of relaxation via the input device 21 and acquiring the signal. For example, the input device 21 is configured so that the person to be judged can input a desired degree of relaxation. Acquire the input signal and output it as one of the attribute information. Then, the reaction model selection unit 204 selects a reaction model according to those attribute information.

Alternatively, in the step of setting the degree of relaxation, for example, when the person to be judged is a driver of a car, the relaxation degree setting unit sets a value within a predetermined numerical range as a degree of relaxation suitable for driving a car. can be executed by reading from the storage unit 13 .

Note that the relaxation induction process in the present embodiment may be terminated by receiving an operation by the person to be judged to instruct termination of the process, or when all the passengers get off the vehicle.

As is clear from the above description, in the present embodiment, the stimulus providing section 210 provides the subject with a stimulus according to the determination result of the relaxation determining section. As a result, according to this embodiment, the person to be judged is guided to a desired degree of relaxation.

(Effect)
In this embodiment, it is possible to determine the degree of relaxation with respect to the stimulus provided to the person to be judged, and guide the person to be judged to a desired degree of relaxation according to the determination result. Therefore, according to the present embodiment, it is possible to appropriately adjust the degree of relaxation of the person to be judged according to the situation of the person to be judged by using the method of determining the degree of relaxation by applying an appropriate stimulus. Become.

As is clear from the above description, the relaxation induction device of the present embodiment includes, in addition to the relaxation determination device of Embodiment 2, a stimulus providing unit that provides the subject with a stimulus according to the determination result of the relaxation determination unit. Prepare. According to this configuration, the degree of relaxation of the person to be judged can be guided to a desired degree.

[Example of realization by software]
The control blocks (especially the control units 12 and 24) of the relaxation determination devices 10 and 20 may be implemented by logic circuits (hardware) formed in integrated circuits (IC chips) or the like, or may be implemented by software. good.

In the latter case, the relaxation determination devices 10 and 20 are provided with computers that execute program instructions, which are software for realizing each function. This computer includes, for example, one or more processors, and a computer-readable recording medium storing the program. In the computer, the processor reads the program from the recording medium and executes it, thereby achieving the object of the present invention. As the processor, for example, a CPU (Central Processing Unit) can be used.

As the recording medium, a "non-temporary tangible medium" such as a ROM (Read Only Memory), a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. In addition, a RAM (Random Access Memory) for developing the above program may be further provided.

Also, the program may be supplied to the computer via any transmission medium (communication network, broadcast wave, etc.) capable of transmitting the program. Note that one aspect of the present invention can also be implemented in the form of a data signal embedded in a carrier wave in which the program is embodied by electronic transmission.

[Modification]
The above-described embodiments may include further modifications to the above-described configurations and processes as long as the effects of the above-described embodiments can be obtained.

For example, in Embodiment 1, the heart rate measurement value acquisition unit 121 may acquire the HF value according to the determination result of the amplitude determination unit 123 . For example, the heart rate measurement value acquisition unit 121 first acquires only the RR-I value of the person to be determined, and the amplitude determination unit 123 determines that the amplitude of the extremely low frequency component of the RR-I value exceeds the threshold. , the HF value of the person to be judged may be obtained.

In the second embodiment, the condition determination unit 200 may newly store each piece of acquired data in the storage unit 13, or update the corresponding existing data in the storage unit 13 to the acquired data as appropriate. good too.

In the second embodiment, the heart rate measurement value acquiring unit 121 continuously or intermittently at predetermined intervals not only after the stimulus providing device 26 provides the stimulus to the person to be judged, but also while the stimulus is being provided. Alternatively, the heartbeat data of the person to be judged may be acquired. Further, the relaxation level determination unit 230 may determine the relaxation level at a predetermined timing not only after the stimulus is provided, but also while the stimulus is being provided.

In the second embodiment, the relaxation determination device 20 may perform the relaxation determination process continuously while driving the vehicle, or may perform the process intermittently at predetermined intervals. Moreover, you may perform according to a to-be-judged person's input operation.

In Embodiment 3, the stimulus providing unit 210 may provide one or both of traffic information and road information to the person to be determined as a stimulus. The traffic information is information about vehicle traffic, such as traffic congestion information. The road information is information about roads on which vehicles can pass, such as expressways, general roads, road widths, and the number of lanes. For example, in order to increase the degree of relaxation of the person to be judged who drives the vehicle, the stimulus providing unit 210 may select a road that is more open or a road that allows driving with more peace of mind (for example, from an expressway to a general road, from a narrower road to a narrower road). Information leading to a wide road) may be provided as a stimulus.

In Embodiment 3, the control unit 24 may provide the person to be judged with a stimulus that lowers the degree of relaxation according to the degree of relaxation of the person to be judged. For example, it is assumed that the appropriate range of the degree of relaxation of the person to be judged when driving a vehicle is set to 0.5 to 0.8, and the degree of relaxation of the person to be judged driving the vehicle exceeds the above range. , the control unit 24 may cause the stimulus providing device 26 to provide a stimulus that lowers the degree of relaxation of the person to be judged until the degree of relaxation falls below 0.8.

In Embodiment 3, the control unit 24 may call appropriate attention to the person to be judged according to the degree of relaxation of the person to be judged. For example, if the subject's degree of relaxation is low and the degree of relaxation cannot be sufficiently increased even by the relaxation degree induction processing, the control unit 24 sends a message prompting the person to take a break, for example, to the stimulus providing device. 26. Further, the control unit 24 may notify the person to be judged of the degree of relaxation.

The present invention is not limited to the above-described embodiments, but can be modified in various ways within the scope of the claims, and can be obtained by appropriately combining technical means disclosed in different embodiments. is also included in the technical scope of the present invention.

10, 20 relaxation determination device 11 heart rate measurement device 12, 24 control unit 13 storage unit 21 input device 22 in-vehicle camera 23 in-vehicle sensor 26 stimulation providing device 121 heart rate measurement value acquisition unit 122 ultra-low frequency component extraction unit 123 amplitude determination unit 124 relaxation Determination unit 200 Condition determination unit 201 Reference data acquisition unit 202 Attribute information acquisition unit 203 External factor information acquisition unit 204 Reaction model selection unit 210 Stimulus provision unit 211 Stimulus selection unit 230 Relaxation degree determination unit 240 Reaction model update unit

Claims (13)

a heartbeat measurement value acquisition unit that acquires a heartbeat measurement value of the person to be judged;
an ultra-low frequency component extraction unit for extracting an ultra-low frequency component of heartbeat fluctuation of the person to be judged from the measured heartbeat value;
an amplitude determination unit that determines whether or not the amplitude per unit time of the very low frequency component is greater than a threshold;
If the amplitude is greater than the threshold, the degree of relaxation of the person to be judged is determined based on the high-frequency component value of the heartbeat fluctuation extracted from the heartbeat measurement value. a relaxation determination unit that determines the degree of relaxation of the person to be determined based on the length of the extracted heartbeat interval;
A relaxation determination device comprising: A stimulus selector that selects a stimulus to be applied to the person by referring to a reaction model that defines the relationship between the high-frequency component value or heartbeat interval length of the person to be judged and the content and intensity of the stimulus to be applied. When,
a stimulus applying unit that applies the selected stimulus to the person to be judged;
The relaxation determination device according to claim 1, further comprising: 3. The reaction model updating unit according to claim 2, further comprising a reaction model updating unit that updates the reaction model in accordance with the subject's high-frequency component value or heartbeat interval length after stimulus application and the content and intensity of the applied stimulus. Relaxation judgment device. a reference data acquisition unit that acquires reference data that is a reference for heartbeat measurement values of the person to be judged;
a reaction model selection unit that selects a reaction model by referring to reference data;
4. The relaxation determination device according to claim 2 or 3, further comprising: The person to be judged is a passenger of a mobile object,
5. The relaxation determination device according to claim 4, wherein the reference data acquisition unit acquires, as the reference data, a heart rate measurement value of the person to be judged after a predetermined time has passed since boarding the moving object. further comprising an attribute information acquiring unit for acquiring attribute information of the person to be judged;
6. The relaxation determination device according to claim 4, wherein the reaction model selection unit selects a reaction model by referring to attribute information. further comprising an external factor information acquisition unit that acquires external factor information including at least one of environment information indicating the environment in which the person to be judged exists and date and time information;
7. The relaxation determination device according to any one of claims 4 to 6, wherein the reaction model selection unit selects a reaction model based on one or more factors indicated by the external factor information. The external factor information acquisition unit acquires external factor information including environment information,
8. The relaxation determination device according to claim 7, wherein the environment information includes information about a mobile body on which the subject is boarded. The person to be judged is a passenger of a mobile object,
The relaxation determination device according to any one of claims 1 to 8, wherein the heartbeat measurement value acquiring unit acquires the heartbeat measurement value of the person to be judged from a heartbeat sensor mounted on a moving object. The relaxation judgment part
When the amplitude is greater than the threshold, the determination is made from the high frequency component value of the person to be determined based on the first relational expression showing the correlation between the high frequency component value and the degree of relaxation when the amplitude is greater than the threshold. determine the degree of relaxation of the person,
If the amplitude is less than or equal to the threshold, the length of the heartbeat interval of the person to be judged is calculated based on the second relational expression showing the correlation between the length of the heartbeat interval and the degree of relaxation when the amplitude is less than or equal to the threshold. Determining the degree of relaxation of the person to be judged from
The relaxation determination device according to any one of claims 1 to 9. The relaxation determination device according to any one of claims 1 to 10, wherein the ultra-low frequency component extraction unit extracts the ultra-low frequency component by taking a moving average of heartbeat fluctuations. obtaining a heart rate measurement of the subject;
a step of extracting an extremely low frequency component of the heartbeat fluctuation of the person to be determined from the heartbeat measurement value;
determining whether the amplitude per unit time of the very low frequency component is greater than a threshold;
If the amplitude is greater than the threshold, the degree of relaxation of the person to be judged is determined based on the high-frequency component value of the heartbeat fluctuation extracted from the heartbeat measurement value. Determining the degree of relaxation of the person to be determined based on the extracted heartbeat interval length;
Relaxation determination method including a heartbeat measurement value acquisition unit that acquires a heartbeat measurement value of the person to be judged;
an ultra-low frequency component extraction unit for extracting an ultra-low frequency component of heartbeat fluctuation of the person to be judged from the measured heartbeat value;
an amplitude determination unit that determines whether or not the amplitude per unit time of the very low frequency component is greater than a threshold;
If the amplitude is greater than the threshold, the degree of relaxation of the person to be judged is determined based on the high-frequency component value of the heartbeat fluctuation extracted from the heartbeat measurement value. a relaxation determination unit that determines the degree of relaxation of the person to be determined based on the length of the extracted heartbeat interval;
a stimulus providing unit that provides the person to be judged with a stimulus according to the result of the determination by the relaxation determining unit;
A relaxation induction device.

Images