JP6899953B2 - Sweating state judgment device, control method and control program of sweating state judgment device - Google Patents

Description

The present invention relates to a sweating state determination device, a control method and a control program of the sweating state determination device.

Conventionally, it has been known that mental sweat is secreted from the palm (palm), fingertips, soles of the feet, etc. by the action of the sympathetic nerve due to mental stimuli such as stress. In connection with this, a sweating state determining device for determining the mental sweating state of the user is known, and is used, for example, for the purpose of determining the stress level of the user, or as a so-called lie detector. There is.

International Publication No. 2011/096240 International Publication No. 2017/208650

Here, when the mental sweating state of the user is determined in real time by using the sweating state determination device, the measured value acquired by continuously measuring the amount of mental sweating (for example, every predetermined sampling cycle), Alternatively, a method of comparing the value obtained by standardizing (normalizing, standardizing, etc.) the measured value with a predetermined judgment threshold and judging the mental sweating state of the user based on the magnitude relationship is conceivable. Be done. By the way, the degree of mental sweating (more or less) and the fluctuation characteristics of mental sweating that fluctuate when receiving a mental stimulus such as stress vary greatly depending on individual differences. Therefore, originally, the fluctuation range (minimum value to maximum value) of the mental sweating amount of the user during the entire period for which the mental sweating state is to be determined is acquired, and the mental sweating in the acquired user. It is preferable to set a determination threshold used for determining the mental sweating state based on the fluctuation range of the amount from the viewpoint of appropriately determining the mental sweating state of the user.

However, when the user's mental sweating state is judged in real time using a conventional sweating state judging device, only the actually measured past mental sweating amount can be referred to, so the target for judging the mental sweating state is It was not possible to grasp the fluctuation range of the amount of mental sweating during the entire period. As a result, there is a problem that it is not possible to properly set a determination threshold value for use in determining the mental sweating state of the user, and it is difficult to appropriately determine the mental sweating state of the user.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique capable of appropriately determining a user's mental sweating state in a sweating state determination device. It is in.

The sweating state determination device according to the present invention for solving the above problems is based on the sweating amount measuring electrode for measuring the mental sweating amount of the user and the output value of the sweating amount measuring electrode. The amount of mental sweating of the user is continuously measured over a predetermined judgment target period, and the mental sweating state of the user is judged based on the comparison result between the measured amount of mental sweating and the judgment threshold. The control unit includes a control unit that executes control, and the control unit includes a transition of the mental sweating amount of the user that changes over time in a predetermined prediction feature quantity measurement period shorter than the determination target period, and the determination. A model for predicting the minimum amount of sweating that shows the relationship with the minimum value of the amount of mental sweating of the user during the target period, and a transition of the amount of mental sweating of the user that changes over time during the period for measuring the feature amount for prediction. A storage unit that stores a sweating amount maximum value prediction model that represents the relationship with the maximum value of the user's mental sweating amount in the determination target period, and a mentality of the user measured in the prediction feature amount measuring period. By applying the measured value of the sexual sweating amount as a feature amount to the sweating amount minimum value prediction model and the sweating amount maximum value prediction model, respectively, the minimum value of the mental sweating amount of the user in the determination target period can be obtained. The prediction unit that predicts the maximum value and the determination threshold are equal to or greater than the minimum predicted value, which is the minimum value of the user's mental sweating amount in the determination target period predicted by the prediction unit, and the determination target. It is characterized by having a setting unit for setting within a range equal to or less than the maximum predicted value which is the maximum value of the user's mental sweating amount during the period.

Further, in the sweating amount minimum value prediction model, the transition of the measured value of the mental sweating amount of the user in the prediction feature amount measurement period when the sweating state determination control is executed in advance and the user in the determination target period. By machine learning using a plurality of sweating amount minimum value learning data associated with the minimum value of the measured value of the mental sweating amount of the above as teacher data, the mental sweating amount of the user in the prediction feature amount measuring period It is a prediction model in which the relationship between the transition and the minimum value of the user's mental sweating amount in the determination target period has been learned, and the sweating amount maximum value prediction model has executed the sweating state determination control in advance. Learning of a plurality of maximum sweating amounts by associating the transition of the measured value of the user's mental sweating amount in the predictive feature amount measuring period with the maximum value of the user's mental sweating amount in the determination target period. By machine learning using the data used as teacher data, the relationship between the transition of the user's mental sweating amount during the prediction feature quantity measurement period and the maximum value of the user's mental sweating amount during the determination target period is learned. It may be a completed prediction model.

Further, the prediction unit includes the sweating amount minimum value prediction model and the sweating amount maximum value prediction model stored in the storage unit when the prediction feature amount measurement period elapses from the start of the main processing. The minimum predicted value and the maximum predicted value may be predicted based on the above.

In addition, the control unit uses the measured value of the user's mental sweating amount measured after the time when the predictive feature amount measuring period elapses from the start of the sweating state determination control as the sweating amount minimum value prediction model. Using the minimum predicted value and the maximum predicted value predicted based on the above-mentioned sweating amount maximum value prediction model, the minimum predicted value is set as the first value, and the maximum predicted value is set as the first value. A processing unit that performs scaling processing as a second value larger than is further provided, and the setting unit may set the determination threshold value as a fixed value equal to or greater than the first value and less than or equal to the second value. good.

The present invention can also be specified as a control method for the sweating state determination device. That is, the control method of the sweating state determination device according to the present invention is based on the output value of the sweating amount measuring electrode for measuring the mental sweating amount of the user and the sweating amount measuring electrode. The sweating state determination control that continuously measures the sexual sweating amount over a predetermined determination target period and determines the mental sweating state of the user based on the comparison result between the measured mental sweating amount and the determination threshold value. A control method of a sweating state determination device including a control unit to be executed, wherein the control unit is a user's mentality that changes with time in a predetermined prediction feature amount measurement period shorter than the determination target period. A sweating amount minimum value prediction model showing the relationship between the transition of the sweating amount and the minimum value of the user's mental sweating amount in the determination target period, and a user who changes with time in the prediction feature amount measurement period. It has a storage unit for storing a sweating amount maximum value prediction model showing the relationship between the transition of the mental sweating amount of the above and the maximum value of the user's mental sweating amount in the determination target period, and the prediction feature. By applying the measured value of the mental sweating amount in the user measured in the amount measurement period to the sweating amount minimum value prediction model and the sweating amount maximum value prediction model, respectively, the use in the determination target period. The minimum and maximum values of the person's mental sweating amount are predicted, respectively, and the minimum predicted value, which is the minimum value of the user's mental sweating amount in the predicted determination target period, is equal to or greater than the minimum predicted value, and the determination target period It is characterized in that the determination threshold value is set within a range equal to or less than the maximum predicted value which is the maximum value of the user's mental sweating amount.

Further, in the control method of the sweating state determination device, the control unit performs the sweating amount minimum value prediction model and the sweating amount maximum when the prediction feature amount measurement period elapses from the start of the sweating state determination control. The minimum predicted value and the maximum predicted value may be predicted based on the value prediction model.

Further, in the control method of the sweating state determination device, the control unit measures the mental sweating amount of the user measured after the time when the prediction feature amount measuring period elapses from the start of the sweating state determination control. With the minimum predicted value and the maximum predicted value predicted based on the sweating amount minimum value prediction model and the sweating amount maximum value prediction model, respectively, the minimum predicted value is set as the first value and the said The scaling process is performed with the maximum predicted value as a second value larger than the first value, and the determination threshold value is set as a fixed value equal to or greater than the first value and less than or equal to the second value. Is also good.

The present invention can also be specified as a control program for a sweating state determination device. That is, the present invention determines the mental sweating amount of the user for a predetermined determination target period based on the output value of the sweating amount measuring electrode for measuring the mental sweating amount of the user and the sweating amount measuring electrode. Sweating including a control unit that executes a sweating state determination control that continuously measures and determines the mental sweating state of the user based on the comparison result between the measured mental sweating amount and the determination threshold value. In the control program of the state determination device, the control unit describes the transition of the mental sweating amount of the user, which changes over time in a predetermined prediction feature quantity measurement period shorter than the determination target period, and the determination target. A model for predicting the minimum amount of sweating that shows the relationship with the minimum value of the amount of mental sweating of the user during the period, and the transition of the amount of mental sweating of the user that changes over time during the period for measuring the feature amount for prediction and the above. The control program has a storage unit that stores a sweating amount maximum value prediction model that represents the relationship with the maximum value of the user's mental sweating amount in the determination target period, and the control program is used in the control unit for the prediction. By applying the measured value of the mental sweating amount in the user measured in the feature amount measuring period to the sweating amount minimum value prediction model and the sweating amount maximum value prediction model, respectively, in the determination target period. The minimum and maximum values of the user's mental sweating amount are predicted, respectively, and the judgment target is equal to or greater than the minimum predicted value which is the minimum value of the user's mental sweating amount in the predicted determination target period. It is characterized in that the determination threshold value is set within a range equal to or less than the maximum predicted value which is the maximum value of the user's mental sweating amount during the period.

Further, the control program of the sweating state determination device informs the control unit of the sweating amount minimum value prediction model and the sweating amount maximum when the prediction feature amount measurement period elapses from the start of the sweating state determination control. The minimum predicted value and the maximum predicted value may be predicted based on the value prediction model.

Further, the control program of the sweating state determination device is a measurement value of the mental sweating amount of the user measured by the control unit after the time when the prediction feature amount measurement period elapses from the start of the sweating state determination control. With the minimum predicted value and the maximum predicted value predicted based on the sweating amount minimum value prediction model and the sweating amount maximum value prediction model, respectively, the minimum predicted value is set as the first value and the said The scaling process is performed with the maximum predicted value as a second value larger than the first value, and the determination threshold is set as a fixed value equal to or greater than the first value and less than or equal to the second value. You may.

Further, the present invention may be a computer-readable recording medium on which the control program of the sweating state determination device is recorded.

According to the present invention, it is possible to provide a technique that enables the sweating state determination device to appropriately determine the mental sweating state of the user.

FIG. 1 is an external perspective view of the suction device according to the first embodiment. FIG. 2 is an exploded perspective view of the suction device according to the first embodiment. FIG. 3 is a front view of the suction device according to the first embodiment. FIG. 4 is a side view of the suction device according to the first embodiment. FIG. 5 is a diagram illustrating a mounting structure of the mouthpiece unit and the wooden housing in the suction device according to the first embodiment. FIG. 6 is a diagram illustrating a mounting structure of the mouthpiece unit and the wooden housing in the suction device according to the first embodiment. FIG. 7 is a block diagram of the aspirator according to the first embodiment. FIG. 8 is a flowchart showing the power-on processing routine according to the first embodiment. FIG. 9 is a flowchart showing the main processing routine according to the first embodiment. FIG. 10 is a flowchart showing a feedback processing routine according to the first embodiment. FIG. 11 is a diagram conceptually showing the time transition of the amount of mental sweating when the control unit of the aspirator executes the stress degree analysis control. FIG. 12 is a block diagram of the aspirator according to the second embodiment. FIG. 13 is a flowchart showing a power-on processing routine according to the second embodiment. FIG. 14 is a flowchart showing the main processing routine according to the second embodiment. FIG. 15 is a diagram illustrating a suction device according to a modified example. FIG. 16 is a block diagram of the aspirator according to the third embodiment. FIG. 17 is a diagram illustrating a transition of the amount of mental sweating in the user when the aspirator according to the third embodiment executes the stress degree analysis control. FIG. 18 is a diagram showing the processing content of the main processing according to the third embodiment. FIG. 19 is a flowchart showing the processing content of the sweating amount determination processing in the main processing according to the third embodiment. FIG. 20 is a diagram showing a time transition of a scaled sweat amount measured value when stress degree analysis control is performed on a plurality of users who use the aspirator. FIG. 21 is a diagram showing the time transition of the corrected sweat amount measurement value when the stress degree analysis control is performed for a plurality of users who use the aspirator. FIG. 22 is a diagram showing a massage machine according to a first modification of the third embodiment. FIG. 23 is a schematic view of the remote controller according to the first modification of the third embodiment. FIG. 24 is a block diagram of the remote controller according to the first modification of the third embodiment. FIG. 25 is a diagram showing a state in which the user holds the remote controller according to the first modification with both hands. FIG. 26 is a schematic view of the portable inspection terminal according to the second modification of the third embodiment. FIG. 27 is a schematic view of the portable inspection terminal according to the second modification of the third embodiment. FIG. 28 is a schematic view showing the internal structure of the index finger covering portion and the ring finger covering portion in the portable inspection terminal according to the second modification of the third embodiment. FIG. 29 is a block diagram of the portable inspection terminal according to the second modification of the third embodiment.

Here, an embodiment of the aspirator according to the present invention will be described with reference to the drawings. Unless otherwise specified, the dimensions, materials, shapes, relative arrangements, and the like of the components described in the present embodiment are not intended to limit the technical scope of the invention to those alone.

<Embodiment 1>
≪Aspirator≫
FIG. 1 is an external perspective view of the suction device 1 according to the first embodiment. FIG. 2 is an exploded perspective view of the suction device 1 according to the first embodiment. FIG. 3 is a front view of the suction device 1 according to the first embodiment. FIG. 4 is a side view of the aspirator 1 according to the first embodiment. In addition, in FIG. 3 and FIG. 4, a part of the internal structure of the aspirator 1 is shown by a broken line.

The aspirator 1 is a small portable aspirator having a stress check function for checking the degree of stress of the user by measuring the amount of mental sweating in the palm of the user. The suction device 1 has a mouthpiece 11, a mouthpiece receiver 12, a wooden housing 13, and the like, and the outer shape is defined by these. The material of the mouthpiece 11 and the mouthpiece receiver 12 is not particularly limited, but in the present embodiment, it is made of resin.

Reference numeral 20 shown in FIG. 2 is a control unit that controls the entire aspirator 1. The control unit 20 includes a board storage unit 22, a power supply 23, a fixed unit 24, and the like for storing an electronic board 21 (the outer shape is shown by a broken line in FIG. 3). An exposed portion 25 that is exposed to the outside in a state of being assembled as an aspirator 1 is formed on a part of the surface of the substrate storage portion 22, and a pair of electrodes for measuring the amount of mental sweating 26, 27 are arranged side by side in the vertical direction. The electrodes 26 and 27 for measuring the amount of mental sweating are electrodes used for measuring the amount of mental sweating. The position, size, shape, etc. of the electronic board 21 stored inside the board storage unit 22 in the storage space are not particularly limited.

The power supply 23 has a battery storage unit 231 for storing the battery 230. A storage space 231a for storing the battery 230 is formed inside the battery storage unit 231, and the battery 230 can be inserted into and removed from the storage space 231a through an insertion port formed in the upper part of the substrate storage unit 22. In the present embodiment, the battery 230 is a dry battery, but the battery 230 is not limited to this, and may be, for example, a lithium ion battery or the like. In the control unit 20 of the present embodiment, the board storage unit 22 and the power supply 23 are integrally formed, but they may be configured as separate bodies. The power source 23 (battery 230) supplies the electric power required for the operation of the aspirator 1.

The wooden housing 13 has an accommodation space 130 for accommodating the control unit 20 shown in FIG. 2 and the like. The fixing unit 24 is a member for fixing the control unit 20 to the wooden housing 13 using the screws 28 shown in FIG. On the lower surface of the fixed unit 24, a spring terminal 241 in contact with the negative pole of the battery 230 and a contact terminal 242 in contact with the positive pole of the battery 230 are provided (see FIGS. 2, 3 and the like). Further, reference numeral 231b shown in FIG. 3 is a spring terminal provided on the battery storage portion 231 side, and reference numeral 231c is a contact terminal provided on the battery storage portion 231 side. The spring terminal 231b of the battery storage unit 231 contacts the negative pole of the battery 230 stored in the battery storage unit 231, and the contact terminal 231c contacts the positive pole of the battery 230 stored in the battery storage unit 231. It is provided. The spring terminal 231b and the contact terminal 231c of the battery storage portion 231 are arranged at the bottom of the storage space 231a.

The fixing unit 24 is provided with a pair of insertion holes 243 for inserting the screws 28. With the screw 28 inserted through the insertion hole 243, the screw 28 is screwed into the screw hole 131 provided in the wooden housing 13, so that the battery 230 is pressed between the terminals, and the wooden housing 13 is pressed. The control unit 20 can be fixed in the accommodation space 130 of the above. Further, the fixing unit 24 has a hollow inside, and a detachable opening 244 is formed on the upper surface of the fixing unit 24. The attachment / detachment opening 244 includes a circular insertion / extraction hole 244a and a slide hole 244b that communicates with the insertion / extraction hole 244a and has an elongated shape. The width dimension of the slide hole 244b orthogonal to the stretching direction is designed to be smaller than the diameter of the insertion / extraction hole 244a.

In the suction device 1 according to the present embodiment, the mouthpiece unit 10 is formed in a state where the mouthpiece 11 is attached to the mouthpiece receiver 12, and the mouthpiece unit 10 is detachable from the wooden housing 13. ing. As shown in FIG. 2, the mouthpiece receiver 12 has a mounting hole 121 on which a cylindrical body 111 provided on one end side of the mouthpiece 11 can be mounted. Here, the inner diameter of the mounting hole 121 is substantially the same as the outer diameter of the cylindrical body 111. By inserting the cylindrical body 111 of the mouthpiece 11 into the mounting hole 121 of the mouthpiece receiver 12, the mouthpiece 11 is mounted on the mouthpiece receiver 12 and becomes an integrated mouthpiece unit 10. A mouthpiece hole 112 is provided on the other end side of the mouthpiece 11. The mouthpiece hole 112 extends so as to penetrate the mouthpiece 11 in the axial direction. The wooden housing 13 of the suction device 1 is provided with a ventilation hole (not shown), and the ventilation hole and the suction hole 112 of the suction port unit 10 (suction port 11) are connected to the inside of the wooden housing 13. A ventilation path (not shown) is formed.

5 and 6 are views for explaining the attachment structure of the mouthpiece unit 10 and the wooden housing 13 in the suction device 1 according to the first embodiment. As shown in FIG. 5, a locking projection 122 is projected downward on the lower surface 12a side of the mouthpiece receiver 12 in the mouthpiece unit 10. The locking projection 122 has a shaft portion 122a projecting from the lower surface 12a and a locking portion 122b provided at the tip of the shaft portion 122a. The locking portion 122b of the locking projection 122 has a disk shape having a diameter larger than that of the shaft portion 122a.

The locking projection 122 in the mouthpiece unit 10 configured as described above is freely engaged with and detached from the attachment / detachment opening 244 provided in the fixing unit 24. Specifically, the diameter of the locking portion 122b in the locking projection 122 is smaller than the inner diameter of the insertion / extraction hole 244a of the attachment / detachment opening 244 in the fixing unit 24, and larger than the width dimension of the slide hole 244b. Further, the diameter of the shaft portion 122a in the locking projection 122 is smaller than the width dimension of the slide hole 244b.

When the mouthpiece unit 10 is mounted on the wooden housing 13, the position of the locking projection 122 on the mouthpiece unit 10 is aligned with the position of the insertion / removal hole 244a on the fixing unit 24, and the lower surface 12a of the mouthpiece receiver 12 is the fixing unit. The locking projection 122 is inserted into the insertion / extraction hole 244a until it comes into contact with the upper surface 24a of the 24. After that, the shaft portion 122a of the locking projection 122 is slid along the slide hole 244b so that the lower surface 12a of the mouthpiece receiver 12 slides with the upper surface 24a of the fixing unit 24. Then, when the shaft portion 122a of the locking protrusion 122 is slid to, for example, the tip of the slide hole 244b, the lock portion 29 shown in FIG. 6 operates, and the locked portion of the mouthpiece unit 10 (not shown). ) Is locked, so that the mouthpiece unit 10 is attached to the wooden housing 13. Further, in this state, the locking portion 122b of the locking projection 122 is formed at the edge of the slide hole 244b.

On the other hand, when the mouthpiece unit 10 is removed from the wooden housing 13, the lock portion 29 is unlocked, and the shaft portion 122a of the locking protrusion 122 is provided at the base end (insertion / extraction hole) along the slide hole 244b. Slide towards the end to be connected to 244a). Then, the suction port unit 10 can be removed from the wooden housing 13 by sliding the position of the locking protrusion 122 to the insertion / removal hole 244a and then pulling out the locking protrusion 122 from the insertion / removal hole 244a.

FIG. 7 is a block diagram of the aspirator 1 according to the first embodiment. A control unit 30 which is a control unit for controlling the suction device 1 is mounted on the electronic substrate 21 of the suction device 1. The control unit 30 may be a microcomputer having, for example, a processor, a memory, or the like. The control unit 30 is connected to the mental sweating amount measuring electrodes 26 and 27, the pressure sensor 40, the vibration motor 41, the light emitting element 43, the power supply 23 and the like via electrical wiring, and is connected to the mental sweating amount measuring electrode 26. , 27, The output signal output by the pressure sensor 40 is input.

The atmospheric pressure sensor 40 is provided inside the wooden housing 13, and is a sensor that detects the atmospheric pressure inside the wooden housing 13. The barometric pressure sensor 40 is, for example, a condenser microphone sensor, and may output a voltage value indicating, for example, the electric capacity of the condenser. In the barometric pressure sensor 40, when the suction port 11 is sucked by the user, the air taken into the wooden housing 13 from the ventilation hole (not shown) is ventilated toward the suction hole 112 of the suction port 11. It outputs the air pressure inside the wooden housing 13 that changes as it flows through the road (not shown).

The vibration motor 41 is a motor that is driven (operated) by receiving electric power supplied from the battery 230 in the power supply 23. When the vibration motor 41 is driven, the frequency of the vibration motor 41 is determined so that the wooden housing 13 vibrates.

The light emitting element 43 is, for example, a light source such as an LED or an electric lamp. The light emitting element 43 is provided in, for example, a wooden housing 13 in such a manner that the light at the time of light emission can be visually recognized by the user. For example, the light emitting element 43 may be provided on the side surface of the wooden housing 13 opposite to the mouthpiece 11, whereby the user can emit light from the light emitting element 43 during the suction operation of the mouthpiece 11. The pattern can be easily visually recognized. The light emitting element 43 may emit light in a different light emitting pattern depending on the state of the aspirator 1. The electric power for operating the light emitting element 43 is supplied from the power supply 23.

The mental sweating amount measuring electrodes 26 and 27 correspond to skin conductance based on the resistance value when a weak sweating amount measuring current is applied to the skin of the user's finger by receiving power from the power source 23. Output the response value. In the suction device 1 according to the present embodiment, for example, when the user grips the wooden housing 13, the index finger and the middle finger come into contact with each other at two predetermined positions (that is, the respective positions where the index finger and the middle finger are placed). A set of electrodes 26 and 27 for measuring the amount of mental sweating are arranged. As a result, while the user holds the suction device 1, the mental sweating amount measuring electrodes 26 and 27 can be maintained in a state of being in contact with the skin surface of the user's finger. However, the arrangement position of the set of electrodes 26 and 27 for measuring the amount of mental sweating is not limited to the above position. For example, when the user grips the wooden housing 13, the two regions (parts) having different palms of the user holding the wooden housing 13 may be arranged at two predetermined locations. For example, a set of electrodes 26 and 27 for measuring the amount of mental sweating may be arranged at two locations corresponding to the palm bottom of the user's palm and the ball of the thumb, or the palm bottom of the user's palm. , It may be arranged at two places corresponding to any finger, or it may be arranged at two places corresponding to the ball of the palm and any finger. Further, a set of electrodes 26 and 27 for measuring the amount of mental sweating may be arranged at two locations corresponding to two fingers different from the combination of the index finger and the middle finger of the user's palm.

As shown in FIG. 7, the control unit 30 includes an atmospheric pressure acquisition unit 31, a power switch unit 32, a sweat amount measurement unit 33, a motor control unit 34, a storage unit 35, a setting unit 36, a light emission control unit 37, and a determination unit 38. It has a time measuring unit 39 and the like. The storage unit 35 is, for example, a non-volatile memory, and stores various programs for execution by the processor of the control unit 30. The stress degree analysis control is performed by the processor of the control unit 30 executing various programs stored in the storage unit 35. The stress degree analysis control is a control for analyzing the stress degree of the user by measuring the amount of mental sweating of the user who uses the aspirator 1.

The atmospheric pressure acquisition unit 31 acquires the atmospheric pressure in the wooden housing 13 based on the output signal of the atmospheric pressure sensor 40. For example, the air pressure acquisition unit 31 detects the suction operation (puff operation) of the mouthpiece 11 by the user based on the acquired air pressure in the wooden housing 13 (that is, by detecting the negative pressure). For example, the atmospheric pressure acquisition unit 31 detects a suction state (suction section) in which the user is sucking the suction port 11 and a non-suction state (non-suction section) in which the suction port 11 is not sucked. Thereby, the atmospheric pressure acquisition unit 31 can specify the number of suction operations for sucking the suction port 11. The specific method itself for detecting the start of the suction operation (puff operation) using the barometric pressure sensor 40 and the end of the suction operation is known, and detailed description thereof is omitted here.

The time measuring unit 39 has, for example, a time measuring function for measuring the elapsed time from the end of the suction (puff) operation by the user, and the elapsed time from the start of the main process and the feedback process described later. ..

The power switch unit 32 switches to the on state when the power of the suction device 1 is turned on, and switches to the off state when the power of the suction device 1 is turned off. The power switch unit 32 starts from the on state when a predetermined time elapses without detecting the next suction operation after the expiration of the timer in the time measuring unit 39, for example, the latest suction operation is detected by the atmospheric pressure acquisition unit 31. You may switch to the off state. Further, when the power switch unit 32 is in the off state, for example, when the atmospheric pressure acquisition unit 31 detects the start of the first suction operation by the user, the power switch unit 32 may be switched from the off state to the on state. ..

The sweating amount measuring unit 33 of the control unit 30 is connected to the mental sweating amount measuring electrodes 26 and 27, and is based on the response value corresponding to the skin conductance output from the mental sweating amount measuring electrodes 26 and 27. To measure the amount of mental sweating of the user.

The setting unit 36 of the control unit 30 sets reference values, threshold values, and the like for each parameter related to the stress degree analysis control described later, stores the data in the storage unit 35, and updates (resets) the parameters. Further, the setting unit 36 also stores, updates (reset), and the like in the storage unit 35 with respect to the count value obtained by counting the number of suctions (puffs) of the user when the power switch unit 32 is in the ON state.

Further, the motor control unit 34 controls the drive of the vibration motor 41 and vibrates the wooden housing 13 to notify the user of various information. In addition, the light emission control unit 37 controls the light emission of the light emitting element 43 and notifies the user of various information. Further, the determination unit 38 performs various determination processes in the stress degree analysis control described later.

≪Control content≫
Next, the stress degree analysis control executed by the control unit 30 in the aspirator 1 according to the first embodiment will be described. FIG. 8 is a flowchart showing a power-on processing routine executed by the control unit 30 in the first embodiment. FIG. 9 is a flowchart showing a main processing routine executed by the control unit 30 after the power-on processing routine in the first embodiment is completed. FIG. 10 is a flowchart showing a feedback processing routine executed by the control unit 30 after the main processing routine in the first embodiment is completed. The various processing routines shown in FIGS. 8 to 10 can be realized by the processor of the control unit 30 executing various programs stored in the storage unit 35.

Further, FIG. 11 is a diagram conceptually showing the time transition of the mental sweating amount Qs when the control unit 30 of the aspirator 1 executes the stress degree analysis control. In FIG. 11, the horizontal axis represents time T, and the vertical axis represents mental sweating amount Qs. As shown in FIG. 11, the power-on processing is executed in the power-on processing section corresponding to the section of time T0 to T1. Further, the main processing is executed in the main processing section corresponding to the section of time T1 to T2, and the feedback processing is executed in the feedback processing section corresponding to the section of time T2 to T3.

[Power-on processing routine]
Next, the specific contents of the power-on process will be described with reference to FIG. The power-on process is a control flow in which the control unit 30 starts execution when the power switch unit 32 is switched from the off state to the on state. As described above, when the air pressure acquisition unit 31 detects the start of the first suction (puff) operation by the user when the power switch unit 32 is in the off state, the power switch unit 32 is in the on state from the off state. Switch to.

When the power-on process is started by switching the power switch unit 32 from the off state to the on state at the time T0 shown in FIG. 11, in step S101, the setting unit 36 of the control unit 30 is stored in the storage unit 35. Performs initialization processing to initialize (reset) the previous setting information. The previous setting information referred to here is the number of suctions stored in the storage unit 35 when the stress degree analysis control was executed when the suction device 1 was last started (when the state was switched from the off state to the on state). Reset (delete) the suction frequency data, the pressure reference value data regarding the pressure reference value, the initial reference sweat amount data regarding the initial reference sweat amount Qsb, the judgment sweat amount data regarding the judgment sweat amount Qsj, and the like. The atmospheric pressure reference value data, the initial reference sweating amount data, and the judgment sweating amount data will be described later.

Next, in steps S102 and S103, the setting unit 36 of the control unit 30 acquires the atmospheric pressure reference value data and the initial reference sweating amount data related to the stress degree analysis control this time, and stores them in the storage unit 35. Specifically, in step S102, the atmospheric pressure acquisition unit 31 of the control unit 30 acquires the atmospheric pressure data in the wooden housing 13 based on the output signal of the atmospheric pressure sensor 40. In this step, when the user is not sucking the suction port 11 (non-suction section), for example, a predetermined cycle (for example, 3 seconds) over a predetermined data acquisition period (for example, 3 seconds) The average value obtained by averaging the atmospheric pressure data acquired every 100 ms) is set as the atmospheric pressure reference value. The setting unit 36 stores the atmospheric pressure reference value data related to the atmospheric pressure reference value set in this step in the storage unit 35. Since the pressure reference value acquired as described above is the pressure data in the wooden housing 13 in the non-suction state (non-suction section), it generally matches the atmospheric pressure.

Next, in step S103, the sweating amount measuring unit 33 of the control unit 30 extends the user's mental sweating amount every predetermined cycle (for example, 100 ms) over a predetermined data acquisition period (for example, 3 seconds). To measure. In the measurement of the amount of mental sweating, the sweating amount measuring unit 33 issues a command to the power source 23, and the power source 23 supplies electric power to the electrodes 26 and 27 for measuring the amount of mental sweating. As described above, the mental sweating amount measuring electrodes 26 and 27 are positioned so that the user's fingers (for example, the index finger and the middle finger) holding the aspirator 1 touch the mental sweating amount measuring electrodes 26 and 27. Is located in. The sweating amount measuring unit 33 applies a weak sweating amount measuring current to the skin of the user's finger holding the aspirator 1 from the mental sweating amount measuring electrodes 26 and 27, and causes the mental sweating amount measuring electrode 26, The amount of mental sweating of the user can be measured based on the response value corresponding to the skin conductance output from 27.

The sweating amount measuring unit 33 of the control unit 30 has a plurality of mentality related to the mental sweating amount acquired at predetermined cycles (for example, 100 ms) over a predetermined data acquisition period (for example, 3 seconds) as described above. The average value obtained by averaging the sweating amount data is acquired as the initial reference sweating amount Qsb. Then, the setting unit 36 of the control unit 30 stores the initial reference sweating amount data regarding the initial reference sweating amount Qsb in the storage unit 35. The initial reference sweat amount Qsb acquired in this step reflects the state of the user in the non-suction state (non-suction section) in which the user does not suck the mouthpiece 11 at the start of the stress degree analysis control. This is the standard value for the amount of mental sweating. The process of step S103 and the process of step S102 described above may be performed at the same time, or may be executed in a different order.

Next, in step S104, a start notification is performed to notify (notify) the user of the start of the stress degree analysis control. Specifically, the motor control unit 34 of the control unit 30 supplies electric power to the vibration motor 41 from the power supply 23 to operate (drive) the vibration motor 41. The wooden housing 13 is vibrated by driving the vibration motor 41, and the user is made to sense the vibration, so that the user can be notified of the start of the stress degree analysis control. Further, instead of or in combination with the notification by the vibration of the wooden housing 13, the start notification may be given by the light emission of the light emitting element 43. In this case, the light emitting control unit 37 supplies electric power to the light emitting element 43 from the power source 23, and causes the light emitting element 43 to emit light in a predetermined light emitting pattern.

By detecting the start notification by vibration or light emission, it is possible to grasp that the preparation on the suction device 1 side is completed, and easily shift to the suction operation (deep breathing operation) of the suction port 11 for relieving stress. Can be grasped. The start notification notified to the user in this step can also be used as a notification for notifying (notifying) the user that the acquisition of the initial reference sweating amount Qsb is completed.

Further, in the above start notification, the vibration pattern when the vibration motor 41 is vibrated can be appropriately changed. For example, when the vibration motor 41 is vibrated, the state in which the vibration motor 41 is driven and the state in which the driving is suspended may be alternately repeated. Although not particularly limited, for example, the drive time of the vibration motor 41 may be set to 200 ms, the pause time may be set to 400 ms, and the drive and pause may be repeated in a plurality of sets (for example, twice). Further, when the vibration notification by the vibration of the wooden housing 13 and the light emission notification by the light emission of the light emitting element 43 are used in combination, both may be performed at the same time or may be performed with a time lag. When shifting in time, the order of vibration notification and light emission notification can be changed as appropriate. When the process of step S104 is completed, the control unit 30 temporarily ends the power-on process and starts the process related to the main process routine shown in FIG.

At the time T1 shown in FIG. 11, when the power-on process is completed and the main process is started, the mental sweating amount Qs gradually decreases from the time T1 to the time T2. This is because, in the main processing section, as the suction operation of sucking the suction device 1 by the user is repeatedly performed as described later, the user substantially repeats deep breathing, and the degree of stress of the user is reduced. This is due to the fact that it leads to a decrease in the reflected mental sweating amount Qs. It is known that when the sympathetic nervous system is tense, the amount of mental sweating from the skin surface increases. In addition, when the mental and physical tension is relieved by taking a deep breath, the parasympathetic nerve becomes dominant, and the amount of mental sweating also decreases. In the present invention, it is determined that the reduction in the amount of mental sweating leads to the relief and reduction of the stress of the user. That is, in the stress degree analysis control in the present embodiment, it is presumed that the increase / reduction of stress is correlated with the tension / relaxation of the sympathetic nervous system, and the mentality is recognized to be correlated with the tension / relaxation of the sympathetic nervous system. Analyze the degree of stress of the user based on the amount of sweating. According to the aspirator 1 according to the present embodiment, the wooden housing 13 is provided, and the wooden housing 13 is formed as an aroma generating source containing an aroma component. Therefore, the stress is reduced only by the user performing the suction operation of the suction device 1, but the user can suck the aroma component emitted from the wooden housing 13 when the suction device 1 is sucked, and the user feels more relaxed. Can be given.

In FIG. 11, at the time T1 when the main treatment is started, the mental sweating amount Qs is the initial reference sweating amount Qsb set in the power-on processing. Then, in the example shown in FIG. 11, the user is awakened by applying a minute stress to the user when the mental sweating amount Qs decreases to a predetermined low stress sweating amount Qsb2 at time T2. The awakening process is performed, the main process is completed, and the feedback process is started.

The low stress sweating amount Qsb2 is set to a value lower than the initial reference sweating amount Qsb by a predetermined first reference sweating reduction amount ΔQsd1. Here, in the low stress sweating amount Qsb2, if the mental sweating amount Qs is reduced from the initial reference sweating amount Qsb by the first reference sweating reduction amount ΔQsd1, the tension of the sympathetic nervous system of the user is relaxed and the stress is sufficiently reduced. It is set as a threshold that can be judged to have been resolved. The first reference sweat reduction amount ΔQsd1 may be set as a fixed value, or the setting may be changed by the user.

When the awakening process is performed at the time T2 in FIG. 11, the mental sweating amount Qs gradually increases at that time. The details of the awakening process will be described later, but in the awakening process, a slight stress is intentionally given to the user by stimulating the skin of the user, and the awakening level of the user is slightly increased. In FIG. 11, the mental sweating amount Qs at the time T2 corresponds to the low stress sweating amount Qsb2, and the mental sweating amount Qs is increased from the time T2 by giving the user a stimulus related to the awakening process at the time T2. It gradually rises toward T3. Then, the feedback process ends when the predetermined awakening completion sweating amount Qsb3 is reached at time T3.

The awakening complete sweating amount Qsb3 is set to a value larger than the low stress sweating amount Qsb2 by a predetermined first reference sweating increase amount ΔQsu1. The first reference sweating increase amount ΔQsu1 is set to a value smaller than that of the first reference sweating decrease amount ΔQsd1. With regard to the first reference sweating increase amount ΔQsu1, if the mental sweating amount Qs increases from the low stress sweating amount Qsb2 by the first reference sweating increase amount ΔQsu1, the user maintains a low stress state and is sufficiently awakened. It can be set as a threshold value at which it can be determined that the state is reached. The first reference sweating increase amount ΔQsu1 may be set as a fixed value, or the setting may be changed by the user.

[Main processing routine]
Next, with reference to FIG. 9, the specific contents of the main processing executed by the control unit 30 will be described. When the main processing routine shown in FIG. 9 is started, the barometric pressure acquisition unit 31 acquires the barometric pressure data output from the barometric pressure sensor 40 in step S201.

Next, in step S202, the determination unit 38 determines whether or not the suction port 11 is currently being sucked by the user based on the atmospheric pressure data acquired in step S201. In this step, when the determination unit 38 determines that the suction state is in the suction state, the suction count data stored in the storage unit 35 is updated. Since the suction count data stored in the storage unit 35 and the suction count data stored in the storage unit 35 are temporarily reset in step S101 of the power-on process, in this step, the main processing routine of this time is set. The value obtained by accumulating the number of suctions since the start is stored in the storage unit 35. Then, after updating the suction number data in the storage unit 35, the process proceeds to step S203. If the determination unit 38 determines in step S202 that it is in a non-suction state, the process proceeds to step S209. The processing content of step S209 will be described later.

Next, in step S203, the sweating amount measuring unit 33 measures the mental sweating amount Qs of the user. That is, in this step, the mental sweating amount Qs of the user during the suction operation is measured. In this step, as in step S103 of the power-on process shown in FIG. 8, a weak sweat amount measurement current is applied to the skin of the user's finger holding the aspirator 1 from the mental sweat amount measurement electrodes 26 and 27. The skin conductance is measured by flowing, and the mental sweating amount Qs is obtained based on the measured value of the skin conductance. In this step, since the user's mental sweating amount Qs in the suction state is measured, it is possible to reduce the body movement artifact which is an apparent change (noise) in the mental sweating amount due to body movement. it can.

In steps S202 and S203, the mental sweating amount Qs is measured when the user detects that the suction operation is in progress, but the suction operation is continued for a certain period of time or longer. The mental sweating amount Qs may be measured only after the detection of. In this case, the determination unit 38 acquires the duration of the suction operation by the user from the time measuring unit 39, and when it is determined that the duration of the suction operation exceeds a predetermined threshold value, the sweating amount measuring unit 33 causes mental sweating. The quantity Qs may be measured.

Next, the process proceeds to step S204, and the determination unit 38 determines the measurement value of the mental sweating amount (hereinafter referred to as “latest measured value”) acquired most recently and the determination sweating amount Qsj stored in the storage unit 35. The sweating change amount ΔQs, which is the difference from the above, is calculated. The determination sweating amount Qsj is a determination sweating amount used when comparing the magnitude with the low stress sweating amount Qsb2 in the determination step described later, and the mental sweating amount is gradually sucked by repeatedly sucking the aspirator 1. The amount of sweating that reflects the user's condition.

The determination unit 38 determines whether or not the calculated sweat change amount ΔQs is less than the permissible change amount ΔQsa (for example, 10 [mg / cm ² / min]) which is a predetermined threshold value. Here, when the sweating change amount ΔQs is less than the permissible change amount ΔQsa, the process proceeds to step S205, and the setting unit 36 relates to the determination sweating amount Qsj stored in the storage unit 35 using the latest measured value. Update the sweating amount data for judgment. In step S205, the latest measured value is adopted as the determination sweating amount Qsj and stored in the storage unit 35. When the process of step S205 is completed, the process proceeds to step S206.

At the time of the first measurement for measuring the mental sweating amount for the first time after the main processing routine is started, the judgment sweating amount data regarding the judgment sweating amount Qsj is reset in the storage unit 35. In this case, the process of step S204 is omitted, and the process proceeds to step S205, and the initial measured value regarding the mental sweating amount is stored in the storage unit 35 as the determination sweating amount Qsj. When the process of step S205 is completed, the process proceeds to step S206.

Further, in step S204, when the sweating change amount ΔQs is equal to or more than the permissible change amount ΔQsa, the step is performed as it is without updating the judgment sweating amount data regarding the judgment sweating amount Qsj stored in the storage unit 35. Proceed to S206. In the present embodiment, when the sweating change amount ΔQs is equal to or more than the permissible change amount ΔQsa, that is, the latest measured value acquired most recently is excessively changed with respect to the measured value acquired before the latest measured value. In such a case, it is judged that the latest measured value is greatly affected by the body movement artifact, and the latest measured value is not adopted as the judgment sweating amount Qsj.

Next, in step S206, the determination unit 38 determines whether or not the determination sweating amount Qsj stored in the storage unit 35 is less than the low stress sweating amount Qsb2 described with reference to FIG. The low stress sweating amount Qsb2 is set as a value lower than the initial reference sweating amount Qsb set in step S103 of the power-on process by the first reference sweating reduction amount ΔQsd1. If it is determined in step S206 that the determination sweating amount Qsj is less than the low stress sweating amount Qsb2, the process proceeds to step S207, and if it is determined that the determination sweating amount Qsj is less than or equal to the low stress sweating amount Qsb2. Proceeds to step S209.

In step S207, the motor control unit 34 supplies electric power to the vibration motor 41 from the power supply 23 to operate (drive) the vibration motor 41 to execute the awakening process. The awakening process is a process of raising the awakening level of the user by applying a vibration stimulus (minute stress) of the wooden housing 13 caused by driving the vibration motor 41 to the user. The drive pattern of the vibration motor 41 in the awakening process is not particularly limited, but the awakening level of the user may be increased by driving the vibration motor 41 for, for example, 1000 ms. When the awakening process of step S207 is completed, the process proceeds to step S208.

In step S208, the light emitting control unit 37 controls the light emitting element 43 to supply electric power from the power source 23, and causes the light emitting element 43 to emit light in a predetermined light emitting pattern, thereby notifying the user of the completion of stress relief. Notify (notify). This stress relieving completion notification is a notification for notifying the user that the tension of the sympathetic nervous system of the user has been relieved and the stress has been sufficiently relieved. The light emitting pattern of the light emitting element 43 in this step may be set to a light emitting pattern different from the case of notifying the user of the start notification in step S105 of the power-on process described above. When the process of step S208 is completed, the main process is temporarily terminated, and the process related to the feedback processing routine shown in FIG. 10 is started.

Next, the process of step S209 will be described. In step S209, the determination unit 38 acquires the elapsed time Tp1 from the start of the main process from the timekeeping unit 39. Then, the determination unit 38 determines whether or not the acquired elapsed time Tp1 exceeds the predetermined first timeout time Tsh1. The first timeout time Tsh1 may be set as a fixed value (for example, about 180 seconds), or the setting may be changed by the user.

If it is determined in step S209 that the elapsed time Tp1 has not passed the first timeout time Tsh1, the process returns to the process of step S201, and the processes of steps S201 to S206 are repeated. On the other hand, if it is determined in step S209 that the elapsed time Tp1 has passed the first timeout time Tsh1, the process proceeds to step S210, and the awakening process is performed in the same manner as in step S207. Then, when the awakening process of step S210 is completed, the process proceeds to step S211.

In step S211 the light emitting control unit 37 causes the light emitting element 43 to emit light in a predetermined light emitting pattern, thereby notifying (notifying) the user of a time-out notification to the effect that a time-out has occurred. The light emitting pattern of the light emitting element 43 in this step may be set to a light emitting pattern different from the above-mentioned start notification at the time of power-on processing and the stress relieving completion notification. When the notification process in step S211 is completed, the main process is temporarily terminated, and the process related to the feedback processing routine shown in FIG. 10 is started.

[Feedback processing]
When the control unit 30 starts the feedback processing routine, first, in step S301, the sweating amount measuring unit 33 measures the mental sweating amount Qs of the user. The measurement of the mental sweating amount Qs is the same as the processing content in step S203 of the main processing. Next, the process proceeds to step S302, and the determination unit 38 determines whether or not the mental sweating amount Qs measured in step S301 exceeds the awakening complete sweating amount Qsb3.

Here, a method for determining the amount of awakening completed sweating Qsb3 will be described. In the present embodiment, the awakening complete sweating amount Qsb3 depends on whether the mental sweating amount Qs is reduced to the low stress sweating amount Qsb2 in the above-mentioned main processing routine or the main processing routine is terminated due to a timeout. , Each is set to a different value.

Specifically, in the main processing routine, when the awakening process is performed when the mental sweating amount Qs drops to the low stress sweating amount Qsb2, the awakening completed sweating amount Qsb3 is higher than the low stress sweating amount Qsb2. A predetermined first reference sweating increase amount ΔQsu1 is set as a large value. On the other hand, when the time-out is reached in the main processing routine and the awakening process is performed in a state where the mental sweating amount Qs has not decreased to the low stress sweating amount Qsb2, the awakening completed sweating amount Qsb3 is set at the end of the main processing routine. Based on the determination sweating amount Qsj stored in the storage unit 35, the value is set as a value higher than the determination sweating amount Qsj by a predetermined second reference sweating increase amount ΔQsu2. Here, the second reference sweating increase amount ΔQsu2 is set to a value smaller than that of the first reference sweating increase amount ΔQsu1.

If it is determined in step S302 that the mental sweating amount Qs is equal to or less than the awakening completed sweating amount Qsb3, the process proceeds to step S303, and if it is determined that the mental sweating amount Qs exceeds the awakening completed sweating amount Qsb3. To step S305.

In step S303, the determination unit 38 acquires the elapsed time Tp2 from the start of the feedback process from the time measuring unit 39. Then, the determination unit 38 determines whether or not the acquired elapsed time Tp2 exceeds the predetermined second timeout time Tsh2. The second timeout time Tsh2 may be set as a fixed value (for example, about 30 seconds), or the setting may be changed by the user.

If it is determined in step S303 that the elapsed time Tp2 has not passed the second timeout time Tsh2, the process returns to the process of step S301, and the processes of steps S301 to S302 are repeated. On the other hand, if it is determined in step S303 that the elapsed time Tp2 exceeds the second timeout time Tsh2, the process proceeds to step S304.

In step S304, a time-out notification notifying the user that the time-out has occurred is notified. The time-out notification may be a vibration notification that vibrates the wooden housing 13 by driving the motor control unit 34, or may be a light emission notification by the light emission of the light emitting element 43 that is used in place of or in combination with the vibration notification. Then, when the process of step S304 is completed, the process proceeds to step S306.

In step S305, the user is notified of the completion. The completion notification is a notification for notifying the user that the user is in a state of being sufficiently awake while maintaining a low stress state. When the process of step S305 is completed, the process proceeds to step S306. Then, in step S306, the power switch unit 32 is switched from the on state to the off state, the feedback process is completed, and the power of the suction device 1 is turned off.

As described above, according to the aspirator 1 according to the present embodiment, the control unit 30 performs stress degree analysis control, and the stress of the user is stressed based on the mental sweat amount information regarding the mental sweat amount of the user. Since the degree is analyzed and the analysis result is notified to the user, the user can easily grasp whether or not the stress is sufficiently relieved by repeating the suction operation of the suction device 1.

Then, in the above-mentioned main processing routine, the user's mental sweating amount Qs is repeatedly measured (for example, every 100 ms) by the control unit 30 from the start of the main processing routine to the time-out, and the mental sweating amount is measured. It is possible to accurately determine whether or not Qs has decreased to the low stress sweating amount Qsb2 and the stress has been sufficiently relieved. Then, when it is confirmed that the mental sweating amount Qs has decreased to the low stress sweating amount Qsb2, the user is intentionally given a slight stimulus (stress) to execute an awakening process for raising the arousal level. Therefore, the user can be awakened to a state in which the user's consciousness is refreshed, not in a state in which the user's consciousness is vague. However, the awakening process is not essential in the stress degree analysis control in the present embodiment, and may be omitted as appropriate. For example, in step S206 of the main processing routine shown in FIG. 9, it was determined that the determination sweating amount Qsj (user's mental sweating amount Qs) stored in the storage unit 35 is less than the low stress sweating amount Qsb2. In this case, the process may proceed to step S208 without performing the awakening process, and the stress relief completion notification may be notified to the user. Further, even when a time-out occurs in step S209 of the main processing routine, the user may be notified of the time-out notification by proceeding to step S211 without performing the awakening process.

Further, in the awakening process in the present embodiment, the user is given a vibration stimulus by vibrating the wooden housing 13 by driving the vibration motor 41, but it is possible to give a minute stress to the user. If possible, other methods may be adopted. For example, the user may be stimulated and awakened by causing the light emitting element 43 to emit light. Further, the aspirator 1 may be provided with a voice output device that outputs voice, and in that case, the user may be awakened by applying a voice stimulus. The suction device 1 in the present embodiment does not have to include the light emitting element 43, and various notifications made by using the light emitting element 43 in the above-mentioned stress degree analysis control are performed by driving the vibration motor 41. It can be replaced by the vibration of the wooden housing 13.

Further, according to the aspirator 1 in the present embodiment, in the main processing routine related to the stress degree analysis control, the user measures the amount of mental sweating only during the aspiration operation of the aspirator 1. It is possible to reduce the influence of body movement artifacts, which is a change in the apparent amount of mental sweating due to body movement, and to accurately grasp the amount of mental sweating of the user. However, in the suction device 1 of the present embodiment, the mental sweating amount may be measured during the non-suction operation.

<Embodiment 2>
Next, the aspirator 1A according to the second embodiment will be described. FIG. 12 is a block diagram of the aspirator 1A according to the second embodiment. In the aspirator 1A according to the second embodiment, the same components as the aspirator 1 according to the first embodiment are designated by the same reference numerals, and detailed description thereof will be omitted. As shown in FIG. 12, the aspirator 1A includes a pressure sensor 44. The pressure-sensitive sensor 44 is provided in a state of being exposed to the wooden housing 13, and detects the pressure when the user grips the suction device 1 relatively strongly. The control unit 30A of the aspirator 1A has a pressure detection unit 31A that acquires an output signal of the pressure sensor 44. Further, the aspirator 1A is different from the aspirator 1 according to the first embodiment in that the atmospheric pressure sensor 40 is not provided, and the other configurations are the same as the aspirator 1 according to the first embodiment.

In the suction device 1A according to the present embodiment, when the control unit 30A executes the stress degree analysis control, the user detects the grip pressure for gripping the wooden housing 13 based on the output signal from the pressure sensor 44. If so, measure the amount of mental sweating of the user.

FIG. 13 is a flowchart showing a power-on processing routine according to the second embodiment. FIG. 14 is a flowchart showing the main processing routine according to the second embodiment. In the following, processing contents different from the power-on processing routine and the main processing routine described with reference to FIGS. 9 and 10 of the first embodiment will be mainly described.

[Power-on processing routine]
In the power-on processing routine shown in FIG. 13, the processing content of step S102 shown in FIG. 9 is omitted. That is, when the control unit 30A starts the power-on processing routine when the power switch unit 32 is switched from the off state to the on state, the initialization processing of the previous setting information stored in the storage unit 35 in step S101 is performed. Then, in the subsequent step S103, the sweating amount measuring unit 33 acquires the initial reference sweating amount Qsb. Then, in the following step S104, after notifying the user of the start notification notifying the start of the stress degree analysis control, the power-on processing routine is terminated and the main processing routine shown in FIG. 14 is started. When the power switch unit 32 is in the off state and the pressure detection unit 31A detects the grip pressure of the wooden housing 13 by the user based on the output data of the pressure sensor 44, the power switch unit 32 is turned on from the off state. Switch to the state.

[Main processing]
When the main processing routine is started, in step S401, the pressure detection unit 31A acquires the output data of the pressure sensor 44. Next, in step S402, the determination unit determines whether or not the user is holding the suction device 1 (wooden housing 13) based on the output data of the pressure sensor 44 acquired by the pressure detection unit 31A. To do. If it is determined in this step that the user is holding the wooden housing 13, the process proceeds to step S203. On the other hand, if it is determined that the user does not hold the wooden housing 13, the process proceeds to step S209. Each process of steps S203 to S211 is the same as the main process routine described with reference to FIG. In step S402, the mental sweating amount Qs is measured when the user detects that the wooden housing 13 is gripped, but the gripped state by the user is for a certain period of time or longer. The mental sweating amount Qs may be measured only after it is detected that the sweating continues. In this case, the determination unit 38 acquires the duration of the gripped state of the wooden housing 13 by the user from the time measuring unit 39, and when it is determined that the duration of the gripped state exceeds a predetermined threshold value, the sweating amount measuring unit. 33 may measure the amount of mental sweating Qs. In the aspirator 1A of the second embodiment, the feedback process executed after the end of the main process routine is the same as that described in the first embodiment.

<Modification example>
Next, a modified example will be described. FIG. 15 is a diagram illustrating a suction device 1B according to a modified example. As shown in FIG. 15, in the suction device 1B according to the modified example, the suction port receiver 12 in the mouthpiece unit 10 is provided with a liquid holding recess 123. The liquid holding recess 123 can be held by dropping a liquid fragrance such as aroma oil. According to this, the user can suck the aroma component emitted from the liquid fragrance held in the liquid holding recess 123 at the time of suction of the suction device 1B, and a further relaxing feeling can be imparted.

Further, the aspirator 1B houses a flavor source (for example, a fragrance, a tobacco source) that releases a flavor component in a wooden housing 13, and when the user sucks the aspirator 1B, the flavor source is generated. The flavor component emitted from the wooden housing 13 may be mixed with the air flowing through the ventilation path of the wooden housing 13 and supplied into the oral cavity through the mouthpiece 112. In that case, for example, the aspirator 1B heats a flavor source (for example, a flavor or a tobacco source) housed in a housing portion in the wooden housing 13 to promote the release of the flavor component from the flavor source. It may have a heater (not shown). In this case, for example, the control unit 30 of the suction device 1B may heat the flavor generation source with a heating heater and promote the release of the flavor component when the suction (puff) operation by the user is detected. By doing so, the flavor component emitted from the flavor generation source at the time of suction by the suction device 1B can be supplied together with the suction air, and the user can be further relaxed.

In the above embodiment, the atmospheric pressure acquisition unit 31, the pressure detection unit 31A, the power switch unit 32, the sweat amount measurement unit 33, the motor control unit 34, the setting unit 36, the light emission control unit 37, the determination unit 38, and the timekeeping unit 39. The process described as an operation can be performed by a computer. For example, each of the above processes is executed by a computer executing a program using hardware resources such as a processor (CPU), a memory, and an input / output circuit. Specifically, each process is executed by the processor outputting the data to be processed to a memory, an input / output circuit, or the like.

<Embodiment 3>
Next, the aspirator 1 according to the third embodiment will be described. FIG. 16 is a block diagram of the aspirator 1 according to the third embodiment. The hardware configuration of the aspirator 1 according to the third embodiment is the same as that of the aspirator 1 according to the first embodiment. In the following, the aspirator 1 in the third embodiment will be mainly described as being different from the aspirator 1 in the first embodiment, and the same elements will be designated by the same reference numerals, and detailed description thereof will be omitted. The suction device 1 in the third embodiment also includes a control unit 30 which is a control unit for controlling the suction device 1. The control unit 30 may be a microcomputer having, for example, a processor, a memory, or the like.

As shown in FIG. 16, the control unit 30 includes an atmospheric pressure acquisition unit 31, a power switch unit 32, a sweat amount measurement unit 33, a motor control unit 34, a setting unit 36, a light emission control unit 37, a determination unit 38, and a timekeeping unit 39. It has each functional unit such as a prediction unit 50, a processing unit 51, and the like. Further, the control unit 30 includes a storage unit 35 in which various programs for execution by the processor of the control unit 30 are stored. The storage unit 35 is, for example, a non-volatile memory, and may be a main storage device or an auxiliary storage device included in the control unit 30. Each of the above functional units is realized by operating the processor (CPU) included in the control unit 30 according to a predetermined program. That is, the control unit 30 executes each process in each of the above functional units by executing a program using hardware resources such as a processor (CPU), a memory, and an input / output circuit. Specifically, the processor executes each process in each functional unit by outputting the data to be processed to a memory, an input / output circuit, or the like.

Here, the storage unit 35 stores a sweating amount minimum value prediction model 351 and a sweating amount maximum value prediction model 352 used at the time of executing the main process of the stress degree analysis control executed by the control unit 30. The details of the sweat amount minimum value prediction model 351 and the sweating amount maximum value prediction model 352 will be described later.

In the main process of the stress degree analysis control according to the above-described first and second embodiments, the low stress sweating amount Qsb2, which is a determination threshold for determining whether or not the user is in a low stress state, is used as an initial reference. Since the value was set to be lower than the sweating amount Qsb by the first standard sweating reduction amount ΔQsd1, the degree of mental sweating and the fluctuation characteristics of mental sweating that fluctuate when receiving a mental stimulus such as stress are individual. If there is a large variation due to the difference, it is assumed that it will be difficult to appropriately determine the mental sweating state of the user due to the influence of the individual difference. Therefore, in the aspirator 1 according to the third embodiment, the determination threshold value used for estimating the mental sweating state of the user is set based on a new algorithm that is not easily affected by individual differences for each user. It is characterized by that. Hereinafter, the details of the stress degree analysis control in the aspirator 1 according to the third embodiment will be described. In the present embodiment, the aspirator 1 including the control unit 30 that executes the stress degree analysis control is an example of the sweating state determination device in the present invention.

Next, the stress degree analysis control in the aspirator 1 in the third embodiment will be described. In the stress degree analysis control in the present embodiment, the control unit 30 performs each process such as power-on process and main process as in the above-described embodiment.

FIG. 17 is a diagram illustrating a transition of the mental sweating amount Qs in the user when the aspirator 1 according to the third embodiment executes the stress degree analysis control. The horizontal axis of FIG. 17 indicates time, and the vertical axis indicates the amount of mental sweating Qs of the user. The period from time Ta to Tb is the power-on processing period (calibration period) ΔTk at which the power-on processing is executed.

Similar to the first embodiment, the power-on process is executed by the control unit 30 when the power switch unit 32 is switched from the off state to the on state. For example, when the power-on process is started by switching the power switch unit 32 from the off state to the on state at the time Ta shown in FIG. 17, the sweating amount measuring unit 33 of the control unit 30 extends the power-on processing period ΔTk. Then, the mental sweating amount Qs of the user is measured every predetermined sampling cycle (here, 500 ms, for example). The power-on processing period ΔTk is not particularly limited, but FIG. 17 shows a case where the power-on processing period ΔTk is set to 5 seconds. When the air pressure acquisition unit 31 detects the start of the first suction (puff) operation by the user when the power switch unit 32 is in the off state, the power switch unit 32 is in the off state. Switches from to the on state.

To measure the mental sweating amount Qs of the user, the sweating amount measuring unit 33 issues a command to the power supply 23, and the power supply 23 supplies power to the mental sweating amount measuring electrodes 26 and 27. The sweating amount measuring unit 33 applies a weak sweating amount measuring current to the skin of the user's finger holding the aspirator 1 from the mental sweating amount measuring electrodes 26 and 27, and causes the mental sweating amount measuring electrode 26, The amount of mental sweating of the user can be measured based on the output value corresponding to the skin conductance output from 27. At the time of the power-on process, the amount of mental sweating of the user acquired at each predetermined sampling cycle is stored in the storage unit 35. The sweating amount measuring unit 33 can measure the mental sweating amount of the user at each predetermined sampling cycle by acquiring the elapsed time from the start of the power-on process from the time measuring unit 39.

Here, the user's mental sweating amount Qs shown in FIG. 17 is an output value corresponding to the skin conductance output by the mental sweating amount measuring electrodes 26 and 27. The unit of mental sweating amount Qs shown in FIG. 17 is microsiemens [μS], which correlates with the reciprocal of electrical resistance. The output values [unit: μS] output by the electrodes 26 and 27 for measuring the amount of mental sweating, and the amount of sweat water generated per unit time per unit area of the skin [unit: mg / cm ² / min]. The relationship is a function, and the amount of sweating as the amount of water in the sweat can be uniquely obtained from the output values output by the electrodes 26 and 27 for measuring the amount of mental sweating. Therefore, in the present specification, the “user's mental sweating amount” refers to a substantially equivalent amount in both the case of being expressed ^{by [μS] and the case of being expressed by [mg / cm 2 / min].}

Here, at the time Tb when the power-on processing period ΔTk has elapsed from the start of the power-on processing, the control unit 30 ends the power-on processing. At that time, the control unit 30 accesses the storage unit 35, and sets the maximum value of the user's mental sweating amount Qs acquired during the power-on processing period ΔTk as the initial reference sweating amount Qs # max in the storage unit 35. Remember. Further, the control unit 30 is notified of the start of suction to urge the user to start sucking the suction device 1. For example, the motor control unit 34 of the control unit 30 supplies electric power to the vibration motor 41 from the power supply 23 to operate (drive) the vibration motor 41. By driving the vibration motor 41 to vibrate the wooden housing 13 and causing the user to detect the vibration, the suction start notification can be notified to the user. Further, instead of or in combination with the notification by the vibration of the wooden housing 13, the start notification may be given by the light emission of the light emitting element 43. In this case, the light emitting control unit 37 supplies electric power to the light emitting element 43 from the power source 23, and causes the light emitting element 43 to emit light in a predetermined light emitting pattern. In the power-on process, the control unit 30 is in a suction state in which the suction port 11 is sucked or a non-suction state in which the user is not sucking, at each predetermined sampling cycle. The amount of mental sweating Qs of the user is measured.

Here, the section between the times Tb and Tc shown in FIG. 17 is the prediction feature amount measurement period ΔTmp in which the control unit 30 executes the prediction feature amount measurement process. Further, at the time Tc, which is the end time of the prediction feature amount measurement period ΔTmp, the control unit 30 performs the min-max prediction process. Then, in the sweating amount determination period ΔTmj corresponding to the interval of time Tc to Td in FIG. 17, the control unit 30 puts the user in a low stress state when the mental sweating amount Qs of the user becomes less than the determination threshold value. Performs a sweating amount determination process to determine whether or not the condition has occurred. The details of the above-mentioned feature quantity measurement process for prediction, min-max prediction process, and sweating amount determination process will be described later, but the main process includes each of these processes.

In the present embodiment, the length of the predictive feature measurement period ΔTmp is not particularly limited, but the case where the predictive feature measurement period ΔTmp is set to 100 seconds will be described below as an example. Further, in the sweating amount determination process, the control unit 30 determines whether or not the user's mental sweating amount Qs is less than the determination threshold value every predetermined sampling cycle (here, 500 ms is exemplified). The unit 38 determines. Then, when it is confirmed that the mental sweating amount Qs of the user is less than the judgment threshold value, it is determined that the user is in a low stress state in which the sympathetic nervous system tension is relaxed, and the main process is terminated. To do.

Further, in the main process of the present embodiment, even if the user's mental sweating amount Qs is maintained above the determination threshold in the sweating amount determination process, the elapsed time T from the start of the main process (time Tb). _{When i} elapses a predetermined first time-out time, the main process (sweat amount determination process) is forcibly terminated as a time-out. The length of the first timeout time is not particularly limited, but the case of 180 seconds will be described below as an example. Here, assuming that the power-on processing period ΔTk is 5 seconds, the predictive feature amount measurement period ΔTmp is 100 seconds, and the first timeout time ΔTto is 185 seconds, the sweating amount determination period ΔTmj is 80 seconds at the maximum. In the present embodiment, the predictive feature measurement period ΔTmp is set as a period shorter than the first timeout time ΔTto. Further, the time Td at the time when the first time-out time ΔTto elapses (first time-out time) from the time Tb at which the main process (prediction feature amount measurement process) is started is the maximum (longest) time during which the main process is continued. Corresponding to the period, it is referred to as "main processing continuation maximum period ΔTmax" below.

In the present embodiment, the mental sweating amount of the user is continuously measured over the main processing continuation maximum period ΔTmax (corresponding to the “determination target period” in the present invention), and the measured mental sweating amount is used for determination. The mental sweating state of the user is determined based on the comparison result (magnitude relationship) with the threshold value.

Next, the control unit 30 starts the main process. FIG. 18 is a diagram showing the processing content of the main processing according to the third embodiment. Each process shown in FIG. 18 is realized by the processor of the control unit 30 executing various programs stored in the storage unit 35. The main process in the present embodiment includes a feature amount measurement process for prediction in step S30, a min-max prediction process in step S40, and a sweating amount determination process in step S50.

In the present embodiment, the main process including the feature amount measurement process for prediction, the min-max prediction process, and the sweating amount determination process is continuously measured over the main process continuation maximum period ΔTmax (determination target period). It corresponds to the sweating state determination control for determining the mental sweating state of the user based on the comparison result between the mental sweating amount in the person and the determination threshold.

First, in the predictive feature measurement process in step S30, the control unit 30 extends the predictive feature measurement period ΔTmp (100 seconds) described above at each predetermined sampling cycle (here, 500 ms is exemplified). , Measure the mental sweating amount Qs of the user. Regarding the measurement of the mental sweating amount Qs in the user, the sweating amount measuring unit 33 of the control unit 30 issues a command to the power supply 23 to the electrodes 26 and 27 for measuring the mental sweating amount, as in the case of the power-on process. This is performed by supplying power from the power source 23 and acquiring output values output from the mental sweating amount measuring electrodes 26 and 27. Perspiration amount measuring unit 33 by acquiring the elapsed time T _i from the start of the main processing (prediction feature quantity measurement process) from the clock unit 39, mental sweating of the user at each predetermined sampling period Can be measured.

In the predictive feature amount measurement process, the determination unit 38 determines whether or not the user is currently sucking the mouthpiece 11 for each sampling cycle (here, 500 ms is exemplified). Only when the determination unit 38 determines that the suction operation is in progress, the sweating amount measuring unit 33 measures the mental sweating amount Qs of the user. Here, the processing unit 51 is a functional unit that performs various processing on the measured value of the user's mental sweating amount Qs measured in the stress degree analysis control. At present, it is possible to determine whether or not the user is in the suction operation based on the detection result of the suction operation (puff operation) by the atmospheric pressure acquisition unit 31. Here, the processing unit 51 performs an arithmetic process of dividing the measured value of the user's mental sweating amount Qs measured by the sweating amount measuring unit 33 by the initial reference sweating amount G # max acquired at the time of the power-on processing. “Corrected sweating amount measurement value G” (G = Qs / G # max) is calculated, and the calculated corrected sweating amount measurement value G is used as the elapsed time _Ti (i = 0) from the start of the main processing. , 0.5, 1.0, ... 99.5), the sweating amount measurement data Dg is stored in the storage unit 35. Incidentally, the corrected amount of perspiration measurement _{G i (i = 0,0.5,1.0, ···} 99.5) when calculating the in order to smooth the time series data of the measured value of mental sweating amount Qs of the user , The measured value of mental sweating amount Qs is subjected to mobile averaging processing, and the corrected sweating amount measured value is calculated by dividing the mental sweating amount Qs after the moving averaging processing by the initial reference sweating amount G # max. You may ask for G.

Further, the above-mentioned subscript notation i indicates the elapsed time from the start of the main processing. As described above, in the description here, since the prediction feature amount measurement period ΔTmp is set to 100 seconds and the mental sweating amount measurement cycle is set to 500 ms, it is generated in the prediction feature amount measurement process. the amount of sweat measurement data Dg, the elapsed time from the main process starts _{T i (i = 0,0.5,1.0, ···} 99.5) 200 pieces of corrected perspiration measurements corresponding to _G i (i = 0, 0.5, 1.0, ... 99.5) are included. Further, each corrected sweating amount measurement value included in the sweating amount measurement data Dg is represented by an array as follows.
Dg = [G ₀ , G _0.5 , G _1.0 , ... G _99.5 ]
The value of the corrected amount of sweat measurements G ₀ in the main processing is started (when the predicted feature quantity measurement processing starts) is set to 1.

Further, when the determination unit 38 determines that the non-suction operation is in progress at each sampling of the feature amount measurement process for prediction, the sweating amount measuring unit 33 does not measure the mental sweating amount Qs of the user. In this case, the processing unit 51 stores the corrected sweating amount measurement value G at the time of the previous sampling as the corrected sweating amount measurement value G at the time of the current sampling in the sweating amount measurement data Dg. For example, when the non-suction operation is in _{progress at the elapsed time T 5.0} from the start of the main process _{, G 5.0} is stored in the sweating amount measurement data Dg as the same value as _{G 4.5} corresponding to the elapsed time T _4.5.

As described above, during the predictive feature amount measurement process, the user's mental sweating amount Qs is measured only in the suction operation state, so that the apparent mental sweating amount changes (noise) due to body movement. It is possible to reduce the body movement artifacts that are. As shown in FIG. 17, the mental sweating amount Qs of the user gradually decreases in the predictive feature amount measurement period ΔTmp in which the predictive feature amount measurement process of the main process is performed. This means that the user substantially repeats deep breathing as the suction operation of the suction device 1 is repeatedly performed by the user, leading to a decrease in the mental sweating amount Qs that reflects the degree of stress of the user. It depends on.

Here, when the prediction feature measurement period ΔTmp (100 seconds) ends, the control unit 30 ends the prediction feature measurement process and performs the min-max prediction process in step S40 of FIG. min-max prediction process, prediction unit 50 of the control unit 30, the corrected amount of perspiration measurements stored in the storage unit 35 in the prediction feature quantity measurement process _{G i (i = 0,0.5,1.0, ···} 99.5 ) and the elapsed time from the main process starts _{T i (i = 0,0.5,1.0, ···} 99.5) and perspiration measurement data Dg that is correlated, amount of perspiration minimum value stored in the storage unit 35 Based on the prediction model 351 and the maximum sweating amount prediction model 352, the minimum value at which the user's mental sweating amount is minimized and the mental sweating amount at the maximum during the main processing continuation maximum period ΔTmax (180 seconds) are maximized. This is a process for predicting the maximum value.

The sweat amount minimum value prediction model 351 and the sweating amount maximum value prediction model 352 will be described. The sweating amount minimum value prediction model 351 is a transition of the user's mental sweating amount that changes over time in the prediction feature amount measurement period ΔTmp (100 seconds), and the user in the main processing continuation maximum period ΔTmax (180 seconds). It is a predictive model showing the relationship with the minimum value of the amount of mental sweating. More specifically, the sweating amount minimum value prediction model 351 is a prediction feature obtained by having a plurality of (many) subjects use the aspirator 1 in advance and executing stress degree analysis control (main processing). Multiple (many) sweating amounts that are data that associates the transition of the measured value of the subject's mental sweating amount in the amount measurement period ΔTmp with the minimum value of the measured value of the subject's mental sweating amount in the main processing continuation maximum period ΔTmax. By machine learning using the minimum value learning data as teacher data, the transition of the user's mental sweating amount during the prediction feature measurement period ΔTmp and the minimum value of the user's mental sweating amount during the main processing continuation maximum period ΔTmax. It is a prediction model that has learned the relationship with.

In addition, the sweating amount maximum value prediction model 352 shows the transition of the user's mental sweating amount that changes over time in the prediction feature amount measurement period ΔTmp (100 seconds) and the main processing continuation maximum period ΔTmax (180 seconds). It is a predictive model showing the relationship with the maximum value of the user's mental sweating amount. More specifically, the sweat amount maximum value prediction model 352 is a prediction feature obtained by having a plurality of (many) subjects use the aspirator 1 in advance and executing stress degree analysis control (main processing). Data that associates the transition of the measured values of the mental sweating amount of multiple (many) subjects in the amount measurement period ΔTmp with the maximum value of the mental sweating amount of the multiple (many) subjects in the main processing continuation maximum period ΔTmax. By machine learning using a plurality of (many) maximum sweating amount learning data as teacher data, the transition of the mental sweating amount of the user in the predictive feature amount measurement period ΔTmp and the user in the main processing continuation maximum period ΔTmax. It is a predictive model that has learned the relationship with the maximum value of mental sweating.

In the present embodiment, the sweating amount minimum value prediction model 351 and the sweating amount maximum value prediction model 352 are constructed as linear models. As such a linear model, for example, LASSO or the like can be preferably used. However, the sweating amount minimum value prediction model 351 and the sweating amount maximum value prediction model 352 are not limited to LASSO, and a non-linear model may be used.

In the min-max prediction process, the prediction unit 50 measures the corrected sweat amount measurement value G, which is an example of the measurement value of the mental sweat amount in the user measured from the start of the main process to the prediction feature amount measurement period ΔTmp. _{Using i} (i = 0, 0.5, 1.0, ... 99.5) as a feature quantity and applying it to the sweat amount minimum value prediction model 351 and the sweating amount maximum value prediction model 352, respectively, in the main processing continuation maximum period ΔTmax. Predict the minimum value of the mental sweating amount of the person and the maximum value of the mental sweating amount of the user, respectively. Hereinafter, the minimum value of the user's mental sweating amount in the main processing continuation maximum period ΔTmax obtained by the prediction using the sweating amount minimum value prediction model 351 in this way is referred to as “minimum predicted value Gpmin”. Further, the maximum value of the user's mental sweating amount in the main processing continuation maximum period ΔTmax obtained by the prediction using the sweating amount maximum value prediction model 352 is referred to as “maximum predicted value Gpmax”.

The sweating amount minimum value prediction model 351 predicts the minimum predicted value Gpmin by the following equation (1).
Gpmin = a ₀ x G ₀ + a _0.5 x G _0.5 + a _1.0 x G _1.0 + ... + a _99.5 x G _99.5 (1) Equation Here, _ai (i = 0, 0.5, 1.0, ... 99.5) is a feature. the amount a is corrected perspiration measurement _{G i (i = 0,0.5,1.0, ···} 99.5) is a weight for.

The maximum sweating amount prediction model 352 predicts the maximum predicted value Gpmax by the following equation (2).
_{Gpmax = b 0 × G 0 +} b 0.5 × G 0.5 + b 1.0 × G 1.0 + ... + b 99.5 × G 99.5 (2) equation, _{where, b i (i = 0,0.5,1.0,} ··· 99.5) is characterized the amount a is corrected perspiration measurement _{G i (i = 0,0.5,1.0, ···} 99.5) is a weight for.

In this way, the minimum predicted value Gpmin and the maximum of the mental sweat amount in the main processing continuation maximum period ΔTmax predicted by the prediction unit 50 using the learned sweat amount minimum value prediction model 351 and the sweat amount maximum value prediction model 352. The predicted value Gpmax is stored in the storage unit 35. Then, after the completion of the min-max prediction process, the control unit 30 proceeds to step S50 in FIG. 18 to execute the sweating amount determination process.

In the present embodiment, as described above, the sweating amount determination process is performed as the time Td (at the maximum) when the first timeout period arrives after the time Tc when the predictive feature amount measurement period ΔTmp (100 seconds after the start of the main process) elapses. It is performed over a period from the start of the main process to 180 seconds later). That is, the sweating amount determination process is started 100 seconds after the start of the main process, and is performed until a maximum of 180 seconds have passed since the start of the main process.

Explaining the specific processing contents in the sweating amount determination processing, the sweating amount measuring unit 33 measures the mental sweating amount Qs of the user at a predetermined sampling cycle in the sweating amount determining process. Here, a case where the sampling cycle for measuring the mental sweating amount Qs of the user in the sweating amount determination process is set to 500 ms will be described as an example, but the sampling cycle is not particularly limited. Incidentally, the amount of perspiration measuring unit 33, by obtaining the elapsed time from the main process is started _{T i (i = 0,0.5,1.0, ···} 99.5) from the clock unit 39, a predetermined sampling period ( Here, the amount of mental sweating of the user can be measured every 500 ms).

In the sweating amount determination process, the measured value of the user's mental sweating amount Qs measured by the sweating amount measuring unit 33 is corrected by the processing unit 51. Specifically, the processing unit 51 calculates the corrected sweating amount measurement value G by performing a correction process of dividing the measured value of the mental sweating amount Qs by the initial reference sweating amount G # max acquired at the time of the power-on processing. .. Further, the processing unit 51 performs a scaling process on the calculated corrected sweating amount measurement value G using the minimum predicted value Gpmin and the maximum predicted value Gpmax stored in the storage unit 35.

Here, the processing unit 51 performs min-max scaling processing with the minimum predicted value Gpmin stored in the storage unit 35 as a predetermined first value and the maximum predicted value Gpmax as a second value. Here, the second value is set as a value larger than the first value. Here, a case where the first value is 0 and the second value is 1 will be described as an example.

Processing unit 51 when performing min-max scaling process, the following equation (3), the corrected amount of perspiration measurement _{G i (i = 100,100.5,101, ···} 180) by substituting, min-max scaled perspiration amount measurement value after scaling _{Gt i (i = 100,100.5,101, ···} 180) is calculated.
Gt _i = (G _i- Gpmin) / (Gpmax-Gpmin) Eq. (3)

When scaled perspiration amount processing unit 51 has calculated measured value Gt _i is compared with the determination threshold set by the setting unit 36, the scaled perspiration measurement Gt _i is less than the determination threshold, using It is judged that the person's condition has changed to a low stress state. Here, the setting unit 36 sets the determination threshold value in the range of the first value (minimum predicted value Gpmin) or more and the second value (maximum predicted value Gpmax) or less. As described above, in the present embodiment, the mentality of the user measured in the sweating amount determination period ΔTmj with the first value (minimum predicted value Gpmin) being 0 and the second value (maximum predicted value Gpmax) being 1. A scaling process is performed on the measured value of the sweating amount (specifically, the corrected sweating amount measurement value G). Therefore, the setting unit 36 sets the determination threshold value to a value of 0 or more and 1 or less.

In the amount of perspiration determination processing, determination unit 38, (in this example, 500 ms) prescribed sampling period in the amount of perspiration determination period ΔTmj a scaled amount of perspiration measurement Gt _i acquired for each, in each case, for determining compared with a threshold value, the scaled amount of perspiration measurement Gt _i is equal to or less than the determination threshold value. The scaled amount of perspiration measurement Gt _i is the control section 10 ends the main processing when it is confirmed that becomes less than the determination threshold, and notifies the user of the stress completion notification (notification).

On the other hand, the amount of perspiration determination process, when scaled perspiration measurement Gt _i even not be lowered until the determination threshold value, which has passed the first time-out period ΔTto the elapsed time from the start of the main processing is set in advance The control unit 30 forcibly terminates the main process as a timeout. Specifically, the determination unit 38 acquires the elapsed time from the start of the main process from the time measuring unit 39. Then, the determination unit 38 determines whether or not the acquired elapsed time exceeds the predetermined first timeout time ΔTto. Although the first timeout time ΔTto is a predetermined fixed time (180 seconds) in this control example, the length of the first timeout time ΔTto may be changed by the user.

In addition, the above-mentioned stress relieving completion notification is a notification for notifying the user that the tension of the sympathetic nervous system of the user has been relaxed and the stress has been sufficiently relieved. In the stress relief completion notification, as in the first embodiment, the light emitting control unit 37 controls the light emitting element 43 to supply electric power from the power supply 23, and causes the light emitting element 43 to emit light in a predetermined light emitting pattern, thereby causing the user to emit light. You may notify to.

Here, FIG. 19 is a flowchart showing the processing content of the sweating amount determination processing in the main processing according to the third embodiment. In step S501 shown in FIG. 19, the sweating amount measuring unit 33 currently determines whether or not it is the measurement timing for measuring the mental sweating amount Qs of the user. The sweating amount measuring unit 33 measures the mental sweating amount of the user at a predetermined sampling cycle by acquiring the elapsed time from the start of the main process (predictive feature amount measuring process) from the time measuring unit 39. can do. In step S501, if it is determined that the measurement timing is reached, the process proceeds to step S502, and if it is determined that the measurement timing is not reached, the process returns to step S501.

In step S502, the determination unit 38 determines whether or not the user is currently in the suction operation based on the detection result of the suction operation (puff operation) by the atmospheric pressure acquisition unit 31. In this step, if it is determined that the user is currently in the suction operation, the process proceeds to step S503, and if it is determined that the user is not in the suction operation, the process returns to step S501.

In step S503, the sweating amount measuring unit 33 measures the mental sweating amount Qs of the user. Next, in step S504, the processing unit 51 divides the measured value of the user's mental sweating amount Qs measured by the sweating amount measuring unit 33 by the initial reference sweating amount G # max to correct the sweating amount measured value G. Is calculated. Here, when calculating the corrected sweating amount measurement value G, in order to smooth the time series data of the measurement value of the mental sweating amount Qs of the user, a moving average with respect to the measured value of the mental sweating amount Qs. The corrected sweating amount measurement value G may be obtained by performing an arithmetic process of performing the treatment and dividing the mental sweating amount Qs after the moving average treatment by the initial reference sweating amount G # max.

Next, in step S505, the processing unit 51 sets the minimum predicted value Gpmin stored in the storage unit 35 as a predetermined first value, and sets the maximum predicted value Gpmax as the second value, and corrects the sweating amount measurement value G. Is subjected to min-max scaling processing, and the scaled sweating amount measurement value Gt is calculated. The scaled sweating amount measurement value Gt can be calculated based on the above equation (3).

Next, in step S506, the determination unit 38 determines whether or not the scaled sweating amount measurement value Gt is less than the determination threshold value. If it is determined in step S506 that the scaled sweating amount measurement value Gt is less than the determination threshold value, the process proceeds to step S507, and if it is determined that the scaled sweating amount measurement value Gt is equal to or greater than the determination threshold value, the process proceeds to step S507. , Step S509.

In step S507, the light emission control unit 37 notifies (notifies) the user of the stress relief completion notification. For example, the light emitting control unit 37 controls the light emitting element 43 to supply electric power from the power source 23, and notifies the user of the stress relief completion notification by causing the light emitting element 43 to emit light in a predetermined light emitting pattern. When the process of step S507 is completed, the process proceeds to step S508.

In step S508, the motor control unit 34 supplies electric power to the vibration motor 41 from the power supply 23 to operate (drive) the vibration motor 41 to execute the awakening process. The awakening process is a process of raising the awakening level of the user by applying a vibration stimulus (minute stress) of the wooden housing 13 caused by driving the vibration motor 41 to the user. By executing the awakening process that raises the awakening level, the user can be awakened not in a state where the user's consciousness is vague but in a state where the consciousness is refreshed.

The drive pattern of the vibration motor 41 in the awakening process and its duration are not particularly limited. For example, in the awakening process, the vibration motor 41 may be driven intermittently. For example, the vibration time for driving the vibration motor 41 and the pause time for stopping the drive may be repeated for a plurality of cycles. In that case, the vibration time and the pause time of the vibration motor 41 may be changed for each cycle. For example, the vibration time and the pause time of the vibration motor 41 in the first cycle of the awakening process may be set to 200 ms, respectively, and the vibration time and the pause time may be shortened by 20 ms in the second and subsequent cycles. In the awakening process, the awakening process is completed when a predetermined number of cycles are completed or when a certain time has elapsed from the start of the awakening process, and the control routine shown in FIG. 19 ends. In this embodiment as well, as in the first embodiment, the awakening level of the user may be increased by using a method other than the stimulation by vibration in the awakening process. For example, the user may be awakened by causing the light emitting element 43 to emit light.

Further, the awakening process may also have an alert function for the remaining battery level by setting a different pattern according to the remaining amount of the battery 230. For example, in the awakening process when the remaining amount of the battery 230 is sufficient, the vibration motor 41 is lit in a predetermined first color (for example, blue) while the vibration motor 41 is lit in a predetermined vibration pattern (for example, "200 ms vibration + 200 ms"). After operating for several cycles (for example, 4 cycles) in "pause", the light emitting element 43 may be turned off at the same time as the operation of the vibration motor 41 is terminated. Further, in the awakening process in a state where the remaining battery 230 is low. After operating the vibration motor 41 in a predetermined vibration pattern (for example, "200 ms vibration + 200 ms pause") for several cycles (for example, 5 cycles) while lighting the light emitting element 43 in a predetermined second color (for example, red). The light emitting element 43 may be turned off at the same time as the operation of the vibration motor 41 is terminated. Further, the above pattern is an example and may be changed as appropriate.

Further, in step S506 of the sweating amount determination process, when it is determined that the scaled sweating amount measurement value Gt is equal to or higher than the determination threshold value and the process proceeds to step S509, the determination unit 38 starts the main process. determines whether the elapsed predetermined first time-out period ΔTto the elapsed time T _i is predetermined from (time Tb shown in FIG. 17). In this control example, the first timeout time ΔTto is set to 180 seconds, but the user may be able to change the setting of the first timeout time ΔTto. Determination unit 38 can acquire the elapsed time T _i from the start of the main processing from the clock unit 39.

In step S509, the case where the elapsed time _{T i} from the start of the main process is determined not to be passed first timeout DerutaTto, the process returns to step S501, the process of step S501~S506 are repeated. Further, in step S509, the process proceeds to step S510 if the elapsed time T _i from the start of the main process is judged to have passed the first timeout period DerutaTto, timeouts to communicate the fact that timed out user Notify the notification. For example, the light emission control unit 37 may cause the light emitting element 43 to emit light in a predetermined light emission pattern to notify the timeout. When the execution of the timeout notification is completed, the control routine shown in FIG. 19 is terminated.

As described above, according to the main process (sweat state determination control) in the stress degree analysis control in the present embodiment, the measurement was performed in the predictive feature quantity measurement period ΔTmp set as a period shorter than the main process continuation maximum period ΔTmax. The minimum amount of mental sweating of the user that will change every moment in the future based on the time course of the amount of mental sweating of the user and the model 351 for predicting the minimum value of sweating and the model 352 for predicting the maximum amount of sweating. You can predict the value and the maximum value. Then, using the minimum and maximum values of the user's mental sweating amount predicted based on the above prediction model, the user's mental sweating measured in the sweating amount determination period ΔTmj after the prediction feature amount measurement period ΔTmp. By scaling the measured value of the amount, even if the fluctuation characteristic of the mental sweating amount varies greatly from user to user, the fluctuation range of the scaled sweating amount measured value Gt acquired in the sweating amount determination period ΔTmj is to some extent. It can be kept small in the range. According to the main process (sweat state determination control) of the stress degree analysis control in the present embodiment, the sweat amount determination process can be performed by adopting the algorithm for reducing the individual difference regarding the fluctuation characteristic of the mental sweat amount as described above. Even when the judgment threshold to be used is set to a fixed value, the percentage of cases where the timeout notification is notified becomes excessively high, or conversely, the stress relief completion notification is notified immediately after the sweating amount judgment process is started. It is possible to suppress an excessively high proportion of cases, and it is possible to realize an aspirator 1 having excellent usability.

FIG. 20 is a diagram showing a time transition of a scaled sweat amount measured value Gt when stress degree analysis control is performed on a plurality of users (subjects) who use the aspirator 1. FIG. 21 is a diagram showing a time transition of the corrected sweat amount measurement value G when stress degree analysis control is performed on a plurality of users (subjects) who use the aspirator 1 for comparison. The corrected sweating amount measurement value G in FIG. 21 is a value obtained by dividing the measured value of the mental sweating amount in the user by the initial reference sweating amount G # max, and is the sweating amount minimum value prediction model 351 and the sweating amount maximum value prediction. No scaling process was performed using the minimum and maximum values of the mental sweating amount predicted based on the model 352. The scaled sweating amount measurement value Gt shown in FIG. 20 and the corrected sweating amount measurement value G shown in FIG. 21 are calculated based on the measurement values of the mental sweating amount measured from the same plurality of subjects (11 persons). It was done.

As is clear from the comparison of FIGS. 20 and 21, the transition of the corrected sweat amount measurement value G obtained by dividing the measurement value of the mental sweat amount by the initial reference sweat amount G # max is started as the main process. There is a relatively large variation depending on the subject (individual difference) when the elapsed time from the time is the same time (see FIG. 21). On the other hand, in the scaled sweat amount measurement value Gt shown in FIG. 20, the variation due to each subject (individual difference) when the elapsed time from the start of the main process is the same time is the corrected sweat amount measurement shown in FIG. It can be seen that it is smaller than the value G.

Since the corrected sweating amount measurement value G in FIG. 21 has a large variation due to individual differences as compared with the case of evaluating with the scaled sweating amount measurement value Gt, the judgment threshold used for the sweating amount judgment processing is set to a fixed value. If this happens, the majority of subjects tend to time out, or conversely, it tends to be easily determined to be in a low stress state immediately after starting the sweating amount determination process while the number of suctions is small. For example, if the judgment threshold related to the sweating amount determination process is set to about 0.6 using the corrected sweating amount measurement value G in FIG. 21, many subjects will time out, and conversely, the judgment threshold will be set to 0. When it is raised to about 9, many subjects have low stress immediately after starting the sweating amount determination process, although the mental sweating amount is actually reduced by only 10% from the initial standard sweating amount G # max. It tends to be easily judged as a state.

On the other hand, when the sweating amount determination process is performed using the scaled sweating amount measurement value Gt shown in FIG. 20, for example, when the determination threshold used for the sweating amount determination process is set to about 0.2, the majority The subject is sufficient because the time-out does not occur in the subject and the scaled sweat amount measurement value Gt does not fall below the judgment threshold (here, 0.2) immediately after entering the sweating amount determination period ΔTmj. The stress relieving completion notification will be notified in a state where the stress is actually relieved through the suction operation. That is, according to the stress degree analysis control in the present embodiment, even if the fluctuation characteristics of the mental sweating amount vary from user to user, the majority of users do not time out and the stress is actually eliminated. It can be seen that the stress relief completion notification can be notified to the user in the state, and the usability is very excellent.

The control unit 30 of the aspirator 1 in the third embodiment is stored (stored) in the storage unit 35 based on the measured value of the mental sweating amount of the user measured by the control unit 30 during the stress degree analysis control. It may have a learning processing unit that updates the sweating amount minimum value prediction model 351 and the sweating amount maximum value prediction model 352. That is, the learning processing unit changes the measured value of the user's mental sweating amount in the predictive feature amount measurement period ΔTmp obtained when the user uses the aspirator 1, and the main processing continuation maximum period ΔTmax. Minimum value of sweating amount associated with the minimum value of the measured value of the amount of mental sweating of the user in By learning (training) the relationship between the transition of the data and the minimum value of the user's mental sweating amount in the main processing continuation maximum period ΔTmax _{, the coefficient of the weight ai} in Eq. (1) is corrected and the sweating amount is minimized. The value prediction model 351 may be updated.

Similarly, the learning processing unit changes the measured value of the user's mental sweating amount in the predictive feature amount measurement period ΔTmp obtained when the user uses the aspirator 1, and the main processing continuation maximum period. Maximum sweating amount associated with the maximum measured value of the user's mental sweating amount at ΔTmax Machine learning using the learning data as teacher data enables the user's mental sweating during the predictive feature amount measurement period ΔTmp. by learning the relationship between the maximum value of mental sweating of the user in the amount of transition and main processing continues up period .DELTA.Tmax (training), modifies the coefficients of the weight b _i in equation (2), the amount of perspiration The maximum value prediction model 352 may be updated.

Further, the sweating amount minimum value prediction model 351 and the sweating amount maximum value prediction model 352 stored in the storage unit 35 do not necessarily have to be prediction models constructed (generated) by machine learning, and are based on other methods. It may be a prediction model constructed in the above.

Further, in the main process (sweating state determination control) of the stress degree analysis control in the third embodiment, the measured value of the user's mental sweating amount measured in the sweating amount determination period ΔTmj (specifically, the corrected sweating amount). With respect to the measured value G), the minimum predicted value Gpmin predicted by the prediction unit 50 is set to the first value (“0” in the above example), and the maximum predicted value Gpmax predicted by the prediction unit 50 is set to the second value. Since the min-max scaling process is performed as a value (“1” in the above example), the judgment threshold is set within the range of the first value or more and the second value or less. However, it is not limited to this.

For example, when the min-max scaling process is not performed on the measured value of the user's mental sweating amount measured in the sweating amount determination period ΔTmj, the setting unit 36 sets the maximum predicted value Gpmin or more predicted by the predicting unit 50. The determination threshold may be set in the range of the predicted value Gpmax or less. In this case, the unit of the mental sweating amount and the determination threshold value is not particularly limited. For example, when the minimum predicted value Gpmin predicted by the prediction unit 50 is 0.6 [μS] and the predicted maximum predicted value Gpmax is 2.5 [μS], it is used for determination applied to the sweating amount determination process. The threshold value may be set within the range of 0.6 [μS] or more and 2.5 [μS] or less. For example, the determination threshold value may be set to the average value of the minimum predicted value Gpmin and the maximum predicted value Gpmax. According to the main process (sweat state determination control) of the stress degree analysis control in the present embodiment, the determination threshold value is set in the range of the minimum predicted value Gpmin or more and the maximum predicted value Gpmax or less predicted by the prediction unit 50. , The judgment threshold value can be set to an appropriate value without being greatly affected by the variation in the fluctuation characteristics of the mental sweating amount depending on the user.

As described above, in the main process (sweating state determination control) in the present embodiment, the fluctuation range (minimum predicted value) of the user's mental sweating amount within the entire period of the main process continuation maximum period ΔTmax (determination target period). Gpmin to the maximum predicted value Gpmax) can be predicted by the prediction unit 50 executing the min-max prediction process before the sweating amount determination process is started. That is, the prediction feature amount based on the user's mental sweating amount continuously measured in the prediction feature amount measurement period ΔTmp shorter than the main processing continuation maximum period ΔTmax (judgment target period) and each prediction model 351 and 352. It is possible to preferably predict the future fluctuation range of the amount of mental sweating after the amount measurement period ΔTmp. Therefore, the determination threshold value for determining the mental sweating state of the user can be set to an appropriate size.

Further, according to the main process (sweat state determination control) of the stress degree analysis control according to the present embodiment, the min-max scaling process is performed on the measured value of the user's mental sweat amount measured in the sweat amount determination period ΔTmj. Therefore, it is possible to further reduce the influence of variations in the fluctuation characteristics of the amount of mental sweating depending on the user, and it is possible to provide the aspirator 1 having excellent usability.

In the sweating amount determination process of the stress degree analysis control according to the present embodiment, when the min-max scaling process is performed, the minimum predicted value Gpmin predicted by the prediction unit 50 is set to 0 as an example of the first value. Although the case where the maximum predicted value Gpmax is set to 1 as an example of the second value has been described, the combination of the first value and the second value is not limited to a specific value.

Further, in the third embodiment, the mental sweating amount of the user is continuously measured over a predetermined determination target period based on the output value of the sweating amount measuring electrode, and the measured mental sweating amount is used for determination. An application example in which the sweating state determination device according to the present invention equipped with a control unit for executing the sweating state determination control for determining the mental sweating state of the user based on the comparison result with the threshold value is mounted on the aspirator 1 has been described. However, the application target of the sweating state determination device according to the present invention is not limited to the aspirator 1. For example, a sweating state determination device having a control unit 30 that executes the main process (sweat state determination control) in the present embodiment may be applied to a health appliance or a lie detector. Hereinafter, a modified example in which the sweating state determination device according to the third embodiment is applied to a device other than the suction device will be described.

<Modification 1 of Embodiment 3>
In the first modification, the case where the sweating state determination device described in the third embodiment is applied to a massage machine which is an example of a health appliance will be described. The configuration common to the above-described embodiments will be designated by the same reference numerals, and detailed description thereof will be omitted.

FIG. 22 is a diagram showing a massage machine 50 according to a modification 1 of the third embodiment. The massage machine has a back massage unit 51, a seat portion 52, a leg support portion 53 provided in front of the seat portion 52, a backrest 54 erected from the rear of the seat portion 52, and the like. The back massage unit 51 is provided on the backrest 54, and a known structure can be adopted. For example, the back massage unit 51 has a treatment child 510 that massages the shoulders, back, and hips of the user, and is arranged so as to be able to move up and down along the backrest 54.

The armrest 55 of the massage machine 50 has a storage pocket 56, and the remote controller 60 is stored in the storage pocket 56. The storage pocket 56 is fastened to the armrest 55 by a belt 57 or the like.

FIG. 23 is a schematic view of a remote controller 60 that also serves as a sweating state determination device according to the first modification of the third embodiment. Reference numeral 61 is a housing of the remote controller 60. Reference numeral 62 shown in FIG. 23 is an operation button, and reference numeral 63 is a liquid crystal display 63. When the operation button 62 receives an operation by the user, the back massage unit 51 is operated, and the stress degree analysis control described in the third embodiment is performed. Further, as shown in FIG. 23, the electrodes 26 and 27 for measuring the amount of mental sweating are arranged in the housing 61 of the remote controller 60 in a state of being exposed to the outside. In the example shown in FIG. 23, the mental sweating amount measuring electrode 26 is arranged on the upper side surface of the housing 61, and the mental sweating amount measuring electrode 27 is arranged on the front surface of the housing 61. Further, the housing 61 houses an electronic substrate 21, a battery, and the like similar to those in the third embodiment.

FIG. 24 is a block diagram of the remote controller 60 according to the first modification of the third embodiment. A control unit 30 which is a control unit for controlling the remote controller 60 is mounted on the electronic board 21 of the remote controller 60. The electronic board 21 of the remote controller 60 has the same function as the electronic board 21 according to the third embodiment shown in FIG. As shown in FIG. 24, the remote controller 60 has a power supply 23, a vibration motor 41, a light emitting element 43, and the like (not shown in FIG. 23), as in the third embodiment.

The massage machine 50 according to this modification allows the user who uses the massage machine 50 to measure the physiological amount while holding the remote controller 60, and when performing the physiological amount measurement. In addition, the control unit 30 executes the stress degree analysis control described in the third embodiment. In addition to measuring the amount of mental sweating of the user, the remote controller 60 may measure the amount of other living organisms of the user. For example, a thermistor for measuring the skin temperature of the user, an electrode for measuring the electrocardiogram, and the like are arranged in the housing 61 of the remote controller 60 so as to be exposed to the outside, and the skin temperature and the average of the user are arranged. The heart rate and the like may be measured.

FIG. 25 is a diagram showing a state in which the user holds the remote controller 60 according to the first modification with both hands. In the example shown in FIG. 25, the user grips the remote controller 60 with the index finger of the left hand touching the electrode 26 for measuring the amount of mental sweating and the thumb touching the electrode 27 measuring the amount of mental sweating. There is. However, when the positions where the mental sweating amount measuring electrodes 26 and 27 are arranged are appropriately changed and the user grips the remote controller 60, the mental sweating amount measuring electrode is attached to a finger different from the above example. 26 and 27 may be touched.

The remote controller 60 according to the first modification functions as a sweating state determination device that executes the stress degree analysis control described in the third embodiment. The content of the stress degree analysis control is basically the same as that described in the third embodiment, and includes a power-on process and a main process. For example, the control unit 30 of the remote controller 60 starts the power-on process of the stress degree analysis control when the operation of the operation button 62 by the user is accepted. Then, when the power-on process is completed, the control unit 30 starts executing the main process. In the main process, the control unit 30 sequentially performs the feature amount measurement process for prediction, the min-max prediction process, and the sweating amount determination process as described with reference to FIG.

Since the remote controller 60 in the first modification does not have the suction port 11 unlike the suction device 1 as shown in FIG. 1, it is determined in the main process whether or not the user is in the suction state. Not performed. That is, in the predictive feature amount measurement process of the main process, the user's mental sweating amount Qs is measured at a predetermined sampling cycle, and the measured value is divided by the initial reference sweating amount G # max acquired at the time of the power-on process. "Corrected sweating amount measurement value G" (G = Qs / G # max) is calculated by performing arithmetic processing. Then, the calculated sweating amount measurement value G is stored in the storage unit 35 in the sweating amount measurement data Dg associated with the elapsed time Ti from the start of the main processing. Of course, as described in the third embodiment, in order to smooth the time-series data of the measured value of the mental sweating amount Qs of the user, the measured value of the mental sweating amount Qs is subjected to the moving averaging process. The corrected sweating amount measurement value G may be obtained by performing an arithmetic process of dividing the mental sweating amount Qs after the moving average processing by the initial reference sweating amount G # max.

The min-max prediction process is as described in the third embodiment, and the transition of the corrected sweat amount measurement value G acquired in the prediction feature amount measurement process, the sweat amount minimum value prediction model 351 and the sweat amount maximum value. Based on the prediction model 352, the minimum predicted value Gpmin that minimizes the amount of mental sweating of the user and the maximum predicted value Gpmax that maximizes the amount of mental sweating of the user are estimated (predicted) in the main processing continuation maximum period ΔTmax.

The sweating amount determination process executed after the min-max prediction process is also as described in the third embodiment, and the scaled sweating amount measurement value Gti acquired at each predetermined sampling cycle in the sweating amount determination period ΔTmj is obtained. Each time, it is compared with the judgment threshold, and it is determined whether or not the scaled sweating amount measurement value Gti is less than the judgment threshold. Then, when it is confirmed that the scaled sweat amount measurement value Gti is less than the judgment threshold value, the main process is terminated, and the stress relief completion notification is notified (notified) to the user, and the above-mentioned awakening process is performed. Do. The awakening process does not necessarily have to be executed and may be omitted.

On the other hand, in the sweating amount determination process, if the scaled sweating amount measurement value Gti times out even if it has not decreased to the determination threshold value, the control unit 30 forcibly terminates the main process. Even in the sweating amount determination process, since the remote controller 60 in this modified example does not have a mouthpiece, min-max scaling is performed with respect to the user's mental sweating amount measured at each predetermined sampling cycle. By comparing the scaled sweating amount measurement value Gti obtained by performing the treatment with the determination threshold value, it is determined whether or not the user is in a sufficiently relaxed state.

The remote controller 60 in this modification can continuously measure the amount of mental sweating of the user while using the massage machine 50, and can appropriately determine the sweating state of the user. It is considered that the user who uses the massage machine 50 gradually relaxes by being massaged by the back massage unit 51, so that the amount of mental sweating also gradually decreases with time. By applying the sweating state determination device of the present invention to such a health device, the stress degree (relaxation degree) of the user can be suitably determined.

<Modification 2 of Embodiment 3>
Next, a modification 2 of the third embodiment will be described. The application example of the sweating state determination device in the present invention is not limited to the massage machine 50 described in the first modification, and may be applied to a portable inspection terminal (so-called wearable inspection terminal) as shown in FIGS. 26 and 27. .. The portable inspection terminal 70 shown in FIG. 26 is, for example, a glove-type wearable inspection terminal worn on the user's hand, and corresponds to the sweating state determination device according to the present invention. The portable inspection terminal 70 shown in FIGS. 26 and 27 is designed to be worn on the right hand of the user. FIG. 26 shows the upper surface 70a that mainly covers the back of the hand of the user who wears the portable inspection terminal 70. FIG. 27 shows a lower surface 70b that mainly covers the palm side of the portable inspection terminal 70. Here, reference numerals 711 to 715 are a thumb palm covering portion, an index finger covering portion, a middle finger covering portion, a ring finger covering portion, and a little finger covering portion that cover each finger of the user.

The portable inspection terminal 70 in this modified example includes electrodes 26 and 27 for measuring the amount of mental sweating. As shown in FIGS. 26 and 27, in this modification, the electrode for measuring the amount of mental sweating is arranged on the index finger covering portion 712 of the portable inspection terminal 70, and the electrode for measuring the amount of mental sweating is arranged on the ring finger covering portion 714. 27 are arranged. FIG. 28 is a schematic view showing the internal structures of the index finger covering portion 712 and the ring finger covering portion 714 in the portable inspection terminal 70. Reference numeral 70c shown in FIG. 28 indicates an accommodating portion which is a space for accommodating a hand when the user wears the portable inspection terminal 70. Reference numeral 712a shown in FIG. 28 is an index finger pad covering surface that covers the pad of the index finger in the user who wears the portable inspection terminal 70. Reference numeral 714a is a ring finger pad covering surface that covers the ring finger pad in the user who wears the portable inspection terminal 70. The electrode 26 for measuring the amount of mental sweating is arranged on the index finger pad covering surface 712a so as to face the inside of the accommodating portion 70c in the index finger covering portion 712, and when the user wears the portable inspection terminal 70, the user's electrode 26 The pad of the index finger comes into contact with the electrode 26 for measuring the amount of mental sweating. Further, the electrode 27 for measuring the amount of mental sweating is arranged on the ring finger pad covering surface 714a so as to face the inside of the accommodating portion 70c of the ring finger covering portion 714, and is used when the user wears the portable inspection terminal 70. The pad of the ring finger of the person comes into contact with the electrode 27 for measuring the amount of mental sweating. However, the electrodes 26 and 27 for measuring the amount of mental sweating may be arranged on a finger covering portion different from the above example. Further, even if the electrodes 26 and 27 for measuring the amount of mental sweating are arranged at positions in contact with the palm of the user who wears the portable inspection terminal 70 instead of the finger covering portions 711 to 715 of the portable inspection terminal 70. good. Further, as shown in FIG. 26, a controller box 72 for accommodating an electronic board 21 or the like having a control unit 30 is installed on the upper surface 70a of the portable inspection terminal 70. An operation button 73 for operating the portable inspection terminal 70, a light emitting element 43, and the like are arranged in the controller box 72.

FIG. 29 is a block diagram of the portable inspection terminal 70 according to the second modification of the third embodiment. The configuration common to the above-described embodiments will be designated by the same reference numerals, and detailed description thereof will be omitted. The portable inspection terminal 70 according to the second modification functions as a sweating state determination device in the present invention, and the control unit 30 executes stress degree analysis control as in the first modification.

When the portable inspection terminal 70 receives an operation on the operation button 73 by the user (wearer), the control unit 30 may start the power-on process of the stress degree analysis control. In addition, the stress degree analysis control executed by the control unit 30 is the same as that of the first modification, and therefore detailed description thereof will be omitted. According to the portable inspection terminal 70 in this modified example, the amount of mental sweating of the user can be continuously measured, and the degree of relaxation or tension of the user can be suitably determined. ..

The portable inspection terminal 70 may be provided with various sensors for measuring the biological amount of the user. For example, the portable inspection terminal 70 may include a pulse sensor, a skin temperature sensor, a pressure sensor, and the like. Then, the pulse (heart rate) of the user may be measured by the pulse sensor, the skin temperature (body temperature) of the user may be measured by the skin temperature sensor, and the blood pressure of the user may be measured by the pressure sensor. Further, the portable inspection terminal 70 may be provided with a wireless communication unit for transmitting biological information regarding the biometric amount of the user to an external device (for example, another terminal device).

Further, the program for executing each of the above processes may be recorded on a computer-readable recording medium. With respect to the recording medium on which the program is recorded, the above-mentioned processing can be performed by causing a computer to read and execute the program of the recording medium.

Here, the computer-readable recording medium means a recording medium that can store information such as data and programs by electrical, magnetic, optical, mechanical, or chemical action and can be read from a computer. Among such recording media, those that can be removed from the computer include flexible disks, magneto-optical disks, optical disks, magnetic tapes, memory cards, and the like. Further, examples of the recording medium fixed to the computer include a hard disk drive and a ROM.

Further, a chip composed of a memory for storing a program for executing each process performed by the aspirator according to the above-described embodiment and a processor for executing the program stored in the memory may be provided.

Although the present invention has been described above with reference to the above-described embodiments and modifications, the present invention is not limited to the above-described embodiments, and various alternative embodiments can be adopted. For example, the suction device may include a hard switch such as a push button capable of accepting a user's operation for switching the power switch unit 32 on and off. In addition, the above-described embodiments and modifications can be combined as appropriate.

1 ... Aspirator 10 ... Mouthpiece unit 11 ... Mouthpiece 12 ... Mouthpiece receiver 13 ... Wooden housing 20 ... Control unit 21 ... Electronic board 23 ... Power supply 24 ... Fixed units 26, 27 ... Electrodes for measuring mental sweating amount 30 ... Control unit 31 ... Pressure acquisition unit 32 ... Power switch unit 33 ... Sweat amount measuring unit 34 ...・ Motor control unit 35 ・ ・ ・ Storage unit 36 ・ ・ ・ Setting unit 37 ・ ・ ・ Light emission control unit 38 ・ ・ ・ Judgment unit 39 ・ ・ ・ Timekeeping unit 40 ・ ・ ・ Pressure sensor 41 ・ ・ ・ Vibration motor 43 ・ ・・ Light emitting element

Claims (12)

Electrodes for measuring the amount of sweating for measuring the amount of mental sweating of the user,
The user's mental sweating amount is continuously measured over a predetermined determination target period based on the output value of the sweating amount measuring electrode, and based on the comparison result between the measured mental sweating amount and the determination threshold value. A control unit that executes sweating state determination control to determine the user's mental sweating state,
With
The control unit
Relationship between the transition of the user's mental sweating amount that changes over time in a predetermined predictive feature amount measurement period shorter than the determination target period and the minimum value of the user's mental sweating amount in the determination target period. A model for predicting the minimum sweating amount that represents sex, a transition of the user's mental sweating amount that changes over time during the prediction feature amount measurement period, and a maximum value of the user's mental sweating amount during the determination target period. A storage unit that stores the maximum sweating amount prediction model that expresses the relevance of
The determination is made by applying the measured value of the mental sweating amount of the user measured during the prediction feature amount measurement period to the sweating amount minimum value prediction model and the sweating amount maximum value prediction model, respectively, as the feature amount. A prediction unit that predicts the minimum and maximum values of the user's mental sweating during the target period, respectively.
The determination threshold value is equal to or greater than the minimum predicted value which is the minimum value of the user's mental sweating amount in the determination target period predicted by the prediction unit, and the mental sweating amount of the user in the determination target period. A setting unit that sets within the range below the maximum predicted value, which is the maximum value,
Have,
Sweating state judgment device. The sweating amount minimum value prediction model is a transition of the measured value of the user's mental sweating amount in the prediction feature amount measurement period when the sweating state determination control is executed in advance, and the user's spirit in the determination target period. By machine learning using a plurality of sweating amount minimum value learning data associated with the minimum value of the measured value of the sexual sweating amount as teacher data, the transition of the mental sweating amount of the user during the prediction feature amount measurement period It is a predictive model in which the relationship with the minimum value of the user's mental sweating amount in the determination target period has been learned.
The sweating amount maximum value prediction model is a transition of the measured value of the user's mental sweating amount in the prediction feature amount measuring period when the sweating state determination control is executed in advance, and the user's spirit in the determination target period. By machine learning using a plurality of sweating amount maximum value learning data associated with the maximum value of sexual sweating amount as teacher data, the transition of the mental sweating amount of the user during the prediction feature amount measurement period and the determination target It is a predictive model that has learned the relationship with the maximum value of the user's mental sweating amount during the period.
The sweating state determination device according to claim 1. The prediction unit includes the sweating amount minimum value prediction model and the sweating amount maximum value prediction model stored in the storage unit when the prediction feature amount measurement period elapses from the start of the sweating state determination control. The sweating state determination device according to claim 1 or 2, which predicts the minimum predicted value and the maximum predicted value, respectively, based on the above. The control unit sets the measured value of the user's mental sweating amount measured after the time when the predictive feature amount measuring period elapses from the start of the sweating state determination control with the sweating amount minimum value prediction model and the said. Using the minimum predicted value and the maximum predicted value predicted based on the sweating amount maximum value prediction model, the minimum predicted value is set as the first value, and the maximum predicted value is set to be higher than the first value. Further provided with a processing unit that performs scaling processing as a large second value,
The setting unit sets the determination threshold value as a fixed value equal to or higher than the first value and lower than or lower to the second value.
The sweating state determination device according to any one of claims 1 to 3. Based on the output value of the sweating amount measuring electrode for measuring the user's mental sweating amount and the sweating amount measuring electrode, the user's mental sweating amount is continuously measured over a predetermined determination target period. A control method of a sweating state determination device including a control unit that executes a sweating state determination control for determining a user's mental sweating state based on a measurement result and a comparison result between the measured mental sweating amount and a determination threshold. And
The control unit
Relationship between the transition of the user's mental sweating amount that changes over time in a predetermined predictive feature amount measurement period shorter than the determination target period and the minimum value of the user's mental sweating amount in the determination target period. A model for predicting the minimum sweating amount that represents sex, a transition of the user's mental sweating amount that changes over time during the prediction feature amount measurement period, and a maximum value of the user's mental sweating amount during the determination target period. It has a storage unit that stores the maximum sweating amount prediction model that expresses the relationship between the two.
The determination is made by applying the measured value of the mental sweating amount of the user measured during the prediction feature amount measurement period to the sweating amount minimum value prediction model and the sweating amount maximum value prediction model, respectively, as the feature amount. The minimum and maximum values of the user's mental sweating amount in the target period are predicted, respectively, and the value is equal to or greater than the minimum predicted value which is the minimum value of the user's mental sweating amount in the predicted determination target period. The judgment threshold is set within the range equal to or less than the maximum predicted value which is the maximum value of the user's mental sweating amount in the judgment target period.
Control method of sweating state determination device. The sweating amount minimum value prediction model is a transition of the measured value of the user's mental sweating amount in the prediction feature amount measurement period when the sweating state determination control is executed in advance, and the user's spirit in the determination target period. By machine learning using a plurality of sweating amount minimum value learning data associated with the minimum value of the measured value of the sexual sweating amount as teacher data, the transition of the mental sweating amount of the user during the prediction feature amount measurement period It is a predictive model in which the relationship with the minimum value of the user's mental sweating amount in the determination target period has been learned.
The sweating amount maximum value prediction model is a transition of the measured value of the user's mental sweating amount in the prediction feature amount measuring period when the sweating state determination control is executed in advance, and the user's spirit in the determination target period. By machine learning using a plurality of sweating amount maximum value learning data associated with the maximum value of sexual sweating amount as teacher data, the transition of the mental sweating amount of the user during the prediction feature amount measurement period and the determination target It is a predictive model that has learned the relationship with the maximum value of the user's mental sweating amount during the period.
The control method of the sweating state determination device according to claim 5. When the prediction feature amount measurement period elapses from the start of the sweating state determination control, the control unit has the minimum predicted value based on the sweating amount minimum value prediction model and the sweating amount maximum value prediction model. And predict the maximum predicted value, respectively.
The control method of the sweating state determination device according to claim 5 or 6. The control unit sets the measured value of the user's mental sweating amount measured after the time when the predictive feature amount measuring period elapses from the start of the sweating state determination control with the sweating amount minimum value prediction model and the said. Using the minimum predicted value and the maximum predicted value predicted based on the sweating amount maximum value prediction model, the minimum predicted value is set as the first value, and the maximum predicted value is set to be higher than the first value. The scaling process is performed as a large second value, and the determination threshold is set as a fixed value equal to or greater than the first value and equal to or less than the second value.
The control method of the sweating state determination device according to any one of claims 5 to 7. Based on the output value of the sweating amount measuring electrode for measuring the user's mental sweating amount and the sweating amount measuring electrode, the user's mental sweating amount is continuously measured over a predetermined determination target period. A control program of a sweating state determination device including a control unit that executes measurement and performs sweating state determination control for determining the user's mental sweating state based on the result of comparison between the measured mental sweating amount and the determination threshold. And
The control unit determines the transition of the user's mental sweating amount that changes over time in a predetermined prediction feature amount measurement period shorter than the determination target period, and the user's mental sweating amount in the determination target period. The sweat amount minimum value prediction model showing the relationship with the minimum value, the transition of the user's mental sweating amount that changes over time during the prediction feature amount measurement period, and the user's mental sweating during the determination target period. It has a storage unit that stores a sweating amount maximum value prediction model that shows the relationship with the maximum amount.
In the control program, the control unit uses the measured value of the mental sweating amount of the user measured during the prediction feature amount measuring period as the feature amount, and the sweating amount minimum value prediction model and the sweating amount maximum value prediction model. By applying to and, respectively, the minimum value and the maximum value of the user's mental sweating amount in the determination target period are predicted, respectively, and the minimum value of the user's mental sweating amount in the predicted determination target period is predicted. The determination threshold is set within the range of the minimum predicted value or more and the maximum predicted value of the user's mental sweating amount in the determination target period.
A control program for the sweating condition determination device. The sweating amount minimum value prediction model is a transition of the measured value of the user's mental sweating amount in the prediction feature amount measurement period when the sweating state determination control is executed in advance, and the user's spirit in the determination target period. By machine learning using a plurality of sweating amount minimum value learning data associated with the minimum value of the measured value of the sexual sweating amount as teacher data, the transition of the mental sweating amount of the user during the prediction feature amount measurement period It is a predictive model in which the relationship with the minimum value of the user's mental sweating amount in the determination target period has been learned.
The sweating amount maximum value prediction model is a transition of the measured value of the user's mental sweating amount in the prediction feature amount measuring period when the sweating state determination control is executed in advance, and the user's spirit in the determination target period. By machine learning using a plurality of sweating amount maximum value learning data associated with the maximum value of sexual sweating amount as teacher data, the transition of the mental sweating amount of the user during the prediction feature amount measurement period and the determination target It is a predictive model that has learned the relationship with the maximum value of the user's mental sweating amount during the period.
The control program for the sweating state determination device according to claim 9. When the prediction feature amount measurement period elapses from the start of the sweating state determination control to the control unit, the minimum predicted value is based on the sweating amount minimum value prediction model and the sweating amount maximum value prediction model. And the maximum predicted value are predicted, respectively.
The control program of the sweating state determination device according to claim 9 or 10. The control unit is provided with the measurement value of the user's mental sweating amount measured after the time when the prediction feature amount measurement period elapses from the start of the sweating state determination control, and the sweating amount minimum value prediction model and the above. Using the minimum predicted value and the maximum predicted value predicted based on the sweating amount maximum value prediction model, the minimum predicted value is set as the first value, and the maximum predicted value is set to be higher than the first value. The scaling process is performed as a large second value, and the determination threshold is set as a fixed value which is equal to or greater than the first value and equal to or less than the second value.
The control program for the sweating state determining device according to any one of claims 9 to 11.

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