JP7190535B2 - aspirator - Google Patents

Description

The present invention relates to an aspirator, an aspirator control method, and a control program.

Today is called a stress society, and deep breathing is considered to be effective in relieving or reducing stress. In addition, an inhaler that can impart flavor to the user is known, and when the user inhales using this type of inhaler, the user is naturally encouraged to take a deep breath, which contributes to the elimination and reduction of stress. It is considered to be a thing.

JP-A-2007-37642 JP 2006-17394 A

However, in the conventional suction device, even if you try to suck for the purpose of relieving stress, you have to repeat the suction action (deep breathing) at random, and it is necessary to appropriately judge how long the suction action (deep breathing) should be repeated. was difficult.

SUMMARY OF THE INVENTION The present invention has been made in view of the above-described circumstances, and its object is to provide a technology related to a suction device that allows the user to determine whether or not the stress state has been resolved by the suction operation. That's what it is.

A suction device according to the present invention for solving the above problems is provided in a housing, a mouthpiece unit provided in the housing and having a mouthpiece, and a mouthpiece unit provided in the housing so as to be exposed to the outside. an electrode for measuring the amount of sweating for measuring the amount of psychological sweating, and analyzing the degree of stress of the user based on the amount of psychological sweating measured using the electrode for measuring the amount of sweating, and providing the analysis results to the user. and a control unit that notifies.

In addition, the inhaler according to the present invention further includes an air pressure sensor provided in the housing, and the control unit controls the suction by the user based on the air pressure information regarding the air pressure in the housing output from the air pressure sensor. It may be configured to detect the sucking action of the mouth, and to measure the amount of mental perspiration using the electrode for measuring the amount of perspiration only during the sucking action of the mouthpiece by the user.

Further, in the present invention, the control unit is configured to execute an awakening process of giving a stimulus to the user when it is determined that the mental perspiration amount has decreased to a predetermined low-stress perspiration amount. Also good.

Moreover, in the present invention, the housing may contain an aromatic component. In this case, the housing may be a wooden housing, and the wooden housing may be formed as an aroma source containing an aroma component.

Further, in the present invention, a pair of the electrodes for measuring the amount of perspiration is provided on the housing, and when the user holds the housing, two different regions of the palm of the user holding the housing are formed. It may be arranged at two predetermined places to be touched. In this case, the pair of electrodes for measuring the amount of perspiration may be arranged at two predetermined locations where the index finger and the middle finger of the user who grips the housing touch when the user grips the housing. good.

Further, when executing the stress degree analysis control for analyzing the stress degree of the user, the control unit is arranged such that the mental perspiration amount of the user falls below the predetermined determination threshold value before the predetermined first time-out period arrives. When the time is reached, the main processing is executed to notify the user of a predetermined stress relief completion notice. represents the relationship between the change in the amount of mental perspiration of the user that changes over time during the short predetermined feature amount measurement period for prediction, and the minimum value of the amount of mental perspiration of the user during the maximum continuation period of the main processing. A prediction model for the minimum amount of perspiration, a transition of the user's mental perspiration amount that changes over time during the prediction feature value measurement period, and the maximum value of the user's mental perspiration amount during the maximum period of main processing continuation. a storage unit that stores a maximum perspiration amount prediction model that expresses relevance; Predict the minimum and maximum values of the user's mental perspiration during the maximum continuation period of the main processing, respectively, by applying the model to the minimum perspiration amount prediction model and the maximum perspiration amount prediction model. a prediction unit, wherein the determination threshold value is equal to or greater than the minimum predicted value, which is the minimum value of the amount of mental perspiration of the user during the maximum continuation period of the main processing predicted by the prediction unit, and within the maximum continuation period of the main processing; and 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 perspiration amount.

In addition, the minimum perspiration amount prediction model predicts changes in measured values of the user's mental perspiration amount during the prediction feature amount measurement period when the stress degree analysis control is executed in advance, and during the maximum main processing continuation period. The user's mental perspiration during the prediction feature quantity measurement period is determined by machine learning using a plurality of minimum perspiration amount learning data associated with the minimum measured values of the user's mental perspiration amount as teacher data. A prediction model that has learned the relationship between the change in amount and the minimum value of the user's mental perspiration amount during the maximum continuation period of the main processing, wherein the maximum perspiration amount prediction model performs the stress degree analysis control in advance. are associated with the transition of the measured value of the user's mental perspiration amount during the prediction feature value measurement period and the maximum value of the user's mental perspiration amount during the maximum main processing continuation period when the By machine learning using data for learning the maximum amount of perspiration as teacher data, changes in the amount of mental perspiration of the user during the period for measuring the feature quantity for prediction and the maximum amount of the amount of mental perspiration of the user during the maximum period of continuation of the main processing are determined. It may be a prediction model that has learned the relationship with the value.

Further, the prediction unit stores the minimum perspiration amount prediction model and the maximum perspiration amount prediction model stored in the prediction unit at the time when the prediction feature amount measurement period has elapsed from the start of the main processing. The minimum predicted value and the maximum predicted value may be predicted based on .

Further, the control unit combines the measured values of the user's mental perspiration amount measured after the elapse of the prediction feature amount measurement period from the start of the main process with the minimum perspiration amount prediction model and the using the minimum predicted value and the maximum predicted value respectively predicted based on the maximum perspiration amount prediction model, the minimum predicted value is set as a first value, and the maximum predicted value is set higher than the first value A processing unit that performs scaling processing as a large second value may be further provided, and the setting unit may set the determination threshold as a fixed value equal to or greater than the first value and equal to or less than the second value.

The present invention can also be specified as a control method for an aspirator. That is, the present invention includes a housing, a mouthpiece unit provided in the housing and having a mouthpiece, and a mouthpiece unit provided in the housing so as to be exposed to the outside for measuring the amount of mental perspiration of a user. and a perspiration measurement electrode, wherein the perspiration measurement electrode is used to measure the psychological perspiration of the user, and the method is used based on the measured psychological perspiration. It is characterized by analyzing the degree of stress of a person and notifying the user of the analysis result.

Further, in the suction device control method, when executing stress degree analysis control for analyzing the stress degree of the user, the control unit that controls the suction device causes the user to When the amount of mental perspiration becomes equal to or less than a predetermined determination threshold, main processing is executed to notify the user of a predetermined stress relief completion notification, and the control unit performs the first timeout from the start of the main processing. Changes in the amount of mental perspiration of the user that change over time in a predetermined predictive feature amount measurement period shorter than the maximum continuation period of the main processing until the time comes, and the user's mentality during the maximum continuation period of the main processing. A minimum amount of perspiration prediction model representing the relationship with the minimum amount of sexual perspiration, and changes in the amount of mental perspiration of the user that change over time during the period for measuring the characteristic amount for prediction and during the maximum period of continuation of the main processing. and a maximum perspiration amount prediction model representing the relationship with the maximum mental perspiration amount of the user. By applying the measured value of the measured mental perspiration amount of the user as a feature quantity to the minimum perspiration amount prediction model and the maximum perspiration amount prediction model, respectively, A minimum value and a maximum value of the amount of mental perspiration are respectively predicted, and the minimum predicted value, which is the minimum value of the amount of mental perspiration of the user in the predicted maximum continuation period of the main processing, is equal to or greater than the minimum predicted value and the maximum continuation of the main processing. The determination threshold value may be set within a range equal to or less than the maximum predicted value, which is the maximum value of the amount of mental perspiration of the user in the period.

Further, in the method for controlling an aspirator, the control unit controls the minimum perspiration amount prediction model stored in the prediction unit and the The minimum predicted value and the maximum predicted value may be predicted based on a maximum perspiration amount prediction model.

Further, in the suction device control method, the control unit converts the measured value of the user's mental perspiration amount measured after the elapse of the prediction feature amount measurement period from the start of the main process to the perspiration Using the minimum predicted value and the maximum predicted value predicted based on the minimum amount prediction model and the maximum perspiration amount prediction model, the minimum predicted value is set as a first value and the maximum predicted value is set to The scaling process may be performed as a second value larger than the first value, and the determination threshold may be set as a fixed value equal to or greater than the first value and equal to or less than the second value.

The present invention can also be specified as a control program for an aspirator. That is, the present invention includes a housing, a mouthpiece unit provided in the housing and having a mouthpiece, and a mouthpiece unit provided in the housing so as to be exposed to the outside for measuring the amount of mental perspiration of a user. and a perspiration measurement electrode, wherein the control unit causes the perspiration measurement electrode to measure the amount of mental perspiration of the user, and the mental perspiration It is characterized by analyzing the degree of stress of the user based on the measured value of the amount and notifying the user of the analysis result.

Further, the control program of the suction device, when causing the control unit to execute stress degree analysis control for analyzing the stress degree of the user, detects the amount of mental perspiration of the user before a predetermined first time-out period arrives. becomes equal to or less than a predetermined determination threshold value, the main processing for notifying the user of a predetermined stress relief completion notification is executed, and the control unit causes the first timeout time to arrive from the start of the main processing. Transition of the user's mental perspiration amount that changes over time in a predetermined prediction feature amount measurement period shorter than the maximum main processing continuation period until A minimum perspiration amount prediction model that expresses the relationship with the minimum value, a transition of the user's mental perspiration amount that changes over time during the prediction feature value measurement period, and the user's mentality during the maximum main processing continuation period and a maximum perspiration amount prediction model representing the relationship with the maximum amount of sexual perspiration. By applying the measured value of the user's mental perspiration amount measured over the prediction feature amount measurement period as a feature amount to the minimum perspiration amount prediction model and the maximum perspiration amount prediction model, respectively, Predicting the minimum and maximum values of the user's mental perspiration during the maximum continuation period of the main processing, respectively, and the predicted minimum value of the mental perspiration of the user during the maximum continuation period of the main processing. The determination threshold value may be set to a range equal to or less than the maximum predicted value, which is the maximum value of the amount of mental perspiration of the user during the maximum continuation period of the main processing.

Further, the control program for the aspirator causes the control unit to instruct the control unit to store the minimum perspiration amount prediction model stored in the prediction unit and the The minimum predicted value and the maximum predicted value may be predicted based on a maximum perspiration amount prediction model.

Further, the control program for the aspirator causes the control unit to store the measured values of the user's mental perspiration measured after the elapse of the prediction feature amount measurement period from the start of the main process as the perspiration. Using the minimum predicted value and the maximum predicted value predicted based on the minimum amount prediction model and the maximum perspiration amount prediction model, the minimum predicted value is set as a first value and the maximum predicted value is set to The scaling process may be performed as a second value larger than the first value, and the threshold for determination may be set as a fixed value equal to or greater than the first value and equal to or less than the second value.

Further, the present invention may be a computer-readable recording medium recording the control program for the aspirator.

Advantageous Effects of Invention According to the present invention, it is possible to provide a technology related to an aspirator that allows a user to determine whether or not a stress state has been resolved by a suction operation.

FIG. 1 is an external perspective view of an aspirator according to Embodiment 1. FIG. 2 is an exploded perspective view of the aspirator according to Embodiment 1. FIG. 3 is a front view of the aspirator according to Embodiment 1. FIG. 4 is a side view of the aspirator according to Embodiment 1. FIG. 5A and 5B are diagrams illustrating a mounting structure between the mouthpiece unit and the wooden housing in the suction device according to the first embodiment. FIG. FIG. 6 is a diagram illustrating a mounting structure between the mouthpiece unit and the wooden housing in the suction device according to Embodiment 1. FIG. 7 is a block diagram of an aspirator according to Embodiment 1. FIG. FIG. 8 is a flow chart showing a power-on processing routine according to the first embodiment. FIG. 9 is a flow chart showing a main processing routine in the first embodiment. FIG. 10 is a flow chart showing a feedback processing routine according to the first embodiment. FIG. 11 is a diagram conceptually showing temporal transition of the amount of mental perspiration when the control unit of the aspirator executes the stress degree analysis control. 12 is a block diagram of an aspirator according to Embodiment 2. FIG. FIG. 13 is a flow chart showing a power-on processing routine according to the second embodiment. FIG. 14 is a flow chart showing a main processing routine according to the second embodiment. FIG. 15 is a diagram illustrating an aspirator according to a modification. 16 is a block diagram of an aspirator according to Embodiment 3. FIG. FIG. 17 is a diagram exemplifying changes in the amount of mental perspiration of the user when the inhaler according to the third embodiment executes stress level analysis control. FIG. 18 is a diagram illustrating processing contents of main processing according to the third embodiment. FIG. 19 is a flow chart showing the details of the perspiration determination process in the main process according to the third embodiment. FIG. 20 is a diagram showing the temporal transition of the scaled perspiration amount measurement value when stress degree analysis control is performed for a plurality of users using suction devices. FIG. 21 is a diagram showing the temporal transition of the corrected perspiration amount measured value when the stress degree analysis control is performed for a plurality of users using suction devices.

Here, an embodiment of an aspirator according to the present invention will be described based on the drawings. Unless otherwise specified, the dimensions, materials, shapes, relative arrangements, etc. of the constituent elements described in this embodiment are not intended to limit the technical scope of the invention.

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

The suction device 1 is a small portable suction device having a stress check function for checking the degree of stress of the user by measuring the amount of mental perspiration of the user's palm. The suction device 1 has a mouthpiece 11, a mouthpiece receiver 12, a wooden housing 13, and the like, which define the outer shape. Although the materials of the mouthpiece 11 and the mouthpiece receiver 12 are not particularly limited, they are made of resin in this embodiment.

Reference numeral 20 shown in FIG. 2 is a control unit that controls the suction device 1 as a whole. The control unit 20 has a board storage section 22 for storing an electronic board 21 (outline is shown by broken lines in FIG. 3), a power supply 23, a fixing unit 24, and the like. An exposed portion 25 is formed on a part of the surface of the substrate housing portion 22 and is exposed to the outside when assembled as the aspirator 1 . 27 are arranged vertically. Mental perspiration measurement electrodes 26 and 27 are electrodes used for measuring mental perspiration. The position, size, shape, and the like of the electronic board 21 stored in the board storage section 22 in the storage space are not particularly limited.

The power supply 23 has a battery storage section 231 that stores a battery 230 . A storage space 231 a for storing the battery 230 is formed inside the battery storage part 231 , and the battery 230 can be inserted into and removed from the storage space 231 a through an insertion opening formed in the upper part of the board storage part 22 . In this embodiment, the battery 230 is a dry battery, but is not limited to this, and may be, for example, a lithium ion battery. In addition, in the control unit 20 of the present embodiment, the board storage section 22 and the power supply 23 are formed integrally, but they may be formed separately. The power supply 23 (battery 230) supplies power necessary for the operation of the inhaler 1. FIG.

The wooden housing 13 has an accommodation space 130 that accommodates 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. A spring terminal 241 that contacts the negative pole of the battery 230 and a contact terminal 242 that contacts the positive pole of the battery 230 are provided on the lower surface of the fixing unit 24 (see FIGS. 2, 3, etc.). Reference numeral 231b shown in FIG. 3 denotes a spring terminal provided on the battery housing portion 231 side, and reference numeral 231c denotes a contact terminal provided on the battery housing portion 231 side. The spring terminal 231b of the battery storage portion 231 contacts the negative pole of the battery 230 stored in the battery storage portion 231, and the contact terminal 231c contacts the positive electrode of the battery 230 stored in the battery storage portion 231. is provided. The spring terminal 231b and the contact terminal 231c of the battery housing portion 231 are arranged at the bottom of the housing space 231a.

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

In the suction device 1 according to this 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 can be attached to and detached from the wooden casing 13 . ing. As shown in FIG. 2, the mouthpiece receiver 12 has a mounting hole 121 into 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 attached to the mouthpiece receptacle 12, and the integrated mouthpiece unit 10 is formed. A mouthpiece hole 112 is provided on the other end side of the mouthpiece 11 . The mouthpiece hole 112 extends through the mouthpiece 11 in the axial direction. A ventilation hole (not shown) is provided in the wooden housing 13 of the suction device 1, and the ventilation hole and the mouthpiece hole 112 of the mouthpiece unit 10 (mouthpiece 11) are connected to the inside of the wooden housing 13. An air passage (not shown) is formed to

5 and 6 are diagrams for explaining the attachment structure between the mouthpiece unit 10 and the wooden casing 13 in the suction device 1 according to Embodiment 1. FIG. As shown in FIG. 5, a locking projection 122 protrudes downward from the lower surface 12a of the mouthpiece receiver 12 of the mouthpiece unit 10. As shown in FIG. The locking protrusion 122 has a shaft portion 122a protruding 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 with a diameter larger than that of the shaft portion 122a.

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

When attaching the mouthpiece unit 10 to the wooden housing 13, the position of the locking projection 122 of the mouthpiece unit 10 is aligned with the position of the insertion/removal hole 244a of the fixing unit 24, and the lower surface 12a of the mouthpiece receiver 12 is aligned with the fixing unit. 24 until it abuts on the upper surface 24a of the locking projection 12
2 is inserted into the insertion/extraction hole 244a. After that, the shaft portion 122a of the locking protrusion 122 is slid along the slide hole 244b so that the lower surface 12a of the mouthpiece receiver 12 slides on the upper surface 24a of the fixing unit 24. As shown in FIG. When the shaft portion 122a of the locking projection 122 is slid to the tip of the slide hole 244b, for example, the locking portion 29 shown in FIG. ), the mouthpiece unit 10 is attached to the wooden casing 13 . 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 removing the mouthpiece unit 10 from the wooden casing 13, the locking portion 29 is unlocked, and the shaft portion 122a of the locking projection 122 is moved along the sliding hole 244b to the proximal end (insertion/removal hole). 244a). The mouthpiece unit 10 can be removed from the wooden casing 13 by sliding the locking projection 122 to the insertion/removal hole 244a and then pulling out the locking projection 122 from the insertion/removal hole 244a.

FIG. 7 is a block diagram of the suction device 1 according to Embodiment 1. FIG. A control unit 30 that is a control unit for controlling the suction device 1 is mounted on the electronic board 21 of the suction device 1 . The control unit 30 may be, for example, a microcomputer having a processor, memory, and the like. The control unit 30 is connected to the electrodes 26 and 27 for measuring the amount of mental perspiration, the air pressure sensor 40, the vibration motor 41, the light emitting element 43, the power source 23, and the like via electrical wiring. , 27 and an output signal output from the atmospheric pressure sensor 40 are input.

The atmospheric pressure sensor 40 is provided inside the wooden casing 13 and is a sensor that detects the atmospheric pressure inside the wooden casing 13 . The atmospheric pressure sensor 40 is, for example, a condenser microphone sensor, and may output, for example, a voltage value indicating the capacitance of the condenser. The air pressure sensor 40 detects that when the user sucks the mouthpiece 11 , the air taken into the wooden casing 13 through the ventilation hole (not shown) is ventilated toward the mouthpiece hole 112 of the mouthpiece 11 . It outputs the air pressure inside the wooden housing 13 that changes as it flows through a path (not shown).

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

The light emitting element 43 is, for example, a light source such as an LED or electric light. The light emitting element 43 is provided, for example, in the wooden housing 13 in such a manner that the light emitted can be visually recognized by the user. For example, the light-emitting element 43 may be provided on the side of the wooden housing 13 opposite to the mouthpiece 11 , so that the user can easily see the light emitted from the light-emitting element 43 while sucking the mouthpiece 11 . The pattern is easily visible. The light-emitting element 43 may emit light in different light-emitting patterns depending on the state of the suction device 1 . Power for operating the light emitting element 43 is supplied from the power supply 23 .

The electrodes 26 and 27 for measuring the amount of mental perspiration correspond to the skin conductance based on the resistance value when a weak electric current for measuring the amount of perspiration is supplied to the skin of the user's finger upon receiving power from the power supply 23. Output the response value. In the suction device 1 according to the present embodiment, for example, two predetermined positions (that is, respective positions where the index finger and the middle finger are placed) that the user touches with the index finger and the middle finger when holding the wooden housing 13 are provided. A pair of electrodes 26 and 27 for measuring the amount of mental perspiration are arranged. As a result, while the user is holding the suction device 1, the electrodes 26 and 27 for measuring the amount of mental perspiration can be kept in contact with the skin surface of the user's fingers. However, the arrangement positions of the pair of electrodes 26 and 27 for measuring the amount of mental perspiration are not limited to the above positions. For example, they may be arranged at two predetermined locations where two different areas (portions) of the palms of the user who grips the wooden casing 13 touch when the user grips the wooden casing 13 . For example, a pair of electrodes 26 and 27 for measuring the amount of mental perspiration may be arranged at two locations corresponding to the palm sole and the ball of the user's palm. , may be arranged at two locations corresponding to any finger, or may be arranged at two locations corresponding to the ball of the palm and any finger. Also, a pair of electrodes 26 and 27 for measuring the amount of mental perspiration may be arranged at two locations corresponding to two fingers different from the combination of the index and middle fingers of the user's palm.

As shown in FIG. 7, the control unit 30 includes an air pressure acquisition unit 31, a power switch unit 32, a perspiration measurement unit 33, a motor control unit 34, a storage unit 35, a setting unit 36, a light emission control unit 37, a determination unit 38, It has a clock unit 39 and the like. The storage unit 35 is, for example, a non-volatile memory, and stores various programs for the processor of the control unit 30 to execute. 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 control for analyzing the stress degree of the user by measuring the amount of mental perspiration of the user using the suction device 1 .

The atmospheric pressure acquisition unit 31 acquires the atmospheric pressure inside 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 user's sucking action (puffing action) of the mouthpiece 11 based on the acquired air pressure inside the wooden housing 13 (that is, by detecting negative pressure). For example, the atmospheric pressure acquisition unit 31 detects a suction state (suction period) in which the user sucks the mouthpiece 11 and a non-suction state (non-suction section) in which the user does not suck the mouthpiece 11 . Thereby, the air pressure acquisition unit 31 can specify the number of suction operations for sucking the mouthpiece 11 . A specific technique itself for detecting the start of the suction operation (puff operation) using the atmospheric pressure sensor 40 and the end of the suction operation is known, and detailed description thereof will be omitted here.

The clocking unit 39 has a clocking function of clocking the elapsed time from the end of a suction (puff) operation by the user, or clocking the elapsed time from the start of a main process or a feedback process, which will be described later. .

The power switch unit 32 switches to the ON state when the power of the aspirator 1 is turned on, and switches to the OFF state when the power of the aspirator 1 is turned off. The power switch unit 32 is turned on when the timer in the timing unit 39 expires, for example, when a predetermined period of time elapses after the latest suction operation is detected by the atmospheric pressure acquisition unit 31 without detecting the next suction operation. It may be switched to an 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 user's first suction operation, the power switch unit 32 may be switched from the off state to the on state. .

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

The setting unit 36 of the control unit 30 sets reference values, thresholds, and the like for each parameter related to stress degree analysis control, which will be described later, stores them in the storage unit 35, and updates (resets) them. Furthermore, the setting unit 36 stores, updates (reset), etc. the count value obtained by counting the number of suctions (puffs) performed by the user when the power switch unit 32 is on.

In addition, the motor control unit 34 notifies the user of various information by performing driving control of the vibration motor 41 and vibrating the wooden housing 13 . Further, the light emission control section 37 performs light emission control of the light emitting element 43 and notifies the user of various information. Furthermore, the determination unit 38 performs various determination processes in stress degree analysis control, which will be described later.

≪Contents of control≫
Next, the stress level analysis control executed by the controller 30 in the suction device 1 according to the first embodiment will be described. FIG. 8 is a flow chart showing a power-on processing routine executed by the controller 30 in the first embodiment. FIG. 9 is a flow chart showing a main processing routine executed by the control unit 30 after the power-on processing routine in the first embodiment. FIG. 10 is a flow chart showing a feedback processing routine executed by the control unit 30 after the main processing routine in the first embodiment. Various processing routines shown in FIGS. 8 to 10 can be realized by executing various programs stored in the storage unit 35 by the processor of the control unit 30. FIG.

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

[Power-on processing routine]
Next, specific contents of the power-on process will be described with reference to FIG. The power-on process is a control flow that the control unit 30 starts executing 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 user's first suction (puff) operation while the power switch unit 32 is in the off state, the power switch unit 32 is switched from the off state to the on state. switch to

At time T0 shown in FIG. 11, the power switch unit 32 is switched from the off state to the on state, and the power-on process is started. Initialization processing is performed to initialize (reset) the previous setting information stored in the The previous setting information referred to here is the number of times of suction stored in the storage unit 35 when the stress degree analysis control was executed when the suction device 1 was activated last time (when switched from the OFF state to the ON state). data on the number of times of suction, atmospheric pressure reference value data on the atmospheric pressure reference value, initial reference perspiration amount data on the initial reference perspiration amount Qsb, judgment perspiration amount data on the judgment perspiration amount Qsj, etc. are reset (deleted). The atmospheric pressure reference value data, the initial reference perspiration amount data, and the determination perspiration 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 perspiration amount data relating to the current stress level analysis control, and stores them in the storage unit 35. FIG. Specifically, in step S<b>102 , the air pressure acquisition unit 31 of the control unit 30 acquires air pressure data inside the wooden housing 13 based on the output signal of the air pressure sensor 40 . In this step, when the user is in a non-sucking state (non-sucking section) in which the user does not suck the mouthpiece 11, for example, over a predetermined data acquisition period (for example, 3 seconds), a predetermined period (for example, 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 causes the storage unit 35 to store the atmospheric pressure reference value data related to the atmospheric pressure reference value set in this step. It should be noted that the atmospheric pressure reference value obtained as described above is the atmospheric pressure data within the wooden housing 13 in the non-suction state (non-suction section), and therefore approximately matches the atmospheric pressure.

Next, in step S103, the perspiration measurement unit 33 of the control unit 30 measures the amount of mental perspiration of the user at predetermined intervals (for example, 100 ms) over a predetermined data acquisition period (for example, 3 seconds). to measure. In order to measure the amount of mental perspiration, the perspiration measurement unit 33 issues a command to the power supply 23 to supply power from the power supply 23 to the electrodes 26 and 27 for measuring the amount of mental perspiration. As described above, the electrodes 26 and 27 for measuring the amount of mental perspiration are positioned so that the fingers (for example, the index finger and the middle finger) of the user holding the suction device 1 touch the electrodes 26 and 27 for measuring the amount of mental perspiration. are placed in The perspiration measurement unit 33 applies a weak perspiration measurement current from the mental perspiration measurement electrodes 26, 27 to the skin of the finger of the user holding the suction device 1, and the mental perspiration measurement electrodes 26, 27 Based on the response value corresponding to the skin conductance output from 27, the user's mental perspiration can be measured.

The perspiration measurement unit 33 of the control unit 30 measures a plurality of mental perspiration related to the amount of mental perspiration obtained at predetermined intervals (eg, 100 ms) over a predetermined data acquisition period (eg, 3 seconds) as described above. An average value obtained by averaging the perspiration amount data is obtained as an initial standard perspiration amount Qsb. Then, the setting unit 36 of the control unit 30 causes the storage unit 35 to store the initial reference perspiration amount data regarding the initial reference perspiration amount Qsb. Note that the initial standard perspiration amount Qsb acquired in this step reflects the state of the user when the user is in a non-sucking state (non-sucking section) in which the user is not sucking the mouthpiece 11 at the start of the stress degree analysis control. This is the reference value for mental perspiration. Note that the process of step S103 and the process of step S102 described above may be performed at the same time, or may be performed in a different order.

Next, in step S104, a start notification is sent to the user to notify (report) the start of the stress degree analysis control. Specifically, the motor control unit 34 of the control unit 30 causes the power supply 23 to supply power to the vibration motor 41 to operate (drive) the vibration motor 41 . By driving the vibration motor 41 to vibrate the wooden housing 13 and having the user perceive the vibration, the user can be notified of the start of the stress level analysis control. Further, the start notification may be made by light emission of the light emitting element 43 instead of or in combination with the notification by vibration of the wooden housing 13 . In this case, the light emission control unit 37 causes the light emitting element 43 to be supplied with power from the power supply 23, and causes the light emitting element 43 to emit light in a predetermined light emission pattern.

By detecting the start notification by vibration or light emission, it is grasped that the preparation on the side of the suction device 1 is completed, and the timing of shifting to the suction operation (deep breathing operation) of the mouthpiece 11 for relieving stress is facilitated. can grasp. Note that the start notification sent to the user in this step can also be used as a notification to notify (notify) the user that the acquisition of the initial reference perspiration amount Qsb has been completed.

In addition, in the start notification, the vibration pattern for vibrating the vibration motor 41 can be changed as appropriate. For example, when vibrating the vibration motor 41, the state in which the vibration motor 41 is driven and the state in which the driving is stopped may be alternately repeated. Although not particularly limited, for example, the driving time of the vibration motor 41 may be set to 200 ms and the rest time to 400 ms, and a plurality of sets (for example, two times) of driving and resting may be repeated. Further, when the vibration notification by vibration of the wooden housing 13 and the light emission notification by light emission of the light emitting element 43 are used together, both may be performed at the same time, or may be performed at different times. When shifting in terms of time, the order in which vibration notification and light emission notification are performed can be changed as appropriate. After completing the process of step S104, the control unit 30 once ends the power-on process, and starts the process related to the main process routine shown in FIG.

At time T1 shown in FIG. 11, when the power-on process ends and the main process starts, the mental perspiration amount Qs gradually decreases from time T1 to time T2. This is because, as will be described later, in the main processing section, the user repeatedly takes a deep breath as the suction action of sucking the inhaler 1 is repeatedly performed, and the stress level of the user is reduced. This is because it leads to a decrease in the amount of mental perspiration Qs to be reflected. It is known that when the sympathetic nervous system is tense, the amount of mental perspiration from the skin surface increases. In addition, when the mental and physical tension is relieved by taking deep breaths, the parasympathetic nerve becomes dominant, so the amount of mental perspiration decreases. In the present invention, it is determined that the decrease in the amount of mental perspiration contributes to the elimination and reduction of the user's stress. That is, in the stress level analysis control in this embodiment, it is estimated that the increase/reduction of stress is correlated with the tension/relaxation of the sympathetic nervous system, and the psychological The user's degree of stress is analyzed based on the amount of perspiration. In addition, according to the inhaler 1 according to the present embodiment, the wooden casing 13 is provided, and the wooden casing 13 is formed as an aroma source containing an aroma component. Therefore, the user's stress is reduced by simply performing the sucking operation of the inhaler 1, but the user can inhale the fragrant component emitted from the wooden housing 13 when sucking with the inhaler 1, further relaxing. can be given.

In FIG. 11, at time T1 when the main process is started, the mental perspiration amount Qs is the initial reference perspiration amount Qsb set in the power-on process. In the example shown in FIG. 11, when the mental sweating amount Qs has decreased to a predetermined low stress sweating amount Qsb2 at time T2, a slight stress is applied to the user to awaken the user. Awakening processing is performed, the main processing is terminated, and feedback processing is started.

The low stress perspiration amount Qsb2 is set to a value lower than the initial reference perspiration amount Qsb by a predetermined first reference perspiration reduction amount ΔQsd1. Here, the low-stress perspiration amount Qsb2 is obtained when the mental perspiration amount Qs is decreased from the initial reference perspiration amount Qsb by the first reference perspiration reduction amount ΔQsd1, and the tension of the sympathetic nervous system of the user is relaxed, and the stress is sufficiently relieved. It is set as a threshold at which it can be determined that the problem has been resolved. The first reference perspiration reduction amount ΔQsd1 may be set as a fixed value, or may be changeable by the user.

When the awakening process is performed at time T2 in FIG. 11, the mental perspiration amount Qs gradually increases. The details of the awakening process will be described later, but in the awakening process, the user's skin is stimulated to intentionally give the user a slight stress, thereby slightly increasing the user's arousal level. In FIG. 11, the amount of mental perspiration Qs at time T2 corresponds to the amount of low-stress perspiration Qsb2. Gradually increases toward T3. Then, at time T3, the feedback process ends when the amount of perspiration for completion of wakefulness Qsb3 is reached.

The awakening completion perspiration amount Qsb3 is set to a value larger than the low stress perspiration amount Qsb2 by a predetermined first reference perspiration increase amount ΔQsu1. The first reference perspiration increase amount ΔQsu1 is set to a value smaller than the first reference perspiration decrease amount ΔQsd1. The first reference perspiration increase amount ΔQsu1 is such that if the mental perspiration amount Qs increases from the low-stress perspiration amount Qsb2 by the first reference perspiration increase amount ΔQsu1, the user can maintain a low-stress state and be fully conscious. It can be set as a threshold value by which it can be determined that the state is reached. The first reference perspiration increase amount ΔQsu1 may be set as a fixed value, or may be changeable by the user.

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

Next, in step S202, the determination unit 38 determines whether or not the user is currently sucking the mouthpiece 11 based on the air pressure data acquired in step S201. In this step, when the determination unit 38 determines that the suction state is established, the suction frequency data stored in the storage unit 35 is updated. Since the suction frequency data stored in the storage unit 35 is temporarily reset in step S101 of the power-on process, the current main processing routine is executed in this step. A value obtained by accumulating the number of suction times after the start is stored in the storage unit 35 . Then, after updating the suction frequency data in the storage unit 35, the process proceeds to step S203. It should be noted that in step S202, when the determination unit 38 determines that it is in the non-suction state, the process proceeds to step S209. Details of the processing in step S209 will be described later.

Next, in step S203, the perspiration measurement unit 33 measures the mental perspiration Qs of the user. That is, in this step, the amount of mental perspiration Qs of the user during the suction operation is measured. In this step, similarly to step S103 of the power-on process shown in FIG. The skin conductance is measured by running, and the mental perspiration amount Qs is obtained based on the measured value of the skin conductance. In this step, since the amount of mental perspiration Qs of the user in the sucking state is measured, it is possible to reduce body movement artifacts, which are apparent changes (noise) in the amount of mental perspiration due to body movement. can.

In steps S202 and S203, the amount of mental perspiration Qs is measured when it is detected that the user is sucking. The mental perspiration amount Qs may be measured only after is detected. In this case, the determination unit 38 acquires the duration of the suction action by the user from the timer 39, and when it is determined that the duration of the suction action exceeds a predetermined threshold value, the perspiration amount measurement unit 33 determines that mental perspiration is detected. The quantity Qs may also be measured.

Next, proceeding to step S204, the determination unit 38 determines the most recently acquired measurement value of the amount of mental perspiration (hereinafter referred to as the “latest measurement value”) and the amount of perspiration for determination Qsj stored in the storage unit 35. ΔQs, which is the difference between . The amount of perspiration for determination Qsj is an amount of perspiration for determination that is used when comparing it with the amount of low-stress perspiration Qsb2 in a determination step described later. is the amount of perspiration that reflects the state of the user as it decreases.

The determination unit 38 determines whether or not the calculated perspiration change amount ΔQs is less than a predetermined threshold allowable change amount ΔQsa (for example, 10 [mg/cm ² /min]). Here, if the perspiration change amount ΔQs is less than the permissible change amount ΔQsa, the process proceeds to step S205, and the setting unit 36 uses the latest measured value to determine the determination perspiration amount Qsj stored in the storage unit 35. Update the perspiration amount data for determination. In step S<b>205 , the latest measured value is adopted as the perspiration amount Qsj for determination and stored in the storage unit 35 . After the process of step S205 is completed, the process proceeds to step S206.

It should be noted that, at the time of the first measurement in which the amount of mental perspiration is measured for the first time after the start of the main processing routine, the determination perspiration amount data relating to the determination amount of perspiration Qsj is reset in the storage unit 35, so that In this case, the processing of step S204 is omitted and the process advances to step S205 to store the first measured value of the mental perspiration amount in the storage unit 35 as the determination perspiration amount Qsj. After the process of step S205 is completed, the process proceeds to step S206.

Further, in step S204, if the perspiration change amount ΔQs is equal to or greater than the permissible change amount ΔQsa, the determination perspiration amount data relating to the determination perspiration amount Qsj stored in the storage unit 35 is not updated, and the step is performed as it is. Proceed to S206. In the present embodiment, when the amount of change in perspiration ΔQs is equal to or greater than the allowable amount of change ΔQsa, that is, the most recently acquired latest measurement value has excessively changed from the measurement value acquired before the latest measurement value. In such a case, it is determined that the body movement artifact has a large effect on the latest measured value, and the latest measured value is used as the amount of perspiration Q for determination.
Not adopted as sj.

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

In step S<b>207 , the motor control unit 34 causes the vibration motor 41 to supply electric power from the power supply 23 to operate (drive) the vibration motor 41 , thereby executing the awakening process. The awakening process is a process of increasing the user's awakening level by giving the user a vibration stimulus (minor stress) of the wooden housing 13 caused by driving the vibration motor 41 . The driving pattern of the vibration motor 41 in the awakening process is not particularly limited, but the user's awakening level may be increased by driving the vibration motor 41 for 1000 ms, for example. After the awakening process of step S207 is completed, the process proceeds to step S208.

In step S208, the light emission control unit 37 controls the light emitting element 43 to supply power from the power source 23, and causes the light emitting element 43 to emit light in a predetermined light emission pattern, thereby notifying the user of the completion of stress relief. Notify (announce). This stress relief completion notification is a notification for notifying the user that the tension in the user's sympathetic nervous system has been relaxed and the stress has been sufficiently relieved. The light emission pattern of the light emitting element 43 in this step may be set to a light emission pattern different from that in 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 finished, the main process is once finished, and the process related to the feedback process routine shown in FIG. 10 is started.

Next, the processing of step S209 will be described. In step S<b>209 , the determination unit 38 acquires the elapsed time Tp<b>1 from the start of the main processing from the clock unit 39 . Then, the determination unit 38 determines whether or not the acquired elapsed time Tp1 exceeds a predetermined first timeout time Tsh1. The first timeout period Tsh1 may be set as a fixed value (for example, about 180 seconds), or may be changed by the user.

When it is determined in step S209 that the elapsed time Tp1 has not passed the first timeout time Tsh1, the process returns to 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 advances to step S210 to perform awakening processing as in step S207. When the awakening process of step S210 ends, the process proceeds to step S211.

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

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

Here, a method for determining the awakening completion perspiration amount Qsb3 will be described. In the present embodiment, the awakening completion perspiration amount Qsb3 is determined according to whether the mental perspiration amount Qs has decreased to the low stress perspiration amount Qsb2 in the main processing routine described above, or whether the main processing routine has ended due to timeout. , are set to different values.

Specifically, in the main processing routine, when the awakening process is performed when the mental sweating amount Qs has decreased to the low stress sweating amount Qsb2, the awakening completed sweating amount Qsb3 is higher than the low stress sweating amount Qsb2. It is set as a value larger by a predetermined first reference perspiration increase amount ΔQsu1. On the other hand, when the main processing routine times out and the awakening process is performed in a state where the mental perspiration amount Qs has not decreased to the low stress perspiration amount Qsb2, the awakening completion perspiration amount Qsb3 is Based on the amount of perspiration for determination Qsj stored in the storage unit 35, the value is set as a value higher than the amount of perspiration for determination Qsj by a predetermined second reference perspiration increase amount ΔQsu2. Here, the second reference increase amount of perspiration ΔQsu2 is set to a value smaller than the first reference increase amount of perspiration ΔQsu1.

If it is determined in step S302 that the amount of mental perspiration Qs is equal to or less than the amount of perspiration that completes awakening Qsb3, the process proceeds to step S303, if it is determined that the amount of mental perspiration Qs exceeds the amount of perspiration that completes awakening Qsb3. to step S305.

In step S<b>303 , the determination unit 38 acquires from the clock unit 39 an elapsed time Tp<b>2 from when the feedback process was started. Then, the determination unit 38 determines whether or not the acquired elapsed time Tp2 exceeds a predetermined second timeout time Tsh2. The second timeout time Tsh2 may be set as a fixed value (for example, about 30 seconds), or may be changed by the user.

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

In step S304, a time-out notification is sent to the user to inform them that time-out has occurred. The time-out notification may be a vibration notification that vibrates the wooden housing 13 by driving the motor control unit 34, or alternatively, a light emission notification that emits light from the light emitting element 43 that is used in combination. When the process of step S304 is completed, the process proceeds to step S306.

In step S305, the user is notified of completion. The completion notification is a notification for informing the user that the user is in a state of being sufficiently awake while maintaining a low-stress state. After 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 cut off.

As described above, according to the inhaler 1 according to the present embodiment, the control unit 30 performs the stress level analysis control, and thus the stress level of the user is calculated based on the psychological sweating amount information related to the user's psychological sweating amount. Since the degree is analyzed and the result of the analysis 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. - 特許庁

In the above-described main processing routine, the control unit 30 repeatedly measures the amount of mental perspiration Qs of the user (for example, every 100 ms) from the start of the main processing routine to the time-out. It is possible to accurately determine whether or not Qs has decreased to the low stress perspiration amount Qsb2 and the stress has been sufficiently eliminated. Then, when it is confirmed that the mental sweating amount Qs has decreased to the low stress sweating amount Qsb2, a slight stimulus (stress) is dared to be applied to the user, and an awakening process is executed to increase the awakening level. Therefore, it is possible to awaken the user to a state in which the user's consciousness is refreshed, not a state in which the user's consciousness is dim. However, the awakening process is not essential in the stress degree analysis control in this embodiment, and may be omitted as appropriate. For example, in step S206 of the main processing routine shown in FIG. 9, it is determined that the determination perspiration amount Qsj (the user's mental perspiration amount Qs) stored in the storage unit 35 is less than the low stress perspiration amount Qsb2. In this case, the process may proceed to step S208 without performing the awakening process, and notify the user of the completion of stress relief. Also, even when timeout occurs in step S209 of the main processing routine, the process may proceed to step S211 without performing the awakening process, and the user may be notified of the timeout.

Further, in the awakening process of the present embodiment, the vibration stimulus is applied to the user by vibrating the wooden housing 13 by driving the vibration motor 41. However, it is possible to apply a slight stress to the user. If possible, other methods may be adopted. For example, the light-emitting element 43 may emit light to stimulate the user and wake him/her up. In addition, the suction device 1 may be provided with an audio output device that outputs audio, in which case the user may be awakened by giving stimulation with audio. Note that the suction device 1 in this embodiment may not include the light-emitting element 43, and various notifications performed using the light-emitting element 43 in the stress degree analysis control described above are performed by driving the vibration motor 41. Vibration of the wooden housing 13 can be substituted.

In addition, according to the suction device 1 of the present embodiment, in the main processing routine related to the stress level analysis control, the amount of mental perspiration is measured only while the user is inhaling the suction device 1. It is possible to reduce the effects of body movement artifacts, which are changes in the apparent amount of mental perspiration due to body movement, and to accurately grasp the amount of mental perspiration of the user. However, in the suction device 1 of the present embodiment, the mental perspiration amount may be measured during non-sucking operation.

<Embodiment 2>
Next, an aspirator 1A according to Embodiment 2 will be described. FIG. 12 is a block diagram of an aspirator 1A according to Embodiment 2. FIG. In the aspirator 1A according to Embodiment 2, the same components as those of the aspirator 1 according to Embodiment 1 are denoted by the same reference numerals, and detailed description thereof is omitted. As shown in FIG. 12, the suction device 1A has a pressure sensor 44. As shown in FIG. The pressure-sensitive sensor 44 is provided in an exposed state on the wooden housing 13 and detects the pressure when the user grips the suction device 1 relatively strongly. The controller 30A of the suction device 1A has a pressure detector 31A that acquires the output signal of the pressure sensor 44 . Further, the suction device 1A is different from the suction device 1 according to the first embodiment in that it does not include the air pressure sensor 40, and the rest of the configuration is the same as the suction device 1 according to the first embodiment.

In the inhaler 1A according to this embodiment, when the control unit 30A executes the stress degree analysis control, the grip pressure with which the user grips the wooden casing 13 is detected based on the output signal from the pressure sensor 44. In this case, the user's mental perspiration is measured.

FIG. 13 is a flow chart showing a power-on processing routine according to the second embodiment. FIG. 14 is a flow chart showing a main processing routine according to the second embodiment. The following description focuses on the processing contents that differ from the power-on processing routine and main processing routine described with reference to FIGS. 9 and 10 of the first embodiment.

[Power-on processing routine]
In the power-on processing routine shown in FIG. 13, the processing contents of step S102 shown in FIG. 9 are omitted. That is, when the control unit 30A starts the power-on processing routine triggered by the switching of the power switch unit 32 from the off state to the on state, the initialization processing of the previous setting information stored in the storage unit 35 is performed in step S101. Then, in step S103, the perspiration measuring unit 33 acquires the initial standard perspiration Qsb. Then, in subsequent step S104, after notifying the user of the start notification for notifying the start of the stress degree analysis control, the power-on processing routine is ended, and the main processing routine shown in FIG. 14 is started. The power switch unit 32 is turned on from the off state when the pressure detection unit 31A detects the user's grip pressure on the wooden housing 13 based on the output data of the pressure sensor 44 when the power switch unit 32 is in the off state. switch to state.

[Main processing]
When the main processing routine is started, the pressure detector 31A acquires the output data of the pressure sensor 44 in step S401. Next, in step S402, the determination unit determines whether or not the user is holding the aspirator 1 (the wooden housing 13) based on the output data of the pressure sensor 44 acquired by the pressure detection unit 31A. do. If it is determined in this step that the user is holding the wooden casing 13, the process proceeds to step S203. On the other hand, if it is determined that the user is not holding the wooden casing 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 amount of mental perspiration Qs is measured when it is detected that the wooden casing 13 is held by the user. The mental perspiration amount Qs may be measured only after the continuation is detected. In this case, the determination unit 38 acquires the duration of the gripping state of the wooden housing 13 by the user from the timer unit 39, and when determining that the duration of the gripping state exceeds a predetermined threshold value, the perspiration measurement unit 33 may measure the amount of mental perspiration Qs. In addition, in the aspirator 1A according to the second embodiment, the feedback process executed after the main process routine ends is the same as that described in the first embodiment.

<Modification>
Next, a modified example will be described. FIG. 15 is a diagram illustrating an aspirator 1B according to a modification. As shown in FIG. 15 , in the suction device 1B according to the modification, the mouthpiece receiver 12 of the mouthpiece unit 10 is provided with a liquid holding concave portion 123 . Liquid perfume such as aroma oil can be dropped into the liquid holding concave portion 123 and held therein. According to this, the user can inhale the aroma component emitted from the liquid perfume held in the liquid holding concave portion 123 at the time of inhalation by the inhaler 1B, and a further relaxing feeling can be imparted.

In addition, the inhaler 1B accommodates a flavor generating source (for example, perfume, tobacco source) that releases a flavor component in the wooden housing 13, and when the user inhales the inhaler 1B, the flavor generating source The flavor component released from the mouthpiece 112 may be mixed with the air flowing through the air passage of the wooden casing 13 and supplied into the oral cavity from the mouthpiece hole 112 . In this case, for example, the inhaler 1B heats the flavor generating source (for example, flavor, tobacco source) housed in the housing portion in the wooden housing 13, and accelerates the release of the flavor component from the flavor generating source. It may have a heater (not shown). In this case, for example, the controller 30 of the inhaler 1B may heat the flavor generating source with a heater to prompt the release of the flavor component upon detection of the user's suction (puff) action. By doing so, it is possible to supply the flavor components emitted from the flavor generating source together with the inhaled air when inhaling with the inhaler 1B, thereby providing the user with a more relaxed feeling.

In the above embodiment, the air pressure acquisition unit 31, the pressure detection unit 31A, the power switch unit 32, the perspiration 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 timer unit 39 Processes described as operations may be performed by a computer. For example, a computer executes each of the above processes by executing a program using hardware resources such as a processor (CPU), memory, and input/output circuits. Specifically, each process is executed by the processor outputting data to be processed to a memory, an input/output circuit, or the like.

<Embodiment 3>
Next, the suction device 1 according to Embodiment 3 will be described. FIG. 16 is a block diagram of the suction device 1 according to Embodiment 3. FIG. The hardware configuration of the suction device 1 according to the third embodiment is the same as that of the suction device 1 according to the first embodiment. Below, it demonstrates centering on the part which is different from the suction device 1 in Embodiment 1 among the suction device 1 in Embodiment 3, and omits detailed description by attaching|subjecting the same reference numeral to the same element. The suction device 1 according to Embodiment 3 also includes a control unit 30 that controls the suction device 1 . The control unit 30 may be, for example, a microcomputer having a processor, memory, and the like.

As shown in FIG. 16, the control unit 30 includes an air pressure acquisition unit 31, a power switch unit 32, a perspiration amount measurement unit 33, a motor control unit 34, a setting unit 36, a light emission control unit 37, a determination unit 38, a timer unit 39, It has functional units such as a prediction unit 50 and a processing unit 51 . The control unit 30 also includes a storage unit 35 storing various programs to be executed by the processor of the control unit 30 . 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 functional unit described above is realized by a processor (CPU) provided in the control unit 30 operating according to a predetermined program. That is, the control unit 30 executes a program using hardware resources such as a processor (CPU), memory, and input/output circuits, thereby executing each process in each of the above functional units. Specifically, each processing in each functional unit is executed by the processor outputting data to be processed to a memory, an input/output circuit, or the like.

The storage unit 35 stores a minimum perspiration amount prediction model 351 and a maximum perspiration amount prediction model 352 that are used when the control unit 30 executes the main process of the stress degree analysis control. The details of the minimum perspiration amount prediction model 351 and the maximum perspiration amount prediction model 352 will be described later.

Next, stress degree analysis control in the suction device 1 according to the third embodiment will be described. In stress degree analysis control according to the present embodiment as well, the control unit 30 performs various processes such as power-on processing and main processing, as in the above-described embodiments.

FIG. 17 is a diagram exemplifying transition of the mental perspiration amount Qs of the user when the inhaler 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 perspiration Qs of the user. A section from time Ta to Tb is a power-on processing period (calibration period) ΔTk during which power-on processing is executed.

As in the first embodiment, the power-on process is started 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 switch unit 32 is switched from the off state to the on state at time Ta shown in FIG. Then, the user's mental perspiration amount Qs is measured every predetermined sampling period (here, 500 ms as an example). Although the power-on processing period ΔTk is not particularly limited, FIG. 17 shows the case where the power-on processing period ΔTk is set to 5 seconds. Note that the power switch unit 32 is turned off when the atmospheric pressure acquisition unit 31 detects the start of the user's first suction (puff) operation while the power switch unit 32 is in the off state. to the ON state.

In order to measure the user's mental perspiration quantity Qs, the perspiration measurement unit 33 issues a command to the power source 23 to supply power from the power source 23 to the electrodes 26 and 27 for measuring the mental perspiration quantity. The perspiration measurement unit 33 applies a weak perspiration measurement current from the mental perspiration measurement electrodes 26, 27 to the skin of the finger of the user holding the suction device 1, and the mental perspiration measurement electrodes 26, 27 Based on the output value corresponding to the skin conductance output from 27, the user's mental perspiration can be measured. During the power-on process, the amount of mental perspiration of the user acquired at each predetermined sampling period is stored in the storage unit 35 . The perspiration measurement unit 33 can measure the user's mental perspiration at predetermined sampling intervals by acquiring the elapsed time from the start of the power-on process from the timer 39 .

Here, the user's mental perspiration Qs shown in FIG. 17 is an output value corresponding to the skin conductance output by the electrodes 26 and 27 for measuring the mental perspiration. The unit of the amount of mental perspiration Qs shown in FIG. 17 is microsiemens [μS], which correlates with the reciprocal of electrical resistance. The output value [unit: μS] output by the electrodes 26 and 27 for measuring the amount of mental perspiration, and the amount of sweat per unit area of the skin per unit time [unit: mg/cm ² /min] is a function, and the amount of perspiration as the water content of perspiration can be uniquely obtained from the output values output from the electrodes 26 and 27 for measuring the amount of mental perspiration. Therefore, in the present specification, the "user's mental perspiration amount" is substantially equivalent in terms of [μS] and [mg/cm ² /min].

Here, at time Tb when the power-on processing period ΔTk has elapsed from the start of the power-on processing, the control section 30 ends the power-on processing. At that time, the control unit 30 accesses the storage unit 35 and stores the maximum value of the mental perspiration amount Qs of the user acquired during the power-on processing period ΔTk as the initial reference perspiration amount Qs#max in the storage unit 35. Memorize. Furthermore, the control unit 30 issues a suction start notification to prompt the user to start suctioning with the suction device 1 . For example, the motor control unit 34 of the control unit 30 supplies power from the power source 23 to the vibration motor 41 to operate (drive) the vibration motor 41 . By driving the vibration motor 41 to vibrate the wooden casing 13 and having the user perceive the vibration, the user can be notified of the start of suctioning. Further, the start notification may be made by light emission of the light emitting element 43 instead of or in combination with the notification by vibration of the wooden housing 13 . In this case, the light emission control unit 37 causes the light emitting element 43 to be supplied with power from the power supply 23, and causes the light emitting element 43 to emit light in a predetermined light emission pattern. In addition, in the power-on process, the control unit 30 performs the power-on process at each predetermined sampling period regardless of whether the user is in a sucking state in which the mouthpiece 11 is sucked or in a non-sucking state in which the user does not suck. A user's mental perspiration Qs is measured.

Here, the section from time Tb to Tc shown in FIG. 17 is a prediction feature quantity measurement period ΔTmp during which the control unit 30 executes the prediction feature quantity measurement process. At time Tc, which is the end of the prediction feature amount measurement period ΔTmp, the control unit 30 performs min-max prediction processing. Then, during the perspiration amount determination period ΔTmj corresponding to the section from time Tc to Td in FIG. Perspiration amount determination processing is performed to determine whether or not it has become. Details of the prediction feature amount measurement process, min-max prediction process, and perspiration amount determination process will be described later, but the main process includes these processes.

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

In addition, in the main process of the present embodiment, even if the user's mental perspiration amount Qs is maintained at or above the determination threshold in the perspiration amount determination process, the elapsed time T from the start of the main process (time Tb) When _i has passed a predetermined first time-out period, the main process (sweat amount determination process) is forcibly terminated as a time-out. Although the length of the first timeout period is not particularly limited, an example of 180 seconds will be described below. Here, if the power-on processing period ΔTk is 5 seconds, the feature amount measurement period ΔTmp for prediction is 100 seconds, and the first timeout period ΔTto is 185 seconds, the perspiration determination period ΔTmj is 80 seconds at maximum. Note that, in the present embodiment, the prediction feature amount measurement period ΔTmp is set as a period shorter than the first timeout period ΔTto. Further, the time Td at which the first timeout time ΔTto has passed from the time Tb at which the main processing (prediction feature amount measurement processing) is started (first timeout time) is the maximum (longest) time during which the main processing is continued. hereinafter referred to as "main processing continuation maximum period ΔTmax".

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

First, in the prediction feature amount measurement process in step S30, the control unit 30 performs the above-described prediction feature amount measurement period ΔTmp (100 seconds) at each predetermined sampling period (here, for example, 500 ms). , to measure the amount of mental perspiration Qs of the user. Regarding the measurement of the amount of mental perspiration Qs of the user, as in the power-on process, the perspiration measurement unit 33 of the control unit 30 issues a command to the power source 23 to cause the electrodes 26 and 27 for measuring the amount of mental perspiration to This is done by supplying power from the power source 23 and acquiring the output values output from the electrodes 26 and 27 for measuring the amount of mental perspiration. The perspiration measurement unit 33 acquires the elapsed time T _i from the start of the main processing (prediction feature amount measurement processing) from the timer 39, thereby measuring the amount of mental perspiration of the user at each predetermined sampling cycle. can be measured.

In addition, in the prediction feature amount measurement process, the determination unit 38 determines whether the user is currently sucking the mouthpiece 11 at each sampling period (here, 500 ms as an example), Only when the determination unit 38 determines that the suction operation is being performed, the perspiration amount measurement unit 33 measures the user's mental perspiration amount Qs. Here, the processing unit 51 is a functional unit that performs various processes on the measured value of the user's mental perspiration amount Qs measured in the stress degree analysis control. It should be noted that whether or not the user is currently performing a suction operation can be determined based on the detection result of the suction operation (puffing operation) by the atmospheric pressure acquisition unit 31 . Here, 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 standard sweating amount G#max acquired at the time of power-on processing. "corrected perspiration measurement G" (G =
Qs/G#max), and the calculated corrected perspiration measurement value G corresponds to the elapsed time T _i (i = 0, 0.5, 1.0, ... 99.5) from the start of the main processing The attached perspiration amount measurement data Dg is stored in the storage unit 35 . In addition, when calculating the corrected perspiration measurement values G _i (i = 0, 0.5, 1.0, ... 99.5), in order to smooth the time-series data of the measurement values of the user's mental perspiration Qs , moving average processing is performed on the measured value of the amount of mental perspiration Qs, and arithmetic processing is performed to divide the amount of mental perspiration Qs after the moving average processing by the initial reference amount of perspiration G#max, thereby obtaining a corrected measured amount of perspiration. You can ask for G.

Also, the subscript i above indicates the elapsed time from the start of the main processing. As described above, in the description here, the feature amount measurement period for prediction ΔTmp is set to 100 seconds, and the measurement cycle of the amount of mental perspiration is set to 500 ms. Elapsed time T _i (i=0, 0.5, 1.0
, 99.5) corresponding to 200 corrected perspiration measurements G _i (i = 0, 0.5, 1.0,
…99.5) are included. Further, the corrected perspiration measurement values included in the perspiration measurement data Dg are represented in an array as follows.
Dg=[ _G0 , _G0.5 , _G1.0 , ... _G99.5 ]
The value of the corrected perspiration amount measurement value G0 is set to ₁ at the start of the main processing (at the start of the prediction feature amount measurement processing).

Further, when the determination unit 38 determines that the user is not in the suction operation at each sampling time of the prediction feature amount measurement process, the perspiration amount measurement unit 33 does not measure the user's mental perspiration amount Qs. In this case, the processing unit 51 stores the corrected perspiration amount measurement value G at the time of the previous sampling as the corrected perspiration amount measurement value G at the time of the current sampling in the perspiration amount measurement data Dg. For example, when the non-sucking operation is in progress at the elapsed time _T5.0 from the start of the main processing, _G5.0 is stored in the perspiration measurement data Dg as the same value as _G4.5 corresponding to the elapsed time _T4.5 .

As described above, the amount of mental perspiration Qs of the user is measured only in the sucking operation state during the prediction feature amount measurement process. body motion artifacts can be reduced. Note that, as shown in FIG. 17, the user's mental perspiration amount Qs gradually decreases during the prediction feature amount measurement period ΔTmp in which the prediction feature amount measurement process of the main process is performed. As the user repeatedly performs the sucking action of the suction device 1, the user substantially repeats deep breathing, which leads to a decrease in the amount of mental perspiration Qs, which reflects the degree of stress of the user. It is based on

Here, when the prediction feature quantity measurement period ΔTmp (100 seconds) ends, the control unit 30 ends the prediction feature quantity measurement processing, and performs the min-max prediction processing in step S40 of FIG. In the min-max prediction process, the prediction unit 50 of the control unit 30 uses the corrected measured perspiration amount G _i (i=0, 0.5, 1.0, . . .
・99.5) and the elapsed time T _i (i=0, 0.5, 1.0, . Based on the minimum value prediction model 351 and the maximum perspiration amount prediction model 352, the minimum value at which the user's mental perspiration amount is the minimum and the maximum perspiration amount during the main processing continuation maximum period ΔTmax (180 seconds) are calculated. This is a process of predicting the maximum value of each.

The minimum perspiration amount prediction model 351 and the maximum perspiration amount prediction model 352 will be described. The minimum perspiration amount prediction model 351 is based on the transition of the user's mental perspiration amount that changes over time during the prediction feature amount measurement period ΔTmp (100 seconds), and the user's mental perspiration amount during the main processing continuation maximum period ΔTmax This is a prediction model that shows the relationship between the minimum amount of mental perspiration and the More specifically, the minimum perspiration amount prediction model 351 is obtained by having a plurality (a large number) of subjects use the inhaler 1 in advance, and performing stress degree analysis control (main processing). Plural (many) amounts of perspiration, which are data in which changes in the measured values of the amount of mental perspiration of the subject during the amount measurement period ΔTmp are associated with the minimum values of the measured amounts of the amount of mental perspiration of the subject during the maximum period of main processing continuation 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 value 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 relevance to

In addition, the maximum perspiration amount prediction model 352 predicts the transition of the user's mental perspiration amount that changes over time during the prediction feature measurement period ΔTmp (100 seconds), and the main processing continuation maximum period ΔTmax (180 seconds) It is a prediction model showing the relationship with the maximum value of the user's mental perspiration. More specifically, the maximum perspiration amount prediction model 352 uses the inhaler 1 in advance for a plurality (a large number) of subjects, and predictive features obtained by executing stress degree analysis control (main processing). Data in which changes in measured values of psychogenic perspiration amounts of a plurality (many) subjects during the amount measurement period ΔTmp are associated with the maximum values of the psychogenic perspiration amounts of a plurality (many) subjects during the maximum duration ΔTmax of the main processing. By machine learning using a certain plurality (a large number) of maximum perspiration amount learning data as teacher data, changes in the user's mental perspiration amount during the prediction feature value measurement period ΔTmp and the user during the main processing continuation maximum period ΔTmax It is a prediction model that has learned the relationship between the maximum amount of mental perspiration and

In this embodiment, the minimum perspiration amount prediction model 351 and the maximum perspiration amount 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 minimum perspiration amount prediction model 351 and the maximum perspiration amount prediction model 352 are not limited to LASSO, and non-linear models may be used.

In the min-max prediction process, the prediction unit 50 calculates the corrected measured perspiration amount G, which is an example of the psychological perspiration amount measured in the user over the prediction feature amount measurement period ΔTmp from the start of the main process. Using _i (i=0, 0.5, 1.0, . The minimum value of the user's mental perspiration amount and the maximum value of the user's mental perspiration amount are predicted. Hereinafter, the minimum value of the user's mental perspiration amount in the main processing continuation maximum period ΔTmax obtained by prediction using the minimum perspiration amount prediction model 351 in this manner is referred to as "minimum predicted value Gpmin". Further, the maximum value of the user's mental perspiration during the main processing continuation maximum period ΔTmax obtained by prediction using the maximum perspiration amount prediction model 352 is referred to as "maximum predicted value Gpmax".

The minimum perspiration amount prediction model 351 predicts the minimum predicted value Gpmin by the following equation (1).
Gpmin= _a0 *G0+a0.5* _G0.5 + _a1.0 * _G1.0 +...+ _a99.5 * _G99.5 (1) where _ai (i=0, _0.5 , _1.0 ,...99.5) is the feature weights for corrected perspiration measurements G _i (i=0, 0.5, 1.0, . . . 99.5).

The maximum perspiration amount prediction model 352 predicts the maximum predicted value Gpmax by the following equation (2).
Gpmax ₌ b0*G0+b0.5* _G0.5 + _b1.0 * _G1.0 +...+ _b99.5 * _G99.5 (2) where bi ( _i =0, _0.5 , _1.0 ,...99.5) is the characteristic weights for corrected perspiration measurements G _i (i=0, 0.5, 1.0, . . . 99.5).

In this way, the minimum predicted value Gpmin and the maximum predicted value Gpmin of the mental perspiration amount in the main processing continuation maximum period The predicted value Gpmax is stored in the storage section 35 . After completing the min-max prediction process, the control unit 30 proceeds to step S50 in FIG. 18 and executes the perspiration amount determination process.

In the present embodiment, as described above, the perspiration amount determination process is performed after the time Tc at which the prediction feature amount measurement period ΔTmp (100 seconds after the start of the main process) has elapsed, and at the maximum, the time Td ( 180 seconds after the start of the main processing). In other words, the perspiration amount determination process is started 100 seconds after the start of the main process, and is performed until 180 seconds at most after the start of the main process.

Specifically, in the perspiration determination process, the perspiration measurement unit 33 measures the user's mental perspiration Qs at predetermined sampling intervals. Here, an example will be described in which the sampling period for measuring the mental perspiration amount Qs of the user in the perspiration amount determination process is set to 500 ms, but the sampling period is not particularly limited. Note that the perspiration amount measuring unit 33 measures the elapsed time T _i (i=0
, 0.5, 1.0, .

In the perspiration amount determination process, the measurement value of the user's mental perspiration amount Qs measured by the perspiration amount measurement unit 33 is corrected by the processing unit 51 . Specifically, the processing unit 51 performs a correction process of dividing the measured value of the mental perspiration amount Qs by the initial standard perspiration amount G#max obtained at the time of power-on processing, thereby calculating the corrected perspiration amount measurement value G. . Further, the processing unit 51 performs scaling processing on the calculated corrected perspiration 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 using 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 greater 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.

When performing the min-max scaling process, the processing unit 51 substitutes the corrected perspiration measurement value G _i (i=100, 100.5, 101, . . . 180) into the following equation (3), Scaled measured perspiration Gt _i after min-max scaling (i = 100, 100.5, 101
, ... 180) are calculated.
Gt _i = (G _i - Gpmin) / (Gpmax - Gpmin) Equation (3)

The scaled perspiration measurement value Gt _{i calculated by the processing unit 51 is compared with the determination threshold value set by the setting unit 36, and if the scaled perspiration amount measurement value Gt i is} less than the determination threshold value, it is used. It is judged that the state of the person has shifted to a low stress state. Here, the setting unit 36 sets the threshold for determination within a range between the first value (minimum predicted value Gpmin) and the second value (maximum predicted value Gpmax). As described above, in the present embodiment, the first value (minimum predicted value Gpmin) is 0, the second value (maximum predicted value Gpmax) is 1, and the user's mentality measured during the perspiration determination period ΔTmj A scaling process is performed on the measured value of the amount of perspiration (specifically, the corrected perspiration amount measurement value G). Therefore, the setting unit 36 sets the determination threshold to a value of 0 or more and 1 or less.

In the perspiration amount determination process, the determination unit 38 converts the scaled perspiration amount measurement value Gt _i acquired at each predetermined sampling period (in this example, 500 ms) during the perspiration amount determination period ΔTmj to It is determined whether the scaled perspiration measurement Gt _i is less than the determination threshold by comparison with the threshold. and the scaled perspiration measurement Gt _i
is less than the determination threshold value, the main processing is terminated, and the user is notified (reported) of the completion of stress relief.

On the other hand, in the perspiration amount determination process, even if the scaled perspiration amount measurement value Gt _i has not decreased to the threshold value for determination, the elapsed time from the start of the main process has passed the preset first timeout time ΔTto. , the controller 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 clock unit 39 . Then, the determination unit 38 determines whether or not the acquired elapsed time has exceeded a 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 changeable by the user.

The stress relief completion notification is a notification for notifying the user that the tension in the user's sympathetic nervous system has been relaxed and the stress has been sufficiently relieved. As in the first embodiment, the stress relief completion notification is given by the light emission control unit 37 controlling the power supply from the power source 23 to the light emitting element 43, causing the light emitting element 43 to emit light in a predetermined light emission pattern. may be notified to

Here, FIG. 19 is a flowchart showing the details of the perspiration amount determination process in the main process according to the third embodiment. In step S501 shown in FIG. 19, the perspiration measurement unit 33 determines whether it is now time to measure the mental perspiration Qs of the user. The perspiration measurement unit 33 acquires the elapsed time from the start of the main processing (prediction feature amount measurement processing) from the timer unit 39, thereby measuring the user's mental perspiration at predetermined sampling intervals. can do. If it is determined in step S501 that it is the measurement timing, the process proceeds to step S502, and if it is determined that it is not the measurement timing, the process returns to step S501.

In step S<b>502 , the determination unit 38 determines whether or not the user is currently performing a 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 performing a suction operation, the process proceeds to step S503, and if it is determined that the user is not currently performing a suction operation, the process returns to step S501.

In step S503, the perspiration measurement unit 33 measures the mental perspiration 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 standard sweating amount G#max, thereby obtaining a corrected measured sweating amount G Calculate Here, when calculating the corrected measured value G of the amount of perspiration G, in order to smooth the time-series data of the measured value of the amount of mental perspiration Qs of the user, The corrected perspiration measurement value G may be obtained by dividing the mental perspiration Qs after the moving average processing by the initial reference perspiration 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, sets the maximum predicted value Gpmax as a second value, and sets the corrected perspiration amount measured value G is subjected to min-max scaling processing to calculate a scaled perspiration measurement value Gt. The scaled sweat 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 perspiration amount measurement value Gt is less than the threshold for determination. If it is determined in step S506 that the scaled measured perspiration amount Gt is less than the determination threshold, the process proceeds to step S507. If it is determined that the scaled perspiration amount Gt is equal to or greater than the determination threshold , the process proceeds to step S509.

In step S<b>507 , the light emission control unit 37 notifies (reports) a stress relief completion notification to the user. For example, the light emission control unit 37 performs control to supply power from the power source 23 to the light emitting element 43, and notifies the user of the completion of stress relief by causing the light emitting element 43 to emit light in a predetermined light emission pattern. After the process of step S507 is completed, the process proceeds to step S508.

In step S<b>508 , the motor control unit 34 causes the vibration motor 41 to supply power from the power supply 23 to operate (drive) the vibration motor 41 , thereby executing the awakening process. The awakening process is a process of increasing the user's awakening level by giving the user a vibration stimulus (minor stress) of the wooden housing 13 caused by driving the vibration motor 41 . By executing the awakening process for increasing the awakening level, the user can be awakened in a state in which the user's consciousness is refreshed rather than in a dim state.

The driving 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 intermittently driven. For example, the vibration time for driving the vibration motor 41 and the pause time for stopping the driving may be repeated for a plurality of cycles. In that case, the vibration time and rest time of the vibration motor 41 may be changed for each cycle. For example, the vibration time and rest time of the vibration motor 41 in the first cycle of the awakening process may be set to 200 ms each, and the vibration time and rest time may be shortened by 20 ms from the second cycle onward. In the wake-up process, the wake-up process is completed when a predetermined number of cycles is completed, or when a certain time has passed since the start of the wake-up process, and the control routine shown in FIG. 19 ends. Also in the present embodiment, as in the first embodiment, the user's arousal level may be increased by using a technique other than vibration stimulation in the arousal process. For example, the user may be awakened by causing the light emitting element 43 to emit light.

Also, the wake-up process may have a different pattern depending on the remaining amount of the battery 230, thereby serving as an alert function of the remaining battery amount. For example, in the wake-up process when the battery 230 has a sufficient remaining amount, the light-emitting element 43 is lit in a predetermined first color (for example, blue) and the vibration motor 41 is operated in a predetermined vibration pattern (for example, "200 ms vibration + 200 ms vibration"). After several cycles (for example, 4 cycles) of "Pause", the operation of the vibration motor 41 may be terminated and the light emitting element 43 may be turned off at the same time. , while the light emitting element 43 is illuminated in a predetermined second color (eg, red), the vibration motor 41 is operated in a predetermined vibration pattern (eg, “200 ms vibration + 200 ms rest”) for several cycles (eg, 5 cycles). Alternatively, the light emitting element 43 may be extinguished at the same time as the operation of the vibration motor 41 is terminated, and the above pattern is an example and may be changed as appropriate.

Further, in step S506 of the perspiration amount determination process, if it is determined that the scaled perspiration amount measurement value Gt is equal to or greater than the determination threshold value, and the process proceeds to step S509, the determination unit 38 determines that at the start of the main process It is determined whether or not the elapsed time Ti from (time Tb shown in FIG. 17) has passed a predetermined first timeout time _ΔTto . In this control example, the first timeout period ΔTto is set to 180 seconds, but the setting of the first timeout period ΔTto may be changed by the user. The determination unit 38 can acquire the elapsed time T _i from the start of the main processing from the clock unit 39 .

If it is determined in step S509 that the elapsed time Ti from the start of the main process has not passed the first timeout time _ΔTto , the process returns to step S501, and the processes of steps S501 to S506 are repeated. If it is determined in step S509 that the elapsed time T _i from the start of the main processing has passed the first timeout time ΔTto, the process proceeds to step S510, where a timeout is generated to notify the user of the timeout. Notification 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, thereby giving the time-out notification. When execution of the timeout notification ends, the control routine shown in FIG. 19 ends.

As described above, according to the stress level analysis control of the present embodiment, the psychological perspiration amount of the user measured over time during the prediction feature amount measurement period ΔTmp set as a period shorter than the maximum duration ΔTmax of the main processing. It is possible to predict the minimum and maximum values of the user's mental perspiration that will change from moment to moment in the future based on the historical transition, the minimum perspiration amount prediction model 351, and the maximum perspiration amount prediction model 352. can. Then, using the minimum and maximum values of the user's mental sweating amount predicted based on the prediction model, the user's mental sweating is measured during 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 variation characteristics of the amount of mental perspiration vary greatly for each user, the range of variation of the scaled measured amount of perspiration Gt acquired during the perspiration amount determination period ΔTmj can be reduced to some extent. It can be kept within a small range. According to the stress level analysis control of the present embodiment, by adopting the algorithm that reduces individual differences in the fluctuation characteristics of the amount of mental perspiration as described above, the determination threshold used in the amount of perspiration determination process is set to a fixed value. Even in such a case, the percentage of cases in which the timeout notification is notified becomes excessively high, and conversely, the percentage of cases in which the stress relief completion notification is notified immediately after the sweat amount determination process is started becomes excessively high. can be suppressed, and the aspirator 1 with excellent usability can be realized.

FIG. 20 is a diagram showing the temporal transition of the scaled perspiration amount measurement value Gt when stress level analysis control is performed on a plurality of users (subjects) using the inhaler 1. In FIG. FIG. 21 is a diagram showing, for comparison, the temporal transition of the corrected perspiration amount measurement value G when the stress degree analysis control is performed on a plurality of users (subjects) using the inhaler 1 . The corrected measured perspiration amount G in FIG. 21 is a value obtained by dividing the measured value of the user's mental perspiration amount by the initial standard perspiration amount G#max. Scaling processing using the minimum and maximum values of the amount of mental perspiration predicted based on the model 352 is not performed. Note that the scaled perspiration measurement value Gt shown in FIG. 20 and the corrected perspiration measurement value G shown in FIG. It is what I did.

As is clear from a comparison of FIGS. 20 and 21, the transition of the corrected measured perspiration G obtained by dividing the measured value of the mental perspiration by the initial reference perspiration G#max does not change until the main processing is started. When the elapsed times from 1 to 2 are the same, there is a relatively large variation among subjects (individual differences) (see FIG. 21). On the other hand, the scaled perspiration measurement value Gt shown in FIG. It can be seen that it is smaller than the value G.

In the corrected perspiration measurement value G in FIG. 21, the variation due to individual differences is greater than when the scaled perspiration measurement value Gt is used for evaluation. If this happens, most of the subjects tend to time out, or conversely, it tends to be determined that they are in a low stress state immediately after the perspiration amount determination process is started while the number of times of suctioning is low. For example, if the determination threshold value related to the perspiration amount determination process is set to about 0.6 using the corrected perspiration amount measurement value G in FIG. If it is increased to about 9, many subjects will be under low stress immediately after starting the perspiration amount determination process even though the mental perspiration amount is actually reduced by only 10% from the initial standard perspiration amount G#max. It tends to be easy to be judged as a state.

On the other hand, when the perspiration amount determination process is performed using the scaled perspiration amount measurement value Gt shown in FIG. The subject does not time out, and the scaled sweat amount measurement value Gt does not fall below the determination threshold (here, 0.2) immediately after entering the sweat amount determination period ΔTmj. The stress relief completion notification is sent after the stress is actually relieved through the suction operation. That is, according to the stress degree analysis control of the present embodiment, even if the fluctuation characteristics of the amount of mental perspiration varied from user to user, the majority of users did not experience time-out, and the stress was actually relieved. It can be seen that the user can be notified of the stress relief completion notification in the state, and the usability is very excellent.

Note that the control unit 30 of the suction device 1 according to the third embodiment stores (memorizes) in the storage unit 35 based on the measured value of the user's mental perspiration measured during the stress degree analysis control by the control unit 30. A learning processing unit that updates the existing minimum perspiration amount prediction model 351 and maximum perspiration amount prediction model 352 may be provided. That is, the learning processing unit calculates the transition of the measured value of the user's mental perspiration amount during the prediction feature value measurement period ΔTmp obtained when the user uses the inhaler 1, and the main processing continuation maximum period ΔTmax The user's mental perspiration amount during the prediction feature measurement period ΔTmp by machine learning using the data for learning the minimum amount of perspiration associated with the minimum value of the measured value of the user's mental perspiration amount in and the minimum value of the user's mental perspiration during the maximum period of continuation of main processing _ΔTmax . Value prediction model 351 may be updated.

Similarly, the learning processing unit obtains when the user uses the inhaler 1, changes in the measured value of the user's mental perspiration amount during the prediction feature value measurement period ΔTmp, and the maximum period of main processing continuation The user's mental perspiration during the prediction feature measurement period ΔTmp is determined by machine learning using data for learning the maximum amount of perspiration associated with the maximum measured value of the user's mental perspiration during ΔTmax as training data. By learning (training) the relationship between the change in amount and the maximum value of the user's mental perspiration during the maximum period of continuation of main processing ΔTmax, the coefficient of the weight b _i in equation (2) is corrected, and the amount of perspiration Maximum value prediction model 352 may be updated.

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

Further, in the stress level analysis control in the third embodiment, the measured value of the user's mental sweating amount (specifically, the corrected sweating amount measurement value G) measured during the sweating amount determination period ΔTmj is predicted. The minimum predicted value Gpmin predicted by the 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 ("1" in the above example). ”), the threshold value for determination is set within the range of the first value or more and the second value or less. do not have.

For example, when the min-max scaling process is not performed on the measured value of the user's mental perspiration amount measured during the perspiration amount determination period ΔTmj, the setting unit 36 sets the maximum The determination threshold may be set within a range equal to or less than the predicted value Gpmax. In this case, the units for the amount of mental perspiration and the determination threshold are 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], the determination The threshold may be set within a range of 0.6 [μS] or more and 2.5 [μS] or less. For example, the determination threshold may be set to the average value of the minimum predicted value Gpmin and the maximum predicted value Gpmax. According to the stress level analysis control of the present embodiment, the determination threshold value is set within the range of the minimum predicted value Gpmin or more and the maximum predicted value Gpmax or less predicted by the prediction unit 50. It is possible to set the determination threshold to an appropriate value without being greatly affected by the variation in the fluctuation characteristics of .

Furthermore, according to the stress degree analysis control according to the present embodiment, the measured value of the user's mental sweating amount measured during the sweating amount determination period ΔTmj is subjected to min-max scaling processing. It is possible to further reduce the influence of variations in the fluctuation characteristics of the amount of mental sweat per day, and to provide the inhaler 1 with excellent usability.

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

Also, the program for executing each of the processes described above may be recorded on a computer-readable recording medium. For the recording medium recording the program, the above processing can be performed by causing a computer to read and execute the program of the recording medium.

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

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

Although the present invention has been described with 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 aspirator may include a hardware switch such as a push button capable of accepting a user's operation for switching on and off of the power switch section 32 . Moreover, each embodiment and modification which were mentioned above can be combined suitably, and can be implemented.

Reference Signs List 1 Suction device 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 Mental perspiration measurement electrode 30 Control unit 31 Atmospheric pressure acquisition unit 32 Power switch unit 33 Perspiration measurement unit 34 Motor control unit 35 Storage unit 36 Setting unit 37 Light emission control unit 38 Judgment unit 39 Clock unit 40 Atmospheric pressure sensor 41 Vibration motor 43・Light emitting element

Claims (7)

a housing;
a flavor generating source that is provided in the housing and releases a flavor component;
a mouthpiece unit provided in the housing and having a mouthpiece for supplying the flavor component released from the flavor generation source into the oral cavity of the user when the user inhales ;
a power supply provided within the housing;
An electrode that is provided on the housing so as to be exposed to the outside and outputs a response value corresponding to skin conductance when a weak current supplied by the power supply is applied to the user's skin ;
an air pressure sensor provided in the housing;
A user's sucking action of the mouthpiece is detected based on the pressure information related to the pressure inside the housing output from the barometric pressure sensor, and the measurement is performed using the electrodes during the user's sucking action of the mouthpiece . a control unit that executes stress degree analysis control for analyzing the stress degree of the user based on the measurement results ;
comprising
aspirator. The aspirator according to claim 1, wherein the control unit notifies the user of the result of the stress degree analysis control. The suction device according to claim 1 or 2, wherein the control unit executes the stress level analysis control only while the user is sucking the mouthpiece. 4. The control unit according to any one of claims 1 to 3, wherein the control unit includes a processor and a storage unit, and the stress degree analysis control is performed by the processor executing a program stored in the storage unit. Aspirator as described. A pair of the electrodes are provided on the housing, and are provided at two predetermined locations where two different regions of the palm of the user who grips the housing touch when the user grips the housing. placed,
5. Aspirator according to any one of claims 1-4 . The pair of electrodes are arranged at two predetermined locations where the index finger and the middle finger of the user who grips the housing touch when the user grips the housing.
Aspirator according to claim 5 . The pair of electrodes are arranged at two predetermined locations where the palm sole and the ball of the finger of the user who grips the housing touch when the user grips the housing.
Aspirator according to claim 5.

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