Patent Application
20220338785
The present disclosure relates to an information processing apparatus, an information processing system, and a non-transitory computer readable medium.
There are techniques for sensing biological information such as brain waves. For example, Japanese Unexamined Patent Application Publication No. 08-215164 discloses a technique for removing noise from a brain wave signal and shaping the waveform of the brain wave signal.
Since biological information differs in individuals, it is necessary that biological information be calibrated for each individual user when the biological information is used. However, a need for a user to perform calibration even though no problem occurs if no calibration is performed would impose a load on the user.
Aspects of non-limiting embodiments of the present disclosure relate to a technique for appropriately calibrating biological information in accordance with the wishes of a user.
Aspects of certain non-limiting embodiments of the present disclosure overcome the above disadvantages and/or other disadvantages not described above. However, aspects of the non-limiting embodiments are not required to overcome the disadvantages described above, and aspects of the non-limiting embodiments of the present disclosure may not overcome any of the disadvantages described above.
According to an aspect of the present disclosure, there is provided an information processing apparatus including a selection unit. The selection unit selects whether to calibrate biological information of a user in accordance with designation by the user. When the selection unit selects no calibration in accordance with designation by the user, the biological information is associated with a specific state of the user under a predetermined condition.
An exemplary embodiment of the present disclosure will be described in detail based on the following figures, wherein:
The following describes an exemplary embodiment of the present disclosure in detail with reference to the accompanying drawings.
Overall System Configuration
First, an overall configuration of a brain wave measurement system 1 according to this exemplary embodiment will be described.
As illustrated in
For example, the brain wave measurement device 2 has an earphone (or headphone) shape and is mounted on the head of the user whose brain waves are to be measured. In the illustrated example, the brain wave measurement device 2 includes a headband 2a and ear pads 2b. The headband 2a supports the brain wave measurement device 2 when worn on the head of the user. The ear pads 2b cover the ears of the user. The headband 2a and the ear pads 2b are an example of a contact unit that keeps the brain wave measurement device 2 in contact with the user in such a manner that the user wearing the brain wave measurement device 2 is movable.
The brain wave measurement device 2 transmits information on the measured brain waves to the user terminal 3 via wireless communication. The brain waves are measured as potential information detected by electrodes 21 described below (see
The user terminal 3 is a terminal apparatus that accepts an operation performed by the user. Examples of the user terminal 3 include portable information terminals such as a tablet computer and a smartphone. The user terminal 3 receives brain wave information of the user from the brain wave measurement device 2. Then, the user terminal 3 performs a process for associating the received brain wave information with a specific state of the user.
More specifically, a reference for associating the brain wave information received from the brain wave measurement device 2 with a specific state of the user is set in the user terminal 3. This reference is a reference of brain waves and is hereinafter referred to as reference brain waves. The specific state is, for example, a specific feeling experienced by the user. Specific examples of the specific state include a state in which the user is under normal conditions (hereinafter referred to as a “normal state”), a state in which the user is relaxed (hereinafter referred to as a “relaxed state”), and a state in which the user is concentrated (hereinafter referred to as a “concentrated state”). Reference brain waves are set for each of the multiple specific states.
The user terminal 3 compares the received brain wave information with reference brain waves that are set for each specific state and determines in which state the user is (i.e., in which state among the normal state, the relaxed state, and the concentrated state the user is). Upon determining the state of the user, the user terminal 3 displays a determination result on a display or the like of the user terminal 3 to present the determination result to the user. Further, the user terminal 3 transmits music data to the brain wave measurement device 2 on the basis of the determination result.
Further, the user terminal 3 performs a process for calibrating reference brain waves. Note that since biological information such as brain waves differs in individuals, it is necessary that biological information be calibrated for each individual user when the biological information is used. Additionally, the patterns of brain waves of each user may change in accordance with where the brain wave measurement device 2 is worn, the environment experienced by the user, or any other factor.
Accordingly, the user operates the user terminal 3 to calibrate reference brain waves. More specifically, the user follows instructions given on the screen of the user terminal 3 to calibrate reference brain waves.
A need for the user to calibrate reference brain waves even though no problem occurs if no calibration is performed would impose a load on the user. To reduce the load, the user terminal 3 inquires of the user whether to calibrate reference brain waves. When the user designates calibration, the user terminal 3 performs the calibration; when the user designates no calibration (or when the user does designate calibration), the user terminal 3 does not perform the calibration.
Examples of the normal state of the user, described above, include the calm state of mind experienced by the user. The calm state of mind experienced by the user is a state of mind causing no fluctuations of emotions. Specific examples of the calm state of mind experienced by the user include a state in which the user is at rest with the eyes open (a state in which the user is not moving and is kept calm). Other examples of the calm state of mind experienced by the user may include a state in which the user is at rest with the eyes closed.
In this exemplary embodiment, examples of the specific state of the user are not limited to the normal state, the relaxed state, and the concentrated state described above. Calmness, relaxation, and concentration are examples of a specific feeling experienced by the user. Other examples of the specific feeling experienced by the user include happiness, sadness, anger, fear, and surprise.
The specific state of the user may be a state not related to emotions of the user. Examples of such a specific state of the user include the state of fatigue, the state of hunger, and the state of drowsiness of the user.
In this exemplary embodiment, furthermore, brain waves are used as a non-limiting example of biological information. This exemplary embodiment may be applicable to any other biological information. Biological information is information generated from a living body such as the body of a human or any other animal. This exemplary embodiment is applicable to information that is biological information and that is associable with a specific state of a living body. Examples of the biological information to which this exemplary embodiment is applicable, other than brain waves, include vein (blood flow), heart rate, facial expression, pulse waves, voiceprint, sweat, action potentials (muscle currents or bioelectric currents), electrocardiogram, and blood pressure.
Configuration of Brain Wave Measurement Device
The configuration of the brain wave measurement device 2 will now be described.
The electrodes 21 detect potential information of brain waves. For example, the electrodes 21 are disposed at a plurality of positions at which brain waves of the user wearing the brain wave measurement device 2 are easily measured.
For example, the brain wave measurement unit 22 amplifies potential differences between two of the electrodes 21 and measures the potential differences as brain waves. The brain waves measured by the brain wave measurement unit 22 are output to the brain wave processing unit 23. In this exemplary embodiment, brain waves are measured using a non-specific method and may be measured using an existing method.
The brain wave processing unit 23 performs a predetermined process on the brain waves output from the brain wave measurement unit 22. Examples of the predetermined process include various processes such as a process for removing noise from a brain wave signal and shaping a waveform and a process for further amplifying the brain wave signal. The brain waves processed by the brain wave processing unit 23 are output to the brain wave transmission unit 25. The brain waves measured by the brain wave measurement unit 22 may be output directly to the brain wave transmission unit 25 without being processed by the brain wave processing unit 23.
The signal check function execution unit 24 executes a signal check function when, for example, the brain wave measurement device 2 is started or before reference brain waves are calibrated. The signal check function is performed in order to determine whether brain waves are measurable, or, in other words, in order to determine whether the brain wave measurement unit 22 is capable of correctly measuring brain waves. Note that the signal check function is not intended to regulate differences between users, as in the calibration of reference brain waves, but is intended to examine and regulate an error caused by the device (the brain wave measurement device 2) due to a loose connection, malfunctioning of the device, or any other factor.
The brain wave transmission unit 25 transmits brain wave information output from the brain wave processing unit 23 to the user terminal 3.
The sound output unit 26 outputs sound to the outside. For example, the sound output unit 26 emits music to the user on the basis of music data received from the user terminal 3.
Hardware Configuration of User Terminal
The hardware configuration of the user terminal 3 will now be described.
The user terminal 3 includes a central processing unit (CPU) 31, a read only memory (ROM) 32, and a random access memory (RAM) 33. The CPU 31 executes firmware or an application program to provide various functions. The ROM 32 is a storage area that stores firmware or a basic input output system (BIOS). The RAM 33 is an area where the program is executed.
The user terminal 3 further includes a non-volatile storage device 34, a communication interface (communication IF) 35, an input device 36 such as a touch panel, a display device 37, and an imaging camera 38. The storage device 34 stores downloaded application program and so on. The communication IF 35 is used for external communication. The display device 37 includes a display and so on to be used to display information. The storage device 34 is implemented as, for example, a semiconductor memory.
The CPU 31 is connected to the various devices via a bus 39.
Functional Configuration of User Terminal
The functional configuration of the user terminal 3 will now be described.
The operation acceptance unit 301 accepts an operation performed by the user. For example, the operation acceptance unit 301 accepts an operation of designating calibration of reference brain waves. Further, for example, the operation acceptance unit 301 accepts an operation of calibrating reference brain waves.
The brain wave information acquisition unit 303 is an example of an acquisition unit. The brain wave information acquisition unit 303 acquires, from the brain wave measurement device 2, brain wave information indicating brain waves of the user, which are measured by the brain wave measurement device 2.
The state association unit 304 is an example of an association unit. The state association unit 304 performs a process for associating the brain wave information acquired by the brain wave information acquisition unit 303 with a specific state of the user. Here, the state association unit 304 compares the brain wave information acquired by the brain wave information acquisition unit 303 with reference brain waves that are set for each specific state and determines in which state the user is. Then, the state association unit 304 transmits music data to the brain wave measurement device 2 on the basis of an association result obtained by the state association unit 304 (i.e., a determination result indicating in which state the user is)
More specifically, for example, upon determining that the user is in the relaxed state, the state association unit 304 transmits data of music presumably having a relaxing effect to the brain wave measurement device 2 via wireless communication in order to keep the user in the relaxed state (or in order to further relax the user).
The display control unit 302 is an example of a guide unit. The display control unit 302 generates a control signal for controlling the display of the display device 37 and controls the display of the display device 37.
For example, the display control unit 302 displays an association result obtained by the state association unit 304 (a determination result indicating in which state the user is).
Further, for example, the display control unit 302 displays a screen for inquiring whether to perform calibration (hereinafter referred to as an “inquiry screen”). The inquiry screen is displayed when a predetermined condition is satisfied.
The predetermined condition is satisfied when, for example, calibration is estimated to be required. Specifically, for example, when the brain wave measurement device 2 is started or when an application program for brain wave measurement is started, the predetermined condition is satisfied. Also, for example, when an association process performed by the state association unit 304 fails or when a certain period (e.g., one month) has elapsed since the last time calibration was performed, the predetermined condition is satisfied. For example, the display of the inquiry screen may be triggered by an instruction given by the user.
Before the inquiry screen is displayed, a signal check function is executed. After the signal check function determines that no error has occurred, or, in other words, after it is confirmed that the brain wave information acquisition unit 303 correctly acquires brain wave information, the inquiry screen is displayed.
For example, when calibration is to be performed, the display control unit 302 displays an operation screen for calibrating reference brain waves.
The operation screen for calibrating reference brain waves includes a screen for guiding the user to a specific state (hereinafter referred to as a guide screen”), which will be described in detail below. The display control unit 302 displays the guide screen on the display device 37 to guide the user to a specific state (e.g., the normal state, the relaxed state, or the concentrated state).
The operation screen for calibrating reference brain waves also includes a screen for providing questions to the user (hereinafter referred to as a question screen”). The question screen includes questions for items that affect the acquisition of brain waves (items estimated to affect the acquisition of brain waves) Examples of the questions include a question about personal characteristics such as a skin type, and a question about the situation of use of the brain wave measurement device 2 (or the user terminal 3). In other words, for example, the question screen includes at least one of a question about personal characteristics and a question about the situation of use.
The reference brain wave calibration unit 305 is an example of a selection unit and a calibration unit. The reference brain wave calibration unit 305 selects whether to calibrate reference brain waves on the basis of the designation of the user on the inquiry screen.
If no calibration is designated (i.e., if calibration is not designated) on the inquiry screen, the reference brain wave calibration unit 305 selects no calibration. In this case, reference brain waves are not calibrated. Then, the state association unit 304 performs association by using reference brain waves that are set in previous calibration or by using preset values. The preset values are initial values determined in advance as values common to all users. In this exemplary embodiment, reference brain waves that are set in previous calibration or preset values are used as an example of a predetermined condition for association of biological information.”
If calibration is designated on the inquiry screen, in contrast, the reference brain wave calibration unit 305 selects calibration. The following two procedures are available for calibration.
The first procedure is to display a guide screen. In this calibration, the reference brain wave calibration unit 305 calibrates reference brain waves by utilizing guiding the user. More specifically, the reference brain wave calibration unit 305 calibrates reference brain waves by using brain wave information acquired from the user who is guided to a specific state on the guide screen. This procedure is hereinafter referred to as a first calibration procedure.
The second procedure is to display a question screen. In this calibration, the reference brain wave calibration unit 305 calibrates reference brain waves by utilizing a response to a question provided to the user. More specifically, the reference brain wave calibration unit 305 selects a fixed value corresponding to a response made by the user to a question from among a plurality of predetermined fixed values and calibrates reference brain waves. This procedure is hereinafter referred to as a second calibration procedure.
The reference brain wave storage unit 306 stores reference brain waves that are set for each specific state of the user. The stored reference brain waves are reference brain waves calibrated by the reference brain wave calibration unit 305. For example, preset values are stored.
The functional units included in the user terminal 3 illustrated in
Description of Brain Waves
Brain waves that are measured by the brain wave measurement device 2 will now be described.
Focusing on brain wave frequencies, brain waves are typically categorized into five components, namely, gamma (γ) waves, beta (β) waves, alpha (α) waves, theta (θ) waves, and delta (δ) waves.
The γ waves are oscillations with frequencies greater than or equal to 30 Hz and are said to appear in highly anxious or excited conditions.
The β waves are oscillations with frequencies in a range of 30 to 13 Hz and are said to appear in nervous conditions or under stress.
The α waves are oscillations with frequencies in a range of 13 to 8 Hz and are said to appear in calm (relaxed) conditions or with eyes closed.
The θ waves are oscillations with frequencies in a range of 8 to 4 Hz and are said to appear in deeply relaxed conditions or in sleeping states.
The δ waves are oscillations with frequencies less than 4 Hz and are said to appear during deep sleep or coma.
In actuality, these five components are combined to form a brain wave pattern. In some cases, the γ waves are identified as the β waves.
In the description given herein, brain waves are categorized into five (or four) components on the basis of brain wave frequencies. However, this categorization is an example. In this exemplary embodiment, brain waves may not necessarily be categorized in the way described above, and any other standard may be used to categorize brain waves into components.
Description of Signal Check Function
The signal check function will now be described.
First, examination of the item for the flatness of the brain wave signal will be described. In this case, whether an error has occurred is determined by using a threshold, examples of which include a threshold on the amplitude (threshold 1) and a threshold on the number of waves (threshold 2). For example, if the number of amplitudes exceeding the threshold 1 is smaller than the threshold 2 in brain waves for a certain period of time, the brain waves are excessively flat and an error occurs. For example, in the brain waves illustrated in
Next, examination of the item for the magnitude of the amplitude of the brain wave signal will be described. In this case, whether an error has occurred is determined by using a threshold, examples of which include a threshold indicating the upper limit of amplitude (threshold 3). For example, if brain waves for a certain period of time have an amplitude exceeding the threshold 3, the amplitude is excessively large and an error occurs. For example, in the brain waves illustrated in
Next, examination of the item for the ratio of frequencies in the brain wave signal will now be described, In this case, whether an error has occurred is determined by using a threshold, examples of which include a threshold on steepness (threshold 4). Then, for example, the frequency component (in hertz) and the amplitude component (in decibels) are extracted from brain waves for a certain period of time. If the steepness exceeds the threshold 4, an error occurs. For example, in the brain waves illustrated in
The signal check function may be performed on brain waves including a combination of the five components or may be performed on one or more of the five components.
In the way described above, the signal check function execution unit 24 compares brain wave information measured from the user with the thresholds for the various items and determines whether an error has occurred. If an error has occurred, it is determined that the brain wave measurement unit 22 fails to measure brain waves correctly. Then, the signal check function execution unit 24 notifies the user terminal 3 that an error has occurred, or, in other words, that the correct measurement of brain waves by the brain wave measurement unit 22 is not confirmed. As a result, the display control unit 302 of the user terminal 3 displays a message provided from the signal check function execution unit 24 (or a notification indicating that the acquisition of brain waves by the brain wave information acquisition unit 303 is not confirmed) on the display device 37 and provides a notification to the user.
The thresholds for the various items are determined in advance as initial values or are determined as values that can be set or changed by the user.
The items for the signal check function are not limited to the items described above for parameters of a brain wave signal. For example, the signal check function execution unit 24 may check the magnitude of the resistance of the electrodes 21. In this case, the signal check function execution unit 24 determines that an error has occurred when, for example, the magnitude of the resistance is larger than a predetermined upper limit or when the magnitude of the resistance is smaller than a predetermined lower limit.
Calibration Selection Process
A procedure of a process for selecting calibration of reference brain waves will now be described.
For example, when the brain wave measurement device 2 is started or when the application program for brain wave measurement is started, the display control unit 302 displays an inquiry screen (step S101). Then, the reference brain wave calibration unit 305 determines whether the user has designated calibration on the inquiry screen (step S102).
If an affirmative determination (YES) is made in step S102, the reference brain wave calibration unit 305 selects calibration. Then, the reference brain wave calibration unit 305 determines whether the first calibration procedure has been designated among the first calibration procedure and the second calibration procedure (step S103).
If an affirmative determination (YES) is made in step S103, the reference brain wave calibration unit 305 selects calibration using the first calibration procedure (step S104). Then, the process flow ends. If a negative determination (NO) is made in step S103, the reference brain wave calibration unit 305 selects calibration using the second calibration procedure (step S105). Then, the process flow ends.
If a negative determination (NO) is made in step S102, the reference brain wave calibration unit 305 selects no calibration (step S106). In this case, the calibration is not performed. Subsequently, the state association unit 304 performs an association process by using reference brain waves set in previous calibration or by using preset values. Then, the process flow ends.
In step S103, for example, the reference brain wave calibration unit 305 may determine whether the second calibration procedure has been designated. Furthermore, instead of the determination of step S103 being performed by the reference brain wave calibration unit 305, which procedure out of the first calibration procedure and the second calibration procedure to use to perform calibration may be determined in advance. In this case, if an affirmative determination (YES) is made in step S102, the processing of step S104 or S105 is performed without performing the determination of step S103.
Description of First Calibration Procedure
The first calibration procedure will now be described.
First, the display control unit 302 displays a guide screen for guiding the user to the first state (step S201). In this case, the brain wave information acquisition unit 303 acquires information on brain waves of the user, which are measured by the brain wave measurement device 2 (step S202) Further, the reference brain wave calibration unit 305 calibrates reference brain waves for the first state on the basis of the acquired information on the brain waves (step S203).
Then, after a certain period of time (e.g., 5 seconds) has elapsed since the guide screen for guiding the user to the first state was displayed, the display control unit 302 displays a guide screen for guiding the user to the second state (step S204). In this case, as in step S202, the brain wave information acquisition unit 303 acquires information on brain waves of the user, which are measured by the brain wave measurement device 2 (step S205). Further, the reference brain wave calibration unit 305 calibrates reference brain waves for the second state on the basis of the acquired information on the brain waves (step S206).
Then, after a certain period of time (e.g., 5 seconds) has elapsed since the guide screen for guiding the user to the second state was displayed, the display control unit 302 displays a guide screen for guiding the user to the third state (step S207). In this case, as in steps S202 and S205, the brain wave information acquisition unit 303 acquires information on brain waves of the user, which are measured by the brain wave measurement device 2 (step S208). Further, the reference brain wave calibration unit 305 calibrates reference brain waves for the third state on the basis of the acquired information on the brain waves (step S209). Then, the process flow ends.
Description of Second Calibration Procedure
The second calibration procedure will now be described.
First, the display control unit 302 displays a question screen for providing a question to the user (step S301). The question screen includes one or more questions to be provided to the user. Then, the operation acceptance unit 301 accepts a response from the user to the question on the question screen (step S302). Then, the reference brain wave calibration unit 305 selects a fixed value corresponding to the response of the user from among a plurality of predetermined fixed values and calibrates reference brain waves (step S303). For example, a fixed value is selected for each of the normal state, the relaxed state, and the concentrated state. Then, the process flow ends.
Procedure of Association Process
The procedure of the association process performed by the state association unit 304 will now be described.
First, the brain wave information acquisition unit 303 acquires information on brain waves of the user, which are measured by the brain wave measurement device 2, from the brain wave measurement device 2 (step S401). Then, the state association unit 304 compares the acquired information on the brain waves with reference brain waves stored in the reference brain wave storage unit 306 (reference brain waves that are set for each specific state) (step S402). Then, the state association unit 304 performs a process for associating the acquired information on the brain waves with the specific state (step S403). For example, if the comparison result obtained in step S402 determines that the acquired information on the brain waves corresponds to brain waves for the relaxed state, the state association unit 304 performs a process for associating the acquired information on the brain waves with the relaxed state.
Then, the state association unit 304 transmits music data to the brain wave measurement device 2 on the basis of the association result obtained by the state association unit 304 (step S404). For example, when a process for associating the acquired information on the brain waves with the relaxed state is performed, the state association unit 304 transmits data of music presumably having a relaxing effect to the brain wave measurement device 2. In the brain wave measurement device 2, accordingly, the sound output unit 26 emits music to the user. Then, the process flow ends.
Description of Calibration Using First Calibration Procedure
The calibration using the first calibration procedure will now be described.
The reference brain wave calibration unit 305 calculates, for brain waves of each user for each state, an average amplitude value of brain waves for a certain period of time. For example, the reference brain wave calibration unit 305 calculates, for the brain wave patterns of the user A illustrated in
The average amplitude values are also calculated for the other users in a similar way. As a result of the calculation, for the user B, the average amplitude values are 5 μV for the normal state, 1.5 μV for the relaxed state, and 25 μV for the concentrated state, for example. For the user C, the average amplitude values are 10 μV for the normal state, 50 μV for the relaxed state, and 60 μV for the concentrated state, for example. For the user D, the average amplitude values are 5 μV for the normal state, 25 μV for the relaxed state, and 45 μV for the concentrated state, for example.
Note that the brain waves of the user B tend to entirely have a smaller amplitude than the brain waves of the user A. Further, the brain waves of the user C tend to have approximately the same amplitude as the brain waves of the user A in the normal state, but tend to have a larger amplitude in the relaxed state and the concentrated state. Further, the brain waves of the user D tend to entirely have a smaller amplitude than the brain waves of the user A, but differences in amplitude between states (e.g., differences between the normal state and the relaxed state} are almost the same as those of the brain waves of the user A.
In this manner, brain waves acquired from users differ from one user to another, and thus calibration is performed on a user-by-user basis.
For example, in the calibration of reference brain waves based on an average amplitude value, an average value for each state is used as the amplitude of the reference brain waves for the state. For example, in the case of the user A, the average amplitude value (10 μV) for the normal state is used as the amplitude of the reference brain waves for the normal state. Likewise, the average amplitude value (30 μV) for the relaxed state is used as the amplitude of the reference brain waves for the relaxed state. Further, the average amplitude value (50 μV) for the concentrated state is used as the amplitude of the reference brain waves for the concentrated state. The state association unit 304 performs association using the reference brain waves calibrated in the way described above.
For example, the state association unit 304 associates the acquired information on the brain waves with a state corresponding to the closest reference brain waves among the reference brain waves for the respective states. For example, the amplitude of the brain waves of the user A acquired by the brain wave information acquisition unit 303 is 25 μV. The amplitude of the reference brain waves that is closest to 25 μv among the reference brain waves for the respective states is 30 μV (the reference brain waves for the relaxed state). Thus, the state association unit 304 associates the acquired information on the brain waves with the relaxed state.
Alternatively, for example, the state association unit 304 may perform association based on a certain amplitude range relative to the amplitude of the reference brain waves for each state.
For example, in the case of the user A, the amplitude of the reference brain waves for the normal state is 10 μV, the amplitude of the reference brain waves for the relaxed state is 30 μV, and the amplitude of the reference brain waves for the concentrated state is 50 μV. In this case, the difference in amplitude between the normal state and the relaxed state is 20 μV, and the difference in amplitude between the normal state and the concentrated state is 20 μV. Thus, an amplitude range of 10 μV above and below the amplitude of the reference brain waves for each state is determined. Specifically, an amplitude range of 0 to 20 μV is determined for the normal state, an amplitude range of 20 to 40 μV is determined for the relaxed state, and an amplitude range of 40 to 60 μV is determined for the concentrated state. For example, when the amplitude of the brain waves of the user A, which are acquired by the brain wave information acquisition unit 303, is 45 μV, the state association unit 304 associates the acquired information on the brain waves with the concentrated state.
For example, in the case of the user C, the amplitude of the reference brain waves for the normal state is 10 μV, the amplitude of the reference brain waves for the relaxed state is 50 μV, and the amplitude of the reference brain waves for the concentrated state is 60 μV. In this case, the difference in amplitude between the normal state and the relaxed state is 40 μV, and the difference in amplitude between the normal state and the concentrated state is 50 μv. Thus, unlike the user A, for example, an amplitude range of 0 to 45 μV is determined for the normal state, an amplitude range of 45 μV to 55 μV is determined for the relaxed state, and an amplitude range of 55 to 65 μV is determined for the concentrated state.
As described above, a certain amplitude range used for association with each state is determined for each user on the basis of the amplitude in the normal state. Note that certain amplitude ranges used for association with other states are determined based on the amplitude in the normal state by using differences between the reference brain waves for the normal state and the reference brain waves for the other states. Note that a plurality of states are based on the normal state, by way of example, and are not necessarily based on the normal state.
The reference brain wave calibration unit 305 may calibrate reference brain waves by using one or more of the five components of brain waves described above or by using brain waves including a combination of the five components. For example, when the reference brain wave calibration unit 305 calibrates reference brain waves by using one of the five components (e.g., α, waves), the state association unit 304 also performs association by using information on brain waves of that component (i.e., α waves). For example, when the reference brain wave calibration unit 305 calibrates reference brain waves by using brain waves including a combination of the five components, the state association unit 304 also performs association by using information on brain waves including a combination of the five components.
Moreover, which component of brain waves strongly appears may depend on the specific state. Thus, which of the five components to use to perform calibration or association may differ in accordance with the specific state. For example, only α waves may be used to perform calibration and association for the relaxed state of the user, and β waves may be used to perform calibration and association for the concentrated state of the user.
When only one or more of the five components are used for association or calibration, either the user terminal 3 or the brain wave measurement device 2 may perform a process for extracting one or more components from brain waves including a combination of the five components.
While the example described above describes calibration of reference brain waves whose amplitude is an average amplitude value for each state, calibration of reference brain waves is not limited to that described above. For example, reference brain waves whose amplitude is a peak amplitude for each state may be calibrated, Alternatively, for example, the value of the variance of amplitudes may be used as the amplitude of the reference brain waves, and association may be performed in accordance with the degree of the variation of the amplitudes.
Alternatively, any parameter of brain waves, other than the amplitude of brain waves, may be used for calibration. Examples of the other parameter include the wavelength, frequency, and cycle of brain waves. Alternatively, for example, the rate of occurrence of a certain brain wave component such as α waves may be used for calibration.
Screen Transition During Calibration of Reference Brain Waves
Next, transitions of screens displayed on the user terminal 3 during calibration of reference brain waves will be described.
First, when the brain wave measurement device 2 is started or when the application program for brain wave measurement is started, as illustrated in
Here, if no Bluetooth-based connection is identified between the brain wave measurement device 2 and the user terminal 3, the user terminal 3 may display a screen for prompting the user to check their Bluetooth-based connection.
On the inquiry screen 41, as illustrated in
When the user selects the “NO” option 42b among the buttons 42, the reference brain wave calibration unit 305 selects no calibration. In this case, the state association unit 305 performs association by using reference brain waves that are set in previous calibration or by using preset values, for example. Further, a completion notification screen 43 illustrated in
The completion notification screen 43 shows a message indicating that calibration was not carried out. Further, the description of further services available on the application program for brain wave measurement, such as visualizing the state of the user and playing music suitable for the state of the user, is provided. In addition, a procedure for displaying the inquiry screen 41 again is provided so that the user is able to give an instruction to retry calibration.
The completion notification screen 43 may show a message indicating that reference brain waves set in previous calibration or preset values are used in the subsequent association process.
On the other hand, when the user selects the “YES” option 42a among the buttons 42, the reference brain wave calibration unit 305 selects calibration. Then, as illustrated in
Screen Transition in First Calibration Procedure
In the first calibration procedure, first, an initial screen 45 illustrated in
For example, when the user makes a gesture such as flicking or tapping on the initial screen 45, a transition occurs to the next screen. The next screen is a normal-state guide screen 47 illustrated in
The guide for the user lasts for 5 seconds, for example. That is, the message “Please take your eyes off this screen and breathe deeply with your eyes open” is displayed for 5 seconds. The brain wave information acquisition unit 303 of the user terminal 3 acquires information on the brain waves of the user, which are measured by the brain wave measurement device 2 during the period of 5 seconds. The acquired information on the brain waves is used for calibration by the reference brain wave calibration unit 305 as brain waves in the normal state. The message “Please take your eyes off this screen and breathe deeply with your eyes open” may be provided audibly.
The remaining guide time (e.g., in seconds) is displayed in a region 49. The example illustrated in
Further, as in the region 46 illustrated in
Moreover, the reference brain wave calibration unit 305 performs calibration by using, as a reference, brain waves in the normal state among the plurality of specific states. Thus, the display control unit 302 displays a guide screen to the normal state, which is used as a reference, as an initial guide screen among a plurality of guide screens. Guiding the user initially to a reference state clearly identifies the difference from the reference state when the user is guided to another state, for example. As a result, it may be checked whether brain waves of the user who is guided to another state are correctly measured.
After the guide lasts for 5 seconds on the normal-state guide screen 47, a transition occurs to the next screen. The next screen is a relaxed-state guide screen 51 illustrated in
The guide for the user lasts for 5 seconds, for example, as in the normal state. That is, the message “Please close your eyes and breathe deeply” is displayed for 5 seconds. The brain wave information acquisition unit 303 of the user terminal 3 acquires information on the brain waves of the user, which are measured by the brain wave measurement device 2 during the period of 5 seconds. The acquired information on the brain waves is used for calibration by the reference brain wave calibration unit 305 as brain waves in the relaxed state.
As in the region 49 illustrated in
Further, as in the region 46 illustrated in
After the guide lasts for 5 seconds on the relaxed-state guide screen 51, a transition occurs to the next screen. The next screen is a concentrated-state guide screen 55 illustrated in
As in the region 49 illustrated in
Further, as in the region 46 illustrated in
After the guide lasts for 5 seconds on the concentrated-state guide screen 55, a transition occurs to the next screen. The next screen is a completion notification screen 59 illustrated in
Further, as in the region 46 illustrated in
In the way described above, the user is sequentially guided to a plurality of specific states, and brain waves of the user in each of the states are measured. Then, the reference brain wave calibration unit 305 performs calibration on the basis of information on the brain waves of the user in each of the states.
In the example described above, the guide to each of the normal state, the relaxed state, and the concentrated state lasts for 5 seconds, by way of example but not limitation. The guide to each state may last for a time longer or shorter than 5 seconds. In addition, the periods of time set to guide the user to the states may not all be the same, and an appropriate period of time may be set to guide the user to each of the states.
If an error occurs within 5 seconds during guiding, the user may be guided for another 5 seconds and then calibration may be performed.
In addition, for example, if the reference brain wave calibration unit 305 has not completed calibration after the lapse of 5 seconds while the user is being guided to a state, the display control unit 302 may continuously guide the user to the state (or may continuously display a screen for guiding the user to the state) until the reference brain wave calibration unit 305 completes calibration. For example, if the reference brain wave calibration unit 305 completes calibration before the lapse of 5 seconds while the user is being guided to a state, the display control unit 302 may finish guiding the user to the state (or may change the screen for guiding the user to the state to the next screen).
In the example described above, furthermore, the user is guided to one state (reference brain waves in one state are calibrated) for 5 seconds, and is then guided to the next state (reference brain waves in the next state are calibrated), by way of example but not limitation. The user may be guided to one state and then to the next state, with intermission of a certain time interval (e.g., 10 seconds) therebetween. Note that after a certain period of time has elapsed since the user was guided to one state (since reference brain waves in one state were calibrated), the display control unit 302 may start guiding the user to the next state (start calibrating reference brain waves in the next state)
Moreover, when the user is guided to one state and is then guided to the next state, it may take time for the user to change their state from the one state to the next state, and the user may be confused in the stat.es. In this case, brain waves generated in the one state may be mixed with brain waves measured in the next state and may affect calibration of the reference brain waves in the next state. To address the mixture of brain waves, a certain time interval is provided between guiding the user to one state and guiding the user to the next state. This prevents the one state from affecting the measurement of brain waves in the next state and facilitates accurate measurement of brain waves in the next state.
Furthermore, the order in which the user is guided to a plurality of specific states may be set so as not to cause confusion in the states. For example, as a result of comparison between the relaxed state and the concentrated state, when brain waves generated in the relaxed state require time to disappear once they are generated, the user is guided to the concentrated state and is then guided to the relaxed state.
Screen Transition in Second Calibration Procedure
In the second calibration procedure, first, a question screen 61 illustrated in
More specifically, the question 1 is a question for identifying the skin type of the user. More specifically, the question 1 is a question about whether the skin of the user is dry. Note that the acquisition of brain waves of the user is considered to be related to the skin type of the user. Thus, a question about whether the skin of the user is dry is provided to acquire information on the skin type of the user.
The question 2 is a question about the age of the user. Note that brain waves generated from a person are considered to have an age-related tendency. Thus, information on the age of the user .is acquired. Instead of entering an age as illustrated in
The question 3 is a question about the situation of use (usage) of the brain wave measurement device 2 (or the user terminal 3). Note that, for example, brain waves generated from the user are considered to differ depending on the state of the user such as during strenuous exercise or during desk-bound work that lacks exercise. For example, the brain wave measurement device 2 worn by the user is more likely to move during exercise than during desk-bound work, and the intensity of brain waves that can be acquired is thus considered to be weaker during exercise than during desk-bound work. Thus, information on the situation of use is acquired.
When the user responds to the questions 1 to 3, the reference brain wave calibration unit 305 selects a fixed value corresponding to the response of the user from among a plurality of predetermined fixed values. More specifically, for example, a plurality of groups are determined in advance, and fixed values, each corresponding to one of the groups, are determined for each of a plurality of specific states, The reference brain wave calibration unit 305 assigns the user to any one of the plurality of groups on the basis of the response to the questions 1 to 3. Then, the reference brain wave calibration unit 305 selects a fixed value corresponding to the assigned group.
The reference brain wave calibration unit 305 may select, as a fixed value, sensitivity for acquiring (measuring) brain waves instead of reference brain waves, for example. That is, the reference brain wave calibration unit 305 may calibrate the sensitivity with which the brain wave measurement unit 22 measures brain waves or the sensitivity with which the brain wave information acquisition unit 303 acquires brain waves. For example, when the intensity of brain waves that can be acquired from the user is estimated to be weak from the response to the questions 1 to 3 the reference brain wave calibration unit 305 selects sensitivity for amplifying brain waves more than the normal sensitivity.
When the reference brain wave calibration unit 305 performs calibration, a transition occurs to the next screen. The next screen is a completion notification screen 62 illustrated in
In the way described above, the reference bra.in .wave calibration unit 305 performs calibration based on the response made by the user to the questions.
In the example described above, furthermore, calibration is performed for all of the normal state, the relaxed state, and the concentrated state. However, the reference brain wave calibration unit 305 may perform re-calibration only for a state that requires calibration of reference brain waves among these states. In this case, for example, the display control unit 302 may display only a guide screen to the state that requires calibration of reference brain waves in the first calibration procedure, without displaying guide screens for the other states.
Examples of the state that requires calibration of reference brain waves include a state for which a certain period (e.g., one month) has elapsed since reference brain waves were previously calibrated, and a state among a plurality of specific states for which the number of times association has been performed is smaller than that for the other states.
As described above, in this exemplary embodiment, the display control unit. 302 of the user terminal 3 displays a screen for inquiring of the user whether to perform calibration. The reference brain wave calibration unit 305 of the user terminal 3 selects whether to perform calibration in accordance with designation by the user. In this way, it may be possible to perform calibration in accordance with the wishes of the user.
In this exemplary embodiment, furthermore, a server device (not illustrated) that implements all or some of the functions of the user terminal 3 may be provided. In this case, the brain wave measurement device 2 and the server device communicate with each other via a network, For example, when the user accesses the server device by using the user terminal 3, the server device transmits information such as an inquiry screen, a guide screen, and a question screen to the user terminal 3 and various screens are displayed on the user terminal 3. Further, for example, information on the brain waves measured by the brain wave measurement device 2 is transmitted to the server device, and the server device performs an association and calibration process. Further, for instance, the functions of the operation acceptance unit 301, the display control unit 302, and the brain wave information acquisition unit 303 may be implemented by the user terminal 3, and a calibration and association process, which is performed by the state association unit 304, the reference brain wave calibration unit 305, the reference brain wave storage unit 306, and so on, may be performed by the server device. In this case, the server device may be identified as an example of an information processing apparatus, or the server device and the user terminal 3 may be identified as an example of an information processing system.
Note that when the user terminal 3 implements the functional units illustrated in
Alternatively, the brain wave measurement device 2 may execute all or some of the functions of the user terminal 3. The brain wave measurement device 2 executes all or some of the functions of the user terminal 3, thereby, for example, reducing the load imposed on the user terminal 3 or reducing the time taken for the user to perform operations. Specifically, for example, the application program for brain wave measurement or the like is executed by a control unit (not illustrated) or the like of the brain wave measurement device 2, thereby allowing the brain wave measurement device 2 to implement the functions of the user terminal 3. The user provides, for example, voice input to the brain wave measurement device 2, instead of performing various operations on the screen of the user terminal 3, to give an instruction to the brain wave measurement device 2. In this case, the brain wave measurement device 2 may be identified as an example of an information processing apparatus.
For example, some of the functions of the brain wave measurement device 2, such as the signal check function, may be executed by the user terminal 3.
In the example described above, furthermore, the display control unit 302 displays an inquiry screen and a question screen. However, an inquiry and a question may be provided using any other technique. For example, an inquiry and a question may be provided by audio instead of by displaying a screen, and the user may respond to the inquiry and question by voice.
In the example described above, furthermore, the display control unit 302 displays a guide screen to guide the user to a specific state. However, any other technique may be used to guide the user to a specific state. For example, an audio message, such as “Please close your eyes and breathe deeply,” instead of a displayed guide screen, may be provided from the user terminal 3 to guide the user to a specific state. Alternatively, a scent for guiding the user to a specific state, such as a scent presumably having a relaxing effect, may be released from the user terminal 3 to guide the user to a specific state. Additionally, any tool capable of guiding the user to a specific state by the use of the five senses of the user may be used as a guiding method.
In the example described above, furthermore, music is played on the basis of the association result obtained by the state association unit 304. The user terminal 3 may further acquire brain waves of the user who is listening to the music and may determine whether the user actually feels relaxed by the music. This determination assesses the relaxing effect of music. The next time music is played to make the user feel relaxed, the user terminal 3 may perform control to play music assessed to have a higher relaxing effect and not to play music assessed to have a lower relaxing effect. Such a feedback function is implemented by, for example, executing the application program for brain wave measurement. As an example of such a program, a deep learning program or a machine learning program may be used.
The relaxing effect is assessed on a user-by-user basis, and music assessed to have a higher relaxing effect and music assessed to have a lower relaxing effect are different from one user to another. It is expected that a plurality of users tend in common to feel relaxed to some extent while listening to music. Thus, the result of determination of whether listening to music has a relaxing effect may be shared by a plurality of users, and music may be played by using the determination result of other users.
A process using an association result is not limited to a process for playing music. The process using an association result is a process that appeals to the five senses of the user, for example. Examples of the process include playing music, displaying a screen, and releasing a scent.
In addition, virtual reality (VR) technologies may be combined with brain wave information to provide more realistic representations. For example, information on brain waves measured from the user, who is playing a game by using the user terminal 3, may be associated with a specific state of the user to play music or switch screens in synchronization with a specific state of the user (a specific feeling experienced by the user).
In the example described above, furthermore, an inquiry screen is displayed after the signal check function determines that. no error has occurred, by way of example, but not limitation. For example, the signal check function may be executed in a period from when an inquiry screen is displayed to when calibration is started. Alternatively, for example, an inquiry screen may be displayed or calibration may be started without executing the signal check function. For example, the signal check function may be executed after the completion of calibration. For example, an inquiry screen may be displayed or calibration may be started even when if the signal check function determines that an error has occurred. Alternatively, the signal check function may be executed alone, independent of an inquiry screen or calibration.
Further, brain waves may be affected by action potentials (bioelectric currents) produced by the movement of the user's head or the like. Thus, as a function similar to the signal check function, a function of checking the state of the user may be used. More specifically, the brain wave measurement device 2 includes, for example, a gyro sensor, and the movement of the user is checked using the gyro sensor. When non-movement of the user is confirmed, the calibration of reference brain waves and association are started. In other words, calibration and association are started when the movement of the user satisfies a predetermined movement condition.
The predetermined movement condition is a condition that limits the movement of the user, examples of which include a condition that the user's head or mouth is not moving while the user is sitting. For example, when the user's head is shaking to the left and to the right, when the user's mouth is moving, when the user is walking, or when the user is running, it is determined that the predetermined movement condition is not satisfied, and an error occurs. In this case, for example, the brain wave measurement device 2 notifies the user terminal 3 of the error, and an error message is displayed on the user terminal 3. The error message includes, for example, a message that prompts the user to make a smaller movement. Other examples of the function similar to the signal check function include a function of checking the degree of contact between the user and the brain wave measurement device 2. More specifically, for example, the brain wave measurement device 2 includes a sensor that detects the degree of contact with the user. Examples of the degree of contact include the intensity of contact between the user and the brain wave measurement device 2, and the area of contact between the user and the brain wave measurement device 2. For example, if the degree of contact is less than a predetermined level, contract is determined to be poor and the brain wave measurement device 2 notifies the user terminal 3 of an error. Then, for example, the user terminal 3 displays a message that prompts the user to place the brain wave measurement device 2 in closer contact.
In the example described above, three specific states, namely, the normal state, the relaxed state, and the concentrated state, are used. However, the number of specific states is not limited to three. Two or less specific states or four or more specific states may be used.
In the example described above, furthermore, the user terminal 3 implements two procedures, namely, the first calibration procedure and the second calibration procedure. The user terminal 3 may not necessarily implement two calibration procedures, and may implement only one calibration procedure or three or more calibration procedures.
In the example described above, furthermore, the brain wave measurement device 2 has been described as an example of an information processing apparatus that acquires biological information, When biological information other than brain waves is used, a device capable of detecting biological information to be measured is used.
For example, when heart rate is used as biological information, a heart rate measurement device that measures the heart rate of the user is used. The user terminal 3 associates information on the heart rate measured by the heart rate measurement device with a specific state of the user or calibrates a reference therefor. More specifically, for example, the user terminal 3 displays a guide screen to guide the user to the normal state, the relaxed state, and the concentrated state, and the heart rate of the user in each of the states is measured. A certain range of heart rates is determined for each state, for example, and is used as a reference for association. Further, for example, the user terminal 3 displays a question screen, and the reference for association is calibrated on the basis of the response to questions. The question screen. includes questions for items that affect the heart rate (items estimated to affect the heart rate), such as age and gender.
A device that measures biological information is not limited to a device that is used while being in contact with the body of the user, and may be a device that is used while not being in contact with the body of the user. For example, when a voiceprint is measured as biological information, a voiceprint measurement device that measures a voiceprint without touching the user may be used. For example, when pulse waves are measured as biological information, an imaging device that is not brought into contact with the user may be used, and pulse waves may be measured from a moving image of the user captured by the imaging device.
In this exemplary embodiment, furthermore, instead of using only one piece of biological information, a plurality of pieces of biological information may be used. In other words, a plurality of pieces of biological information may be used to perform association or a plurality of pieces of biological information may be calibrated.
In the examples described above, determining reference brain waves is identified as “calibration of a reference to be used for association with a specific state.” In this exemplary embodiment, for example, determining reference brain waves and determining a certain range used for association with each state may be identified as “calibration of a reference to be used for association with a specific state.”
A program that implements the exemplary embodiment of the present disclosure may be provided via a communication means or may be stored in a recording medium such as a compact disc read-only memory (CD-ROM) and provided.
While an exemplary embodiment and a variety of modifications have been described, the exemplary embodiment and the modifications may be used in any combination.
It is to be understood that the present disclosure is not limited to the exemplary embodiment described above, and the present disclosure may be embodied in various forms without departing from the gist of the present disclosure.
The foregoing description of the exemplary embodiment of the present disclosure has been provided for the purposes of illustration and description. It is not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. Obviously, many modifications and variations will be apparent to practitioners skilled in the art. The embodiment was chosen and described in order to best explain the principles of the disclosure and its practical applications, thereby enabling others skilled in the art to understand the disclosure for various embodiments and with the various modifications as are suited to the particular use contemplated. It is intended that the scope of the disclosure be defined by the following claims and their equivalents.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2018-013023 | Jan 2018 | JP | national |
This application is a continuation of U.S. patent application Ser. No. 16/106,854 filed Aug. 21, 2018, which claims priority under 35 USC 119 to Japanese Patent Application No. 2018-013023 filed Jan. 29, 2018, each of which is incorporated by reference in its entirely herein.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16106854 | Aug 2018 | US |
| Child | 17860427 | US |
