Information conversion system and biological information detection device

Abstract

The present disclosure provides an information conversion system or a biological information detection device including a repeatedly wearable sensor. An information conversion system according to the present disclosure outputs character information or audio information converted from biological information about a user. The information conversion system includes: a first member to be fixed to the user; a biological information detection unit configured to bring a contact member into contact with the user to detect biological information; and a second member placed on the first member and configured to bias the biological information detection unit in a direction in which the biological information detection unit contacts the user, in which the biological information detection unit includes a posture control member configured to control a posture of the biological information detection unit, the posture control member is configured to control a posture of the contact member.

Description

Technical Field

[0001] This disclosure relates to an information conversion system and a bioinformation detection device that converts biological information into character information. Background Technology

[0002] Techniques for identifying the content of a user's vocalization using audio information about the user have recently been used. Methods for detecting biosignals from the surface of human skin and estimating the state of jaw and oral cavity movement have been described (e.g., Patent Document 1).

[0003] Citation List Patent documents Patent Document 1: Japanese Patent No. 5924724 Summary of the Invention

[0004] Technical issues According to Patent Document 1, a sensor (surface electrode) for detecting biological information utilizes a membrane placed on the submental region. Therefore, due to factors such as deterioration in the membrane's adhesion, it may be difficult to repeatedly wear the sensor.

[0005] In view of the above, this disclosure is directed to providing an information conversion system or bio-information detection device that includes a sensor that can be repeatedly worn.

[0006] However, the problems that the embodiments disclosed in this specification and accompanying drawings attempt to solve are not limited to those described above. Problems corresponding to the effects of each configuration described in the following embodiments can also be treated as other problems.

[0007] Solution to the problem To achieve the objectives of this disclosure, an information conversion system that outputs character information or audio information converted from biometric information about a user includes: a first component to be fixed to the user; a biometric detection unit configured to contact the user with a contact component to detect biometric information; and a second component placed on the first component and configured to bias the biometric detection unit in the direction in which the biometric detection unit contacts the user. The biometric detection unit includes a posture control component configured to control the posture of the contact component.

[0008] A biometric detection device includes: a first component to be fixed to a user; a biometric detection unit configured to contact the user with a contact component to detect biometric information; and a second component placed on the first component and configured to bias the biometric detection unit in the direction in which the biometric detection unit contacts the user. The biometric detection unit includes a posture control component configured to control the posture of the contact component.

[0009] Beneficial effects of the invention According to this disclosure, the information conversion system or bio-information detection device that converts bio-information into character information includes a sensor that can be repeatedly worn. Attached Figure Description

[0010] Figure 1 This is a block diagram illustrating the configuration of the information conversion system according to this disclosure.

[0011] Figure 2 The illustration shows the appearance of the information conversion system according to this disclosure.

[0012] Figure 3 The illustration shows the configuration of the bioinformatics detection unit according to this disclosure.

[0013] Figure 4 The illustration shows the configuration of the bioinformatics detection unit according to this disclosure.

[0014] Figure 5 An embodiment of the bioinformatics detection unit according to the present disclosure is illustrated.

[0015] Figure 6 An embodiment of the bioinformatics detection unit according to the present disclosure is illustrated.

[0016] Figure 7 The illustration shows the configuration of the bioinformatics detection unit according to this disclosure.

[0017] Figure 8 An embodiment of the bioinformatics detection unit according to the present disclosure is illustrated.

[0018] Figure 9 An embodiment of the bioinformatics detection unit according to the present disclosure is illustrated.

[0019] Figure 10 The diagram illustrates the configuration of the bioinformatics detection unit based on modified Example 1.

[0020] Figure 11 The diagram illustrates the configuration of the bioinformatics detection unit based on modified Example 2.

[0021] Figure 12The illustration shows the state of detecting the displacement of the light emitting element according to modified Example 2.

[0022] Figure 13 The illustration shows the state of detecting the displacement of the light emitting element according to modified Example 2.

[0023] Figure 14 The illustration shows the appearance of the system transformed based on the information from modified Example 3.

[0024] Figure 15 The illustration shows the appearance of the system transformed based on the information from modified Example 4.

[0025] Figure 16 The illustration shows the appearance of the system transformed based on the information in Modified Example 5.

[0026] Figure 17 The illustration shows the appearance of the system transformed based on the information from modified Example 6.

[0027] Figure 18 The illustration shows the appearance of the system transformed based on the information in Modified Example 7.

[0028] Figure 19 The illustration shows the appearance of the system transformed based on the information in Modified Example 8.

[0029] Figure 20 The illustration shows the appearance of the system transformed based on the information from modified Example 9.

[0030] Figure 21 The illustration shows the appearance of the system based on the information from modified Example 10. Detailed Implementation

[0031] Preferred embodiments of the present disclosure will now be described with reference to the accompanying drawings. The dimensions, materials, and shapes of the components, the relative arrangements of the components, etc., described in the following embodiments should be appropriately modified according to the configuration of the apparatus to which the disclosure is applied and various conditions. The scope of the disclosure is not intended to be limited to the following embodiments.

[0032] Figure 1 This is a block diagram illustrating the configuration of the information conversion system according to this disclosure. Figure 2 The illustration shows the appearance of the information conversion system.

[0033] The information conversion system according to embodiments of this disclosure mainly includes a main unit 100 and a bio-information detection unit 200. The information conversion system may include an external device 300, a display unit 310, and an audio information output unit 320.

[0034] The external device 300 has functions similar to, for example, the information processing unit 120, and is connected to the main unit 100.

[0035] The display unit 310 has functions for displaying character information, etc., and is connected to the main unit 100. The main unit 100 may include a display control unit (not shown) for controlling the display format on the display unit 310.

[0036] The audio information output unit 320 is a speaker and is connected to the main unit 100. The audio information output unit 320 is configured to reproduce audio information.

[0037] Although Figure 1 and Figure 2 The illustration shows a configuration including a single biometric detection unit 200, but multiple biometric detection units 200 can be provided. Each biometric detection unit 200 includes sensors 230 for detecting biometric information such as the user's muscle movements, skin movements, mouth and tongue movements, etc. If multiple biometric detection units 200 are provided, then each biometric detection unit 200 detects biometric information at different individual locations. The sensor 230 in each biometric detection unit 200 is at least one of a myoelectric sensor, accelerometer, ultrasound sensor, tactile sensor, optical sensor, pressure sensor, etc.

[0038] A myoelectric potential sensor is a sensor used to detect the electrical signals generated when a muscle is moved. For example, a tripolar Ag electrode is used. The electrode is placed near the belly of the muscle that is involved in the movement of the mouth or tongue being measured.

[0039] An accelerometer is a sensor used to detect acceleration and output data or signals dependent on the detected acceleration. An angular velocity sensor (gyroscope sensor) is a sensor used to detect angular velocity and output data or signals dependent on the detected angular velocity. The accelerometer and angular velocity sensor in the bioinformation detection unit 200 can be integrated together. For example, the sampling frequency for the bioinformation is set to 400Hz for a six-axis accelerometer / angular velocity sensor, and to 800Hz for an electromyography (EMG) sensor.

[0040] The biometric detection unit 200 is placed at a location capable of detecting the movement of the user's mouth and tongue. Specifically, the biometric detection unit 200 is placed near the user's mouth. Alternatively, it can be placed in the subchinular region, cheek region, or similar areas. The biometric detection unit 200 can be placed in any area other than those mentioned above, as long as it can detect biometric information related to the movement of the user's mouth and tongue.

[0041] The main unit 100 is a device that is fixed to the user via a frame member 110 (first member) and processes biological information obtained by the bioinformatics detection unit 200. For example... Figure 1As shown, the main unit 100 primarily includes an information processing unit 120, a communication unit 130, and a power supply unit 140. Although not shown, the main unit 100 is placed... Figure 2 In the frame member 110 (first member) shown.

[0042] The frame member 110 (first member) has components for supporting the main body unit 100 and clamping the user's head or neck, thereby securing it to the user.

[0043] like Figure 2 As shown, the frame member 110 (first member) is fixed to the user by two clamping portions 111 that clamp the user's two temples and a connecting portion 112 that connects the two clamping portions 111.

[0044] The connecting portion 112 is a curved frame that wraps around the back of the user's head and connects the two clamping portions 111. The connecting portion 112 is a frame with elasticity for clamping the user's head. In other words, the frame member 110 (the first member) has such a shape that the frame member wraps around the user's head and has elasticity for clamping the user's head. Therefore, the two clamping portions 111 clamp the user's head with a predetermined pressure due to the elasticity of the connecting portion 112.

[0045] Therefore, from a wearability point of view, it is desirable to position the connecting portion 112 such that it wraps around the back of the user's head or the area near the top of the user's head. Alternatively, the connecting portion may span the front of the face, like a headband or glasses. Components of the main body unit 100 are incorporated in the clamping portion 111 of the frame member 110 (first member), but alternatively, they may be incorporated into the space formed in the connecting portion 112. Thus, components of the main body unit 100 are incorporated either in the clamping portion 111 or in the connecting portion 112.

[0046] The frame member 110 (first member) can have any configuration, as long as the frame member can be secured to a user. For example, a collar-type member to be worn around the user's neck or a mask-type member to cover the user's mouth can be used. The frame member 110 (first member) may desirably include an adjustment mechanism to allow various users to wear the frame member. As an adjustment mechanism, for example, the frame member 110 (first member) includes a sliding mechanism (extension / retraction mechanism).

[0047] The connecting portion 112 includes a plurality of tubular members to form a sliding mechanism (extension / retraction mechanism). Each of the plurality of tubular members is curved. Each of the plurality of tubular members is curved, for example, along the shape of the back of the user's head. A second tubular member is removably connected to a first tubular member constituting the plurality of tubular members. The lengths of the plurality of curved tubular members can be adjusted by inserting the second tubular member into the first tubular member or removing the second tubular member from the first tubular member. Thus, the sliding mechanism allows the connecting portion 112 to extend and retract.

[0048] If the connecting portion 112 of the frame member 110 (first member) does not include an adjustment mechanism, then the connecting portion 112 can be made flexible to adapt to individual users.

[0049] A biasing member 113 (second member) that biases the biometric detection unit 200 is placed on the frame member 110 (first member) (extending from the frame member 110 (first member)). The biasing member 113 (second member) is a member that biases the biometric detection unit 200, which will be described below, in the direction in which the biometric detection unit contacts the user. The biasing member 113 (second member) is elastic in the direction in which the biasing member contacts the user so as to maintain the biasing force even when the user is performing an operation. Therefore, the biasing member 113 (second member) allows the biometric detection unit 200 to press against the user.

[0050] This embodiment includes a first component (frame component 110) to be fixed to a user and a bio-information detection unit 200 that makes contact component 210 contact the user to detect bio-information. This embodiment also includes a second component (biasing component 113) placed on the first component (frame component 110) (extending from the first component (frame component 110)) and biasing the bio-information detection unit 200 in the direction in which the bio-information detection unit contacts the user.

[0051] A biasing member 113 (second member) is connected to the biometric detection unit 200. The biometric detection unit 200 is a component that moves with the user's oral cavity. Therefore, the biasing member 113 (second member) can be elastic, allowing the biometric detection unit 200 to press against the user and the biasing member to deform with the movement of the oral cavity. The rigidity of the biasing member 113 (second member) is set to a first predetermined value or higher, allowing the biometric detection unit 200 to be biased in the direction in which the biometric detection unit contacts the user. The biasing member 113 (second member) is configured to deform with the movement of the user. On the other hand, the connecting portion 112 (frame member 110 (first member)) is configured not to deform with the movement of the user. Therefore, the rigidity of the biasing member 113 (second member) is lower than the rigidity of the connecting portion 112 (frame member 110 (first member)). The rigidity of the connecting portion 112 (frame member 110 (first member)) is set to a second predetermined value or higher. Therefore, the first predetermined value of the stiffness of the offset member 113 (the second member) is lower than the second predetermined value of the stiffness of the connecting portion 112 (frame member 110 (the first member)). The stiffness is at least one of bending stiffness and shear stiffness.

[0052] The biasing member 113 (second member) can be desirously configured to adjust the biasing force so as not to impede the user's oral cavity movement. Like the connecting portion 112, the biasing member 113 (second member) includes an adjustment mechanism that enables adjustment of the biasing force of the bio-information detection unit 200 connected to the biasing member 113 (second member). Examples of the adjustment mechanism include a sliding mechanism (extension / contraction mechanism) in the biasing member 113 (second member).

[0053] The biasing member 113 (second member) includes a plurality of tubular members to form a sliding mechanism. Each of the plurality of tubular members is curved. Each of the plurality of tubular members is curved, for example, along the shape of the user's cheek so as not to obstruct the user's mouth movement. The second tubular member is removably connected to the first tubular member constituting the plurality of tubular members. The length of the plurality of curved tubular members can be adjusted by inserting the second tubular member into or removing the second tubular member from the first tubular member. This configuration allows the biasing member 113 (second member) to extend and retract.

[0054] Additionally, the biasing member 113 (second member) may preferably include a retraction mechanism or the like so that the biasing member can retract when the user puts on or takes off the device. The clamping portion 111 (frame member 110 (first member)) includes a rotation mechanism (not shown) that supports the biasing member 113 (second member) and rotates the biasing member 113 (second member). The rotation mechanism is connected to the biasing member 113 (second member) and has the function of rotating the biasing member 113 (second member) around the clamping portion 111. Since the bio-information detection unit 200 is connected to the biasing member 113 (second member), by rotating the biasing member 113 (second member) using the rotation mechanism, the biasing member 113 (second member) can be retracted as follows: Figure 2 It moves in the direction "A" shown. In other words, the rotation mechanism enables adjustment of the wearing posture and angle of the bio-information detection unit 200.

[0055] The biasing member 113 (second member) can also be incorporated into the substrate and wiring for inputting and outputting power and signals between the main unit 100 and the bio-information detection unit 200. In other words, the biasing member 113 (second member) also serves as a conductive path for establishing electrical connections.

[0056] The information processing unit 120 is a device for processing biological information obtained by the bio-information detection unit 200, which will be described below. However, the information processing unit 120 does not necessarily need to perform all the processing required to convert biological information into character or audio information, and can process signals so that the signals can be transmitted to the external device 300. The information processing unit 120 may also be provided with an input unit to receive user operations, or may be operated from the external device 300.

[0057] In cases where bioinformatics detected by bioinformatics detection unit 200 is converted into character information or audio information, information processing unit 120 converts the bioinformatics into character information or audio information using a conversion technique. As the conversion algorithm in the conversion technique, a learned model based on an architecture constructed from a neural network is used. Information processing unit 120 includes a storage unit (not shown) for storing the learned model and performs inference processing using the learned model.

[0058] The learned model is a model generated using convolutional neural networks (CNNs) or recurrent neural networks (RNNs) as deep learning. Models derived from CNNs or RNNs can also be used. In addition to models derived from CNNs or RNNs, any other machine learning techniques such as support vector machines, logistic regression, or random forests, as well as rule-based techniques, can be used.

[0059] The information processing unit 120 generates a learned model to be used for conversion technology by, for example, learning the correlation between biological information detected by the bio-information detection unit 200 and character information or audio information.

[0060] Specifically, the information processing unit 120 pre-obtains multiple datasets in which the biometric information detected by the biometric information detection unit 200 is associated with character information or audio information (e.g., “a”, “i”, “u”, “e”, “o”) or the pronunciation of these characters.

[0061] The information processing unit 120 uses the correspondence between biological information and character or audio information from multiple datasets as training data. The learned model to be used in the conversion technique is generated by fine-tuning the original learned model using the training data. Therefore, the learned model, generated by learning the correlation between biological information and character or audio information, can be used to perform inference processing on newly input biological information and can output character or audio information. Different conversion algorithms can be used as conversion algorithms for silent periods and for vocal periods, respectively.

[0062] The learning unit is configured in the information processing unit 120. The learning unit can be configured in an external device 300 or in the cloud. The information processing unit 120 may include a storage unit for storing the learned model. The information processing unit can have any configuration, as long as the learned model can be used on the information processing unit 120.

[0063] The learning unit pre-obtains multiple datasets in which biometric information detected by the biometric detection unit 200 is associated with character information or audio information. The learning unit generates a learned model by using the correspondences between biometric information and character or audio information in the multiple datasets as training data to learn how biometric information and character or audio information are correlated with each other. Therefore, the information processing unit 120 can use the learned model generated by learning how biometric information and character information are correlated with each other to perform inference processing on newly input biometric information and can output character or audio information.

[0064] The information processing unit 120 can also use different conversion algorithms (learned models) for the user as conversion algorithms for silent periods and for vocal periods. A silent period is a period when the user does not speak or remains silent. A vocal period is a period when the user is speaking.

[0065] The learning unit distinguishes between silent periods and vocal periods, and generates learned models for silent periods and vocal periods respectively. Specifically, the learning unit distinguishes between silent periods and vocal periods, and generates learned models for silent periods and vocal periods by learning the correlation between biological information and character information or audio information using the correspondence between biological information and character information or audio information in multiple datasets as training data. The information processing unit 120 applies the learned model for silent periods during silent periods when the user remains silent, and applies the learned model for vocal periods during vocal periods. The information processing unit 120 can perform inference processing on new input biological information obtained during silent periods or new input biological information obtained during vocal periods, and can output character information or audio information.

[0066] External device 300 may have the function of an information processing unit. Bioinformation detection unit 200 transmits bioinformation detected by sensor 230 to external device 300. External device 300 converts the bioinformation into character information or audio information, and transmits the converted character information to communication unit 130. Display unit 310 displays the character information. The converted character information can also be converted into audio information and transmitted to audio information output unit 320. External device 300 can directly convert bioinformation into audio information and transmit the audio information to audio information output unit 320.

[0067] Communication between the bioinformatics detection unit 200 and the main unit 100 can be wired or wireless. If the communication between the bioinformatics detection unit 200 and the main unit 100 is achieved through wired communication, then the sensor 230 and the information processing unit 120 are connected by a wire such as a Universal Serial Bus (USB) cable.

[0068] If communication between sensor 230 and information processing unit 120 is achieved through wireless communication, then a wireless connection is established through wireless local area network (LAN) communication such as Wi-Fi, or short-range wireless communication such as Bluetooth®.

[0069] The information processing unit 120 according to this embodiment further includes a wearability determination unit 121. The wearability determination unit 121 is a device for determining whether the bio-information detection unit 200 meets the wearability conditions.

[0070] Wearability determination unit 121 determines whether the wearability conditions of bio-information detection unit 200 (sensor 230) are met based on whether the bio-information detected by bio-information detection unit 200 (sensor 230) has been properly detected. Wearability determination unit 121 may be provided with another sensor. However, the use of bio-information also enables the determination of whether the wearability conditions are met. During the determination process, the user can perform a predetermined operation to determine the wearability conditions.

[0071] Specifically, the wearability determination unit 121 determines whether the wearability conditions are met based on the signal strength, signal characteristics, etc., of the bio-information detected by the sensor 230. For example, if the signal strength of the bio-information detected by the sensor 230 is greater than or equal to a predetermined value, then the wearability determination unit 121 determines that the wearability conditions are met. If the signal strength is less than the predetermined value, then the wearability determination unit 121 determines that the wearability conditions are not met. If the signal characteristics of the bio-information detected by the sensor 230 are close to (similar to) predetermined characteristics, then the wearability determination unit 121 determines that the wearability conditions are met. If the signal characteristics are not close to (not similar to) predetermined characteristics, then the wearability determination unit 121 determines that the wearability conditions are not met. If the wearability determination unit 121 determines that the wearability conditions are not met, or the wearability is inappropriate, then the display unit 310 displays the determination result.

[0072] It is expected that the wear determination unit 121 continuously determines whether the wear conditions are met. However, it may also determine this only when the device is worn. If the wear determination unit 121 determines that the wear conditions are not met, it is expected that a notification indicating that the wear conditions are not met will be sent to the user via the display unit 310 or the audio information output unit 320.

[0073] Communication unit 130 is a device that transmits signals processed by information processing unit 120 to external device 300, display unit 310, and audio information output unit 320. External device 300 can primarily be a personal computer (PC), smartphone, tablet PC, etc. However, external device 300 is not limited to these examples and can be configured in the cloud. Communication unit 130 can establish wired or wireless communication. If communication is achieved via wired communication, then communication unit 130 is connected to each of external device 300, display unit 310, and audio information output unit 320 via a wire such as a USB cable. If communication is achieved via wireless communication, then communication unit 130 is wirelessly connected to each of external device 300, display unit 310, and audio information output unit 320 via wireless LAN communication such as Wi-Fi, or short-range wireless communication such as Bluetooth®.

[0074] The power supply unit 140 is a device that supplies power to each of the information processing unit 120 and the communication unit 130. A rechargeable secondary battery can be used as the power supply unit 140. The main unit 100 may include a microphone for receiving the user's voice.

[0075] Figure 3 The diagram illustrates the configuration of the biometric detection unit 200. The biometric detection unit 200 is a device that detects biometric information from the user's skin surface. The biometric detection unit 200 is positioned at the front end of a biasing member 113 (second member) that biases the biometric detection unit 200 in the direction in which it contacts the user. Figure 3 In this configuration, the biometric detection unit 200 is brought into contact with the user and biased in the upward direction. The biometric detection unit 200 is configured primarily using a contact member 210, a posture control member 220, and a sensor 230. The biometric detection unit 200 can be desirously placed in areas such as the user's neck region, subchinular region, cheek region, or temple region to detect biometric information regarding the movement of the user's mouth and tongue. The biometric detection unit 200 can be placed in any region other than those mentioned above, as long as biometric information regarding the movement of the mouth and tongue can be detected.

[0076] Sensor 230 is a component that detects bio-information such as the movement of a user's muscles, skin, and tongue. The sensor used in the bio-information detection unit 200 is at least one of a myoelectric sensor, accelerometer, ultrasound sensor, tactile sensor, optical sensor, pressure sensor, etc. Sensor 230 is connected to signal line 150. Signal line 150 transmits the bio-signals detected by sensor 230. The bio-signals obtained in the bio-information detection unit 200 are transmitted to the information processing unit 120 of the main unit 100 via signal line 150.

[0077] The bioinformatics detection unit 200 can be any sensor other than those described above, as long as the bioinformatics detection unit can be used as a sensor for detecting bioinformatics. A combination of multiple sensors can also be used. The signal obtained by the sensor 230 is processed by the information processing unit 120 described above.

[0078] The contact member 210 is a member that contacts the surface of the user's skin. The contact member 210 may preferably have a smooth surface for close adhesion to the user's skin. Depending on the detection method, the contact member 210 may have any configuration other than those described above. For example, in the case where a myocardial potential sensor is used as the sensor 230 of the bioinformatics detection unit 200, the contact member 210 is provided with multiple electrodes. Therefore, the contact member 210 may have uneven portions so that the electrodes of the myocardial potential sensor can reliably contact the user.

[0079] If the biometric detection unit 200 includes multiple contact members 210, or if multiple biometric detection units 200 are provided, then at least one of the size, shape, and material of each contact member 210 of the biometric detection unit 200 can be set depending on the area in contact with the user. For example, if the contact member 210 is to contact the user's subchinar region, then a contact member 210 with a narrow contact area can be used to make localized contact with the subchinar region. If the contact member 210 is to contact the user's cheek region, then a contact member 210 with a wide contact area can be used to prevent excessive deformation of the cheek region. The area of ​​the contact member 210 for the subchinar region can be set differently from the area of ​​the contact member 210 for the cheek region. In other words, the size of the contact member 210 can be set depending on the area where the biometric detection unit 200 is placed, or the area in contact with the contact member 210.

[0080] The shape and material of the contact member 210 can be set according to the area that the contact member 210 contacts.

[0081] The posture control member 220 is a member that controls at least one of the contact position and contact posture so that at least one of the position and posture of the contact member 210 can be properly set. In this case, properly setting the position and posture means meeting the conditions (wearing conditions) for advantageously obtaining biometric information about the user. The posture control member 220 controls at least one of the position and posture of the contact member 210 to meet predetermined wearing conditions. Wearing conditions indicate that the contact member 210 has a positional relationship in which the contact member is tightly attached to the user's skin in the area to be measured. Examples of states in which the wearing conditions are not met include a state in which the contact member 210 is not in tight contact with the user's skin and remains suspended. This state also includes a state in which a portion of the contact member 210 remains suspended. Wearing conditions may also be determined not to be met if the contact member 210 is in tight contact with the skin when wearing the device but is suspended when the user performs an operation. However, the content of the wearing conditions varies depending on the type of sensor to be used.

[0082] The posture control component 220 is passively controlled to adapt to the user's wearing position and movement. In other words, the posture control component 220 deforms with the user's wearing position and movement. Alternatively, the posture control component 220 can actively control the user's wearing position and movement. For example, the posture control component 220 may include an actuator to change the shape of the posture control component 220, and can dynamically deform with the user's wearing position and movement.

[0083] According to this embodiment, the posture control member 220 is located between the contact member 210 and the bias member 113 (second member). The posture control member 220 includes an elastic member 221 that is deformable by an external force received from the user by the contact member 210. As a material for the elastic member 221, silicone gel, synthetic rubber, sponge, polyurethane, bellows, etc. can be mainly used.

[0084] As the elastic member 221, for example, a sponge with a pore structure can be used. A sponge with a pore structure is formed by multiple air bubbles connected together. Therefore, gas can pass through the sponge with a pore structure. When the bio-information detection unit 200 is worn by the user, the elastic member 221 is compressed, and when the bio-information detection unit 200 is removed from the user, the elastic member 221 contains the gas and returns to its original state.

[0085] As an elastic member 221, a bellows may be used, for example. The bellows is located between the contact member 210 and the bias member 113 (the second member). When the biometric detection unit 200 is worn by the user, the bellows contracts, and when the biometric detection unit 200 is removed from the user, the bellows returns to its original position.

[0086] As the elastic member 221, a helical spring or the like made of metal or resin can be used. The material of the elastic member 221 is not limited to the above-mentioned materials, and any material can be used as long as the material is elastic.

[0087] Figures 4 to 9 The diagram illustrates the configuration of the elastic member 221 and the deformation limiting member 222 in the bioinformatics detection unit 200.

[0088] Figure 4 The diagram illustrates the deformation of the elastic member 221 in the bioinformatics detection unit 200. The elastic member 221 has the deformation function of being able to extend and contract by an amount corresponding to a predetermined extension / contraction width (Tmm: for example, 5mm). In this case, the elastic member 221 can extend and contract by Tmm in the vertical direction. The extension / contraction width of the elastic member 221 can be arbitrarily set by changing the material of the elastic member 221. The bioinformatics detection unit 200 can detect the deformation of the elastic member 221 as bioinformatics.

[0089] Figure 5 The illustration shows the configuration of the user (skin surface) 500 contacting the upper surface (contact member 210) of the bio-information detection unit 200. In this configuration, the elastic member 221 does not deform.

[0090] Figure 6 The illustration shows a configuration where a user (skin surface) 500 contacts the upper surface (contact member 210) of the biometric detection unit 200, and the elastic member 221 in the biometric detection unit 200 is compressed downwards. The elastic member 221 has a deformation function such that the elastic member can stretch and contract by an amount corresponding to a predetermined stretch / contraction width. Therefore, as... Figure 6 As shown, the elastic member 221 deforms downward. The reaction force from the deformed elastic member 221 pushes the upper surface (contact member 210) of the bio-information detection unit 200 upward, thereby enabling the bio-information detection unit 200 to make close contact with the user (skin surface) 500.

[0091] like Figure 3 As shown, the posture control member 220 includes a deformation limiting member 222 that limits the deformation of the elastic member 221. Figure 7 The diagram shows what is seen from the left. Figure 3 The bio-information detection unit 200 is shown in the figure. The deformation limiting member 222 is connected to and positioned in each of the contact member 210 and the biasing member 113 (second member).

[0092] The deformation-limiting member 222 is composed of a member with predetermined flexibility and is not stretched beyond a predetermined length. The predetermined length corresponds to the length in the vertical direction shown in the accompanying drawings. The deformation-limiting member 222 is a strip-shaped member. For example, fabric, metal film, etc., can be used. The deformation-limiting member 222 can also be a linear member. For example, a wire or rope member can be used.

[0093] like Figure 3 and Figure 7 As shown, deformation limiting member 222 is connected to and positioned in relation to each of contact member 210 and bias member 113 (second member). Deformation limiting member 222 is positioned near elastic member 221. Figure 3 An example is illustrated where multiple deformation limiting members 222 are provided and formed by multiple members. Each of the multiple deformation limiting members 222 is connected to the contact member 210 and the biasing member 113 (second member) at two locations, for example. The multiple deformation limiting members 222 are a pair of deformation limiting members, and each of the deformation limiting members 222 is connected to the contact member 210 and the biasing member 113 (second member). Figure 3 and Figure 7As shown, the right-end deformation limiting member 222 and the left-end deformation limiting member 222 form a pair of deformation limiting members. The right-end deformation limiting member 222 and the left-end deformation limiting member 222 are each connected to the contact member 210 and the biasing member 113 (second member).

[0094] Each deformation limiting member 222 is connected to the contact member 210 and the offset member 113 (second member) at two locations, but alternatively, it may be connected at four or more locations.

[0095] If as Figure 7 The deformation limiting member 222 shown is a strip-shaped member, with its upper and lower ends respectively connected to the contact member 210 and the biasing member 113 (second member). The deformation limiting member 222 is connected to each of the contact member 210 and the biasing member 113 (second member) via an upper and lower engagement region of the strip-shaped member. The upper engagement region of the deformation limiting member 222 has a predetermined width, and the deformation limiting member 222 is connected to the contact member 210. Using this configuration, the deformation limiting member 222 can apply force to the contact member 210 via its upper engagement region. Similarly, the lower engagement region of the deformation limiting member 222 has a predetermined width, and the deformation limiting member 222 is connected to the biasing member 113 (second member). Using this configuration, the deformation limiting member 222 can apply force to the biasing member 113 (second member) via its lower engagement region.

[0096] If the deformation limiting member 222 is a strip member with a width greater than or equal to a predetermined width, then the deformation limiting member 222 can cover a portion of the elastic member 221. The deformation limiting member 222 can also cover the surrounding area of ​​the elastic member 221. Therefore, the elastic member 221 can be hidden by the deformation limiting member 222.

[0097] Figure 8 Based on Figure 3 The figure illustrates a configuration in which a user (skin surface) 500 is tilted to contact the upper surface (contact member 210) of the bio-information detection unit 200 and the bio-information detection unit 200 is tilted downwards.

[0098] The elastic member 221 is bent at an angle. In this case, Figure 8 The illustration shows a configuration in which the left elastic member 221 is bent and compressed and the right elastic member 221 is bent and stretched.

[0099] like Figure 8As shown, the right-end deformation limiting member 222 is stretched together with the stretched elastic member 221. Since the right-end deformation limiting member 222 is a member that is not stretched beyond a predetermined length, it can suppress the deformation of the stretched elastic member 221 when it reaches the predetermined length. The deformation limiting member 222 can suppress the deformation of the elastic member 221, which can deform arbitrarily. Therefore, the contact position and contact posture of the bio-information detection unit 200 relative to the user (skin surface) 500 can be limited. The left-end deformation limiting member 222 can suppress the deformation of the compressed elastic member 221.

[0100] Figure 8 The illustration shows a configuration where the left elastic member 221 is bent and compressed, and the right elastic member 221 is bent and stretched. Similarly, the same advantageous effects can be obtained in a configuration where the right elastic member 221 is bent and compressed, and the left elastic member 221 is bent and stretched. In this case, the left deformation limiting member 222 is stretched together with the stretched elastic member 221. Since the left deformation limiting member 222 is a member that is not stretched beyond a predetermined length, it can suppress the deformation of the stretched elastic member 221 when it reaches the predetermined length.

[0101] Figure 9 Based on Figure 7 The figure illustrates a configuration in which a user (skin surface) 500 is tilted to contact the upper surface (contact member 210) of the bio-information detection unit 200 and the bio-information detection unit 200 is tilted downwards.

[0102] The elastic member 221 is bent at an angle. In this case, Figure 9 The illustration shows a configuration in which the left elastic member 221 is bent and compressed and the right elastic member 221 is bent and stretched.

[0103] like Figure 9 As shown, the deformation limiting member 222 deforms together with the deformable elastic member 221. Since the right end portion of the deformation limiting member 222 is not stretched beyond a predetermined length, when the deformation limiting member 222 reaches the predetermined length, the right end portion (one end) of the deformation limiting member 222 can suppress the deformation of the right side of the stretched elastic member 221. The deformation limiting member 222 can suppress the deformation of the elastic member 221, which can be arbitrarily deformed. Therefore, the contact position and contact posture of the biometric detection unit 200 relative to the user (skin surface) 500 can be limited. The left end portion (the other end) of the deformation limiting member 222 can suppress the deformation of the compressed elastic member 221.

[0104] Figure 9 The illustration shows a configuration where the left elastic member 221 is bent and compressed, and the right elastic member 221 is bent and stretched. Similarly, the same advantageous effect can be obtained in a configuration where the right elastic member 221 is bent and compressed, and the left elastic member 221 is bent and stretched. In this case, since the left end portion (the other end) of the deformation limiting member 222 is not stretched beyond a predetermined length, when the deformation limiting member 222 reaches the predetermined length, the left end portion (the other end) of the deformation limiting member 222 can suppress deformation on the left side of the stretched elastic member 221. The right end portion (one end) of the deformation limiting member 222 can suppress deformation of the compressed elastic member 221.

[0105] The posture control component 220 and the sensor 230 do not necessarily need to be separate from each other, and the posture control component 220 can be used as part of the sensor 230. For example, the posture control component 220 can be combined with an optical sensor or a strain gauge to detect the amount of deformation of the posture control component 220, and the detected deformation can be used as bioinformation.

[0106] According to the above embodiment, the information conversion system that outputs character information or audio information converted from biometric information about a user includes a first component (frame component 110 (first component)) to be fixed to the user. The information conversion system also includes a biometric detection unit 200 configured to contact the contact component 210 with the user to detect biometric information. The information conversion system also includes a second component (biasing component 113 (second component)) placed on the first component (frame component 110 (first component)) and biasing the biometric detection unit 200 in the direction in which the biometric detection unit contacts the user. The biometric detection unit 200 includes a posture control component 220 that controls the posture of the contact component 210.

[0107] Therefore, sensors in information conversion systems or bio-information detection devices that convert biological information into character information can be worn repeatedly.

[0108] <Modification Example 1> Next, a modified example 1 of this disclosure will be described. Figure 10 The illustration shows the configuration of the bioinformatics detection unit 200 according to Modified Example 1. In this modified example, a contact-type sensor unit is used as the bioinformatics detection unit 200, and a magnetic sensor, an accelerometer, and an angular velocity sensor are used.

[0109] The bioinformatics detection unit 200 according to this modified example includes a contact member 210, a posture control member 220, a circuit board 231 on which a magnetic sensor integrated circuit (IC) is mounted, and a circuit board 232 on which an inertial sensor IC is mounted. The inertial sensor IC is integrated into a triaxial acceleration detection unit and a triaxial angular velocity detection unit.

[0110] The permanent magnet 233 is fixed to the posture control member 220 side of the contact member 210. A magnetic sensor IC on the circuit board 231 detects the displacement relative to the permanent magnet 233. The magnetic sensor IC is a component with four magnetic detection points. Alternatively, a triaxial geomagnetic sensor configured to detect the direction of the magnetic field vector can be used. The three-dimensional displacement of the permanent magnet 233 is detected by a subsequent stage signal processing circuit (not shown) using the output from the magnetic sensor IC, and an external force is calculated based on the detected displacement.

[0111] The triaxial acceleration detection unit and triaxial angular velocity detection unit on circuit board 232 are an acceleration sensor and an angular velocity sensor, respectively. Triaxial acceleration and triaxial angular velocity are detected in the bioinformatics detection unit 200. Examples of the types of acceleration sensors in the bioinformatics detection unit 200 include piezoelectric, piezoresistive, and capacitive types. Examples of the types of angular velocity sensors include piezoelectric and capacitive types.

[0112] The bio-information detection unit 200 can detect bio-information using displacement, acceleration, and angular velocity relative to the permanent magnet 233. The wearability determination unit 121 determines whether the wearability conditions are met based on whether the bio-information detected in the magnetic sensor, acceleration sensor, and angular velocity sensor has been properly detected.

[0113] Specifically, the wearability determination unit 121 uses the displacement, acceleration, and angular velocity relative to the permanent magnet 233 detected by the magnetic sensor, accelerometer, and angular velocity sensor, respectively, to determine whether the wearability conditions are met. For example, if the displacement relative to the permanent magnet 233 detected by the magnetic sensor falls within a predetermined displacement, then the wearability determination unit 121 determines that the wearability conditions are met. If the acceleration detected by the accelerometer is less than or equal to a predetermined acceleration, then the wearability determination unit 121 determines that the wearability conditions are met. If the angular velocity detected by the angular velocity sensor is less than or equal to a predetermined angular velocity, then the wearability determination unit 121 determines that the wearability conditions are met.

[0114] <Modification Example 2> Next, a modified example 2 of this disclosure will be described. Descriptions of parts common to modified example 1 are omitted. Figures 11 to 13 The illustration shows the configuration of the bio-information detection unit 200 according to Modified Example 2. In this modified example, an optical tactile sensor unit is used as the bio-information detection unit 200.

[0115] The bioinformatics detection unit 200 according to this embodiment includes a circuit board on which two segments of photodiodes 235a and 235b are mounted, and a light emitting element 234 is also mounted on a circuit board 231 on which an inertial sensor IC is mounted. In this case, the light emitting element 234 is placed on a contact member 210. The two segments of photodiodes 235a and 235b are placed on a bias member 113 (second member). A hollow space is formed between the light emitting element 234 and the segmented photodiodes 235a and 235b. In other words, there is no elastic member 221 between the light emitting element 234 and the segmented photodiodes 235a and 235b.

[0116] The two-segment photodiodes 235a and 235b are light-receiving elements, each with a two-segment light-receiving surface. For example... Figure 12 and Figure 13 As shown, the opening member 236 includes openings 236a and 236b formed in the optical path between the light emitting element 234 and the two-segment photodiodes 235a and 235b.

[0117] The three-dimensional displacement of the light emitting element 234 is detected by a subsequent signal processing circuit (not shown) using the outputs from two segmented photodiodes 235a and 235b, and the external force is calculated based on the detected displacement.

[0118] The process for detecting the amount of movement of the light emitting element 234 due to an external force and calculating the external force will now be described. Figure 12 The illustration shows the movement of the light emitting element 234 and the projected light spot 237 when a vertical external force F is received. The distance between the light spot pairs formed by the individual light emitting elements 234 varies depending on the ratio between the distance between the light emitting element 234 and each of the openings 236a and 236b and the distance between the surface of the light receiving IC and each of the openings 236a and 236b. When a planar pressing force is received, the light emitting element 234 moves downward, causing the distance between the light emitting element 234 and each of the openings 236a and 236b to decrease. As a result, the center-to-center distance of the light spot pair increases. The vertical external force can be estimated by calculating the distance between the coordinates of the center positions of the light spot pairs.

[0119] Figure 13The illustration shows the movement of the light emitting element 234 and the projected light spot 237 when a force F is received in the shear direction. When the elastic member 221 receives the force in the shear direction via the contact member 210, the light emitting element 234 moves in the in-plane direction. As a result, the center position of the light spot pair moves in the opposite direction to the direction of the external force. The external force in the shear direction can be estimated by calculating the average value of the coordinates of the center position of the light spot pair.

[0120] <Modification Example 3> Next, a modified example 3 of this disclosure will be described. Figure 14 The illustration shows the appearance of the system transformed based on the information from modified Example 3.

[0121] A biasing member 113 (second member) for biasing the bioinformatics detection unit 200 is provided on the frame member 110 (first member) (extending from the frame member 110 (first member)). In addition, a biasing member 252 for biasing the bioinformatics detection unit 250 is placed on the frame member 110 (first member) (extending from the frame member 110 (first member)).

[0122] The biometric detection unit 200 is placed on the user's chin area and the biometric detection unit 250 is placed on the user's cheek.

[0123] The biasing member 252 is a biasing member that biases the biometric detection unit 250 in the direction in which the biometric detection unit contacts the user. The biasing member 252 is elastic in the direction in which the biasing member contacts the user in order to maintain the biasing force. Therefore, the biasing member 252 enables the biometric detection unit 250 to press against the user.

[0124] A biasing member 252 is connected to a biometric detection unit 250. The biometric detection unit 250 is a component that moves with the user's oral cavity. Therefore, the biasing member 252 can be elastic, allowing the biometric detection unit 250 to press against the user and deforming with oral cavity movement. The rigidity of the biasing member 252 is set to a third predetermined value or higher, allowing the biometric detection unit 250 to be biased in the direction of contact with the user. The rigidity of the biasing member 252 is lower than the rigidity of the connecting portion 112 (frame member 110 (first member)). The rigidity of the biasing member 252 is higher than the rigidity of the biasing member 113 (second member).

[0125] The stiffness of the connecting portion 112 (frame member 110 (first member)) is set to a second predetermined value or higher. The stiffness is at least one of bending stiffness and shear stiffness. Therefore, the third predetermined value of the stiffness of the offset member 252 is lower than the second predetermined value of the stiffness of the connecting portion 112 (frame member 110 (first member)).

[0126] The biasing member 252 can be desirously configured to adjust the biasing force so as not to impede the user's oral cavity movement. Like the connecting portion 112, the biasing member 252 includes an adjustment mechanism that enables adjustment of the biasing force of the bio-information detection unit 250 connected to the biasing member 252. Examples of the adjustment mechanism include a sliding mechanism (extension / contraction mechanism) in the biasing member 252.

[0127] <Modification Example 4> Next, a modified example 4 of this disclosure will be described. Figure 15 The illustration shows the appearance of the information conversion system according to Modified Example 4. Modified Example 4 differs from Modified Example 3 in that the connecting portion 112 constituting the frame member 110 (first member) is composed of connecting portion 112A and connecting portion 112B. In the case of a user wearing the device, the user can wear the device from the left and right sides of the user's head to prevent the bias members 113 and 252 from interfering with the wearable device. Connecting portions 112A and 112B can be connected using, for example, magnets or buckles, but alternatively, they can be connected by various methods. Connecting portions 112A and 112B can be provided as an adjustment mechanism formed by multiple tubular members and configured to adjust the length. This configuration allows the user to easily put on or take off the device. Furthermore, the device can be housed in a compact manner.

[0128] The device can be powered on when connection parts 112A and 112B are connected. The connection between connection parts 112A and 112B can be used as a trigger to initiate wireless communication between the information processing unit 120 and the sensor 230, as well as wireless connections between the communication unit 130, external device 300, display unit 310, and audio information output unit 320. Furthermore, the connection between connection parts 112A and 112B can be used as a trigger to perform wearability determination and begin estimation. The device can be powered off when connection parts 112A and 112B are disconnected. This configuration allows users to more easily use the information conversion system and avoids wasted power consumption.

[0129] <Modification Example 5> Next, a modified example 5 of this disclosure will be described. Figure 16The illustration shows the appearance of the information conversion system according to Modified Example 5. Modified Example 5 differs from Modified Example 3 in that the clamping portion 111 constituting the frame member 110 (first member) is a separate component from the biasing members 113 and 252 (second members). The user can wear the device with the biasing members 113 and 252 detached from the first member 110. After wearing the first member, the biasing members 113 and 252 are connected to the clamping portion 111, thereby allowing the user to easily wear the device. The biasing members 113 and 252 can be connected to the clamping portion 111 using, for example, magnets. The biasing members 113 and 252 can be provided as an adjustment mechanism formed by multiple members and configured to adjust their length. This configuration allows the device to be housed in a compact manner.

[0130] Similar to Modified Example 4, the device's power on and off can be switched by triggering the connection and disconnection between the biasing members 113 and 252 and the clamping portion 111. Additionally, the wireless communication between the information processing unit 120 and the sensor 230, as well as the wireless communication between the communication unit 130, the external device 300, the display unit 310, and the audio information output unit 320, can be started and stopped by triggering the connection and disconnection between the biasing members 113 and 252 and the clamping portion 111. Furthermore, wear determination and estimation can be initiated by triggering a connection. This configuration allows users to more easily use the information conversion system. Moreover, it avoids wasted power consumption.

[0131] <Modification Example 6> Next, a modified example 6 of this disclosure will be described. Figure 17 The illustration shows the appearance of the information conversion system according to Modified Example 6. Modified Example 6 differs from Modified Example 5 in that the audio output unit 320 is placed on the clamping part 111, etc. Examples of the audio output unit 320 include bone conduction headphones, in-ear headphones, and over-ear headphones. The user can check the audio information output from the information processing unit 120 via the audio output unit 320. The placement of the audio output unit 320 is not limited to the clamping part 111, but can instead be placed on the connecting part 112 or the biometric detection unit 220, or it can be placed in the ear. The audio output unit can be placed anywhere, as long as the audio information output from the information processing unit 120 can be checked. This configuration allows the user to easily check whether the user's mouth movements can be converted into the expected audio information. The audio output unit 320 can output not only audio information based on estimates of the user's biometric information, but also music, the voice of a telephone conversation partner, etc.

[0132] In this modified example, the audio input unit 410 is placed on the clamping part 111, etc. The audio input unit 410 is, for example, a microphone. The location of the audio input unit 410 is not limited to the clamping part 111, and can be placed on the connection part 112 or the biometric detection unit 220. The audio input unit can be placed anywhere, as long as audio information about the user can be obtained. The audio information input to the audio input unit 410 is sent to the information processing unit 120.

[0133] The information processing unit 120 estimates the corresponding character information or audio information based on the biological information and audio information obtained by the bioinformatics detection units 200 and 250, and outputs the corresponding character information or audio information. Therefore, the information processing unit 120 can increase the estimation accuracy based on both biological information and audio information. Furthermore, the information processing unit 120 can estimate and output the corresponding character information based solely on the audio information, and can also output audio information with noise removed.

[0134] The type of information to be input into the information processing unit 120 (i.e., audio information only, biometric information only, or audio and biometric information) can be switched by user operation, or can be automatically switched depending on the connection state between the bias members 113 and 252 and the clamping portion 111. Specifically, when the bias members 113 and 252 are not connected to the clamping portion 111, only audio information can be input into the information processing unit 120. When the bias members 113 and 252 are connected to the clamping portion 111, both audio and biometric information can be input into the information processing unit 120. The information to be input can be switched automatically. Even when the bias members 113 and 252 are connected to the clamping portion 111, if it is determined that the audio information does not include audio information about the user, the information processing unit 120 can automatically switch the information to be input so that it estimates and outputs the corresponding character information or audio information only based on biometric information. Moreover, when the bias members 113 and 252 are connected to the clamping portion 111, only audio information can be input into the information processing unit 120.

[0135] This configuration allows users to utilize the information conversion system with the optimal hardware configuration based on usage conditions.

[0136] <Modified Example 7> Next, a modified example 7 of this disclosure will be described. This modified example is an example of a frame member 110 spanning the front side of the face, based on modified example 3. Figure 18 The illustration shows the appearance of the system transformed based on the information in Modified Example 7.

[0137] The frame member 110 is provided with a nose pad member 114. The front end of the nose pad member 114 is divided into two sections, and the nose pad member contacts the upper part of the nose when worn. In this case, the frame member 110 can be used as eyeglasses, or it can be part of an eyeglass-type image output device.

[0138] A biasing member 113 (second member) biasing the biometric detection unit 200 is placed on the frame member 110 (first member) (extending from the frame member 110 (first member)). Additionally, a biasing member 252 biasing the biometric detection unit 250 is placed on the frame member 110 (first member) (extending from the frame member 110 (first member)). The biometric detection unit 200 is placed on the user's subchinular region, and the biometric detection unit 250 is placed on the user's cheek. The biasing member 252 is a biasing member that biases the biometric detection unit 250 in the direction in which the biometric detection unit contacts the user. The biasing member 252 is elastic in the direction in which the biasing member contacts the user to maintain the biasing force. Therefore, the biasing member 252 can press the biometric detection unit 250 against the user.

[0139] According to the modified example described above, the device can be worn from the front of the face, allowing the user to easily put on the device without messing up their hairstyle. Additionally, the fixing portion can be supported by the ears and nose, enabling the frame member 110 to be stably fixed to the head even when subjected to forces in various directions due to the opening and closing of the mouth via the bias member 113. This results in improved accuracy in obtaining biometric information.

[0140] <Modified Example 8> Next, a modified example 8 of this disclosure will be described. This modified example is an example of dividing the frame member 110 into left and right members according to modified example 3. Figure 19 The illustration shows the appearance of the system transformed based on the information in Modified Example 8.

[0141] Two frame members 110 are connected via a biasing member 115. A biometric detection unit 200 is placed on the user's subchinular region, and two biometric detection units 250 are placed on the user's cheeks. In this configuration, the biometric detection units 250 are placed on the left and right cheeks, and may include dummy pads without detection functionality. The left and right frame members 110 are placed on the ears and thus secured to the head, and the elasticity of the biasing member 115 allows the biometric detection units 200 and 250 to press against the subchinular region and cheeks. In this configuration, a force is applied to hold the cheeks between the two biometric detection units 250, which stabilizes the biasing force and prevents wear failures such as suspension.

[0142] According to this modified example as described above, the device can be worn from the front of the face, allowing the user to easily put on the device without messing up their hairstyle. In a configuration where the cheeks are held between the detection units, the advantage of preventing wear failure can be achieved.

[0143] <Modified Example 9> Next, a modified example 9 of this disclosure will be described. Figure 20 The illustration shows the appearance of the system based on information from Modified Example 9. Modified Example 9 differs from Modified Example 3 in that it provides a mechanism for rotating bias members 113 and 252 (second members) in the horizontal direction relative to the clamping portion 111 constituting frame member 110 (first member).

[0144] This configuration allows the user to easily wear the device. Bias members 113 and 252 may include a rotation mechanism with a rotation axis in the longitudinal direction of each bias member. This configuration allows the device to be housed in a more compact manner. This rotation mechanism enables the device to be worn in a way that better adapts to the shape of the user's face.

[0145] The biasing members 113 and 252 may have the function of turning on the power to the device when reaching a predetermined wearing position (the position where sensors 200 and 250 contact the skin) and turning off the power when reaching a removal position. Additionally, power-on and power-off can be provided to the user as audio feedback via bone conduction headphones incorporated in the biasing member 113.

[0146] This configuration makes it easier for users to use the information conversion system. Furthermore, it avoids wasted power consumption.

[0147] <Modification Example 10> Next, a modified example 10 of this disclosure will be described. Figure 21 The illustration shows the appearance of the information conversion system according to Modified Example 10. Modified Example 10 differs from Modified Example 3 in that it provides a mechanism for rotating bias members 113 and 252 (second members) in the vertical direction relative to the clamping portion 111 constituting the frame member 110 (first member).

[0148] This configuration makes it easy for users to wear the device. Additionally, the device can be housed in a more compact manner.

[0149] The biasing members 113 and 252 may have the function of turning on the power to the device when reaching a predetermined wearing position (the position where sensors 200 and 250 contact the skin) and turning off the power when reaching a removal position. Additionally, power-on and power-off can be provided to the user as audio feedback via bone conduction headphones incorporated in the biasing member 113.

[0150] This configuration makes it easier for users to use the information conversion system. Furthermore, it avoids wasted power consumption.

[0151] As described above, this embodiment includes a first component (frame component 110 (first component)) to be fixed to a user, and a biometric detection unit 200 that allows the contact component 210 to contact the user to detect biometric information. This embodiment also includes a second component (biasing component 113 (second component)) placed on the first component (frame component 110 (first component)) and biasing the biometric detection unit 200 in the direction in which the biometric detection unit contacts the user. This embodiment further includes a third component (biasing component 252) placed on the first component (frame component 110 (first component)) and biasing the biometric detection unit 250 in the direction in which the biometric detection unit contacts the user.

[0152] The above embodiments of this disclosure are merely specific examples of implementing this disclosure, and the technical scope of this disclosure should not be construed as being limited to the embodiments. That is, this disclosure can be implemented in various forms without departing from its technical concept or its main features.

[0153] This invention is not limited to the above embodiments, and various changes and modifications can be made within the spirit and scope of this invention. Therefore, the appended claims are presented to inform the public of the scope of this invention.

[0154] This application claims priority to Japanese Patent Application No. 2023-174306, filed on October 6, 2023, and Japanese Patent Application No. 2024-070111, filed on April 23, 2024, which are hereby incorporated herein by reference in their entirety.

Claims

1. An information conversion system, said information conversion system outputting character information or audio information converted from biometric information about a user, said information conversion system comprising: The first component to be fixed to the user; A bio-information detection unit, the bio-information detection unit being configured to make a contact member contact the user to detect bio-information; as well as A second component, placed on top of the first component and configured to bias the biometric detection unit in the direction in which the biometric detection unit contacts the user. The bio-information detection unit includes a posture control component configured to control the posture of the contact component.

2. The information conversion system of claim 1, wherein the bio-information detection unit is configured using a contact member configured to contact the user's skin surface, the posture control member, and a sensor configured to detect bio-information about the user.

3. The information conversion system according to claim 1, wherein the bio-information detection unit is placed at the front end of the second member configured to bias the bio-information detection unit in the direction in which the bio-information detection unit contacts the user.

4. The information conversion system according to claim 1, wherein the posture control member controls at least one of the position and posture of the contact member to meet predetermined wearing conditions.

5. The information conversion system of claim 1, wherein the posture control member is located between the contact member and the second member and is connected to each of the contact member and the second member.

6. The information conversion system of claim 1, wherein the posture control member includes an elastic member that is to deform by an external force received by the contact member.

7. The information conversion system of claim 6, wherein the posture control member includes a deformation limiting member configured to limit deformation in the elastic member.

8. The information conversion system according to claim 7, wherein the deformation limiting member is a strip member or a linear member.

9. The information conversion system of claim 7, wherein a plurality of deformation limiting members are provided, and each of the plurality of deformation limiting members is connected to the contact member and the second member.

10. The information conversion system of claim 1, wherein the first component has a shape that surrounds the user's head and has elasticity for clamping the user's head.

11. The information conversion system according to claim 1, wherein the first component or the second component includes an extension / contraction mechanism.

12. The information conversion system of claim 1, wherein the first component includes a rotating mechanism configured to support the second component and rotate the second component.

13. The information conversion system of claim 1, wherein a plurality of bio-information detection units are provided, and at least one of the size, shape, and material of the contact member is set depending on the area in contact with the user.

14. The information conversion system according to claim 6, wherein the bio-information detection unit detects the deformation of the elastic member as bio-information.

15. The information conversion system according to claim 1, further comprising a wear determination unit, the wear determination unit being configured to determine whether the wear conditions of the bioinformation detection unit are met based on whether the bioinformation detected by the bioinformation detection unit has been properly detected.

16. The information conversion system according to claim 15 further includes a display unit, the display unit being configured to display a determination result when the wear determination unit determines that the wear conditions are not met.

17. The information conversion system according to claim 1, wherein the bio-information detection unit is at least one of a myoelectric sensor, an accelerometer, an ultrasound sensor, a tactile sensor, an optical sensor, and a pressure sensor.

18. The information conversion system according to claim 1, further comprising a main unit configured to process biological information obtained by the bioinformatics detection unit. The main body unit is placed in the first component.

19. The information conversion system according to claim 1 further includes an information processing unit configured to convert biological information detected by the biological information detection unit into character information or audio information using a learned model, the learned model being generated by learning the correlation between biological information and character information or audio information.

20. A bioinformatics detection device, comprising: It must be fixed to the user's first component; A bio-information detection unit, the bio-information detection unit being configured to make a contact member contact the user to detect bio-information; as well as A second component, placed on top of the first component and configured to bias the biometric detection unit in the direction in which the biometric detection unit contacts the user. The bio-information detection unit includes a posture control component configured to control the posture of the contact component.

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