WO2023106137A1 - センサシステムおよびそれを備えた車両 - Google Patents

センサシステムおよびそれを備えた車両 Download PDF

Info

Publication number
WO2023106137A1
WO2023106137A1 PCT/JP2022/043602 JP2022043602W WO2023106137A1 WO 2023106137 A1 WO2023106137 A1 WO 2023106137A1 JP 2022043602 W JP2022043602 W JP 2022043602W WO 2023106137 A1 WO2023106137 A1 WO 2023106137A1
Authority
WO
WIPO (PCT)
Prior art keywords
sensor
sensors
vibration
predetermined displacement
noise vibration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2022/043602
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
大地 植木
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Murata Manufacturing Co Ltd
Original Assignee
Murata Manufacturing Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Murata Manufacturing Co Ltd filed Critical Murata Manufacturing Co Ltd
Priority to DE112022004878.6T priority Critical patent/DE112022004878T5/de
Priority to JP2023566239A priority patent/JP7687442B2/ja
Publication of WO2023106137A1 publication Critical patent/WO2023106137A1/ja
Priority to US18/644,162 priority patent/US20240268765A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves using microwaves or terahertz waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7217—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise originating from a therapeutic or surgical apparatus, e.g. from a pacemaker
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0048—Detecting, measuring or recording by applying mechanical forces or stimuli
    • A61B5/0051—Detecting, measuring or recording by applying mechanical forces or stimuli by applying vibrations
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1102—Ballistocardiography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6893—Cars
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7221—Determining signal validity, reliability or quality
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/86—Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/86—Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40—Means for monitoring or calibrating
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/497—Means for monitoring or calibrating

Definitions

  • the present invention relates to a sensor system that emits electromagnetic waves and receives reflected waves returning from an object to be measured, and a vehicle equipped with the same.
  • Patent Document 1 Conventionally, there is one disclosed in Patent Document 1, for example, as this type of sensor system.
  • This sensor system includes a radio wave sensor, a vibration sensor, and a signal processor.
  • the radio wave sensor transmits radio waves within a detection area, receives radio waves reflected by an object, and outputs a radio wave sensor signal corresponding to the state of the object to the signal processing device.
  • the vibration sensor detects vibration of at least one of the radio wave sensor and the object, and outputs a vibration sensor signal corresponding to the detected vibration to the signal processing device.
  • the signal processing device attenuates the vibration component detected in the vibration sensor signal from the radio wave sensor signal to generate a signal mainly containing the component of the object.
  • Patent Document 1 attempts to improve the detection accuracy of the state of an object by obtaining a large amount of sensor information using a plurality of radio wave sensors and vibration sensors. Therefore, in the conventional sensor system, as the number of sensors increases, the power consumption of the sensor system increases.
  • the present invention was made to solve such problems, one or more first sensors that emit electromagnetic waves toward the object to be measured, receive reflected waves reflected by the electromagnetic waves hitting the object to be measured, and detect a predetermined displacement exhibited by the object to be measured; one or more second sensors that detect vibration generated or transmitted to at least one of the object to be measured or the first sensor, or the predetermined displacement; a motion sensor determination unit that determines, based on the predetermined displacement and vibration, a motion sensor that must be operated at least in order to remove or attenuate noise vibration superimposed on the predetermined displacement as noise;
  • a sensor system is configured that includes a sensor power management unit that supplies power only to the motion sensor.
  • the one or more first sensors and the one or more second sensors are operated at least to remove or attenuate the noise vibration superimposed on the predetermined displacement exhibited by the object to be measured. is determined by the motion sensor determining unit.
  • the sensor power management unit supplies power only to the motion sensors determined by the motion sensor determination unit.
  • the sensor system is configured to include a plurality of the first sensor and the second sensor in order to improve the detection accuracy of the predetermined displacement exhibited by the measurement object, the displacement is superimposed on the predetermined displacement, not on all the sensors. Power will be supplied only to those sensors that require minimal operation to eliminate or attenuate the noise oscillations. Therefore, even if a plurality of first sensors and second sensors are used in order to improve the detection accuracy of the predetermined displacement exhibited by the measurement object, the power consumption of the sensor system can be reduced without changing the detection accuracy. be able to
  • the present invention one or more first sensors that emit electromagnetic waves toward the object to be measured, receive reflected waves reflected by the electromagnetic waves hitting the object to be measured, and detect a predetermined displacement exhibited by the object to be measured; one or more second sensors that detect vibration generated or transmitted to at least one of the object to be measured or the first sensor, or the predetermined displacement; Based on the predetermined displacement and vibration, a calculation for removing or attenuating noise vibration superimposed on the predetermined displacement as noise from the predetermined displacement is performed by a plurality of combinations of the first sensor and the second sensor, or a second sensor.
  • a noise vibration removal unit that performs for a plurality of combinations of one sensor or a plurality of combinations of second sensors; In removing or attenuating the noise vibration, any combination that leads to a value closest to the true value of the predetermined displacement among the plurality of the predetermined displacements obtained by removing or attenuating the noise vibration is selected.
  • a motion sensor determination unit that determines a motion sensor that needs to be operated at least;
  • a sensor system is configured that includes a sensor power management unit that supplies power only to the motion sensor.
  • the calculation for removing or attenuating the noise vibration superimposed on the predetermined displacement as noise from the predetermined displacement is the noise vibration. This is done for various sensor combinations by the remover.
  • the motion sensor determination unit selects any combination leading to a value closest to the true value of the predetermined displacement among the plurality of predetermined displacements obtained by removing the noise vibration by the noise vibration removal unit. It is determined as a motion sensor that needs to be operated at least in order to remove or attenuate noise vibration superimposed on.
  • the sensor power management unit causes power to be supplied only to a combination of sensors determined as motion sensors by the motion sensor determination unit.
  • the sensor system is configured to include a plurality of the first sensor and the second sensor in order to improve the detection accuracy of the predetermined displacement exhibited by the measurement object, the displacement is superimposed on the predetermined displacement, not on all the sensors. Power will be supplied only to those sensors that require minimal operation to eliminate or attenuate the noise oscillations. Therefore, even if a plurality of first sensors and second sensors are used in order to improve the detection accuracy of the predetermined displacement exhibited by the measurement object, the power consumption of the sensor system can be reduced without changing the detection accuracy. be able to
  • the present invention constitutes a vehicle equipped with the sensor system described above.
  • the present invention even if a plurality of first sensors and second sensors are used in order to improve the detection accuracy of the predetermined displacement exhibited by the object to be measured, the power consumption is reduced without changing the detection accuracy. It is possible to provide a sensor system and a vehicle equipped with the same.
  • FIG. 1 is a block diagram showing a schematic configuration of a sensor system according to a first embodiment of the invention
  • FIG. 4 is a flowchart showing the flow of power supply control processing in the sensor system according to the first embodiment
  • 2 is a perspective view showing the interior of a vehicle equipped with the sensor system shown in FIG. 1 as a driver monitoring system
  • FIG. FIG. 7 is a block diagram showing a schematic configuration of a sensor system and a configuration of a noise vibration removing section according to a second embodiment of the present invention
  • 9 is a flow chart showing the flow of power supply control processing in the sensor system according to the second embodiment
  • FIG. 11 is a block diagram showing a schematic configuration of a sensor system according to a third embodiment of the present invention
  • FIG. FIG. 11 is a block diagram showing a schematic configuration of a sensor system according to a fourth embodiment of the present invention
  • FIG. FIG. 11 is a block diagram showing a schematic configuration of a sensor system according to a fifth embodiment of the present invention
  • FIG. 1 is a block diagram showing a schematic configuration of a sensor system 1 according to the first embodiment of the invention.
  • the sensor system 1 comprises one or more first sensors 2 , one or more second sensors 3 and a signal processor 4 .
  • the first sensor 2 is, for example, a radio wave sensor.
  • the radio wave sensor emits an electromagnetic wave toward the measurement object 5 and receives a reflected wave that is reflected by the electromagnetic wave hitting the measurement object 5 (the reflected wave is incident).
  • the radio wave sensor detects a predetermined displacement of the object 5 to be measured from the reflected waves, such as a body surface displacement of a human body, and outputs the detected predetermined displacement data to the signal processing device 4 .
  • the radio wave sensor is configured by, for example, Doppler radar, FMCW (Frequency Modulated Continuous Wave radar) radar, pulse radar, and the like.
  • the electromagnetic waves emitted by the radio wave sensor are described as radio waves, but the electromagnetic waves include a wide range of sound waves, light waves, and the like.
  • the first sensor 2 is, for example, a pressure sensor.
  • the first sensor 2 is, for example, a displacement sensor. Examples of displacement sensors include cameras and infrared lasers.
  • the second sensor 3 is, for example, a vibration sensor or a displacement sensor.
  • the vibration sensor is configured by, for example, a vibration sensor such as a 6-axis inertial sensor or a 3-axis acceleration sensor.
  • the displacement sensor is composed of a displacement sensor such as a pressure sensor. Examples of displacement sensors include cameras and infrared lasers.
  • the second sensor 3 detects vibrations generated or transmitted to at least one of the measurement object 5 and the first sensor (radio wave sensor) 2 .
  • the second sensor 3 is a displacement sensor
  • the second sensor 3 detects a predetermined displacement exhibited by the object 5 to be measured, for example, body surface displacement of the human body from pressure received by the pressure sensor from the human body.
  • the pressure sensor functions as a vital sensor that detects vital signs of the human body.
  • the second sensor 3 outputs the detected vibration data or displacement data such as body surface displacement to the signal processing device 4 .
  • the signal processing device 4 includes a motion sensor determination unit 4a and a sensor power management unit 4b.
  • the motion sensor determination unit 4a determines a motion sensor that must be operated at least in order to remove or attenuate noise vibration that is superimposed as noise on a predetermined displacement exhibited by the measurement object 5.
  • FIG. any one of the first sensor 2 or the second sensor 3, or the plurality of first sensors 2, or the plurality of second sensors 3, or the first sensor 2 and the second sensor 3 A combination or multiple combinations of the first sensor 2 and the second sensor 3 are determined. This determination is made based on the predetermined displacement detected by the first sensor 2 and the vibration or predetermined displacement detected by the second sensor 3 .
  • the type of motion sensor determined by the motion sensor determination unit 4a is an example, and any one of the above types may be determined as the motion sensor.
  • Predetermined displacement data detected by the first sensor 2 and vibration data or displacement data detected by the second sensor 3 include predetermined displacement data exhibited by the measurement object 5 and the predetermined displacement data. One or both of superimposed noise vibration component data is included.
  • the motion sensor determination unit 4a determines that the vehicle is in an idling state when noise vibration is not detected by either the first sensor 2 or the second sensor 3, for example, when the sensor system 1 is used for a driver monitoring system (DMS). or an electric vehicle and no noise vibration is detected, only one of the first sensor 2 or the second sensor 3 that detects a predetermined displacement is determined to be the motion sensor.
  • DMS driver monitoring system
  • the operation sensor determination unit 4a determines the sensor to be operated according to the vibration elimination method of the noise vibration elimination unit provided in the signal processing device 4 as will be described later.
  • the noise vibration elimination unit provided in the latter stage subtracts the detection data of another sensor that detects noise vibration from the detection data of the sensor that detects both the predetermined displacement and noise vibration.
  • the vibration elimination method of the noise vibration elimination unit is the subtraction elimination method that eliminates or attenuates the noise vibration in this way, and the total number of the first sensor 2 and the second sensor 3 is three or more
  • the motion sensor determination unit 4a determines the motion sensor as follows.
  • the motion sensor determination unit 4a includes any one of the first sensor 2 or the second sensor 3 that detects a predetermined displacement and noise vibration, and any one of the other first sensor 2 or the second sensor that detects noise vibration.
  • a combination with 2 sensors 3 is determined as a motion sensor.
  • the noise vibration removal unit may use a blind sound source separation method to separate noise vibration from a predetermined displacement.
  • the vibration elimination method is the blind sound source separation method and the total number of the first sensors 2 and the second sensors 3 is three or more
  • the motion sensor determination unit 4a determines motion sensors as follows. That is, the motion sensor determination unit 4a includes either one of the first sensor 2 or the second sensor 3 that detects both the predetermined displacement and the noise vibration, and the other sensor that detects both the predetermined displacement and the noise vibration. A combination with one first sensor 2 or second sensor 3 is determined as a motion sensor.
  • the sensor power management unit 4b supplies power only to the first sensor 2 or the second sensor 3 determined as the motion sensor by the motion sensor determination unit 4a, or a combination thereof. Therefore, power is not supplied to the remaining sensors that have not been determined as motion sensors.
  • the sensor power management unit 4b may directly control power supply on or off to the first sensor 2 or the second sensor 3, or a combination thereof, or , a command to turn on or off the power supply may be output to each of these sensors.
  • FIG. 2 is a flow chart showing the flow of power supply control processing performed for each sensor in the sensor system 1 according to the first embodiment of the present invention. Steps S101 to S106 performed in this power supply control process are performed by a CPU (Central Processing Unit) provided in the signal processing device 4 according to a computer program stored in a memory provided in the signal processing device 4.
  • CPU Central Processing Unit
  • a detection data acquisition step S101 is performed to acquire data detected by each sensor.
  • predetermined displacement data presented by the measurement object 5, for example, body surface displacement data of a human body is obtained from reflected waves that are reflected by the measurement object 5 from the radio waves emitted from the radio wave sensor toward the measurement object 5. etc. are obtained.
  • This displacement data may contain noise vibration components caused by vibrations generated or transmitted to at least one of the measurement object 5 and the first sensor 2 .
  • the second sensor 3 acquires vibration data generated or transmitted to at least one of the measurement target 5 and the first sensor 2, or predetermined displacement data exhibited by the measurement target 5, such as body surface displacement data of the human body. .
  • Each acquired detection data is output from the first sensor 2 and the second sensor 3 to the motion sensor determination section 4a.
  • a data type determination step S102 for determining the type of data acquired by each sensor is performed by the motion sensor determination unit 4a.
  • the motion sensor determination unit 4a selects the displacement data closest to the true value of the given displacement data from either the first sensor 2 or the second sensor 3 that detects the given displacement data exhibited by the measurement object 5.
  • One sensor that detects is the primary sensor.
  • Predetermined displacement data detected by the main sensor of the measuring object 5 in a stationary state is stored in advance in a memory as reference data.
  • data predetermined as predetermined displacement data obtained for the object 5 to be measured in a stationary state is stored in advance in the memory as reference data.
  • the motion sensor determination unit 4a selects a specific frequency band from which predetermined displacement data can be obtained, for example, a frequency band of 0 to 10 Hz including respiration and heartbeat when the predetermined displacement data is body surface displacement data of a human body, or In the frequency band of 1 to 10 Hz, which includes only heartbeats, a sensor that detects data that has a high correlation with the reference data stored in memory, or that has a similar statistic such as kurtosis, is used to detect a predetermined displacement such as body surface displacement. Determine the sensor to detect.
  • the noise vibration in a specific frequency band A sensor that detects data that has a high correlation with the data or that has a similar statistic such as kurtosis is determined as a sensor that detects noise vibration superimposed on the predetermined displacement data.
  • the motion sensor determination unit 4a performs a noise vibration detection sensor determination step S103 for determining whether or not any sensor has acquired noise vibration data. That is, in the data type determination step S102, it is determined by the motion sensor determination unit 4a whether or not there is a sensor that detects noise vibration.
  • the main sensor removes or removes the noise vibration superimposed on the predetermined displacement. It is determined by the motion sensor determination unit 4a as a motion sensor that needs to be operated at least in order to be attenuated.
  • the operation sensor second determination step S105 the combination of sensors according to the noise vibration removal method in the latter stage is determined as a motion sensor by the motion sensor determination unit 4a.
  • any one of the first sensor 2 or the second sensor 3 that detects a predetermined displacement and noise vibration and any other sensor that detects noise vibration A combination with one of the first sensor 2 or the second sensor 3 is determined as a motion sensor by the motion sensor determination unit 4a.
  • the noise vibration removal method in the latter stage is the blind sound source separation method described above, any one of the first sensor 2 or the second sensor 3 that detects both the predetermined displacement and the noise vibration, the predetermined displacement and the noise A combination with any other first sensor 2 or second sensor 3 that detects both vibrations is determined as a motion sensor by the motion sensor determination unit 4a.
  • the sensor power supply management unit 4b performs a sensor power supply setting step S106 in which the power of each sensor is turned on or off according to the determination result of the motion sensor determination unit 4a.
  • the sensor power management unit 4b turns on the power of the main sensor, and the remaining sensors are turned on. The power is turned off by the sensor power management unit 4b.
  • the sensor power management unit 4b turns on the power of any combination of the sensors determined as the motion sensors according to the noise vibration removal method of the latter stage, and the remaining sensors are turned on. is turned off by the sensor power management unit 4b.
  • the motion sensor determination unit 4a determines the motion sensor that must be operated at least to remove or attenuate the vibration.
  • the sensor power management unit 4b supplies power only to the first sensor 2 or the second sensor 3 determined as the motion sensor by the motion sensor determination unit 4a, or a combination thereof. Therefore, in detecting the predetermined displacement exhibited by the object 5 to be measured, the operation of the sensor that does not affect the detection result of the predetermined displacement or has a slight effect is stopped.
  • the sensor system 1 is configured to include a plurality of the first sensor 2 and the second sensor 3 in order to improve the detection accuracy of the predetermined displacement exhibited by the measurement object 5, not all the sensors Power will be supplied only to those sensors that require the minimum amount of operation to remove or attenuate noise oscillations superimposed on the displacement of . Therefore, even if a plurality of first sensors 2 and second sensors 3 are used in order to improve the detection accuracy of a predetermined displacement exhibited by the object 5 to be measured, for example, the displacement of the body surface of a human body, the detection accuracy can be improved. Without changing, the power consumption of the sensor system 1 can be reduced.
  • the determination result of the noise vibration detection sensor determination step S103 in FIG. only one of the first sensor 2 or the second sensor 3 that detects a predetermined displacement is the main sensor, and the motion sensor determination unit 4a determines the motion sensor in the motion sensor first determination step S104. determined by Then, power is supplied only to the one motion sensor by the sensor power management unit 4b. Therefore, the power consumption of the sensor system 1 can be further reduced without changing the detection accuracy of the predetermined displacement exhibited by the object 5 to be measured.
  • the motion sensor second determination step S105 operates according to the subtraction elimination method. Any one sensor combination determined as a sensor allows the sensor system 1 to detect a predetermined displacement exhibited by the measurement object 5 without changing the detection accuracy and with low power consumption. In this case, from the combined data of the predetermined displacement and noise vibration detected by any one sensor determined as the motion sensor, the noise vibration data detected by any one other sensor is used as the noise vibration data of the latter stage. Subtraction by the vibration remover removes or attenuates the noise vibration from the given displacement exhibited by the measurement object 5 .
  • the predetermined displacement exhibited by the measurement object 5 can be detected by the sensor system 1 with low power consumption without changing the detection accuracy. can.
  • a blind sound source separation method is applied to the synthetic data of the following stage by the noise vibration elimination unit. By applying this method, the noise vibration is removed or attenuated from the predetermined displacement exhibited by the measurement object 5 by separating the predetermined displacement from the difference in strength of the noise vibration component superimposed on each sensor.
  • FIG. 3 is a perspective view showing the interior of a vehicle 11 equipped with such a sensor system 1 as a driver monitoring system.
  • the first sensor 2 is installed on the seat back 11a, the seat 11b, the dashboard 11c, the ceiling 11d of the vehicle interior, and the like, and the human body sitting on the seat is the measurement target 5.
  • radio waves are irradiated (emitted) to the human body.
  • the body surface displacement of the human body is detected by the first sensor 2 as a predetermined displacement of the object 5 to be measured.
  • the second sensor 3 is installed on the backrest 11a of the seat, the seat portion 11b, the floor 11e of the vehicle interior, and the like.
  • the second sensor 3 When the second sensor 3 is installed on the backrest 11a or the seat portion 11b of the seat and the second sensor 3 is a vibration sensor, body movements of the human body are detected as vibrations. Further, when the second sensor 3 is a pressure sensor, the body surface displacement of the human body is detected as the predetermined displacement of the measuring object 5 from the pressure received by the pressure sensor from the human body. Further, when the second sensor 3 is installed on the floor 11e of the vehicle interior, the vehicle vibration is detected as noise vibration superimposed on the body surface displacement of the human body.
  • the sensor system 1 can also be configured with a radio wave sensor, vibration or vital sensor, and a CPU included in a wearable device such as a smartwatch or a smartphone.
  • the radio wave sensor, vibration sensor or vital sensor, and CPU of the wearable device or smartphone function as the first sensor 2, the second sensor 3, and the signal processing device 4 shown in FIG.
  • the program of the flowchart shown in FIG. 2 is downloaded from the Internet network or the like as an application, for example, and installed in a wearable device or a smart phone.
  • FIG. 4(a) is a block diagram showing a schematic configuration of the sensor system 21 according to the second embodiment of the present invention.
  • the sensor system 21 differs from the sensor system 1 according to the first embodiment in that it includes a signal processing device 6 instead of the signal processing device 4 of the sensor system 1 according to the first embodiment. Points are the same as the sensor system 1 according to the first embodiment.
  • the signal processing device 6 includes a noise vibration elimination unit 6a, a motion sensor determination unit 6b, and a sensor power management unit 6c.
  • the noise vibration removing unit 6a removes noise vibration superimposed on the predetermined displacement as noise from the predetermined displacement based on the predetermined displacement and vibration exhibited by the measurement object 5 detected by the first sensor 2 or the second sensor 3. Or perform a decaying operation. This calculation is performed for multiple combinations of the first sensors 2 and the second sensors 3 , multiple combinations of the first sensors 2 , or multiple combinations of the second sensors 3 .
  • the motion sensor determination unit 6b selects a combination of sensors leading to a value closest to the true value of the predetermined displacement among a plurality of predetermined displacements obtained by removing the noise vibration by the noise vibration removal unit 6a. , is determined as a motion sensor that must be operated at least in order to remove or attenuate noise vibration superimposed on a predetermined displacement.
  • the sensor power management unit 6c supplies power only to the combination of sensors determined as motion sensors by the motion sensor determination unit 6b. Therefore, power is not supplied to the remaining sensors that have not been determined as motion sensors.
  • the power supply control by the sensor power management unit 6c is performed by the sensor power management unit 6c directly turning on the power supply to each sensor in the same manner as the sensor power management unit 4b of the sensor system 1 in the first embodiment. Alternatively, control may be performed to turn off the power supply, or an instruction to turn on or off the power supply may be output to each sensor.
  • the noise and vibration removing unit 6a may use blind sound source separation techniques such as independent component analysis (ICA) and independent vector analysis (IVA) for vibration removal.
  • ICA independent component analysis
  • IVA independent vector analysis
  • noise vibration data can be separated from predetermined displacement data, such as body surface displacement, in a combination of sensors determined as motion sensors.
  • the dimension of the predetermined displacement data is m in the SI unit system
  • the dimension of the noise vibration data is m/ s2 in the SI unit system.
  • the noise vibration removing unit 6a may use an adaptive filter using an algorithm such as LMS (Least Mean Square) for vibration removal.
  • LMS Least Mean Square
  • noise vibration data input from any other sensor can be separated from predetermined displacement data such as body surface displacement input from any sensor determined as a motion sensor.
  • FIG. 4(b) is a block diagram showing the circuit configuration of the noise vibration removing section 6a configured using such an adaptive filter 6a1.
  • the noise superimposed on predetermined displacement data such as body surface displacement propagates and superimposes a distance away from the source, so it is affected by the transfer characteristics in between. Therefore, the noise vibration removing section 6a obtains the difference between the predetermined displacement data and the noise vibration data using the subtractor 6a2, and feeds back the difference from the output of the subtractor 6a2 to the adaptive filter 6a1. Then, by adjusting the magnitude of the transfer coefficient W1 of the adaptive filter 6a1, the noise vibration data is separated from the predetermined displacement data, and the body surface displacement and the like are extracted.
  • the noise and vibration removing unit 6a may use Demucs, Sepformer, Conv-TasNet, etc. used for voice separation, or machine learning methods based on modifications thereof, for vibration removal.
  • noise vibration data can be separated from predetermined displacement data such as body surface displacement in a combination of sensors determined as motion sensors.
  • FIG. 5 is a flow chart showing the flow of power control processing performed for each sensor in the sensor system 21 according to the second embodiment of the present invention.
  • Each step S201 to S204 performed in this power supply control process is also performed by the CPU provided in the signal processing device 6 according to the computer program stored in the memory provided in the signal processing device 6.
  • FIG. 5 is a flow chart showing the flow of power control processing performed for each sensor in the sensor system 21 according to the second embodiment of the present invention.
  • a detection data acquisition step S201 is performed to acquire data detected by each sensor.
  • Predetermined displacement data exhibited by the object 5 to be measured is obtained from the reflected wave.
  • the second sensor 3 acquires vibration data generated or transmitted to at least one of the measurement target 5 and the first sensor 2, or predetermined displacement data exhibited by the measurement target 5, such as body surface displacement data of the human body. .
  • the noise vibration removing unit 6a performs a noise vibration removing step S202 for removing noise vibration from predetermined displacement data by any of the vibration removing methods described above. This processing is performed for various combinations of the first sensors 2 and the second sensors 3, or the combinations of the first sensors 2, or the combinations of the second sensors 3. .
  • a motion sensor determination step S203 for determining a combination of sensors to be detected is performed by the motion sensor determination unit 6b. This process is performed as follows.
  • the motion sensor determination unit 6b first determines the displacement closest to the true value of the given displacement data from either the first sensor 2 or the second sensor 3 that detects the given displacement data presented by the object 5 to be measured.
  • One sensor that detects data is the primary sensor.
  • Predetermined displacement data detected by the main sensor of the measuring object 5 in a stationary state is stored in advance in a memory as reference data.
  • data predetermined as predetermined displacement data obtained for the object 5 to be measured in a stationary state is stored in advance in the memory as reference data.
  • the motion sensor determination unit 6b selects a specific frequency band from which predetermined displacement data can be obtained, for example, a frequency band of 0 to 10 Hz including respiration and heartbeat when the predetermined displacement data is body surface displacement data of a human body, or In the frequency band of 1 to 10 Hz that includes only heartbeats, one combination of sensors that detect predetermined displacement data that has the highest correlation with the reference data stored in the memory, or that has the closest statistic such as kurtosis, A combination of sensors that detect a given displacement that is closest to the true value of the given displacement is determined. Then, the combination of sensors is determined as a motion sensor that requires minimum operation to remove or attenuate the noise vibration superimposed on the predetermined displacement.
  • a specific frequency band from which predetermined displacement data can be obtained for example, a frequency band of 0 to 10 Hz including respiration and heartbeat when the predetermined displacement data is body surface displacement data of a human body, or In the frequency band of 1 to 10 Hz that includes only heartbeats, one combination of sensors that detect
  • the sensor power supply management unit 6c performs a sensor power supply setting step S204 in which the power of each sensor is turned on or off according to the determination result of the motion sensor determination unit 6b.
  • the sensor power management unit 6c turns on the power supply for only one combination of sensors determined as motion sensors by the motion sensor determination unit 6b, and the power supply for the remaining sensors is turned off by the sensor power management unit 6c. be done.
  • noise vibration superimposed on the predetermined displacement exhibited by the measurement object 5 is generated based on the predetermined displacement and vibration detected by any combination of the sensors.
  • An operation is performed to remove or attenuate from the displacement of .
  • This calculation is performed for various combinations of sensors by the noise vibration removing unit 6a in the noise vibration removing step S202.
  • the motion sensor determination step S203 the motion sensor determination unit 6b derives the value closest to the true value of the predetermined displacement among the plurality of predetermined displacements obtained by removing the noise vibration by the noise vibration removal unit 6a. Any combination is determined as a motion sensor.
  • the motion sensor is a motion sensor that requires minimal motion to remove or attenuate noise vibration superimposed on a predetermined displacement.
  • the sensor power management unit 6c supplies power only to the combination of sensors determined as motion sensors by the motion sensor determination unit 6b.
  • the sensor system 21 is configured to include a plurality of the first sensors 2 and the second sensors 3 in order to improve the detection accuracy of the predetermined displacement exhibited by the measurement object 5, not all the sensors Power will be supplied only to those sensors that require the minimum amount of operation to remove or attenuate noise oscillations superimposed on the displacement of . Therefore, even if a plurality of first sensors 2 and second sensors 3 are used in order to improve the detection accuracy of the predetermined displacement exhibited by the measurement object 5, the sensor system 21 does not change the detection accuracy. Power consumption can be reduced.
  • the sensor system 21 according to the second embodiment can also be applied to a driver monitoring system by appropriately arranging the first sensor 2 and the second sensor 3 in the cabin of the vehicle 11 as described with reference to FIG. can be done. In this case, it is possible to provide the vehicle 11 equipped with the sensor system 21 capable of reducing power consumption without changing the detection accuracy of a predetermined displacement such as body surface displacement.
  • FIG. 6 is a block diagram showing a schematic configuration of a sensor system 1A according to the third embodiment of the invention.
  • the sensor system 1A includes a signal processing device 4 with a noise vibration removal unit 4c and a vital sign detection unit 4d. Other points are the same as the sensor system 1 according to the first embodiment.
  • the noise vibration removal unit 4c performs a calculation to remove or attenuate the noise vibration detected by the combination of the sensors determined as the motion sensors by the motion sensor determination unit 4a from the body surface displacement detected as a predetermined displacement by the combination. I do. This calculation is performed by the motion sensor determination unit 4a in the motion sensor second determination step S105 when the determination result of the noise vibration detection sensor determination step S103 in FIG. It is performed for the combination of sensors determined as
  • the vital sign detection unit 4d detects the vital signs of the human body from the body surface displacement whose noise vibration has been removed or attenuated by the noise vibration removal unit 4c.
  • the vital signs are the heart rate, heart rate variability, respiration rate, respiration depth, and the like of the human body that is the object 5 to be measured.
  • the vital sign detection unit 4d determines that the determination result of the noise vibration detection sensor determination step S103 in FIG. , the vital signs of the human body are detected from the body surface displacement data of the human body detected as a predetermined displacement by the main sensor. In this case, the noise vibration removing section 4c is not used.
  • the noise vibration detected by the combination of the sensors determined in step S105 as the motion sensors is detected by the noise vibration removal unit 4c, and the body detected by the combination is detected.
  • the vital signs of the human body After being removed or attenuated from the surface displacement, the vital signs of the human body are detected by the vital sign detector 4d.
  • the vital sign detection unit 4d detects the human body without going through the noise vibration removal unit 4c. Vital signs are detected. Therefore, the vital signs of the human body can be detected by the sensor system 1A with low power consumption without deteriorating the vital sign detection accuracy of the human body.
  • the sensor system 1A according to the third embodiment can also be applied to a driver monitoring system by appropriately arranging the first sensor 2 and the second sensor 3 in the vehicle interior of the vehicle 11 as described with reference to FIG. can be done. In this case, it is possible to provide the vehicle 11 equipped with the sensor system 1A capable of reducing power consumption without deteriorating the performance of estimating the vital signs of the human body.
  • FIG. 7 is a block diagram showing a schematic configuration of a sensor system 21A according to the fourth embodiment of the invention.
  • the sensor system 21A differs from the sensor system 21 according to the second embodiment in that the signal processing device 6 is provided with a vital sign detection unit 6d, and the measurement target 5 is a human body. is similar to the sensor system 21 according to the embodiment of .
  • the vital sign detection unit 6d detects body surface displacements calculated by a combination of sensors determined as motion sensors by the motion sensor determination unit 6b among a plurality of body surface displacements whose noise vibrations have been removed or attenuated by the noise vibration removal unit 6a. Detect the vital signs of the human body from the displacement. According to the sensor system 21A according to the fourth embodiment, the vital signs of the human body can be detected by the sensor system 21A with low power consumption without deteriorating the vital sign detection accuracy of the human body.
  • the sensor system 21A according to the fourth embodiment can also be applied to a driver monitoring system by appropriately arranging the first sensor 2 and the second sensor 3 in the vehicle interior of the vehicle 11 as described with reference to FIG. can be done. Also in this case, it is possible to provide the vehicle 11 equipped with the sensor system 21A capable of reducing power consumption without deteriorating the performance of estimating the vital signs of the human body.
  • FIG. 8 is a block diagram showing a schematic configuration of a sensor system 21B according to the fifth embodiment of the invention.
  • the second sensor 3 in the sensor system 21 according to the second embodiment is configured by a wearable device such as a smartwatch or a vibration sensor or a vital sensor 3a built into the smartphone 7, and the measurement object 5 is a human body. is different from the sensor system 21 according to the second embodiment. Other points are the same as the sensor system 21 according to the second embodiment.
  • the vital sensor 3a built into the wearable device or smart phone 7 is a sensor capable of acquiring vitals, such as a PPG sensor (optical heart rate sensor) or an ECG sensor (electrocardiographic sensor).
  • the wearable device or smart phone 7 is not limited to these, and may be any mobile device having a communication function with the vibration sensor or vital sensor 3a.
  • communication between the vibration sensor or vital sensor 3a and the signal processing device 6 is performed wirelessly such as Bluetooth (registered trademark) or by wire.
  • the sensor power supply management unit 6c turns on or off the communication between the vibration sensor or vital sensor 3a and the signal processing device 6 without turning on or off the power of the vibration sensor or vital sensor 3a. It will be turned off. Turning on or off the power of the vibration sensor or vital sensor 3a is performed according to the convenience of the wearable device or smart phone 7 side.
  • the noise vibration superimposed on the body surface displacement or the body surface displacement exhibited by the measurement target 5 is detected by the vibration sensor or the vital sensor 3a built in the wearable device or the smartphone 7. detected. Therefore, the configuration of the sensor system 21B is simplified by using the vibration sensor or vital sensor 3a. Therefore, it is possible to reduce the power consumption of the sensor system 21B without changing the detection accuracy of body surface displacement while keeping the product price of the sensor system 21B low.
  • the second sensor 3 can be configured by a vibration sensor or vital sensor 3a built into a wearable device such as a smartwatch or a smart phone 7 . Also in this case, the same effects as those of the sensor system 21B according to the fifth embodiment are obtained.
  • the first sensor 2 and the wearable device or smart phone 7 serving as the vibration sensor or vital sensor 3a are placed in the vehicle interior of the vehicle 11 as described with reference to FIG. can be placed in the appropriate location and applied to the driver monitoring system. Also in this case, it is possible to provide the vehicle 11 equipped with the sensor system 21B capable of reducing power consumption without degrading the performance of estimating the vital signs of the human body.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Physiology (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Signal Processing (AREA)
  • Cardiology (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Artificial Intelligence (AREA)
  • Pulmonology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Electromagnetism (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
PCT/JP2022/043602 2021-12-10 2022-11-25 センサシステムおよびそれを備えた車両 Ceased WO2023106137A1 (ja)

Priority Applications (3)

Application Number Priority Date Filing Date Title
DE112022004878.6T DE112022004878T5 (de) 2021-12-10 2022-11-25 Sensorsystem und Fahrzeug, das dasselbe enthält
JP2023566239A JP7687442B2 (ja) 2021-12-10 2022-11-25 センサシステムおよびそれを備えた車両
US18/644,162 US20240268765A1 (en) 2021-12-10 2024-04-24 Sensor system and vehicle including the same

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2021-200763 2021-12-10
JP2021200763 2021-12-10

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US18/644,162 Continuation US20240268765A1 (en) 2021-12-10 2024-04-24 Sensor system and vehicle including the same

Publications (1)

Publication Number Publication Date
WO2023106137A1 true WO2023106137A1 (ja) 2023-06-15

Family

ID=86730204

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2022/043602 Ceased WO2023106137A1 (ja) 2021-12-10 2022-11-25 センサシステムおよびそれを備えた車両

Country Status (4)

Country Link
US (1) US20240268765A1 (https=)
JP (1) JP7687442B2 (https=)
DE (1) DE112022004878T5 (https=)
WO (1) WO2023106137A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2025014489A (ja) * 2023-07-18 2025-01-30 株式会社村田製作所 生体情報取得装置、及び生体情報取得方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017518511A (ja) * 2014-04-08 2017-07-06 ハルトマン，ユルゲン 緊張した駆動ベルトにおける振動の周波数を測定するデバイス、及び振動周波数測定を実施する方法
US20170282828A1 (en) * 2014-09-10 2017-10-05 Iee International Electronics & Engineering S.A. Radar sensing of vehicle occupancy

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021071326A (ja) 2019-10-29 2021-05-06 パナソニックＩｐマネジメント株式会社 信号処理システム、及びセンサシステム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017518511A (ja) * 2014-04-08 2017-07-06 ハルトマン，ユルゲン 緊張した駆動ベルトにおける振動の周波数を測定するデバイス、及び振動周波数測定を実施する方法
US20170282828A1 (en) * 2014-09-10 2017-10-05 Iee International Electronics & Engineering S.A. Radar sensing of vehicle occupancy

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2025014489A (ja) * 2023-07-18 2025-01-30 株式会社村田製作所 生体情報取得装置、及び生体情報取得方法
JP7831427B2 (ja) 2023-07-18 2026-03-17 株式会社村田製作所 生体情報取得装置、及び生体情報取得方法

Also Published As

Publication number Publication date
JPWO2023106137A1 (https=) 2023-06-15
JP7687442B2 (ja) 2025-06-03
DE112022004878T5 (de) 2024-08-01
US20240268765A1 (en) 2024-08-15

Similar Documents

Publication Publication Date Title
EP3016102B1 (en) Control device and control method
US11275442B2 (en) Echolocation with haptic transducer devices
EP3175629B1 (en) System and method of microphone placement for noise attenuation
KR102846551B1 (ko) 원격 마이크로폰 기술을 위한 근접 보상 시스템
HK1208983A1 (en) System and method for detection of speech related acoustic signals by using a laser microphone
US10446172B2 (en) Noise source visualization data accumulation and display device, method, and acoustic camera system
JP5919722B2 (ja) 生体信号推定装置及びプログラム
CN113302837A (zh) 骨传导换能器组件的校准
US20190223745A1 (en) Apparatus and method of measuring fatigue
WO2023106137A1 (ja) センサシステムおよびそれを備えた車両
KR20220034836A (ko) 조직 전도 오디오 시스템에서의 누화 완화
EP4059418B1 (en) Apparatus and method for estimating bio-information
JP7658460B2 (ja) センサシステムおよびそれを備えた車両並びに電波送受信方法
WO2021001818A1 (en) Contact-free acoustic monitoring and measurement system
US20190374118A1 (en) Method and apparatus for pulse wave measurement
WO2020086482A1 (en) Motion artifact suppression in ultrasound color flow imaging
JP2019201698A (ja) 生体検知装置
US12267653B2 (en) Noise reduction system, method of operating the system and use of the system
US11996076B2 (en) Active noise reduction device, vehicle, and anomaly determination method
KR102141644B1 (ko) 생체신호 획득 장치, 차량 및 그 제어방법
JP7831427B2 (ja) 生体情報取得装置、及び生体情報取得方法
JP2022014166A (ja) 乗員生体情報検出装置、および、乗員生体情報検出プログラム
EP3664078A1 (en) Vehicle noise cancelling
US11664002B2 (en) Active noise control device and vehicle
US20240029703A1 (en) Noise reduction system for actively compensating background noise, method of operating the system and use of the system

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22904068

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2023566239

Country of ref document: JP

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 112022004878

Country of ref document: DE

122 Ep: pct application non-entry in european phase

Ref document number: 22904068

Country of ref document: EP

Kind code of ref document: A1