WO2018135338A1 - State detecting device - Google Patents

State detecting device Download PDF

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Publication number
WO2018135338A1
WO2018135338A1 PCT/JP2018/000214 JP2018000214W WO2018135338A1 WO 2018135338 A1 WO2018135338 A1 WO 2018135338A1 JP 2018000214 W JP2018000214 W JP 2018000214W WO 2018135338 A1 WO2018135338 A1 WO 2018135338A1
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Prior art keywords
level
operation amount
state
state detection
detection unit
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PCT/JP2018/000214
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French (fr)
Japanese (ja)
Inventor
健司 鳴海
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株式会社東海理化電機製作所
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Publication of WO2018135338A1 publication Critical patent/WO2018135338A1/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems

Definitions

  • the present invention relates to a state detection device.
  • the fatigue determination system includes a unit that detects a change in the posture of the driver, and a unit that determines whether the driver is fatigued based on the appearance frequency of the posture change detected by the unit.
  • the unit for detecting the fluctuation of the pressure sensor is provided with a pair of left and right pressure sensors on the driver seat.
  • the standard deviation of each of the difference in amount (dL-dR) is obtained, and for each of the difference (LR), the sum (L + R), and the difference in change (dL-dR), an integer multiple of the standard deviation (for example, 3 times) ) Is defined as an abnormal value, the number of times the abnormal value appears per fixed time is counted, and the sum (L + R) abnormal value appears from the number of times the difference (LR) abnormal value appears.
  • the number of times Subtract the number of times an abnormal value of the amount difference (dL-dR) has appeared, and if the subtraction result takes a “positive” value and tends to increase, determine that the driver is tired It has
  • this state detection device whether the driver is tired from the appearance frequency by detecting whether the posture changes such as turning the neck, arm, shoulder or changing the sitting position. It can be accurately determined whether or not.
  • the objective of this invention is providing the state detection apparatus which can detect the state in multiple levels.
  • a state detection device has the following configurations [1] to [6].
  • Operation amount detection unit for detecting an operation amount per fixed time by an operator and an appearance frequency of the operation amount, and data in which the operation amount and the appearance frequency are measured and associated for each of a plurality of state levels And a plurality of levels of the operation amount, a frequency threshold value for classifying the state level corresponding to each level, and the operation amount and the appearance frequency detected by the operation amount detection unit,
  • a state detection device comprising: a state detection unit that detects a plurality of state levels of the operator by determining a state level corresponding to each level with reference to the state level.
  • a state detection device that can detect states at a plurality of levels.
  • FIG. 1 is a graph showing the relationship between the operation amount (level) and the appearance frequency for each fixed time, using levels 1 to 5 as parameters.
  • FIG. 2 is a block diagram showing a state detection apparatus according to the embodiment of the present invention.
  • FIG. 3 is a flowchart showing an operation flow of the state detection apparatus according to the embodiment of the present invention.
  • FIG. 4 is a correspondence table showing the relationship between the sum of the steering angles (level) and the drowsiness level at regular intervals during driving of the vehicle.
  • FIG. 5 is a graph showing, as two-dimensional data, the relationship between the total sum of steering angles (level) and the appearance frequency at regular time intervals divided by parameters of drowsiness levels 1 to 5 based on FIG.
  • the state detection device 1 includes an operation amount detection unit 10 that detects an operation amount and an appearance frequency of an operation amount for each fixed time by an operator, and includes an operation amount and an appearance frequency in a plurality of state levels.
  • the data unit 20 measured and associated with each other, the frequency threshold value for classifying the state level corresponding to each level, and the operation amount detected by the operation amount detection unit and the appearance frequency in a plurality of levels of operation amount
  • the state detection unit 30 is configured to detect a plurality of state levels of the operator by determining the state level corresponding to each level with reference to the data unit 20.
  • the operation amount detection unit 10 detects the operation amount by the operator every predetermined time at a plurality of levels.
  • FIG. 1 is a graph showing the relationship between the manipulated variable (level) and the appearance frequency at regular time intervals, using levels 1 to 5 as parameters.
  • the operation amount detection unit 10 detects the operation amount by measuring the appearance frequency at an arbitrary level. For example, in FIG. 1, the appearance frequency at level 1 (amount of operation per fixed time) is measured, the appearance frequency at level 2 (the amount of operation per fixed time), and the level 3 (the amount of operation per fixed time).
  • the operation amount is detected at a plurality of levels, such as by measuring the appearance frequency of the.
  • the operation amount detection unit 10 is, for example, a steering angle sensor that detects a steering angle as angle information.
  • the operation amount detection unit 10 may integrate the steering angle at regular time intervals and output it to the state detection unit 30. Further, when the operation amount detection unit 10 is a steering angle sensor that sequentially detects the steering angle, the operation amount detection is performed by integrating the steering angle at regular intervals within the state detection unit 30. Also good.
  • the data unit 20 is obtained in advance as the two-dimensional data SD for each level, with respect to the relationship between the operation amount for every fixed time and the appearance frequency. For example, it is stored in a table format by a combination of (operation amount, appearance frequency, level).
  • the data unit 20 is configured so that it can be referred to from the state detection unit 30 as needed. As shown in FIG. 2, the data unit 20 may be stored in an external storage unit of the state detection unit 30 so that it can be referred to, or may be stored in an internal memory of the state detection unit 30. .
  • the state detection unit 30 includes, for example, a CPU (Central Processing Unit) that performs operations and processing on acquired data according to a stored program, a RAM (Random Access Memory) that is a semiconductor memory, a ROM (Read Only Memory), and the like. It is a microcomputer configured.
  • the ROM stores, for example, a program for operating the state detection unit 30, a frequency threshold value for level determination, and the like.
  • the RAM is used as a storage area for temporarily storing calculation results and the like.
  • FIG. 3 is a flowchart showing an operation flow of the state detection apparatus according to the embodiment of the present invention. Hereinafter, based on this flowchart, operation
  • the state detection device 1 according to the present embodiment detects a plurality of state levels. Here, the case where the state levels at four levels of level 1, level 2, level 3, and level 4 are detected. explain.
  • State detection unit 30 measures the frequency of occurrence H 1 at level 1 (Step1). That is, the state detection unit 30 detects the appearance frequency H 1 at the level 1 (the operation amount per fixed time of the level 1) based on the signal H 1 input from the operation amount detection unit 10.
  • the state detection unit 30, the appearance frequency H 1 determines whether exceeds the frequency threshold Th1 (Step2).
  • the frequency threshold Th ⁇ b> 1 is set to be between the appearance frequencies in level 5 and level 4 in level 1.
  • level 5 and level 4 are classified.
  • Step3 the appearance frequency H 1 exceeds the frequency threshold Th1 If not, the process proceeds to Step 4 (Step 2: No).
  • the state detection unit 30 determines that the level is 5 (Step 3).
  • State detection unit 30 measures the frequency of occurrence of H 2 at a level 2 (Step4). That is, the state detection unit 30 detects the appearance frequency H 2 at the level 2 (the operation amount per fixed time of the level 2) based on the signal H 2 input from the operation amount detection unit 10.
  • the frequency threshold Th ⁇ b> 2 is set to be between the appearance frequencies in the level 4 and the level 3 in the level 2. Thus, level 4 and level 3 are classified.
  • Step6 the occurrence frequency H 2 exceeds the frequency threshold Th2
  • Step 7 the process proceeds to Step 7 (Step 5: No).
  • the state detection unit 30 determines that the level is 4 (Step 6).
  • State detection unit 30 measures the frequency of occurrence H 3 at levels 3 (Step7). That is, the state detection unit 30 detects the appearance frequency H 3 at the level 3 (the operation amount per fixed time of the level 3) based on the signal H 3 input from the operation amount detection unit 10.
  • the state detection unit 30, the appearance frequency H 3 determines whether exceeds the frequency threshold Th3 (Step8).
  • the frequency threshold Th3 is set to be between the appearance frequencies in the level 3 and the level 2 in the level 3. Thus, level 3 and level 2 are classified. If the appearance frequency H3 exceeds the frequency threshold Th3 with reference to the two-dimensional data SD obtained from the data unit 20, the process proceeds to Step 9 (Step 8: Yes), and the appearance frequency H3 does not exceed the frequency threshold Th3. In this case, the process proceeds to Step 10 (Step 8: No).
  • the state detection unit 30 determines level 3 (Step 9).
  • State detection unit 30 measures the frequency of occurrence H 4 at level 4 (Step10). That is, the state detection unit 30 detects the appearance frequency H 4 at the level 4 (the operation amount per fixed time of the level 4) based on the signal H 4 input from the operation amount detection unit 10.
  • the state detection unit 30, the appearance frequency H 4 to determine whether it exceeds a frequency threshold Th4 (Step11).
  • the frequency threshold Th4 is set to be between the appearance frequencies in the level 2 and the level 1 in the level 4. Thus, level 2 and level 1 are classified.
  • the process proceeds to Step12 (Step11: Yes)
  • the appearance frequency H 4 exceeds the frequency threshold Th4 If not, the process proceeds to Step 13 (Step 11: No).
  • the state detection unit 30 determines level 2 (Step 12).
  • the state detection unit 30 determines that the level is 1 (Step 13).
  • the operation as described above it is possible to detect a plurality of state levels by determining and classifying a plurality of levels by using a frequency threshold value for each level in a plurality of levels.
  • the above determination procedure is an example, and for example, determination can be made in the order of levels 1 and 2 to level 5. Further, the determination of each level is facilitated by determining where the interval between the levels to be classified is large, and the determination accuracy is improved. Further, determination accuracy can be improved by performing determination at a certain level at a plurality of levels.
  • FIG. 4 is a correspondence table showing the relationship between the sum of the steering angles (level) and the drowsiness level at regular intervals during driving of the vehicle.
  • FIG. 4 shows from the top as sleepiness level 5 (very sleepy), sleepiness level 4 (sleepy), sleepiness level 3 (slightly sleepy), sleepiness level 2 (not sleepy), and sleepiness level 1 (not sleepy at all).
  • It is a distribution diagram of the integrated amount of steering angle change for each drowsiness level, summarizing the measurement results in which the steering angle total for a certain time is plotted in the right direction.
  • FIG. 5 is a graph showing the relationship between the rudder angle sum (level) and the appearance frequency at regular intervals divided by parameters of drowsiness levels 1 to 5 based on FIG.
  • the appearance frequency of the steering angle sum 500 (deg) or more is 18% or more within a certain time, it can be determined that the sleepiness level 4 (sleepy) or more.
  • region R shown by hatching in FIG. 5 is an area
  • a desired level of sleepiness can be classified by selecting an appropriate level and making a determination using, for example, the frequency threshold extracted from FIG. This makes it possible to detect the drowsiness level of the vehicle driver (for example, a stepped level from being quite sleepy to not sleeping at all).
  • the state detection device 1 includes an operation amount detection unit 10 that detects an operation amount and an appearance frequency of an operation amount per fixed time by an operator, and an operation amount and an appearance frequency in a plurality of states.
  • the data unit 20 measured and associated for each level, the frequency threshold for classifying the state level corresponding to each level in a plurality of levels of operation amount, the operation amount detected by the operation amount detection unit, and the appearance frequency
  • the state detection unit 30 is configured to detect a plurality of state levels of the operator by determining the state level corresponding to each level with reference to the data unit 20.
  • the state detection apparatus 1 which concerns on this Embodiment is applicable to the drowsiness level state detection apparatus which detects the drowsiness level of the driver
  • the driver can drive the vehicle. It becomes possible to detect the drowsiness level in the state of being. For example, by using the frequency threshold extracted from FIG. 4, a desired sleepiness level can be classified. This makes it possible to detect the drowsiness level of the vehicle driver (for example, a stepped level from being quite sleepy to not sleeping at all).

Abstract

A state detecting device has: an operation amount detection unit 10 that detects an operation amount for each fixed time by an operator, and the appearance frequency of the operation amount; a data unit 20 with which the operation amount and the appearance frequency are measured and correlated for each of a plurality of state levels; and a state detection unit 30 that, for a plurality of standards of the operation amount, detects the plurality of state levels of an operator by referencing the data unit 20 to determine the state level correlating to each standard from the frequency threshold for distinguishing the state levels in correspondence with each standard, and the operation amount and the appearance frequency detected by the operation amount detection unit.

Description

状態検知装置Condition detection device 関連出願の相互参照Cross-reference of related applications
本出願は、日本国特許出願２０１７－００８８２０号の優先権を主張するものであり、日本国特許出願２０１７－００８８２０号の全内容を本出願に参照により援用する。 This application claims the priority of Japanese Patent Application No. 2017-008820, and the entire contents of Japanese Patent Application No. 2017-008820 are incorporated herein by reference.
本発明は、状態検知装置に関する。 The present invention relates to a state detection device.
ドライバーの疲労の度合いを正確に判定することが出来る様な疲労判定システム及び疲労判定方法に関する状態検知装置が知られている（例えば、特許文献１参照）。 There is known a state detection device relating to a fatigue determination system and a fatigue determination method capable of accurately determining the degree of fatigue of a driver (see, for example, Patent Document 1).
この疲労判定システムは、ドライバーの姿勢の変動を検出するユニットと、該ユニットで検出された姿勢変動の出現頻度からドライバーが疲労しているか否かを判定するユニットとを有し、ドライバーの姿勢変化の変動を検出するユニットは、ドライバーシートに左右一対設けられた圧力センサを備え、判定するユニットは、左右の圧力センサの検出結果の差（Ｌ－Ｒ）、和（Ｌ＋Ｒ）、検出結果の変化量の差（ｄＬ－ｄＲ）の各々の標準偏差を求め、差（Ｌ－Ｒ）、和（Ｌ＋Ｒ）、変化量の差（ｄＬ－ｄＲ）の各々について標準偏差の整数倍（例えば、３倍）よりも大きい値を異常値と定義し、異常値が一定時間当たりに出現した回数をカウントし、差（Ｌ－Ｒ）の異常値が出現した回数から、和（Ｌ＋Ｒ）の異常値が出現した回数と、変化量の差（ｄＬ－ｄＲ）の異常値が出現した回数を減算し、減算結果が「正」の値をとり、且つ、増加する傾向がある場合には、ドライバーが疲労していると判定する機能を有して構成されている。 The fatigue determination system includes a unit that detects a change in the posture of the driver, and a unit that determines whether the driver is fatigued based on the appearance frequency of the posture change detected by the unit. The unit for detecting the fluctuation of the pressure sensor is provided with a pair of left and right pressure sensors on the driver seat. The standard deviation of each of the difference in amount (dL-dR) is obtained, and for each of the difference (LR), the sum (L + R), and the difference in change (dL-dR), an integer multiple of the standard deviation (for example, 3 times) ) Is defined as an abnormal value, the number of times the abnormal value appears per fixed time is counted, and the sum (L + R) abnormal value appears from the number of times the difference (LR) abnormal value appears. The number of times Subtract the number of times an abnormal value of the amount difference (dL-dR) has appeared, and if the subtraction result takes a “positive” value and tends to increase, determine that the driver is tired It has a function.
この状態検知装置によれば、ドライバーが首や腕、肩を回したり、座る位置を変えたりする等、その姿勢を変動するか否かを検出して、その出現頻度からドライバーが疲労しているか否かを正確に判定することが出来るとされている。 According to this state detection device, whether the driver is tired from the appearance frequency by detecting whether the posture changes such as turning the neck, arm, shoulder or changing the sitting position. It can be accurately determined whether or not.
国際公開第２００６／０５４５４２号International Publication No. 2006/054542
特許文献１に開示された状態検知装置は、判定したい水準（一定時間当たりの姿勢変動）が複数ある場合、１つの頻度閾値（異常値）による出現頻度の判定では区分ができない。 In the state detection device disclosed in Patent Document 1, when there are a plurality of levels to be determined (posture fluctuation per fixed time), classification cannot be performed by determining the appearance frequency based on one frequency threshold (abnormal value).
本発明の目的は、複数水準での状態を検知することができる状態検知装置を提供することにある。 The objective of this invention is providing the state detection apparatus which can detect the state in multiple levels.
本発明の一実施形態による状態検知装置は、下記［１］～［６］の構成を有する。 A state detection device according to an embodiment of the present invention has the following configurations [1] to [6].
［１］操作者による一定時間毎の操作量と前記操作量の出現頻度を検出する操作量検出部と、前記操作量と前記出現頻度とを複数の状態レベル毎に測定して対応付けしたデータ部と、前記操作量の複数水準において、各水準に対応して前記状態レベルを区分する頻度閾値と、前記操作量検出部により検出される前記操作量と前記出現頻度とから、前記データ部を参照して前記各水準に対応する状態レベルを判定することにより、前記操作者の複数の状態レベルを検知する状態検知部と、を有する、状態検知装置。 [1] Operation amount detection unit for detecting an operation amount per fixed time by an operator and an appearance frequency of the operation amount, and data in which the operation amount and the appearance frequency are measured and associated for each of a plurality of state levels And a plurality of levels of the operation amount, a frequency threshold value for classifying the state level corresponding to each level, and the operation amount and the appearance frequency detected by the operation amount detection unit, A state detection device comprising: a state detection unit that detects a plurality of state levels of the operator by determining a state level corresponding to each level with reference to the state level.
［２］前記操作者は車両の運転者であり、前記操作量はステアリングの一定時間毎の舵角操舵量、前記出現頻度は前記舵角操舵量の出現頻度である、上記［１］に記載の状態検知装置。 [2] The above-mentioned [1], wherein the operator is a driver of the vehicle, the operation amount is a steering angle steering amount at a certain time of steering, and the appearance frequency is an appearance frequency of the steering angle steering amount. State detection device.
［３］前記状態レベルは、前記操作者の前記車両の運転時における眠気レベルである、上記［２］に記載の状態検知装置。 [3] The state detection device according to [2], wherein the state level is a drowsiness level when the operator is driving the vehicle.
［４］前記眠気レベルは、眠さの状態レベルが複数段階に区分されている、上記［３］に記載の状態検知装置。 [4] The state detection apparatus according to [3], wherein the sleepiness level is divided into a plurality of stages of sleepiness.
［５］前記操作量検出部は、前記舵角操舵量を角度情報として検出する舵角センサであり、一定時間毎の前記舵角操舵量を積算する、上記［２］に記載の状態検知装置。 [5] The state detection device according to [2], wherein the operation amount detection unit is a rudder angle sensor that detects the rudder angle steering amount as angle information, and integrates the rudder angle steering amount at regular intervals. .
［６］前記状態検知部は、前記各水準として、区分したい前記状態レベル間の間隔が大きい水準で前記各水準に対応する前記状態レベルを判定する、上記［１］に記載の状態検知装置。 [6] The state detection device according to [1], wherein the state detection unit determines the state level corresponding to each level as a level with a large interval between the state levels desired to be classified.
本発明の一実施形態によれば、複数水準での状態を検知することができる状態検知装置を提供することができる。 According to one embodiment of the present invention, it is possible to provide a state detection device that can detect states at a plurality of levels.
図１は、一定時間毎の操作量（水準）と出現頻度の関係をレベル１から５をパラメータとして示すグラフである。FIG. 1 is a graph showing the relationship between the operation amount (level) and the appearance frequency for each fixed time, using levels 1 to 5 as parameters. 図２は、本発明の実施の形態に係る状態検知装置を示すブロック図である。FIG. 2 is a block diagram showing a state detection apparatus according to the embodiment of the present invention. 図３は、本発明の実施の形態に係る状態検知装置の動作フローを示すフローチャートである。FIG. 3 is a flowchart showing an operation flow of the state detection apparatus according to the embodiment of the present invention. 図４は、車両の運転時における一定時間毎の舵角総和（水準）と眠気レベルの関係を示す対応表である。FIG. 4 is a correspondence table showing the relationship between the sum of the steering angles (level) and the drowsiness level at regular intervals during driving of the vehicle. 図５は、図４に基づいて、一定時間毎の舵角総和（水準）と出現頻度との関係を眠気レベル１～５のパラメータで区分して２次元データとして表したグラフである。FIG. 5 is a graph showing, as two-dimensional data, the relationship between the total sum of steering angles (level) and the appearance frequency at regular time intervals divided by parameters of drowsiness levels 1 to 5 based on FIG.
（本発明の実施の形態）
本発明の実施の形態に係る状態検知装置１は、操作者による一定時間毎の操作量と操作量の出現頻度を検出する操作量検出部１０と、操作量と出現頻度とを複数の状態レベル毎に測定して対応付けしたデータ部２０と、操作量の複数水準において、各水準に対応して状態レベルを区分する頻度閾値と、操作量検出部により検出される操作量と出現頻度とから、データ部２０を参照して各水準に対応する状態レベルを判定することにより、操作者の複数の状態レベルを検知する状態検知部３０と、を有して構成されている。 (Embodiment of the present invention)
The state detection device 1 according to the embodiment of the present invention includes an operation amount detection unit 10 that detects an operation amount and an appearance frequency of an operation amount for each fixed time by an operator, and includes an operation amount and an appearance frequency in a plurality of state levels. The data unit 20 measured and associated with each other, the frequency threshold value for classifying the state level corresponding to each level, and the operation amount detected by the operation amount detection unit and the appearance frequency in a plurality of levels of operation amount The state detection unit 30 is configured to detect a plurality of state levels of the operator by determining the state level corresponding to each level with reference to the data unit 20.
（操作量検出部１０）
操作量検出部１０は、操作者による一定時間毎の操作量を複数水準で検出する。ここで、図１は、一定時間毎の操作量（水準）と出現頻度の関係をレベル１から５をパラメータとして示すグラフである。操作量検出部１０は、図１において、任意の水準における出現頻度を測定することにより操作量検出を行なう。例えば、図１において、水準１（一定時間毎の操作量）での出現頻度を測定、水準２（一定時間毎の操作量）での出現頻度を測定、水準３（一定時間毎の操作量）での出現頻度を測定する等の、複数の水準で操作量検出を行なう。 (Operation amount detection unit 10)
The operation amount detection unit 10 detects the operation amount by the operator every predetermined time at a plurality of levels. Here, FIG. 1 is a graph showing the relationship between the manipulated variable (level) and the appearance frequency at regular time intervals, using levels 1 to 5 as parameters. In FIG. 1, the operation amount detection unit 10 detects the operation amount by measuring the appearance frequency at an arbitrary level. For example, in FIG. 1, the appearance frequency at level 1 (amount of operation per fixed time) is measured, the appearance frequency at level 2 (the amount of operation per fixed time), and the level 3 (the amount of operation per fixed time). The operation amount is detected at a plurality of levels, such as by measuring the appearance frequency of the.
この操作量検出部１０は、車両であれば、例えば、操舵角を角度情報として検出する舵角センサである。また、操作量検出部１０は、一定時間毎の操舵角を積算して、状態検知部３０へ出力してもよい。また、操作量検出部１０が逐次操舵角を検出する舵角センサである場合は、状態検知部３０内部で一定の時間毎に操舵角を積算処理することにより操作量検出を実行するようにしてもよい。 If the vehicle is a vehicle, the operation amount detection unit 10 is, for example, a steering angle sensor that detects a steering angle as angle information. In addition, the operation amount detection unit 10 may integrate the steering angle at regular time intervals and output it to the state detection unit 30. Further, when the operation amount detection unit 10 is a steering angle sensor that sequentially detects the steering angle, the operation amount detection is performed by integrating the steering angle at regular intervals within the state detection unit 30. Also good.
（データ部２０）
データ部２０は、予め一定時間毎の操作量と出現頻度との関係を、レベル毎に２次元データＳＤとして求められたものである。例えば、（操作量、出現頻度、レベル）の組み合わせによりテーブル形式により記憶される。このデータ部２０は、状態検知部３０から必要に応じて随時参照できるように構成されている。データ部２０は、図２に示すように、状態検知部３０の外部記憶部に参照可能に記憶されていてもよく、また、状態検知部３０の内部メモリに記憶される形態であってもよい。 (Data part 20)
The data unit 20 is obtained in advance as the two-dimensional data SD for each level, with respect to the relationship between the operation amount for every fixed time and the appearance frequency. For example, it is stored in a table format by a combination of (operation amount, appearance frequency, level). The data unit 20 is configured so that it can be referred to from the state detection unit 30 as needed. As shown in FIG. 2, the data unit 20 may be stored in an external storage unit of the state detection unit 30 so that it can be referred to, or may be stored in an internal memory of the state detection unit 30. .
（状態検知部３０）
状態検知部３０は、例えば、記憶されたプログラムに従って、取得したデータに演算、加工等を行うＣＰＵ（Central Processing Unit）、半導体メモリであるＲＡＭ（Random Access Memory）及びＲＯＭ（Read Only Memory）などから構成されるマイクロコンピュータである。ＲＯＭには、例えば、状態検知部３０が動作するためのプログラム、レベル判定のための頻度閾値等が格納されている。ＲＡＭは、例えば、一時的に演算結果などを格納する記憶領域として用いられる。 (State detection unit 30)
The state detection unit 30 includes, for example, a CPU (Central Processing Unit) that performs operations and processing on acquired data according to a stored program, a RAM (Random Access Memory) that is a semiconductor memory, a ROM (Read Only Memory), and the like. It is a microcomputer configured. The ROM stores, for example, a program for operating the state detection unit 30, a frequency threshold value for level determination, and the like. For example, the RAM is used as a storage area for temporarily storing calculation results and the like.
（状態検知装置１の動作）
図３は、本発明の実施の形態に係る状態検知装置の動作フローを示すフローチャートである。以下、このフローチャートに基づいて、状態検知装置１の動作を説明する。本実施の形態に係る状態検知装置１は、複数の状態レベルを検知するものであるが、ここでは、水準１、水準２、水準３、水準４の４つの水準における状態レベルを検知する場合を説明する。 (Operation of the state detection device 1)
FIG. 3 is a flowchart showing an operation flow of the state detection apparatus according to the embodiment of the present invention. Hereinafter, based on this flowchart, operation | movement of the state detection apparatus 1 is demonstrated. The state detection device 1 according to the present embodiment detects a plurality of state levels. Here, the case where the state levels at four levels of level 1, level 2, level 3, and level 4 are detected. explain.
状態検知部３０は、水準１での出現頻度Ｈ１を測定する（Ｓｔｅｐ１）。すなわち、状態検知部３０は、操作量検出部１０から入力される信号Ｈ１に基づいて、水準１（水準１の一定時間毎の操作量）の時の出現頻度Ｈ１を検出する。 State detection unit 30 measures the frequency of occurrence H 1 at level 1 (Step1). That is, the state detection unit 30 detects the appearance frequency H 1 at the level 1 (the operation amount per fixed time of the level 1) based on the signal H 1 input from the operation amount detection unit 10.
次に、状態検知部３０は、出現頻度Ｈ１が頻度閾値Ｔｈ１を超えているかどうかを判断する（Ｓｔｅｐ２）。ここで、頻度閾値Ｔｈ１は、水準１において、レベル５とレベル４における出現頻度間になるように設定されている。これにより、レベル５とレベル４の区分をする。データ部２０から得られる２次元データＳＤを参照して、出現頻度Ｈ１が頻度閾値Ｔｈ１を超えている場合は、Ｓｔｅｐ３へ進み（Ｓｔｅｐ２：Ｙｅｓ）、出現頻度Ｈ１が頻度閾値Ｔｈ１を超えていない場合は、Ｓｔｅｐ４へ進む（Ｓｔｅｐ２：Ｎｏ）。 Then, the state detection unit 30, the appearance frequency H 1 determines whether exceeds the frequency threshold Th1 (Step2). Here, the frequency threshold Th <b> 1 is set to be between the appearance frequencies in level 5 and level 4 in level 1. As a result, level 5 and level 4 are classified. Referring to the two-dimensional data S D obtained from the data unit 20, if the appearance frequency H 1 exceeds the frequency threshold Th1, the process proceeds to Step3 (Step2: Yes), the appearance frequency H 1 exceeds the frequency threshold Th1 If not, the process proceeds to Step 4 (Step 2: No).
状態検知部３０は、レベル５と判定する（Ｓｔｅｐ３）。 The state detection unit 30 determines that the level is 5 (Step 3).
状態検知部３０は、水準２での出現頻度Ｈ２を測定する（Ｓｔｅｐ４）。すなわち、状態検知部３０は、操作量検出部１０から入力される信号Ｈ２に基づいて、水準２（水準２の一定時間毎の操作量）の時の出現頻度Ｈ２を検出する。 State detection unit 30 measures the frequency of occurrence of H 2 at a level 2 (Step4). That is, the state detection unit 30 detects the appearance frequency H 2 at the level 2 (the operation amount per fixed time of the level 2) based on the signal H 2 input from the operation amount detection unit 10.
次に、状態検知部３０は、出現頻度Ｈ２が頻度閾値Ｔｈ２を超えているかどうかを判断する（Ｓｔｅｐ５）。ここで、頻度閾値Ｔｈ２は、水準２において、レベル４とレベル３における出現頻度間になるように設定されている。これにより、レベル４とレベル３の区分をする。データ部２０から得られる２次元データＳＤを参照して、出現頻度Ｈ２が頻度閾値Ｔｈ２を超えている場合は、Ｓｔｅｐ６へ進み（Ｓｔｅｐ５：Ｙｅｓ）、出現頻度Ｈ２が頻度閾値Ｔｈ２を超えていない場合は、Ｓｔｅｐ７へ進む（Ｓｔｅｐ５：Ｎｏ）。 Then, the state detection unit 30, the appearance frequency H 2 to determine whether it exceeds a frequency threshold Th2 (Step5). Here, the frequency threshold Th <b> 2 is set to be between the appearance frequencies in the level 4 and the level 3 in the level 2. Thus, level 4 and level 3 are classified. Referring to the two-dimensional data S D obtained from the data unit 20, if the occurrence frequency H 2 exceeds the frequency threshold Th2, the process proceeds to Step6 (Step5: Yes), the occurrence frequency H 2 exceeds a frequency threshold Th2 If not, the process proceeds to Step 7 (Step 5: No).
状態検知部３０は、レベル４と判定する（Ｓｔｅｐ６）。 The state detection unit 30 determines that the level is 4 (Step 6).
状態検知部３０は、水準３での出現頻度Ｈ３を測定する（Ｓｔｅｐ７）。すなわち、状態検知部３０は、操作量検出部１０から入力される信号Ｈ３に基づいて、水準３（水準３の一定時間毎の操作量）の時の出現頻度Ｈ３を検出する。 State detection unit 30 measures the frequency of occurrence H 3 at levels 3 (Step7). That is, the state detection unit 30 detects the appearance frequency H 3 at the level 3 (the operation amount per fixed time of the level 3) based on the signal H 3 input from the operation amount detection unit 10.
次に、状態検知部３０は、出現頻度Ｈ３が頻度閾値Ｔｈ３を超えているかどうかを判断する（Ｓｔｅｐ８）。ここで、頻度閾値Ｔｈ３は、水準３において、レベル３とレベル２における出現頻度間になるように設定されている。これにより、レベル３とレベル２の区分をする。データ部２０から得られる２次元データＳＤを参照して、出現頻度Ｈ３が頻度閾値Ｔｈ３を超えている場合は、Ｓｔｅｐ９へ進み（Ｓｔｅｐ８：Ｙｅｓ）、出現頻度Ｈ３が頻度閾値Ｔｈ３を超えていない場合は、Ｓｔｅｐ１０へ進む（Ｓｔｅｐ８：Ｎｏ）。 Then, the state detection unit 30, the appearance frequency H 3 determines whether exceeds the frequency threshold Th3 (Step8). Here, the frequency threshold Th3 is set to be between the appearance frequencies in the level 3 and the level 2 in the level 3. Thus, level 3 and level 2 are classified. If the appearance frequency H3 exceeds the frequency threshold Th3 with reference to the two-dimensional data SD obtained from the data unit 20, the process proceeds to Step 9 (Step 8: Yes), and the appearance frequency H3 does not exceed the frequency threshold Th3. In this case, the process proceeds to Step 10 (Step 8: No).
状態検知部３０は、レベル３と判定する（Ｓｔｅｐ９）。 The state detection unit 30 determines level 3 (Step 9).
状態検知部３０は、水準４での出現頻度Ｈ４を測定する（Ｓｔｅｐ１０）。すなわち、状態検知部３０は、操作量検出部１０から入力される信号Ｈ４に基づいて、水準４（水準４の一定時間毎の操作量）の時の出現頻度Ｈ４を検出する。 State detection unit 30 measures the frequency of occurrence H 4 at level 4 (Step10). That is, the state detection unit 30 detects the appearance frequency H 4 at the level 4 (the operation amount per fixed time of the level 4) based on the signal H 4 input from the operation amount detection unit 10.
次に、状態検知部３０は、出現頻度Ｈ４が頻度閾値Ｔｈ４を超えているかどうかを判断する（Ｓｔｅｐ１１）。ここで、頻度閾値Ｔｈ４は、水準４において、レベル２とレベル１における出現頻度間になるように設定されている。これにより、レベル２とレベル１の区分をする。データ部２０から得られる２次元データＳＤを参照して、出現頻度Ｈ４が頻度閾値Ｔｈ４を超えている場合は、Ｓｔｅｐ１２へ進み（Ｓｔｅｐ１１：Ｙｅｓ）、出現頻度Ｈ４が頻度閾値Ｔｈ４を超えていない場合は、Ｓｔｅｐ１３へ進む（Ｓｔｅｐ１１：Ｎｏ）。 Then, the state detection unit 30, the appearance frequency H 4 to determine whether it exceeds a frequency threshold Th4 (Step11). Here, the frequency threshold Th4 is set to be between the appearance frequencies in the level 2 and the level 1 in the level 4. Thus, level 2 and level 1 are classified. Referring to the two-dimensional data S D obtained from the data unit 20, when the frequency of occurrence H 4 exceeds the frequency threshold Th4, the process proceeds to Step12 (Step11: Yes), the appearance frequency H 4 exceeds the frequency threshold Th4 If not, the process proceeds to Step 13 (Step 11: No).
状態検知部３０は、レベル２と判定する（Ｓｔｅｐ１２）。 The state detection unit 30 determines level 2 (Step 12).
状態検知部３０は、レベル１と判定する（Ｓｔｅｐ１３）。 The state detection unit 30 determines that the level is 1 (Step 13).
以上のような動作により、複数水準において水準毎の頻度閾値を用いることで複数のレベルを判定して区分することにより、複数の状態レベルを検知することができる。なお、上記の判断手順は一例であって、例えば、レベル１、２からレベル５の順に判定することもできる。また、各レベルの判定は、区分したいレベル間の間隔が大きい水準のところで判定することにより判定が容易となり、判定の精度が向上する。また、あるレベルの判定を、複数の水準において行なうことにより、判定精度を向上させることも可能となる。 By the operation as described above, it is possible to detect a plurality of state levels by determining and classifying a plurality of levels by using a frequency threshold value for each level in a plurality of levels. Note that the above determination procedure is an example, and for example, determination can be made in the order of levels 1 and 2 to level 5. Further, the determination of each level is facilitated by determining where the interval between the levels to be classified is large, and the determination accuracy is improved. Further, determination accuracy can be improved by performing determination at a certain level at a plurality of levels.
（眠気レベル状態検知装置への適用）
上記説明した状態検知装置１を車両の運転者の眠気レベルを検知する眠気レベル状態検知装置へ適用する場合について説明する。 (Application to sleepiness level detection device)
The case where the state detection device 1 described above is applied to a drowsiness level state detection device that detects the drowsiness level of the driver of the vehicle will be described.
図４は、車両の運転時における一定時間毎の舵角総和（水準）と眠気レベルの関係を示す対応表である。図４は、上から、眠気レベル５（かなり眠い）、眠気レベル４（眠い）、眠気レベル３（少し眠い）、眠気レベル２（眠くない）、眠気レベル１（まったく眠くない）として、それぞれ、右方向に一定時間における舵角総和をプロットした測定結果をまとめた、眠気レベル毎の舵角変化積算量の分布図である。 FIG. 4 is a correspondence table showing the relationship between the sum of the steering angles (level) and the drowsiness level at regular intervals during driving of the vehicle. FIG. 4 shows from the top as sleepiness level 5 (very sleepy), sleepiness level 4 (sleepy), sleepiness level 3 (slightly sleepy), sleepiness level 2 (not sleepy), and sleepiness level 1 (not sleepy at all). It is a distribution diagram of the integrated amount of steering angle change for each drowsiness level, summarizing the measurement results in which the steering angle total for a certain time is plotted in the right direction.
図４において、舵角総和がＸ（ｄｅｇ）の場合の水準Ｘにおいて、図４中に示した出現頻度２５．８％（レベル５）、２４．４％（レベル４）、１３．９％（レベル３）、９．６％（レベル２）、７．１％（レベル１）は眠気レベルとの相関が認められる。 In FIG. 4, at the level X in the case where the rudder angle sum is X (deg), the appearance frequencies shown in FIG. 4 are 25.8% (level 5), 24.4% (level 4), 13.9% ( Levels 3), 9.6% (level 2), and 7.1% (level 1) are correlated with drowsiness levels.
図５は、図４に基づいて、一定時間毎の舵角総和（水準）と出現頻度との関係を眠気レベル１～５のパラメータで区分して示したグラフである。図５において、舵角総和５００（ｄｅｇ）以上の出現頻度が一定時間内で１８％以上の場合、眠気レベル４（眠い）以上と判定することができる。 FIG. 5 is a graph showing the relationship between the rudder angle sum (level) and the appearance frequency at regular intervals divided by parameters of drowsiness levels 1 to 5 based on FIG. In FIG. 5, when the appearance frequency of the steering angle sum 500 (deg) or more is 18% or more within a certain time, it can be determined that the sleepiness level 4 (sleepy) or more.
なお、図５にハッチングで示した領域Ｒは、例えば、眠気レベル４と眠気レベル３を区分するのに適した領域である。このような領域において、適切な水準を選択して、例えば図４から抽出した頻度閾値を用いて判定することにより、所望の眠気レベルを区分することができる。これにより、車両の運転者の眠気レベル（例えば、かなり眠いからまったく眠くないまでの段階的レベル）の検知が可能となる。 In addition, the area | region R shown by hatching in FIG. 5 is an area | region suitable for classifying sleepiness level 4 and sleepiness level 3, for example. In such an area, a desired level of sleepiness can be classified by selecting an appropriate level and making a determination using, for example, the frequency threshold extracted from FIG. This makes it possible to detect the drowsiness level of the vehicle driver (for example, a stepped level from being quite sleepy to not sleeping at all).
（本発明の実施の形態の効果）
本発明の実施の形態に係る状態検知装置によれば、以下のような効果を有する。
（１）本実施の形態に係る状態検知装置１は、操作者による一定時間毎の操作量と操作量の出現頻度を検出する操作量検出部１０と、操作量と出現頻度とを複数の状態レベル毎に測定して対応付けしたデータ部２０と、操作量の複数水準において、各水準に対応して状態レベルを区分する頻度閾値と、操作量検出部により検出される操作量と出現頻度とから、データ部２０を参照して各水準に対応する状態レベルを判定することにより、操作者の複数の状態レベルを検知する状態検知部３０と、を有して構成されている。このような構成により、複数水準において水準毎の頻度閾値を用いることで複数のレベルを判定して区分することにより、複数の状態レベルを検知することができる。また、各レベルの判定は、区分したいレベル間の間隔が大きい水準のところで判定することにより判定が容易となり、判定の精度が向上する。また、あるレベルの判定を、複数の水準において行なうことにより、判定精度を向上させることも可能となる。
（２）また、本実施の形態に係る状態検知装置１を車両の運転者の眠気レベルを検知する眠気レベル状態検知装置へ適用することができる。眠気レベルを複数段階のパラメータとし、一定時間毎の操作量を一定時間舵角総和（ｄｅｇ）として出現頻度と２次元データしたものをデータ部２０とすることにより、運転者が車両を運転している状態での眠気レベルを検知することが可能となる。例えば図４から抽出した頻度閾値を用いて判定することにより、所望の眠気レベルを区分することができる。これにより、車両の運転者の眠気レベル（例えば、かなり眠いからまったく眠くないまでの段階的レベル）の検知が可能となる。 (Effect of the embodiment of the present invention)
The state detection device according to the embodiment of the present invention has the following effects.
(1) The state detection device 1 according to the present embodiment includes an operation amount detection unit 10 that detects an operation amount and an appearance frequency of an operation amount per fixed time by an operator, and an operation amount and an appearance frequency in a plurality of states. The data unit 20 measured and associated for each level, the frequency threshold for classifying the state level corresponding to each level in a plurality of levels of operation amount, the operation amount detected by the operation amount detection unit, and the appearance frequency Thus, the state detection unit 30 is configured to detect a plurality of state levels of the operator by determining the state level corresponding to each level with reference to the data unit 20. With such a configuration, it is possible to detect a plurality of state levels by determining and classifying a plurality of levels by using a frequency threshold value for each level in a plurality of levels. Further, the determination of each level is facilitated by determining where the interval between the levels to be classified is large, and the determination accuracy is improved. Further, determination accuracy can be improved by performing determination at a certain level at a plurality of levels.
(2) Moreover, the state detection apparatus 1 which concerns on this Embodiment is applicable to the drowsiness level state detection apparatus which detects the drowsiness level of the driver | operator of a vehicle. By setting the drowsiness level as a parameter in a plurality of stages, the operation amount per fixed time as the steering angle total (deg) for a fixed time and the appearance frequency and two-dimensional data as the data unit 20, the driver can drive the vehicle. It becomes possible to detect the drowsiness level in the state of being. For example, by using the frequency threshold extracted from FIG. 4, a desired sleepiness level can be classified. This makes it possible to detect the drowsiness level of the vehicle driver (for example, a stepped level from being quite sleepy to not sleeping at all).
以上、本発明のいくつかの実施の形態を説明したが、これらの実施の形態は、一例に過ぎず、請求の範囲に係る発明を限定するものではない。これら新規な実施の形態は、その他の様々な形態で実施されることが可能であり、本発明の要旨を逸脱しない範囲で、種々の省略、置き換え、変更等を行うことができる。 As mentioned above, although some embodiment of this invention was described, these embodiment is only an example and does not limit the invention which concerns on a claim. These novel embodiments can be implemented in various other forms, and various omissions, replacements, changes, and the like can be made without departing from the scope of the present invention.
また、これら実施の形態の中で説明した特徴の組合せの全てが発明の課題を解決するための手段に必須であるとは限らない。さらに、これら実施の形態は、発明の範囲及び要旨に含まれるとともに、請求の範囲に記載された発明とその均等の範囲に含まれる。 In addition, not all the combinations of features described in these embodiments are essential to the means for solving the problems of the invention. Furthermore, these embodiments are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.
１ 状態検知装置
１０ 操作量検出部
２０ データ部
３０ 状態検知部 DESCRIPTION OF SYMBOLS 1 State detection apparatus 10 Operation amount detection part 20 Data part 30 State detection part

Claims (6)

  1. 操作者による一定時間毎の操作量と前記操作量の出現頻度を検出する操作量検出部と、
    前記操作量と前記出現頻度とを複数の状態レベル毎に測定して対応付けしたデータ部と、
    前記操作量の複数水準において、各水準に対応して前記状態レベルを区分する頻度閾値と、前記操作量検出部により検出される前記操作量と前記出現頻度とから、前記データ部を参照して前記各水準に対応する状態レベルを判定することにより、前記操作者の複数の状態レベルを検知する状態検知部と、
    を有する、状態検知装置。     An operation amount detection unit that detects an operation amount for each fixed time by an operator and an appearance frequency of the operation amount;
    A data part that measures and associates the operation amount and the appearance frequency for each of a plurality of state levels;
    In the plurality of levels of the operation amount, from the frequency threshold for classifying the state level corresponding to each level, the operation amount detected by the operation amount detection unit, and the appearance frequency, refer to the data unit A state detection unit that detects a plurality of state levels of the operator by determining a state level corresponding to each level;
    A state detection device.
  2. 前記操作者は車両の運転者であり、前記操作量はステアリングの一定時間毎の舵角操舵量、前記出現頻度は前記舵角操舵量の出現頻度である、請求項１に記載の状態検知装置。 The state detection device according to claim 1, wherein the operator is a driver of the vehicle, the operation amount is a steering angle steering amount at a certain time of steering, and the appearance frequency is an appearance frequency of the steering angle steering amount. .
  3. 前記状態レベルは、前記操作者の前記車両の運転時における眠気レベルである、請求項２に記載の状態検知装置。 The state detection device according to claim 2, wherein the state level is a sleepiness level when the operator is driving the vehicle.
  4. 前記眠気レベルは、眠さの状態レベルが複数段階に区分されている、請求項３に記載の状態検知装置。 The state detection device according to claim 3, wherein the sleepiness level is divided into a plurality of levels of sleepiness.
  5. 前記操作量検出部は、前記舵角操舵量を角度情報として検出する舵角センサであり、一定時間毎の前記舵角操舵量を積算する、請求項２に記載の状態検知装置。 The state detection device according to claim 2, wherein the operation amount detection unit is a rudder angle sensor that detects the rudder angle steering amount as angle information, and accumulates the rudder angle steering amount for every predetermined time.
  6. 前記状態検知部は、前記各水準として、区分したい前記状態レベル間の間隔が大きい水準で前記各水準に対応する前記状態レベルを判定する、請求項１に記載の状態検知装置。 The state detection device according to claim 1, wherein the state detection unit determines the state level corresponding to each level at a level having a large interval between the state levels to be classified as each level.
PCT/JP2018/000214 2017-01-20 2018-01-09 State detecting device WO2018135338A1 (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008221967A (en) * 2007-03-12 2008-09-25 Honda Motor Co Ltd Steering hold state determination device, driver arousal level estimation device and proper course retaining device
JP2014123287A (en) * 2012-12-21 2014-07-03 Daimler Ag Drowsy driving warning device and drowsy driving warning method
JP2016034810A (en) * 2014-08-04 2016-03-17 株式会社デンソーアイティーラボラトリ Vehicle control device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008221967A (en) * 2007-03-12 2008-09-25 Honda Motor Co Ltd Steering hold state determination device, driver arousal level estimation device and proper course retaining device
JP2014123287A (en) * 2012-12-21 2014-07-03 Daimler Ag Drowsy driving warning device and drowsy driving warning method
JP2016034810A (en) * 2014-08-04 2016-03-17 株式会社デンソーアイティーラボラトリ Vehicle control device

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