JPH0554300A - Arousal level detection device - Google Patents
Arousal level detection deviceInfo
- Publication number
- JPH0554300A JPH0554300A JP21091891A JP21091891A JPH0554300A JP H0554300 A JPH0554300 A JP H0554300A JP 21091891 A JP21091891 A JP 21091891A JP 21091891 A JP21091891 A JP 21091891A JP H0554300 A JPH0554300 A JP H0554300A
- Authority
- JP
- Japan
- Prior art keywords
- inference
- awakening degree
- detecting
- driver
- arousal level
- 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.)
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Links
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- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Feedback Control In General (AREA)
- Traffic Control Systems (AREA)
Abstract
(57)【要約】
【目的】運転者の操作状態および車両の走行状態を考慮
して覚醒度を検出する。
【構成】操作状態認識装置２の操作状態データＸ１およ
び走行状態認識装置３の走行状態データＸ２を入力変数
として、知識ベース部５に記憶されているファジィルー
ルに従ってファジィ推論部６が覚醒度Ｄを推論する。こ
の推論結果に応じて報知手段が警告を報知する。
(57) [Summary] [Purpose] To detect the arousal level in consideration of the driver's operation state and the vehicle running state. A fuzzy reasoning unit 6 sets an awakening degree D according to a fuzzy rule stored in a knowledge base unit 5 by using an operation state data X1 of an operation state recognition device 2 and a running state data X2 of a running state recognition device 3 as input variables. Reason. The informing means issues a warning according to the result of the inference.
Description
【０００１】[0001]
【産業上の利用分野】この発明は、車両に設けられた各
種センサの出力情報から運転者の覚醒度を検知する覚醒
度検知装置に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a wakefulness detecting device for detecting a wakefulness of a driver from output information of various sensors provided in a vehicle.
【０００２】[0002]
【従来の技術】自動車事故の大きな原因として、飲酒運
転、居眠り運転および疲労運転などの運転者の覚醒度の
低下によるものが多い。このため、従来より車両に運転
者の覚醒度を検出する装置を設け、覚醒度が低下した際
に運転者に警告を報知することによって自動車事故の発
生を防止するようにした覚醒度検知装置が提案されてい
る。従来の覚醒度検知装置は、例えば走行速度、継続運
転時間および一定時間におけるハンドル操作回数などを
検出し、これらの検出結果を入力変数として、予め定め
られたファジィルールおよびメンバーシップ関数に基づ
いて居眠り速度を推論するようにしたものや、運転者の
連続運転時間、操縦量、走行距離、走行速度および現在
時刻を入力変数として、ファジィ推論により疲労度を検
出するようにしたものなどがある。2. Description of the Related Art A major cause of automobile accidents is a decrease in driver's arousal level such as drunk driving, drowsy driving, and fatigue driving. Therefore, conventionally, a device for detecting the awakening degree of the driver is provided in the vehicle, and an alertness detecting device for preventing the occurrence of a car accident by alerting the driver when the awakening level is lowered is Proposed. The conventional awakening degree detection device detects, for example, the traveling speed, the continuous operation time, and the number of times the steering wheel is operated in a certain period of time, and the detection results are used as input variables to fall asleep on the basis of a predetermined fuzzy rule and a membership function. There are those which infer the speed, and those which detect the fatigue level by fuzzy inference using the continuous driving time of the driver, the amount of maneuvering, the traveling distance, the traveling speed and the current time as input variables.
【０００３】[0003]
【発明が解決しようとする課題】しかしながら、従来の
装置ではハンドル操作量、走行距離、走行時間および走
行速度などからのみ覚醒度を検出しており、車両が直線
道路を走行中であるかまたはカーブを走行中であるかな
どの走行モードを考慮しておらず、高速道路や長い直線
道路などのハンドル操作量の少ない場所において誤検出
を生じる問題があった。また、走行時間や走行距離など
のデータに基づいて覚醒度を判断するようにしていたた
め、病気や飲酒等による運転者の覚醒度の急激な低下を
検出することができない問題があった。さらに、覚醒度
の変化には運転者毎に固体差があり、固定された推論用
データに基づいて覚醒度を推論する従来の装置では運転
者毎に適切な覚醒度の判断を下すことができない問題が
あった。However, in the conventional device, the arousal level is detected only from the steering wheel operation amount, the traveled distance, the traveled time, the traveled speed, etc., and the vehicle is traveling on a straight road or in a curve. There is a problem that erroneous detection occurs in a place where the amount of steering wheel operation is small, such as a highway or a long straight road, without considering the driving mode such as whether the vehicle is traveling. Further, since the awakening level is determined based on the data such as the running time and the running distance, there is a problem that it is not possible to detect a sudden decrease in the awakening level of the driver due to illness or drinking. Furthermore, there are individual differences in changes in arousal level for each driver, and conventional devices that infer the arousal level based on fixed inference data cannot make an appropriate determination of the awakening level for each driver. There was a problem.
【０００４】この発明の目的は、操作部材に対する操作
状態とともに車両の走行モードを検出し、これら操作状
態及び走行モードを入力データとして運転者の覚醒度を
推論することにより、走行モードの変化によって誤検出
を生じることがなく、正確に覚醒度を検出できる覚醒度
検知装置を提供することにある。An object of the present invention is to detect a driving mode of a vehicle along with an operating state of an operating member, and to infer a driver's awakening degree by using the operating state and the driving mode as input data, thereby making a mistake due to a change in the driving mode. An object of the present invention is to provide a wakefulness detection device capable of accurately detecting the wakefulness without causing detection.
【０００５】また、運転者の健康状態を検出する健康状
態検出手段を備え、得られた健康状態を入力データの１
つとすることにより、運転者の病気や飲酒等による急激
な覚醒度の低下をも検出することのできる覚醒度検知装
置を提供することにある。Further, a health condition detecting means for detecting the health condition of the driver is provided, and the obtained health condition is input to the input data 1
Accordingly, it is an object of the present invention to provide a wakefulness detecting device capable of detecting a sudden decrease in wakefulness due to a driver's illness, drinking, or the like.
【０００６】さらに、覚醒度の推論に用いられる推論用
データを学習手段が学習した操作状態の個体差に応じて
修正することにより、運転者毎に異なる覚醒度の変化を
も正確に検出することができる覚醒度検知装置を提供す
ることにある。Further, by correcting the inference data used for inferring the arousal level in accordance with the individual difference in the operating state learned by the learning means, it is possible to accurately detect a change in the arousal level which differs for each driver. It is to provide an awakening degree detection device capable of
【０００７】[0007]
【課題を解決するための手段】この発明の覚醒度検知装
置は図１に示すように、操作部材に対する操作状態を検
出する操作状態検出手段と、車両の走行モードを検出す
る走行モード検出手段と、推論用データを記憶した知識
ベース部を有するとともに、操作状態検出手段および走
行モード検出手段の検出結果を入力データとして知識ベ
ース部に記憶されている推論用データを用いて運転者の
覚醒度を推論する覚醒度推論手段と、覚醒度推論手段の
推論結果に応じた警告を報知する警告報知手段と、を設
けたことを特徴とする。As shown in FIG. 1, a wakefulness detecting device of the present invention comprises an operating state detecting means for detecting an operating state of an operating member and a traveling mode detecting means for detecting a traveling mode of a vehicle. , Having a knowledge base portion that stores inference data, and using the inference data stored in the knowledge base portion as the input data of the detection results of the operation state detecting means and the running mode detecting means, It is characterized in that awakening degree inference means for inferring and warning warning means for giving a warning according to the inference result of the awakening degree inference means are provided.
【０００８】また、前記覚醒度推論手段への入力データ
として運転者の健康状態を検出する健康状態検出手段を
設けたものである。The health condition detecting means for detecting the health condition of the driver is provided as input data to the awakening degree inferring means.
【０００９】さらに、前記知識ベース部が操作状態の個
体差を学習する学習手段と、学習手段が学習した個体差
に応じて推論用データを修正する修正手段と、を有する
ものである。Further, the knowledge base unit has a learning means for learning the individual difference of the operating state, and a correcting means for correcting the inference data according to the individual difference learned by the learning means.
【００１０】加えて、前記覚醒度推論手段の推論結果に
基づいて車両の走行機構を制御する走行機構制御用手段
を設けたものである。In addition, a traveling mechanism control means for controlling the traveling mechanism of the vehicle based on the inference result of the awakening degree inference means is provided.
【００１１】さらに、前記覚醒度推論手段が、知識ベー
ス部に記憶された推論用データに従ってファジィ推論を
実行するファジィ推論手段としたものである。Further, the awakening degree inference means is fuzzy inference means for executing fuzzy inference according to the inference data stored in the knowledge base section.
【００１２】[0012]
【作用】この発明においては、操作部材に対する運転者
の操作状態が操作状態検出手段により検出されるととも
に、走行モード検出手段により車両の走行モードが検出
される。検出された操作状態および走行モードは覚醒度
推論手段に入力され、知識別部に記憶されている推論用
データを用いて運転者の覚醒度が推論される。したがっ
て、覚醒度推論手段の推論結果は、運転者の操作状態に
車両の走行モードを考慮したものとなる。この推論結果
である運転者の覚醒度に応じて警告報知手段により運転
者に警告が報知される。According to the present invention, the operating state of the driver with respect to the operating member is detected by the operating state detecting means, and the traveling mode of the vehicle is detected by the traveling mode detecting means. The detected operation state and running mode are input to the awakening degree inference means, and the awakening degree of the driver is inferred using the inference data stored in the knowledge-based section. Therefore, the inference result of the awakening degree inference means considers the driving mode of the vehicle in the operation state of the driver. The warning is given to the driver by the warning notifying unit according to the driver's awakening degree which is the result of this inference.
【００１３】また、覚醒度推論手段への入力データとし
て運転者の健康状態を加えることにより、病気や飲酒な
どによる急激な変化を考慮して覚醒度を推論することが
できる。Further, by adding the health condition of the driver as input data to the awakening degree inference means, it is possible to infer the awakening degree in consideration of a sudden change due to illness or drinking.
【００１４】さらに、覚醒度推論手段における推論に用
いられる推論用データを、操作状態の個体差に応じて修
正することにより、操作状態と覚醒度との関係が個人的
に異なることを考慮して覚醒度の推論が行われる。Further, by correcting the inference data used for inference in the awakening degree inference means in accordance with the individual difference in the operating state, it is possible to consider that the relationship between the operating state and the awakening degree is personally different. Awakening inference is performed.
【００１５】加えて、覚醒部推論手段の推論結果に基づ
いて車両の走行機構を制御することにより覚醒度の低下
した運転者に変わって車両を安全に走行させることがで
きる。In addition, by controlling the traveling mechanism of the vehicle on the basis of the inference result of the awakening section inference means, the vehicle can be safely driven in place of the driver whose awakening degree is lowered.
【００１６】また、覚醒度推論手段にけおる覚醒度の推
論をファジィ推論によって行うことにより操作状態や走
行モードなどの入力変数に基づいて覚醒度をきめ細かく
推論することができる。Further, the awakening degree inferred by the awakening degree inferring means is fuzzy inference, whereby the awakening degree can be delicately deduced based on the input variables such as the operation state and the running mode.
【００１７】[0017]
【実施例】図２は、この発明の第１の実施例に係る覚醒
度検知装置の構成を示す図である。覚醒度検知装置１
は、操作状態認識装置２、走行状態認識装置３、覚醒度
推論装置４および報知装置７によって構成されている。
図３に示すように操作状態認識装置２には、ハンドルや
アクセルなどの車両の操作部材に設けられたステアリン
グ角センサ、アクセル開度センサ、ブレーキセンサ、シ
ート体圧センサ、およびハンドル握力センサなどのセン
サの検出データが入力される。ここに、運転者の操作状
態とは、ステアリング角センサによって検出されるハン
ドルの回転量である回転性の操作量、ハンドルの操作回
数である回転性の操作回数、アクセル開度センサによっ
て検出されるアクセル開度である高速性の操作量、ブレ
ーキセンサにより検出されるブレーキの操作回数である
減速性の操作回数などの運転者が車を操作しようとする
状態を言う。操作状態認識装置２はこれら回転性の操作
量、回転性の操作回数、高速性の操作量、加速性の操作
回数および減速性の操作回数などを所定の数値演算やフ
ァジィ推論などを用いて検出する。この認識結果を操作
状態データＸ１として覚醒度推論装置４に出力する。DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 2 is a diagram showing the structure of a wakefulness detecting device according to a first embodiment of the present invention. Arousal level detection device 1
Is composed of an operation state recognition device 2, a running state recognition device 3, an awakening degree inference device 4, and an informing device 7.
As shown in FIG. 3, the operation state recognition device 2 includes a steering angle sensor, an accelerator opening sensor, a brake sensor, a seat body pressure sensor, a steering wheel gripping force sensor, and the like provided on an operation member of the vehicle such as a steering wheel and an accelerator. The detection data of the sensor is input. Here, the driver's operation state is detected by the rotational angle, which is the amount of rotation of the steering wheel detected by the steering angle sensor, the rotational frequency, which is the number of times the steering wheel is operated, and the accelerator opening sensor. A state in which the driver tries to operate the vehicle, such as a high-speed operation amount that is an accelerator opening degree and a deceleration operation number that is a brake operation number detected by a brake sensor. The operation state recognition device 2 detects the rotational amount, the rotational number of operations, the high-speed operating amount, the accelerating operating number, the decelerating operating number, and the like by using a predetermined numerical operation or fuzzy inference. To do. This recognition result is output to the awakening degree inference device 4 as the operation state data X1.
【００１８】走行状態認識装置３は車両の走行モードを
推定する装置であり、車両に設けられたエンジン回転数
センサ、車速センサ、加速度センサなどの検出データに
基づいてファジィ推論などの手法により車両の走行状態
を検出する。ここで、車両の走行状態とは、直進走行、
カーブ走行、高速走行などの走行モードを言う。走行状
態認識装置３の推定結果は走行状態データＸ２として覚
醒度推論装置４に出力される。The traveling state recognition device 3 is a device for estimating the traveling mode of the vehicle. The traveling state recognition device 3 uses a method such as fuzzy inference based on the detection data of an engine speed sensor, a vehicle speed sensor, an acceleration sensor, etc. provided in the vehicle. Detect the running condition. Here, the traveling state of the vehicle means straight traveling,
It refers to driving modes such as curve driving and high speed driving. The estimation result of the running state recognition device 3 is output to the awakening degree inference device 4 as running state data X2.
【００１９】覚醒度出力装置４は、知識ベース部５およ
びファジィ推論部６からなる。ファジィ推論部６は図４
に示すように、操作状態認識装置２から出力された操作
状態データＸ１および走行状態認識装置３から出力され
た走行状態データＸ２を入力変数として知識ベース部５
に記憶されているファジィルールおよびメンバーシップ
関数に基づいてファジィ推論を実行し、その推論結果と
して覚醒度Ｄを出力する。知識ベース部５には例えば図
５に示すファジィルールが記憶されている。ここに、走
行状態の直進性においてＰは直線、Ｚはゆるやかなカー
ブ、Ｎはカーブを表しており、走行状態の高速性におい
てＰは高速、Ｚは中速、Ｎは低速を表している。また、
回転性の操作量においてＰはカーブ、Ｚは適度なカー
ブ、Ｎは直線を表しており、高速性の操作量においてＰ
は高速、Ｚは中速、Ｎは低速を表している。これら入力
変数のラベルに対して、推論結果である覚醒度の各ラベ
ルは、ＰＬが最も覚醒度が高く、ＰＳ、ＺＲ、ＮＳ、Ｎ
Ｌとなるに従って順に低位の覚醒度を表している。The wakefulness output device 4 comprises a knowledge base unit 5 and a fuzzy inference unit 6. The fuzzy inference unit 6 is shown in FIG.
As shown in, the knowledge base unit 5 uses the operation state data X1 output from the operation state recognition device 2 and the traveling state data X2 output from the traveling state recognition device 3 as input variables.
The fuzzy inference is executed based on the fuzzy rule and the membership function stored in, and the arousal level D is output as the inference result. The knowledge base unit 5 stores, for example, the fuzzy rules shown in FIG. Here, P represents a straight line, Z represents a gentle curve, and N represents a curve in the straightness of the traveling state. P represents high speed, Z represents medium speed, and N represents low speed in the high speed characteristic of the traveling state. Also,
P is a curve, Z is a moderate curve, and N is a straight line in the rotational operation amount.
Represents high speed, Z represents medium speed, and N represents low speed. With respect to the labels of these input variables, PL has the highest arousal level, and PS, ZR, NS, N
The lower the level of arousal, the lower the level of arousal.
【００２０】以上のようにしてこの実施例によれば、車
両の実際の走行状態（走行モード）と運転者の操作状態
との整合性を判定し、この整合性に基づいて運転者の覚
醒度を推論する。覚醒度推論装置４における推論結果で
ある覚醒度データＤは報知装置７に出力され、報知装置
７は覚醒度のレベルに応じて警報装置の音量を変えるな
どによって覚醒度の推論結果を運転者に報知する。As described above, according to this embodiment, the consistency between the actual running state (running mode) of the vehicle and the operating state of the driver is determined, and the driver's arousal level is determined based on this consistency. Infer. The arousal level data D, which is the inference result in the awakening level inference device 4, is output to the notification device 7, and the notification device 7 changes the sound volume of the alarm device according to the level of the awakening level to notify the driver of the awakening level inference result. Notify me.
【００２１】図６は、この発明の第２の実施例に係る覚
醒度検知装置の構成を示すブロック図である。覚醒度検
知装置１１は前述の図２に示した覚醒度検知装置１に加
えて知識ベース５に学習装置１２を備えたものである。
この学習装置１２は、運転者が報知装置７による警報の
報知が不必要であると判断した際に操作される評価ボタ
ンを備えており、この評価ボタンの操作により知識ベー
ス部５に記憶されているファジィルールの結論部のラベ
ルをそれぞれのファジィルールについて１ラベルづつ覚
醒部の高い方に修正し、次回からはこの修正されたファ
ジィルールを用いて覚醒度Ｄの推論を行う。FIG. 6 is a block diagram showing the structure of a wakefulness detecting apparatus according to the second embodiment of the present invention. The arousal level detection device 11 is provided with a learning device 12 in the knowledge base 5 in addition to the arousal level detection device 1 shown in FIG.
The learning device 12 includes an evaluation button that is operated when the driver determines that the notification of the alarm by the notification device 7 is unnecessary, and is stored in the knowledge base unit 5 by operating the evaluation button. The label of the conclusion part of the fuzzy rule is corrected by one label for each fuzzy rule to the higher side of the awakening part, and from the next time, the awakening degree D is inferred using the modified fuzzy rule.
【００２２】また、学習装置１２は、覚醒度の低下率が
比較的低い運転開始直後の運転履歴を学習し、この学習
結果に基づいてファジィルールの結論部のラベルを決定
するようにしても良い。さらに、上記運転履歴の学習時
間を運転者において選択することができるようにしても
良い。Further, the learning device 12 may learn the driving history immediately after the start of driving, in which the rate of decrease in the awakening degree is relatively low, and determine the label of the conclusion part of the fuzzy rule based on the learning result. .. Furthermore, the learning time of the driving history may be selected by the driver.
【００２３】図７は、この発明の第３の実施例に係る覚
醒度検知装置の構成を示すブロック図である。覚醒度検
知装置２１は、上述の図６に示した構成に加えて、自動
ブレーキ２２を備えている。この自動ブレーキ２２には
覚醒度推論装置４の推論結果である覚醒度データＤが入
力される。この自動ブレーキ２２は覚醒度Ｄのレベルに
応じて緊急時等に自動的に車両のブレーキを動作させる
装置である。これによって緊急時における運転者の操作
を補助し、より安全に車両を走行させることができる。FIG. 7 is a block diagram showing the structure of an awakening level detecting device according to the third embodiment of the present invention. The awakening degree detection device 21 includes an automatic brake 22 in addition to the configuration shown in FIG. 6 described above. The awakening degree data D which is the inference result of the awakening degree inference device 4 is input to the automatic brake 22. The automatic brake 22 is a device that automatically operates the vehicle brake in an emergency or the like according to the level of the awakening degree D. As a result, the operation of the driver in an emergency can be assisted and the vehicle can be driven more safely.
【００２４】なお、アクセル装置や操舵装置などの他の
走行機構を同様に自動制御する走行機構制御装置として
も良い。また、覚醒度Ｄのレベルが低くなるに従って操
作装置例えばブレーキペダルとの操作量と走行機構例え
ばブレーキサーボの動作量との関係を車両の走行速度が
低下する方向に変化させるものであっても良い。The traveling mechanism control device may similarly automatically control other traveling mechanisms such as the accelerator device and the steering device. Further, as the level of the awakening level D becomes lower, the relationship between the operation amount of the operating device such as the brake pedal and the operation amount of the traveling mechanism such as the brake servo may be changed in the direction in which the traveling speed of the vehicle decreases. ..
【００２５】図８はこの発明の第４の実施例に係る覚醒
度検知装置の構成を示すブロック図である。覚醒度検知
装置３１は図７に示した構成に加えて運転者の健康状態
を測定する健康状態測定装置３２を備え、この健康状態
測定装置３２の測定結果を運転者の直接覚醒度データＸ
３として覚醒度推論装置４に入力する。健康状態測定装
置３２にはシート体圧、ハンドル握力とともに運転者の
脈拍、血圧および体温などの健康状態が入力され、ファ
ジィ推論などの手法により運転者の健康状態を直接覚醒
度データＸ３として推論する。覚醒度推論装置４はファ
ジィ推論部６において操作状態データＸ１、走行状態デ
ータＸ２および直接覚醒度データＸ３を入力変数とし
て、知識ベース部５に記憶されているファジィルールお
よびメンバーシップ関数に従ってファジィ推論を実行
し、覚醒度データＤを出力する。この推論結果である覚
醒度データＤは報知装置７および自動走行機構２２に入
力される。このように、覚醒度の推論に運転者の健康状
態である直接覚醒度を入力データとして用いるため、病
気や飲酒などによる覚醒度の急激な変化にも対応して覚
醒度を検知することができる。FIG. 8 is a block diagram showing the structure of a wakefulness detecting device according to the fourth embodiment of the present invention. The wakefulness detection device 31 includes a health condition measuring device 32 for measuring the health condition of the driver in addition to the configuration shown in FIG. 7, and the measurement result of the health condition measuring device 32 is used as the direct wakefulness data X of the driver.
3 is input to the awakening degree inference device 4. The physical condition of the driver, such as the pulse, blood pressure and body temperature, is input to the health measuring device 32 together with the seat pressure and the grip strength of the steering wheel, and the health condition of the driver is directly inferred as the arousal level data X3 by a method such as fuzzy inference. .. The awakening degree inference device 4 uses the operation state data X1, the running state data X2, and the direct awakening degree data X3 as input variables in the fuzzy inference unit 6 to perform fuzzy inference according to the fuzzy rules and membership functions stored in the knowledge base unit 5. It executes and outputs the arousal level data D. The awakening degree data D that is the result of this inference is input to the notification device 7 and the automatic traveling mechanism 22. In this way, since the direct arousal level, which is the health condition of the driver, is used as input data for inferring the arousal level, it is possible to detect the arousal level in response to a sudden change in the arousal level due to illness or drinking. ..
【００２６】[0026]
【発明の効果】この発明によれば、車両の走行モードを
考慮して運転者の覚醒度を正確に検知することができ
る。According to the present invention, the awakening degree of the driver can be accurately detected in consideration of the traveling mode of the vehicle.
【００２７】また、運転者の健康状態を考慮して覚醒度
を求めるため、病気や飲酒などによる覚醒度の急激な変
化にも対応することができる。さらに、推論用データを
操作状態の個体差に応じて修正するこことにより運転者
の個性に合わせた適格な覚醒度を検知することができ
る。Further, since the arousal level is calculated in consideration of the health condition of the driver, it is possible to cope with a sudden change in the arousal level due to illness or drinking. Further, by correcting the inference data according to the individual difference in the operating state, it is possible to detect the awakening level suitable for the individuality of the driver.
【００２８】加えて検知した覚醒度に応じて車両の走行
機構を制御することにより、覚醒度の運転者に変わって
車両を安全に走行させることができる。In addition, by controlling the traveling mechanism of the vehicle in accordance with the detected arousal level, the vehicle can be safely driven in place of the driver of the arousal level.
【００２９】また、覚醒度を公知のファジィ推論によっ
て推論することによりきめ細かな覚醒度の検知を行うこ
とができる。Further, by finely inferring the arousal level by a known fuzzy inference, it is possible to detect the arousal level in detail.
【図１】この発明の構成を示す図である。FIG. 1 is a diagram showing a configuration of the present invention.
【図２】この発明の第１の実施例である覚醒度検知装置
の構成を示すブロック図である。FIG. 2 is a block diagram showing a configuration of a wakefulness detection device according to a first embodiment of the present invention.
【図３】同覚醒度検知装置の装置状態認識装置の構成を
示す図である。FIG. 3 is a diagram showing a configuration of a device state recognition device of the awakening degree detection device.
【図４】同覚醒度検知装置の覚醒度推論装置が有するフ
ァジィ推論部の構成を示す図である。FIG. 4 is a diagram showing a configuration of a fuzzy inference unit included in the awakening degree inference device of the same awakening degree detection device.
【図５】同覚醒度推論装置が有する知識ベース部に記憶
されているファジィルールの一例を示す図である。FIG. 5 is a diagram showing an example of a fuzzy rule stored in a knowledge base unit included in the same awakening degree inference device.
【図６】この発明の第２の実施例に係る覚醒度検知装置
の構成を示す図である。FIG. 6 is a diagram showing a configuration of a wakefulness detection device according to a second embodiment of the present invention.
【図７】この発明の第３の実施例に係る覚醒度検知装置
の構成を示す図である。FIG. 7 is a diagram showing a configuration of an awakening degree detection device according to a third embodiment of the present invention.
【図８】この発明の第４の実施例に係る覚醒度検知装置
の構成を示す図である。FIG. 8 is a diagram showing a configuration of a wakefulness detection device according to a fourth embodiment of the present invention.
１，１１，２１，３１−覚醒度検知装置 ２−操作状態認識装置 ３−走行状態認識装置 ４−覚醒度推論装置 ５−知識ベース部 ７−報知装置 １２−学習装置 ２２−自動ブレーキ ３２−健康状態測定装置 1, 11, 21, 31-Awakening degree detection device 2-Operation state recognition device 3-Running state recognition device 4-Awakening degree inference device 5-Knowledge base unit 7-Notification device 12-Learning device 22-Automatic braking 32-Health Condition measuring device
───────────────────────────────────────────────────── フロントページの続き (72)発明者 鎌田 昭司 京都市右京区花園土堂町10番地 オムロン 株式会社内 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Shoji Kamata 10 Odoron-cho, Hanazono-cho, Ukyo-ku, Kyoto
Claims (5)
状態検出手段と、車両の走行モードを検出する走行モー
ド検出手段と、推論用データを記憶した知識ベース部を
有するとともに、操作状態検出手段および走行モード検
出手段の検出結果を入力データとして知識ベース部に記
憶されている推論用データを用いて運転者の覚醒度を推
論する覚醒度推論手段と、覚醒度推論手段の推論結果に
応じた警告を報知する警告報知手段と、を設けたことを
特徴とする覚醒度検知装置。1. An operating state detecting means for detecting an operating state of an operating member, a running mode detecting means for detecting a running mode of a vehicle, and a knowledge base section for storing inference data. Awakening degree inference means for inferring the driver's awakening degree by using the inference data stored in the knowledge base section with the detection result of the driving mode detection means as input data, and a warning according to the inference result of the awakening degree inference means A warning alerting means for alerting the user of the arousal level.
運転者の健康状態を検出する健康状態検出手段を設けた
請求項１記載の覚醒度検知装置。2. A wakefulness detecting device according to claim 1, further comprising health condition detecting means for detecting a health condition of a driver as input data to said wakefulness inferring means.
学習する学習手段と、学習手段が学習した個体差に応じ
て推論用データを修正する修正手段と、を有する請求項
１または２記載の覚醒度検知装置。3. The knowledge base unit comprises: learning means for learning individual differences in operating states; and correction means for correcting inference data according to individual differences learned by the learning means. The awakening degree detection device described.
車両の走行機構を制御する走行機構制御手段を設けた請
求項１〜３の何れかに記載の覚醒度検知装置。4. The awakening degree detection device according to claim 1, further comprising a traveling mechanism control means for controlling a traveling mechanism of the vehicle based on an inference result of the awakening degree inference means.
憶された推論用データに従ってファジィ推論を実行する
ファジィ推論手段である請求項１〜４の何れかに記載の
覚醒度検知装置。5. The arousal level detection device according to claim 1, wherein the arousal level inference unit is a fuzzy inference unit that executes fuzzy inference according to inference data stored in a knowledge base unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP21091891A JPH0554300A (en) | 1991-08-22 | 1991-08-22 | Arousal level detection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP21091891A JPH0554300A (en) | 1991-08-22 | 1991-08-22 | Arousal level detection device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH0554300A true JPH0554300A (en) | 1993-03-05 |
Family
ID=16597225
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP21091891A Pending JPH0554300A (en) | 1991-08-22 | 1991-08-22 | Arousal level detection device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH0554300A (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1995018433A1 (en) * | 1993-12-28 | 1995-07-06 | Mitsubishi Jidosha Kogyo Kabushiki Kaisha | Alarming device for dozing driver |
| JPH08140949A (en) * | 1994-11-16 | 1996-06-04 | Pioneer Electron Corp | Driving mental condition detector |
| JPH10509873A (en) * | 1994-11-29 | 1998-09-29 | ザ ユニバーシティ オブ クイーンズランド | Remedies |
| JP2004329956A (en) * | 2004-07-16 | 2004-11-25 | Matsushita Electric Ind Co Ltd | Driver monitoring device and safety device using it |
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| JP2019080809A (en) * | 2017-10-31 | 2019-05-30 | トヨタ自動車株式会社 | State estimation apparatus |
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- 1991-08-22 JP JP21091891A patent/JPH0554300A/en active Pending
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| US5745031A (en) * | 1993-12-28 | 1998-04-28 | Mitsubishi Jidosha Kogyo Kabushiki Kaisha | Safety driving system |
| WO1995018433A1 (en) * | 1993-12-28 | 1995-07-06 | Mitsubishi Jidosha Kogyo Kabushiki Kaisha | Alarming device for dozing driver |
| JPH08140949A (en) * | 1994-11-16 | 1996-06-04 | Pioneer Electron Corp | Driving mental condition detector |
| JPH10509873A (en) * | 1994-11-29 | 1998-09-29 | ザ ユニバーシティ オブ クイーンズランド | Remedies |
| WO2005023105A1 (en) * | 2003-09-02 | 2005-03-17 | Matsushita Electric Industrial Co., Ltd. | Biological sensor and support system using the same |
| JP2007504545A (en) * | 2003-09-08 | 2007-03-01 | スカニア シーブイ アクチボラグ（パブル） | Unintentional lane departure detection |
| JP2011086304A (en) * | 2003-09-08 | 2011-04-28 | Scania Cv Ab (Publ) | Detection of unintended lane departure |
| JP2004329956A (en) * | 2004-07-16 | 2004-11-25 | Matsushita Electric Ind Co Ltd | Driver monitoring device and safety device using it |
| WO2006054542A1 (en) * | 2004-11-16 | 2006-05-26 | Nihon University | Fatigue judgment system, and fatigue judgment method |
| JP2006223635A (en) * | 2005-02-18 | 2006-08-31 | Daihatsu Motor Co Ltd | Drowsy driving detecting device and method |
| JP2007160076A (en) * | 2005-11-15 | 2007-06-28 | Univ Nihon | Human posture motion discrimination device and energy consumption calculation device |
| JP2008056059A (en) * | 2006-08-30 | 2008-03-13 | Equos Research Co Ltd | Driver state estimation device and driving support device |
| JP2017178009A (en) * | 2016-03-30 | 2017-10-05 | 本田技研工業株式会社 | Wakefulness detector for vehicle |
| US10053107B2 (en) | 2016-03-30 | 2018-08-21 | Honda Motor Co., Ltd. | Vehicular awakening detection device |
| US11407422B2 (en) | 2017-02-28 | 2022-08-09 | Panasonic Intellectual Property Management Co., Ltd. | Operation appropriateness determination system, method for determining operation appropriateness, and non-transitory computer readable medium storing program for determining operation appropriateness |
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