CN106843455A - Tired caution system - Google Patents

Tired caution system Download PDF

Info

Publication number
CN106843455A
CN106843455A CN201510880594.4A CN201510880594A CN106843455A CN 106843455 A CN106843455 A CN 106843455A CN 201510880594 A CN201510880594 A CN 201510880594A CN 106843455 A CN106843455 A CN 106843455A
Authority
CN
China
Prior art keywords
fatigue
value
caution system
user
tired
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.)
Withdrawn
Application number
CN201510880594.4A
Other languages
Chinese (zh)
Inventor
曾英哲
蔡正壹
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.)
Primax Electronics Ltd
Original Assignee
Primax Electronics 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 Primax Electronics Ltd filed Critical Primax Electronics Ltd
Priority to CN201510880594.4A priority Critical patent/CN106843455A/en
Publication of CN106843455A publication Critical patent/CN106843455A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/01Indexing scheme relating to G06F3/01
    • G06F2203/011Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns

Abstract

The invention discloses a kind of tired caution system, including an image acquiring apparatus, a sensor, a processor and an at least alarm unit.Wherein, image acquiring apparatus are the face images for extracting a user, and a physiologic information of sensor sensing user, the processor receives motion images and physiologic information and produces a drive signal, and the alarm unit receives drive signal and sends alarm signal.Whether tired caution system disclosed in the embodiment of the present invention can clearly detect user in tired state, and can carry with and accurately send warning.

Description

Tired caution system
Technical field
The present invention relates to a kind of caution system, more particularly to a kind of tired caution system.
Background technology
Modern increasingly relies on use action electronic device in daily life, particularly intelligent hand Machine, panel computer or pen one class device of electricity.Either work, Query Information, shopping amusement or get in touch with Others, major part all carries out instant operation by portable electronic software and hardware.Its convenient quickly brought Also modern is allowed to spend many times daily in the operation of electronic installation.But use electronics for a long time Device is easily caused fatigue, may be easier to trigger various eyes, brain, neural joint even interior Exception or disease in terms of secretion, it is therefore necessary to allow body to be rested in good time and avoid producing fatigue to show As.
If however, people are when being absorbed in using action electronic device, it tends to be difficult to spontaneously temporary Stop using.Therefore, the case that alarm set is additional to electronic equipment is disclosed in known technology, is examined User's use time is surveyed, and warning will be sent in overlong time.However, because each is used The performance status of person is different, only decides whether to send the method for alarm signal by using the time not Whether user can clearly be corresponded in tired state.Therefore a kind of method of novelty is needed Improve the problem of known caution system.
The content of the invention
In order to solve the problems, such as known technology, it is an object of the invention to provide a kind of fatigue warning system System, is arranged in action electronic device, using action electronic device element in itself and arranges in pairs or groups wearable Device detect degree of fatigue jointly, clearly detect user whether the state in fatigue, and energy Carry with and accurately send warning.
In order to reach above-mentioned mesh ground, a kind of tired caution system provided by the present invention, including:
One image acquiring apparatus, are used to extract a face image of a user;
One object wearing device, located at the body surface of the user, the object wearing device includes:
One sensor, is used to sense a physiological signal of the user, and produce a dynamic value;
One processor, produces a static number, and calculate the static number and be somebody's turn to do according to the face image Dynamic value, a drive is produced when the static number and the dynamic value are added up and reach a fatigue criteria value Dynamic signal;And,
An at least alarm unit, receives the drive signal and one alarm signal of generation gives this and uses Person.
It is preferred that the processor is added up in the static number and the dynamic value produces a tired numerical value, And the tired numerical value is when reaching the fatigue criteria value, by the static number, the dynamic value and the fatigue Numerical value is zeroed and recalculates the tired numerical value, and ought reach this in the tired numerical value in a Preset Time When the number of times of fatigue criteria value is more than a standard number, the processor produces the drive signal.
It is preferred that the face image is countenance and the headwork of the user.
It is preferred that wherein the countenance includes eyes closed state, if yawn or head oscillation Situation.
It is preferred that the sensor detects the pulse heartbeat or VPV or hand vibrations time of the user Number, when pulse heartbeat or VPV or hand vibrations number of times are less than a normal physiologic values, the sensing Device produces the dynamic value.
It is preferred that the processor is arranged inside an electronic installation, and the object wearing device signal is connected to The electronic installation.
It is preferred that the electronic installation is a panel computer, notebook computer or desktop computer.
It is preferred that the alarm unit is arranged in the electronic installation or the object wearing device.
It is preferred that the alarm unit is a buzzer or electromagnetic shaker or micro electric shock device.
It is preferred that the desktop computer includes a separate keyboard and the image acquiring apparatus are arranged at this Keyboard.
Brief description of the drawings
Fig. 1 is the block schematic diagram of a preferred embodiment of the invention.
Fig. 2 is the use state schematic diagram of a preferred embodiment of the present invention.
Wherein, description of reference numerals is as follows:
1 tired caution system
10 image acquiring apparatus
101 face images
102 static numbers
103 face recognition units
20 object wearing devices
21 sensors
211 physiological signals
212 dynamic values
A normal physiologic values
30 processors
301 drive signals
B fatigue numerical value
E fatigue criteria values
C Preset Times
D standard numbers
40th, 41 alarm unit
401 alarm signals
50 electronic installations
60 keyboards
U user
Specific embodiment
Now lift with presently preferred embodiments of the present invention below and coordinate accompanying drawing to illustrate.
Referring initially to Fig. 1, the block schematic diagram of a preferred embodiment of the present invention.Fatigue of the invention Caution system 1 detects degree of fatigues of user U when using an electronic equipment 50 and carries in good time For warning.Fatigue caution system 1 of the invention includes an image acquiring apparatus 10, an object wearing device 20 And a processor 30.Object wearing device 20 includes a sensor 21 and an alarm unit 40.In In Fig. 1 embodiments, image acquiring apparatus 10 and processor 30 are arranged in an electronic equipment 50. Preferably, may also set up another alarm unit 41 in electronic equipment 50.
Please with reference to Fig. 2.Fig. 2 represents that user U wears object wearing device 20 with and uses The schematic diagram of electronic equipment 5.When user operates electronic installation 50, image acquiring apparatus 10 are carried Take a face image 101 of user U and be sent to processor 30.The face image 101, example Such as, whether the countenance of user U and headwork, including eyes have closed action, beat Kazakhstan Owe or head oscillation hangs low etc..When above-mentioned expression and action occurs in user, generally display is used Person U has been in the state of fatigue.Processor 30 produces a static number according to the face image 101 Value 102.Certainly, in order to more clearly judge whether user has reached the state of fatigue really, User is interfered with avoiding undeservedly sending alarm signal, the present invention more provides a wearing dress Put the physiological signal of 20 detection users.As shown in Fig. 2 object wearing device 20 is arranged at user U Body surface, be for example worn on wrist.Sensor 21 can detect the physiology that user U sends Signal 211, the physiological signal 211 is, for example, the pulse heartbeat of user U, VPV or Hand vibrations number of times etc., it is sufficient to objective to show the physiologic information that user U reaches fatigue.Pass Sensor 21 produces a dynamic value 212 after physiological signal 211 is received and is sent to processor 30. Processor 30 then carries out computing to judge whether order warning to static number 102 and dynamic value 212 Unit 40 sends alarm signal.In the present embodiment, processor 30 is to dynamic value 212 and static state Numerical value 102 carries out totalling computing, and produces a drive when two numerical value summations reach a fatigue criteria value E Dynamic signal 301 gives alarm unit 40,41.Alarm unit 40, such as an electromagnetic shaker, receive driving Signal 301 and produce an alarm signal 401, for example vibrations give user U.User is because of hand Experience vibrations and reach alarm function.Or alarm unit 40 can be to produce mild electrical shock effect Micro electric shock device.User reaches alarming effect because hand experiences electric shock effect.And alarm unit 41 can be a buzzer, be used to produce warning sound with up to alarming effect.
Furthermore, the default normal physiologic values A of sensor 21, and processor 30 also includes one The tired numerical value B of face recognition unit 103, an a Preset Time C and standard number D.Should Normal physiologic values A is the average value of the physiologic information under human body Normal Conscious situation, including, for example, Pulse beats are per minute to reach 65 milliliters or hand more than 60 times, VPV flowing each second There are physiologic information data of obvious significantly vibrations etc. the display human body in waking state.As user U Physiological signal 211 when being not reaching to normal physiologic values A, sensor 21 is in any one physiological signal 211 produce a dynamic value 212 when not reaching normal physiologic values A.Normal physiologic values A can built-in be one Preset value is voluntarily adjusted by using person U.Additionally, face recognition unit 103 is used to figure Face image 101 as captured by extraction element 10 is identified.In face image 101 is found Occur, such as eyes closed time more than 5 seconds, yawn, rule weak vibrations head or head it is low During vertical action, face recognition unit 103 produces a static number when any action is detected 102.Tired numerical value B is the sum total of dynamic value 212 and static number 102.As fatigue exponent B When reaching fatigue criteria value E, processor 30 judges that user U is in fatigue state.Also, In order to accurately judge, processor 30 is to calculate the number of times that fatigue numerical value B reaches fatigue criteria value E, When tired numerical value B reaches fatigue criteria value E by static number 102, dynamic value 212 and should Tired numerical value B zero and add up the computing tired numerical value B, wherein Preset Time C again again It is the time of the number of times for being added up again after the tired numerical value B of record is zeroed and reaching fatigue criteria value E. Standard number D is the number of times index for judging human-body fatigue.That is, when processor 30 is default The tired numerical value B that be recorded within time C reach fatigue criteria value E number of times reach D times when i.e. It is judged to fatigue.
The operational circumstances of system are illustrated so that user operates an electronic installation 50 as an example below.Refer to Electronic installation 50 shown in Fig. 2, Fig. 2 is a desktop computer, but the system electronic installation also Can be, for example panel computer, notebook computer or intelligent mobile phone.As shown in Fig. 2 user U Wear object wearing device 20 and use desktop computer.Wherein, desktop computer includes a separation Keyboard 60, the image acquiring apparatus 10 are arranged on keyboard 60.Alarm unit 40,41 is arranged at In object wearing device 20 and keyboard 60.In the face recognition unit 103 in the present embodiment, processor 30 It is according to there is eyes closed in face image 101 and this binomial action of yawning is as distinguishing indexes. And the physiological signal 211 of the user U used in this example then includes pulse heartbeat, VPV And hand vibrations.Additionally, the Preset Time C in this example is 5 minutes, standard number D is 3 times, Fatigue criteria value is 3.When there is eyes closed or yawns in the countenance of user U, Static number 102 Jia 1 by processor 30.And the sensor 21 for working as object wearing device 20 is sensed and made When the vibrations of the pulse heartbeat of user U, VPV or hand do not reach normal physiologic values A, Ji Jiangdong State numerical value 212 Jia 1 and dynamic value 212 is sent into processor 30.Processor 30 is by static number Value 102 and dynamic value 212 are added and produce tired numerical value B.For example, when user produces During the expression that life is once yawned, static number 102 is increased by one, and because sensor 21 is not detected To abnormal physiology phenomenon, therefore dynamic value 212 is 0.Tired numerical value B now is 1.Then, When the pulse heartbeat that sensor 21 senses user U is abnormal, dynamic value 212 is increased by one, Tired numerical value B now becomes 2.Then it is static when user the expression yawned occurs again Numerical value 102 is increased by one and becomes 2 again, and tired numerical value B now becomes 3.Due to tired numerical value B has reached default fatigue criteria value 3, therefore fatigue numerical value B is zeroed, and static number 102 And the numerical value of dynamic value 212 is also zeroed.Afterwards, continuously there is the table yawned for 3 times in user Feelings, static number 102 continuously Jia 1 and is become 3, tired numerical value B is become 3 and fatigue again The numerical value of numerical value B, static number 102 and dynamic value 212 is also zeroed again.The rest may be inferred, When tired numerical value B become 3 the 1st time and by zero after in 5 minutes, in the number of tired numerical value B When value is accumulated as 3 the 3rd time, processor 30 produces drive signal 301 to give alarm unit 40, so as to 1 generation alarm signal 401 gives user, and remind needs rest according to this.
In sum, the tired caution system that the present invention is provided, is arranged in electronic installation, using electricity Sub-device element in itself and wearable device of arranging in pairs or groups detects degree of fatigue jointly, can more clearly detect User whether the state in fatigue, and carry with and accurately send warning.
The above takes off only presently preferred embodiments of the present invention, and the non-limiting present invention is only capable of with this embodiment For, also the scope of non-limiting patent application, completes so that the technology taken off of the invention and spirit are lower such as Invention, be all contained within the scope of patent requirements of the invention.

Claims (10)

1. a kind of tired caution system, it is characterised in that including:
One image acquiring apparatus, are used to extract a face image of a user;
One object wearing device, located at the body surface of the user, the object wearing device includes:
One sensor, is used to sense a physiological signal of the user, and produce a dynamic value;
One processor, produces a static number, and calculate the static number and be somebody's turn to do according to the face image Dynamic value, a drive is produced when the static number and the dynamic value are added up and reach a fatigue criteria value Dynamic signal;And,
An at least alarm unit, receives the drive signal and one alarm signal of generation gives this and uses Person.
2. fatigue caution system as claimed in claim 1, it is characterised in that the processor is in this Static number is added up with the dynamic value and produces a tired numerical value, and the tired numerical value reaches fatigue mark During quasi- value, the tired numerical value, the static number and the dynamic value are zeroed and the fatigue is recalculated Numerical value, and the number of times of the fatigue criteria value ought be reached more than a mark in the tired numerical value in a Preset Time During quasi- number of times, the processor produces the drive signal.
3. fatigue caution system as claimed in claim 1, it is characterised in that the face image is The countenance of the user and headwork.
4. fatigue caution system as claimed in claim 3, it is characterised in that the countenance bag Include eyes closed state, if yawn or head oscillation situation.
5. fatigue caution system as claimed in claim 1, it is characterised in that the sensor is detected The pulse heartbeat of the user or VPV or hand vibrations number of times, when pulse heartbeat or VPV Or hand vibrations number of times be less than a normal physiologic values when, the sensor produces the dynamic value.
6. fatigue caution system as claimed in claim 1, it is characterised in that the processor is set Inside an electronic installation, and the object wearing device signal is connected to the electronic installation.
7. fatigue caution system as claimed in claim 6, it is characterised in that the electronic installation is One panel computer, notebook computer or desktop computer.
8. fatigue caution system as claimed in claim 6, it is characterised in that the alarm unit sets It is placed in the electronic installation or the object wearing device.
9. fatigue caution system as claimed in claim 1, it is characterised in that the alarm unit is One buzzer or electromagnetic shaker or micro electric shock device.
10. fatigue caution system as claimed in claim 6, it is characterised in that the desktop computer Including one separate keyboard and the image acquiring apparatus are arranged at the keyboard.
CN201510880594.4A 2015-12-03 2015-12-03 Tired caution system Withdrawn CN106843455A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510880594.4A CN106843455A (en) 2015-12-03 2015-12-03 Tired caution system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510880594.4A CN106843455A (en) 2015-12-03 2015-12-03 Tired caution system

Publications (1)

Publication Number Publication Date
CN106843455A true CN106843455A (en) 2017-06-13

Family

ID=59150122

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510880594.4A Withdrawn CN106843455A (en) 2015-12-03 2015-12-03 Tired caution system

Country Status (1)

Country Link
CN (1) CN106843455A (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102073857A (en) * 2011-01-24 2011-05-25 沈阳工业大学 Multimodal driver fatigue detection method and special equipment thereof
CN202389216U (en) * 2011-11-16 2012-08-22 深圳华路仕科技有限公司 Safety locomotive driving assistance system
CN103714660A (en) * 2013-12-26 2014-04-09 苏州清研微视电子科技有限公司 System for achieving fatigue driving judgment on basis of image processing and fusion between heart rate characteristic and expression characteristic
CN103824420A (en) * 2013-12-26 2014-05-28 苏州清研微视电子科技有限公司 Fatigue driving identification system based on heart rate variability non-contact measuring
CN104068868A (en) * 2014-06-30 2014-10-01 优迪亚电子(深圳)有限公司 Method and device for monitoring driver fatigue on basis of machine vision
CN104170360A (en) * 2014-02-14 2014-11-26 华为终端有限公司 Intelligent response method of user equipment, and user equipment
CN104545846A (en) * 2015-01-04 2015-04-29 深圳奇沃智联科技有限公司 Physiological measurement binding band monitoring caring system
CN104586352A (en) * 2013-10-31 2015-05-06 鸿富锦精密工业(武汉)有限公司 Fatigue detection method and system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102073857A (en) * 2011-01-24 2011-05-25 沈阳工业大学 Multimodal driver fatigue detection method and special equipment thereof
CN202389216U (en) * 2011-11-16 2012-08-22 深圳华路仕科技有限公司 Safety locomotive driving assistance system
CN104586352A (en) * 2013-10-31 2015-05-06 鸿富锦精密工业(武汉)有限公司 Fatigue detection method and system
CN103714660A (en) * 2013-12-26 2014-04-09 苏州清研微视电子科技有限公司 System for achieving fatigue driving judgment on basis of image processing and fusion between heart rate characteristic and expression characteristic
CN103824420A (en) * 2013-12-26 2014-05-28 苏州清研微视电子科技有限公司 Fatigue driving identification system based on heart rate variability non-contact measuring
CN104170360A (en) * 2014-02-14 2014-11-26 华为终端有限公司 Intelligent response method of user equipment, and user equipment
CN104068868A (en) * 2014-06-30 2014-10-01 优迪亚电子(深圳)有限公司 Method and device for monitoring driver fatigue on basis of machine vision
CN104545846A (en) * 2015-01-04 2015-04-29 深圳奇沃智联科技有限公司 Physiological measurement binding band monitoring caring system

Similar Documents

Publication Publication Date Title
Ren et al. Research of fall detection and fall prevention technologies: A systematic review
Vallabh et al. Fall detection monitoring systems: a comprehensive review
Cao et al. E-FallD: A fall detection system using android-based smartphone
Doukas et al. Advanced patient or elder fall detection based on movement and sound data
EP3065628B1 (en) Biomechanical activity monitoring
RU2584459C2 (en) Gesture control for monitoring vital body signs
US10539549B2 (en) Mobile blood alcohol content and impairment sensing device
WO2007138930A1 (en) Fatigue estimation device and electronic apparatus having the fatigue estimation device mounted thereon
CN201691930U (en) Human movement state monitoring device
He et al. Falling-incident detection and alarm by smartphone with Multimedia Messaging Service (MMS)
CN104274191B (en) A kind of Psychological Evaluation method and system thereof
CN104720787A (en) Method and smart clothing for achieving real-time fatigue monitoring
EP3315914B1 (en) Step counting method, device and terminal
Shi et al. Fall Detection Algorithm Based on Triaxial Accelerometer and Magnetometer.
Gjoreski et al. Context-based fall detection and activity recognition using inertial and location sensors
Nizam et al. A study on human fall detection systems: Daily activity classification and sensing techniques
Martínez-Villaseñor et al. Deep learning for multimodal fall detection
KR20130112158A (en) Apparatus and method for predicting or detecting a fall
Lin et al. Wearable device for real-time monitoring of human falls
Patsadu et al. Fall motion detection with fall severity level estimation by mining kinect 3D data stream.
TWI582728B (en) Fatigue-warning system
Adaskevicius Method for recognition of the physical activity of human being using a wearable accelerometer
CN108348157B (en) Heart rate detection using multi-purpose capacitive touch sensors
Zhao et al. Fall detecting and alarming based on mobile phone
Zhen et al. Wearable preimpact fall detector using SVM

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication

Application publication date: 20170613

WW01 Invention patent application withdrawn after publication