CN101937604A - Sleep monitoring system based on human body detection and method thereof - Google Patents
Sleep monitoring system based on human body detection and method thereof Download PDFInfo
- Publication number
- CN101937604A CN101937604A CN 201010275083 CN201010275083A CN101937604A CN 101937604 A CN101937604 A CN 101937604A CN 201010275083 CN201010275083 CN 201010275083 CN 201010275083 A CN201010275083 A CN 201010275083A CN 101937604 A CN101937604 A CN 101937604A
- Authority
- CN
- China
- Prior art keywords
- sleep
- human
- human body
- human detection
- image
- 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.)
- Pending
Links
Images
Landscapes
- Alarm Systems (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention provides a sleep monitoring system based on human body detection. The system shoots the image of the sleeping human body through an infrared/near-infrared camera, analyzes the part of the human body in the monitoring area on the image to determine if the sleeper kicks a quilt or not, is close to the edge of the bed, falls off the bed or not, wakes up or not and the like, then alarms according to the analysis result. The infrared/near-infrared light source has no influence on the human body, thereby having no interference on the sleeping of the user.
Description
[technical field]
The present invention relates to the family intelligent monitoring field, particularly about a kind of sleep monitoring system and method thereof based on human detection.
[background technology]
Children comprise the baby because physique is weak, resistibility is poor, may cause sickly if catch a cold during sleep, and therefore, children comprise that baby's sleep state is that many heads of a family are concerned about.The head of a family can not accompany on sleeping child next door owing to the needs of work, rest etc. always.Whether in bed owing to keep in mind child and whether played quilt, problem such as waken up midnight and often sleep not steady and surely, even a room that goes child evening repeatedly at night for many heads of a family.If there is a kind of supervisory system, when children's sleep state goes wrong, can by prompt tone prompting sleeping or at one's side monitoring personnel not, can allow the monitoring personnel very first time pinpoint the problems and solve, so not only can improve children's sleep quality, also the thing that guardian person is Myself relievedly provides many times to them.Because be the monitoring sleep state, the existence of supervisory system should not cause interference to sleep.Existing home-use video monitoring system is based on the visible light environment more at present, for the application of sleep quality monitoring, the existence of visible light may reduce monitored person's sleep quality, if, as seen light intensity is low excessively, can reduce the monitoring effect of supervisory system.To the supervisory system of children sleeping situation also seldom, except playing situation such as quilt, at present whether children are fallen down conditions associated monitoring and alarming system such as bed also seldom.
Certainly, children's sleep monitoring is one of them aspect, and this type of situation also can be generalized in various patients or old man's the sleep monitoring.
[summary of the invention]
The object of the present invention is to provide a kind of sleep monitoring system, can monitor and timely warning reminding supervisor sleeper's state based on human detection.
Another object of the present invention is to provide a kind of sleep method for supervising based on human detection, it can be monitored and timely warning reminding supervisor sleeper's state.
For reaching aforementioned purpose, the invention provides a kind of sleep monitoring system based on human detection, it comprises:
Image acquisition units, the acquisition monitoring image;
Image analyzing unit, image analyzing unit comprises human detection module, the state of human detection module human body is determined the sleep state of human body according to detected body state, and sends the output signal that expression should be reported to the police when sleep state is improper sleep state;
The warning message output unit, its output signal according to image analyzing unit is sent warning message.
The present invention also provides a kind of sleep method for supervising based on human detection, and it comprises:
Monitoring range is carried out image acquisition;
The image of gathering is carried out graphical analysis to obtain the sleep state of human body, when sleep state is improper sleep state, send the output signal that expression should be reported to the police;
According to the graphical analysis result, output alarm information.
Sleep monitoring system and method based on human detection of the present invention by the human body parts in the guarded region in the image is analyzed, are determined sleeper's state, report to the police according to the result who analyzes then.So not only can improve sleeper's sleep quality, also the thing that guardian person is Myself relievedly provides many times to them.
[description of drawings]
Fig. 1 is the structured flowchart of sleep monitoring system among the embodiment.
Fig. 2 is the process flow diagram of sleep monitoring system among the embodiment.
Fig. 3 A is for playing the process flow diagram of one of them embodiment of monitored method among the embodiment.
Fig. 3 B is for playing the process flow diagram of one of them embodiment of monitored method among the embodiment.
Fig. 3 C is for playing the process flow diagram of one of them embodiment of monitored method among the embodiment.
Fig. 3 D is for playing the process flow diagram of one of them embodiment of monitored method among the embodiment.
Fig. 4 falls down the process flow diagram of a method for supervising for people among the embodiment.
Fig. 5 be among the embodiment people at the process flow diagram of bedside edge method for supervising.
Fig. 6 is the process flow diagram of the method for supervising of wakeing up among the embodiment.
Fig. 7 is the process flow diagram of nightmare method for supervising among the embodiment.
[embodiment]
Detailed description of the present invention is mainly come the running of direct or indirect simulation technical solution of the present invention by program, step, logical block, process or other symbolistic descriptions.Be the thorough the present invention that understands, in ensuing description, stated a lot of specific detail.And when not having these specific detail, the present invention then may still can realize.Affiliated those of skill in the art use these descriptions herein and state that the others skilled in the art in affiliated field effectively introduce their work essence.In other words, be the purpose of the present invention of avoiding confusion, because the understanding easily of method of knowing and program, so they are not described in detail.
Alleged herein " embodiment " or " embodiment " are meant special characteristic, structure or the characteristic that can be contained at least one implementation of the present invention.Different in this manual local " in one embodiment " that occur not are all to refer to same embodiment, neither be independent or optionally mutually exclusive with other embodiment embodiment.In addition, represent the sequence of unit in method, process flow diagram or the functional block diagram of one or more embodiment and revocablely refer to any particular order, also be not construed as limiting the invention.
See also shown in Figure 1ly, it shows the structured flowchart of sleep monitoring system 100 in one embodiment of the invention.As shown in Figure 1, sleep monitoring system 100 comprises image acquisition units 1, image analyzing unit 2 and warning message output unit 3.To introduce the structure of each unit respectively below.
Described image acquisition units 1 comprises guarded region setup unit 11 and monitoring camera 12.
Guarded region setup unit 11 is used to set monitoring range.In order to guarantee to monitor the scope that needs, usually camera all is installed in higher position, some does not need to monitor in the zone of camera shooting this moment, in order to reduce the operand that successive image is analyzed, can only bed and near zone thereof be set at guarded region.Because bed is generally rectangle, therefore can be by the zone in guarded region setup unit 11 frame that four end to end line segments are definite as guarded region.
Please continue to consult shown in Figure 1, aforementioned in one embodiment image analyzing unit 2 comprises monitoring function selected cell 21 and people's face detection module 22, human detection module 23, bed position analysis module 24, quilt detection module 25 and comparison module 26.
Monitoring function selected cell 21 is used for the monitoring function that selected needs are carried out.Described monitoring function can comprise multiple monitoring function, comprises playing detected, sleep position probing, fall down that bed detects, nightmare detects, wakeing up and detect etc., describes in detail in the image analysis process part that the realization of every kind of function will be concrete in the back.At different ages, different sleep environments, the monitoring function that needs may be different.Such as, child use be around have the basket cot of fence, just can there be the danger of falling down bed in child, the position probing of therefore sleeping and to fall down that bed detects be exactly unwanted; If what child used is sleeping bag, just can there be the possibility of kicking quilt off, also detected with regard to not needing to play.Select few monitoring function as required, can reduce the operand of system, reduce requirement equipment.Therefore, before monitoring, can select the monitoring function that need carry out by monitoring function selected cell 21.
People's face detection module 22 detects the state of people's face, and it further comprises expression analysis module 221, eye detection module 222 and sobbing detection module 223.The expression situation of expression analysis module 221 analyst's faces, the normally sleep expression that it image training that comprises that a plurality of normal sleeps expressions of process input and improper sleep are expressed one's feelings obtains and the sorter (not shown) of improper sleep expression, input picture can determine that through this sorter the normal expression of sleeping still is that improper sleep is expressed one's feelings when expressing one's feelings analysis.Whether eye detection module 222 detects sleeper's eyes and opens.Whether whether sobbing detection module 223 is analyzed human bodies and is being cryyed, for example open by the face that detects people's face, and whether the face of human body has mode such as tears to judge whether human body is cryying.The testing result of people's face detection module 22 can judge whether separately to send alerting signal, if for example the expression of people's face is improper sleep expression, if perhaps eye detection module 222 detects sleeper's eyes and opens, can directly judge and to send alerting signal.
The particular location and the state of human detection module 23 human body, wherein the human body state comprises posture analysis module 231 and skin analysis module 232.Wherein posture analysis module 231 analyzes whether human body is the sleeping posture of lying down, if human body is non-sleeping postures such as sitting up or stand or squat down, then human detection module 23 judgements need be sent the warning message of wakeing up.Wherein skin analysis module 232 is used to analyze the skin that human body exposes and whether surpasses predetermined value, if the skin that human body is exposed surpasses predetermined value, then represent human body play by, need send and play by warning message.The testing result of human detection module 23 can judge whether separately to send alerting signal, if for example human body sits up, perhaps the skin that exposes of human body surpasses predetermined value, can directly judge and need send alerting signal.The back will illustrate that the testing result of aforementioned human detection module 23 also can mutually combine with the testing result of other modules, and whether common conduct needs to send the criterion of alerting signal.
The position of bed position analysis module 24 identification bed bodies.25 positions of detecting quilt of quilt detection module.
Described image analyzing unit 2 can further include one and adopts a large amount of lid quilts and play by subimage and train playing of obtaining to be classified device 27, input picture through this play be classified device 27 can draw whether play by analysis result.If play and be classified the device analysis through this, human body exist play by situation, then need to send to play by alerting signal.
Please continue to consult shown in Figure 1, aforementioned warning message output unit 3 can be according to the different warning message of various analysis results output of aforementioned image analyzing unit 2.The output of described warning message can be adopted writing on sound, the image method such as to flash to carry out in one embodiment, can set different alarm sound or change in pattern to different monitoring functions, the monitor staff just can know it is which kind of alarm condition according to the difference of alarm sound or image change like this, thereby solves apace.Also can all adopt identical warning message.
Be appreciated that ground, when sleep monitoring system 100 carried out human detection, people's face detection module 22, bed position analysis module 24, quilt detection module 25 and the comparison module 26 of sleep monitoring system 100 were omissible.If correspondingly only need carry out human detection, so, just do not need the switching between multi-functional, therefore, monitoring function selected cell 21 also is omissible.
Below in conjunction with specific embodiment whole system operation flow process of the present invention and method are elaborated.
See also shown in Figure 2ly, it shows the workflow diagram of whole sleep monitoring system in one embodiment of the invention, and as shown in the figure, the workflow of sleep monitoring system of the present invention comprises the steps:
Step 21: the setting guarded region, because bed is generally rectangle, therefore can be by the zone in the guarded region setup unit frame that four end to end line segments are definite as guarded region;
Step 22: function that need to select monitoring;
Step 23: start camera and monitor, the video image in the acquisition monitoring zone, and vedio data is transferred to image analyzing unit;
Step 24: image analyzing unit is analyzed vedio data and analysis result is transferred to the warning message output unit, and wherein the concrete steps of graphical analysis will describe in detail in the back one by one;
Step 25: the alerting signal prompting supervisor that the output of warning message output unit is different.
Wherein aforementioned image analysis step 24 is according to the monitoring image of input and selected monitoring function image to be analyzed, need to determine whether to report to the police, it further comprises various monitoring function analysis, respectively the analytic process of several different monitoring functions is described below.
At first will elaborate to playing monitored function.
See also shown in Fig. 3 A, the process flow diagram of a detected embodiment is played in its demonstration, and it comprises the steps:
Step 301: the quilt in the input picture is detected;
Step 302: the position to the bed in the input picture is detected;
Step 303: the position to quilt in the input picture and bed compares, if the difference of quilt and the position of bed surpasses predetermined value, thinks that then quilt has fallen down bed, represents that then human body do not build quilt, and then the warning message output unit sends alerting signal; If less than predetermined value, returning, the difference of the position of quilt and bed continues to detect.
See also shown in Fig. 3 B, the process flow diagram of another detected embodiment is played in its demonstration, and it comprises the steps:
Step 311: input picture is carried out human detection, extract area of skin color by the skin analysis module;
Step 312: calculate human body and expose the ratio in the zone of skin;
Step 313: judge whether the ratio that human body exposes the zone of skin reaches predetermined value, surpass predetermined value and think that then quilt is kicked off that then the warning message output unit sends alerting signal if human body exposes the zone of skin; If the zone that human body exposes skin surpasses predetermined value and then returns and proceed human detection.
See also shown in Fig. 3 C, the detected process flow diagram of an embodiment is again played in its demonstration, and it comprises the steps:
Step 321: input picture is carried out quilt detect;
Step 322: input picture is carried out human detection;
Step 323: quilt in the input picture and human body are compared, if the human body center with by the position difference of subcenter less than predetermined value, judge that then human body is to be covered with quilt, return and proceed to detect; If human body and quilt position difference surpass predetermined value, represent that then the sleeper has kicked quilt off, then the warning message output unit sends alerting signal.
See also shown in Fig. 3 D, the process flow diagram of detected another embodiment is played in its demonstration, and it comprises the steps:
Step 331: the image of gathering a large amount of lid quilts and playing quilt is trained, obtain a lid by with play by sorter;
Step 332: input picture is analyzed through sorter;
Step 333: sorter judge human body whether play by, if human body exists and to play by behavior, then send alerting signal through the warning message output unit, if human body does not exist and plays by behavior, then return and proceed to analyze.
To elaborate to falling down a monitoring function below.
See also shown in Figure 4ly, it shows that human body falls down the process flow diagram of an embodiment of bed monitoring, and it comprises the steps:
Step 401: input picture is carried out human detection, determine the position of human body;
Step 402: if do not detect human body in input picture, represent that then human body has exceeded the scope of a body, may fall down bed, this moment, the warning message output unit sent alerting signal.
To elaborate to the human body monitoring position function of sleeping below.
See also shown in Figure 5ly, it shows that human body is positioned at the process flow diagram that the bedside edge may fall down an embodiment of bed monitoring, and it comprises the steps:
Step 501: input picture is carried out human detection, determine the position of human body;
Step 502: input picture is carried out a health check-up survey, determine the position of bed body:
Step 503: position of human body and bed body position are compared, if the human body center surpasses predetermined value with the difference of bed body center, the sleep position of then representing human body is the edge at bed, then thinks to have the danger of falling down bed, and then the warning message output unit sends alerting signal.
To elaborate to the monitoring function of wakeing up below.
See also shown in Figure 6, the wake up process flow diagram of an embodiment of monitoring function of its demonstration, it comprises the steps:
Step 601: input picture;
Step 602: input picture is carried out the eye detection that people's face detects, and the judgement eyes are being opened or are being closed, if eyes are to open, then think to wake up, and send alerting signal; If eyes are to close, then return and continue to detect;
Step 612: the human posture who input picture is carried out the human body behavior detects; And judge whether the human posture sits up, and if sit up, represent that then the sleeper wake up, then send alerting signal;
Step 622: the sobbing behavior of input picture being carried out the human body behavior detects, and judges whether human body exists dehisce sobbing or human body face that sobbing behaviors such as tears are arranged.If human body is to cry, representing that then the sleeper wake up, then sending alerting signal.
To elaborate to the nightmare monitoring function below.
See also shown in Figure 7ly, it shows the process flow diagram of an embodiment of nightmare monitoring function, and it comprises the steps:
Step 701: the image of gathering a large amount of normal sleep expressions and improper sleep expression is trained the expression classification device of normally being slept;
Step 702: image is imported the expression classification device analyze;
Step 703: through the analysis of expression classification device, if expression is not normal sleep expression, but relatively more nervous strange expression, then expressing possibility has been nightmare, carries out the warning of nightmare this moment.
The present invention proposes a kind of sleep monitoring system based on infrared/near infrared camera, take the image of sleep quality by infrared/near infrared camera, then the part in the guarded region in the image is analyzed, determine the sleeper whether play quilt, whether near the edge of bed, whether fall down bed, whether nightmare, whether wake up etc., report to the police according to the result who analyzes then.Infrared/near-infrared light source can not exert an influence to the people, therefore can not produce user's sleep and disturb.
Above-mentioned explanation has fully disclosed the specific embodiment of the present invention.It is pointed out that and be familiar with the scope that any change that the person skilled in art does the specific embodiment of the present invention does not all break away from claims of the present invention.Correspondingly, the scope of claim of the present invention also is not limited only to previous embodiment.
Claims (13)
1. sleep monitoring system based on human detection is characterized in that it comprises:
Image acquisition units, the acquisition monitoring image;
Image analyzing unit, image analyzing unit comprises human detection module, the state of human detection module human body is determined the sleep state of human body according to detected body state, and sends the output signal that expression should be reported to the police when sleep state is improper sleep state;
The warning message output unit, its output signal according to image analyzing unit is sent warning message.
2. the sleep monitoring system based on human detection as claimed in claim 1, it is characterized in that: human detection module comprises human posture's analysis module, human detection module analyzes whether human body is the sleeping posture of lying down, human posture's analysis module output signal that output should be wakeeed up and be reported to the police when detecting the human posture for non-sleeping posture.
3. the sleep monitoring system based on human detection as claimed in claim 1, it is characterized in that: human detection module comprises the skin analysis module, whether the zone that skin analysis module analysis human body exposes skin surpasses predetermined value, and the output when detecting zone that human body exposes skin and surpass predetermined value of skin analysis module should be played the output signal of being reported to the police.
4. the sleep monitoring system based on human detection as claimed in claim 1 is characterized in that: described camera is for fixing infrared/near infrared camera.
5. the sleep monitoring system based on human detection as claimed in claim 1 is characterized in that: described camera is that a plurality of cameras are monitored from a plurality of angles.
6. the sleep monitoring system based on human detection as claimed in claim 1, it is characterized in that: described warning message output unit can adopt the writing on sound, the image to flash and report to the police, and can set different alarm sound or change in pattern to different monitoring functions.
7. sleep method for supervising based on human detection is characterized in that it comprises:
Monitoring range is carried out image acquisition;
The image of gathering is carried out graphical analysis to obtain the sleep state of human body, when sleep state is improper sleep state, send the output signal that expression should be reported to the police;
According to the graphical analysis result, output alarm information.
8. the sleep method for supervising based on human detection as claimed in claim 7, it is characterized in that: this sleep method for supervising further comprises the human posture in the image is detected, if the human posture judges then that for non-sleeping posture the sleeper wake up, and send the warning of wakeing up.
9. the sleep method for supervising based on human detection as claimed in claim 7, it is characterized in that: this sleep method for supervising comprises that further the zone that the human body in the image is exposed skin detects, human body in image exposes the zone of skin greater than predetermined value, judge that then human body has the situation of playing quilt, and send to play and reported to the police.
10. the sleep method for supervising based on human detection as claimed in claim 9 is characterized in that: describedly guarded region is carried out image acquisition further comprise the step that preestablishes the monitored picture scope.
11. the sleep method for supervising based on human detection as claimed in claim 9 is characterized in that: to guarded region carry out that image acquisition uses for fixing infrared/the near infrared camera.
12. the sleep method for supervising based on human detection as claimed in claim 9 is characterized in that: guarded region is carried out image acquisition monitor from a plurality of angles for using a plurality of cameras.
13. the sleep method for supervising based on human detection as claimed in claim 9, it is characterized in that: output alarm information can adopt the writing on sound, the image to flash and report to the police, and can set different alarm sound or change in pattern to different monitoring functions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010275083 CN101937604A (en) | 2010-09-08 | 2010-09-08 | Sleep monitoring system based on human body detection and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010275083 CN101937604A (en) | 2010-09-08 | 2010-09-08 | Sleep monitoring system based on human body detection and method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101937604A true CN101937604A (en) | 2011-01-05 |
Family
ID=43390916
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201010275083 Pending CN101937604A (en) | 2010-09-08 | 2010-09-08 | Sleep monitoring system based on human body detection and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101937604A (en) |
Cited By (36)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521949A (en) * | 2011-12-29 | 2012-06-27 | 四川大学 | Method for using wind chime to prompt change of child sleeping posture |
| CN103139503A (en) * | 2011-11-25 | 2013-06-05 | 沈阳理工大学 | Automatic power-off device, and television and set top box with automatic power-off device |
| CN103269451A (en) * | 2013-04-27 | 2013-08-28 | 沈阳理工大学 | Automatic shutdown method using video monitoring |
| CN103375869A (en) * | 2012-04-12 | 2013-10-30 | 珠海格力电器股份有限公司 | Air conditioner control method, device and air conditioner |
| CN103544807A (en) * | 2013-11-07 | 2014-01-29 | 赵俊 | Infant sleeping nursing method and infant sleeping nursing system |
| CN104063994A (en) * | 2014-03-13 | 2014-09-24 | 苏州天趣信息科技有限公司 | Warning device for identifying human consciousness based on camera |
| CN104083160A (en) * | 2014-06-30 | 2014-10-08 | 天津大学 | Sleep state monitoring method and device based on machine vision |
| CN104104927A (en) * | 2014-07-30 | 2014-10-15 | 天津三星电子有限公司 | Infant monitoring and reminding method and system based on television |
| CN104376582A (en) * | 2013-08-13 | 2015-02-25 | 联想(北京)有限公司 | Monitoring method and electronic terminal |
| CN104506823A (en) * | 2015-01-08 | 2015-04-08 | 上海电信工程有限公司 | Sleep monitoring system and method |
| CN104616424A (en) * | 2014-06-30 | 2015-05-13 | 杨泽松 | System for preventing children from kicking quilt |
| CN104606003A (en) * | 2015-02-02 | 2015-05-13 | 河海大学常州校区 | Intelligent nursing bed based on face recognition and working method of intelligent nursing bed |
| CN104776551A (en) * | 2014-12-22 | 2015-07-15 | 珠海格力电器股份有限公司 | Monitoring method and device for sleep state under air conditioner and air conditioner |
| CN104994335A (en) * | 2015-06-11 | 2015-10-21 | 广东欧珀移动通信有限公司 | Alarm method and terminal |
| CN105096518A (en) * | 2014-05-07 | 2015-11-25 | 青岛海尔空调电子有限公司 | Infant temperature monitoring method and system |
| CN105096527A (en) * | 2015-06-04 | 2015-11-25 | 上海卓易科技股份有限公司 | Monitoring and alerting method and system based on child's sleep state |
| CN105575049A (en) * | 2015-06-26 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Early warning method, device and terminal |
| CN106313048A (en) * | 2016-09-30 | 2017-01-11 | 北京光年无限科技有限公司 | Method and device for monitoring wake-up state of user based on intelligent robot |
| CN106333690A (en) * | 2016-10-21 | 2017-01-18 | 沃康（上海）家具有限公司 | Sleep monitoring system based on Internet of Things |
| CN106464844A (en) * | 2014-04-08 | 2017-02-22 | 琼和欧文·雅各布斯以色列理工学院-康奈尔研究所 | Systems and methods for configuring baby monitor cameras to provide uniform data sets for analysis |
| CN106471523A (en) * | 2014-06-30 | 2017-03-01 | 微软技术许可有限责任公司 | Colour code using infrared imaging |
| CN106537471A (en) * | 2014-03-27 | 2017-03-22 | 飞利浦灯具控股公司 | Detection and notification of pressure waves by lighting units |
| CN107316439A (en) * | 2017-08-03 | 2017-11-03 | 广东美的制冷设备有限公司 | Air conditioner and pendant bed behavioral value method based on it, device |
| CN110277163A (en) * | 2019-06-12 | 2019-09-24 | 合肥中科奔巴科技有限公司 | State recognition and monitoring early-warning system on view-based access control model old man and patient bed |
| CN110812053A (en) * | 2019-11-22 | 2020-02-21 | 溧阳市人民医院 | Alternate-section type multifunctional medical air cushion bed |
| CN111059504A (en) * | 2020-01-19 | 2020-04-24 | 恒明星光智慧文化科技(深圳)有限公司 | Outdoor self-service physical examination intelligent street lamp and method |
| CN111553243A (en) * | 2020-04-24 | 2020-08-18 | 闻泰通讯股份有限公司 | Alarm control method and device, terminal equipment and computer readable storage medium |
| CN112535459A (en) * | 2020-11-24 | 2021-03-23 | 创新奇智(北京)科技有限公司 | Sleep abnormity detection method and device, electronic equipment and readable storage medium |
| US10970557B2 (en) | 2018-04-27 | 2021-04-06 | Wistron Corporation | Posture determination method, electronic system and non-transitory computer-readable recording medium |
| CN112712020A (en) * | 2020-12-29 | 2021-04-27 | 文思海辉智科科技有限公司 | Sleep monitoring method, device and system |
| CN112806962A (en) * | 2021-01-18 | 2021-05-18 | 珠海格力电器股份有限公司 | Child sleep state monitoring method and device based on TOF and infrared module |
| CN113180410A (en) * | 2021-05-26 | 2021-07-30 | 舒城县乐启儿童用品有限公司 | Child bed with monitoring function and working method thereof |
| CN113497921A (en) * | 2021-07-07 | 2021-10-12 | 合肥英睿系统技术有限公司 | Monitoring method and intelligent monitoring system |
| US11297284B2 (en) | 2014-04-08 | 2022-04-05 | Udisense Inc. | Monitoring camera and mount |
| US11622703B2 (en) | 2017-11-22 | 2023-04-11 | Udisense Inc. | Respiration monitor |
| CN115956881A (en) * | 2022-12-22 | 2023-04-14 | 湘南学院 | Old nursing risk assessment system based on big data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10336630A (en) * | 1997-06-05 | 1998-12-18 | Sanyo Electric Co Ltd | Monitor system |
| JP2000099838A (en) * | 1998-09-18 | 2000-04-07 | Chino Corp | Human body detection device |
| CN1939215A (en) * | 2005-09-27 | 2007-04-04 | 刘星 | Human-body marking image monitoring system and its using system |
| US20090244281A1 (en) * | 2008-03-26 | 2009-10-01 | Canon Kabushiki Kaisha | Monitoring apparatus and display processing method for the monitoring apparatus |
-
2010
- 2010-09-08 CN CN 201010275083 patent/CN101937604A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10336630A (en) * | 1997-06-05 | 1998-12-18 | Sanyo Electric Co Ltd | Monitor system |
| JP2000099838A (en) * | 1998-09-18 | 2000-04-07 | Chino Corp | Human body detection device |
| CN1939215A (en) * | 2005-09-27 | 2007-04-04 | 刘星 | Human-body marking image monitoring system and its using system |
| US20090244281A1 (en) * | 2008-03-26 | 2009-10-01 | Canon Kabushiki Kaisha | Monitoring apparatus and display processing method for the monitoring apparatus |
Cited By (49)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103139503A (en) * | 2011-11-25 | 2013-06-05 | 沈阳理工大学 | Automatic power-off device, and television and set top box with automatic power-off device |
| CN102521949A (en) * | 2011-12-29 | 2012-06-27 | 四川大学 | Method for using wind chime to prompt change of child sleeping posture |
| CN103375869A (en) * | 2012-04-12 | 2013-10-30 | 珠海格力电器股份有限公司 | Air conditioner control method, device and air conditioner |
| CN103375869B (en) * | 2012-04-12 | 2015-12-02 | 珠海格力电器股份有限公司 | The control method of air-conditioner, device and air-conditioner |
| CN103269451A (en) * | 2013-04-27 | 2013-08-28 | 沈阳理工大学 | Automatic shutdown method using video monitoring |
| CN104376582A (en) * | 2013-08-13 | 2015-02-25 | 联想(北京)有限公司 | Monitoring method and electronic terminal |
| CN103544807A (en) * | 2013-11-07 | 2014-01-29 | 赵俊 | Infant sleeping nursing method and infant sleeping nursing system |
| CN104063994A (en) * | 2014-03-13 | 2014-09-24 | 苏州天趣信息科技有限公司 | Warning device for identifying human consciousness based on camera |
| CN104063994B (en) * | 2014-03-13 | 2017-01-04 | 罗普特（厦门）科技集团有限公司 | A kind of alarming device based on photographic head identification consciousness of personality |
| CN106537471A (en) * | 2014-03-27 | 2017-03-22 | 飞利浦灯具控股公司 | Detection and notification of pressure waves by lighting units |
| CN106464844A (en) * | 2014-04-08 | 2017-02-22 | 琼和欧文·雅各布斯以色列理工学院-康奈尔研究所 | Systems and methods for configuring baby monitor cameras to provide uniform data sets for analysis |
| CN113205015A (en) * | 2014-04-08 | 2021-08-03 | 乌迪森斯公司 | System and method for configuring a baby monitor camera |
| US11297284B2 (en) | 2014-04-08 | 2022-04-05 | Udisense Inc. | Monitoring camera and mount |
| CN105096518B (en) * | 2014-05-07 | 2017-09-29 | 青岛海尔空调电子有限公司 | A kind of infant's temperature monitoring method and monitoring system |
| CN105096518A (en) * | 2014-05-07 | 2015-11-25 | 青岛海尔空调电子有限公司 | Infant temperature monitoring method and system |
| CN104616424A (en) * | 2014-06-30 | 2015-05-13 | 杨泽松 | System for preventing children from kicking quilt |
| CN106471523B (en) * | 2014-06-30 | 2020-03-03 | 微软技术许可有限责任公司 | Color identification using infrared imaging |
| US10936900B2 (en) | 2014-06-30 | 2021-03-02 | Microsoft Technology Licensing, Llc | Color identification using infrared imaging |
| CN106471523A (en) * | 2014-06-30 | 2017-03-01 | 微软技术许可有限责任公司 | Colour code using infrared imaging |
| CN104083160A (en) * | 2014-06-30 | 2014-10-08 | 天津大学 | Sleep state monitoring method and device based on machine vision |
| CN104104927B (en) * | 2014-07-30 | 2017-11-14 | 天津三星电子有限公司 | A kind of baby's monitoring and reminding method and system based on TV |
| CN104104927A (en) * | 2014-07-30 | 2014-10-15 | 天津三星电子有限公司 | Infant monitoring and reminding method and system based on television |
| CN104776551B (en) * | 2014-12-22 | 2017-09-15 | 珠海格力电器股份有限公司 | Sleep state monitoring method, device and air-conditioning under a kind of air-conditioning |
| CN104776551A (en) * | 2014-12-22 | 2015-07-15 | 珠海格力电器股份有限公司 | Monitoring method and device for sleep state under air conditioner and air conditioner |
| CN104506823A (en) * | 2015-01-08 | 2015-04-08 | 上海电信工程有限公司 | Sleep monitoring system and method |
| CN104606003A (en) * | 2015-02-02 | 2015-05-13 | 河海大学常州校区 | Intelligent nursing bed based on face recognition and working method of intelligent nursing bed |
| CN105096527A (en) * | 2015-06-04 | 2015-11-25 | 上海卓易科技股份有限公司 | Monitoring and alerting method and system based on child's sleep state |
| CN104994335A (en) * | 2015-06-11 | 2015-10-21 | 广东欧珀移动通信有限公司 | Alarm method and terminal |
| CN105575049B (en) * | 2015-06-26 | 2018-05-15 | 宇龙计算机通信科技(深圳)有限公司 | A kind of method for early warning, device and terminal |
| CN105575049A (en) * | 2015-06-26 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Early warning method, device and terminal |
| CN106313048B (en) * | 2016-09-30 | 2019-01-22 | 北京光年无限科技有限公司 | The method and device of monitoring user's awake state based on intelligent robot |
| CN106313048A (en) * | 2016-09-30 | 2017-01-11 | 北京光年无限科技有限公司 | Method and device for monitoring wake-up state of user based on intelligent robot |
| CN106333690A (en) * | 2016-10-21 | 2017-01-18 | 沃康（上海）家具有限公司 | Sleep monitoring system based on Internet of Things |
| CN107316439A (en) * | 2017-08-03 | 2017-11-03 | 广东美的制冷设备有限公司 | Air conditioner and pendant bed behavioral value method based on it, device |
| US11622703B2 (en) | 2017-11-22 | 2023-04-11 | Udisense Inc. | Respiration monitor |
| US10970557B2 (en) | 2018-04-27 | 2021-04-06 | Wistron Corporation | Posture determination method, electronic system and non-transitory computer-readable recording medium |
| CN110277163A (en) * | 2019-06-12 | 2019-09-24 | 合肥中科奔巴科技有限公司 | State recognition and monitoring early-warning system on view-based access control model old man and patient bed |
| CN110812053A (en) * | 2019-11-22 | 2020-02-21 | 溧阳市人民医院 | Alternate-section type multifunctional medical air cushion bed |
| CN111059504A (en) * | 2020-01-19 | 2020-04-24 | 恒明星光智慧文化科技(深圳)有限公司 | Outdoor self-service physical examination intelligent street lamp and method |
| CN111553243A (en) * | 2020-04-24 | 2020-08-18 | 闻泰通讯股份有限公司 | Alarm control method and device, terminal equipment and computer readable storage medium |
| CN112535459A (en) * | 2020-11-24 | 2021-03-23 | 创新奇智(北京)科技有限公司 | Sleep abnormity detection method and device, electronic equipment and readable storage medium |
| CN112712020A (en) * | 2020-12-29 | 2021-04-27 | 文思海辉智科科技有限公司 | Sleep monitoring method, device and system |
| CN112712020B (en) * | 2020-12-29 | 2024-05-31 | 文思海辉智科科技有限公司 | Sleep monitoring method, device and system |
| CN112806962A (en) * | 2021-01-18 | 2021-05-18 | 珠海格力电器股份有限公司 | Child sleep state monitoring method and device based on TOF and infrared module |
| CN113180410A (en) * | 2021-05-26 | 2021-07-30 | 舒城县乐启儿童用品有限公司 | Child bed with monitoring function and working method thereof |
| CN113180410B (en) * | 2021-05-26 | 2024-04-02 | 舒城县乐启儿童用品有限公司 | Child bed with monitoring function and working method thereof |
| CN113497921A (en) * | 2021-07-07 | 2021-10-12 | 合肥英睿系统技术有限公司 | Monitoring method and intelligent monitoring system |
| CN115956881B (en) * | 2022-12-22 | 2024-02-20 | 湘南学院 | Old care risk assessment system based on big data |
| CN115956881A (en) * | 2022-12-22 | 2023-04-14 | 湘南学院 | Old nursing risk assessment system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101977302B (en) | System and method for monitoring of sleep security | |
| CN101937605B (en) | Sleep monitoring system based on face detection | |
| CN101937606B (en) | Sleep monitoring system and method for quilt kicking alarm | |
| CN101937604A (en) | Sleep monitoring system based on human body detection and method thereof | |
| US20230222887A1 (en) | Machine learning based monitoring system | |
| US8823527B2 (en) | Consciousness monitoring | |
| RU2667615C2 (en) | System, method and device for control of light and sound influence on human | |
| CN105096527A (en) | Monitoring and alerting method and system based on child's sleep state | |
| US20070156060A1 (en) | Real-time video based automated mobile sleep monitoring using state inference | |
| WO2015091582A1 (en) | A baby monitoring device | |
| TWI478691B (en) | Drowsy detction method and device using the same | |
| KR20030001504A (en) | Automatic system for monitoring person requiring care and his/her caretaker | |
| CN106605238B (en) | Take monitoring | |
| WO2018065284A1 (en) | Patient monitoring systems and methods | |
| AU2013296153A1 (en) | A system, method, software application and data signal for determining movement | |
| CN104091408A (en) | Infant sleeping posture intelligent identification method and device based on thermal infrared imaging | |
| CN104305966B (en) | Method and device for setting interface of monitor | |
| US10813593B2 (en) | Using visual context to timely trigger measuring physiological parameters | |
| CN107887032A (en) | A kind of data processing method and device | |
| CN109952615A (en) | Queue for patient-monitoring | |
| CN107495971A (en) | Morbidity's alarm medical system and its detection method based on skeleton identification | |
| CN109757928A (en) | A kind of shatter-resistant is intelligent baby bed | |
| CN109730659A (en) | A kind of intelligent mattress based on microwave signal monitoring | |
| CN109330612A (en) | Intelligence prison storehouse sensing device and the managing and control system of the supervision place including it | |
| WO2022036624A1 (en) | Monitoring method and apparatus, electronic device, and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20110105 |