CN106725322B - Method and device for determining sleep critical zone - Google Patents
Method and device for determining sleep critical zone Download PDFInfo
- Publication number
- CN106725322B CN106725322B CN201611199241.9A CN201611199241A CN106725322B CN 106725322 B CN106725322 B CN 106725322B CN 201611199241 A CN201611199241 A CN 201611199241A CN 106725322 B CN106725322 B CN 106725322B
- Authority
- CN
- China
- Prior art keywords
- user
- detected
- blink frequency
- area
- sleep
- 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.)
- Active
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1103—Detecting eye twinkling
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Dentistry (AREA)
- Ophthalmology & Optometry (AREA)
- Physiology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a method and a device for determining whether a user is in a sleep critical zone, relates to the technical field of biomedicine, and can determine whether the user is in the sleep critical zone by adopting a non-contact detection mode. The method comprises the following steps: respectively acquiring blink frequency ranges of a user to be detected in a waking area and a sleeping area; determining the blink frequency range between the blink frequency ranges of the waking zone and the sleeping zone as the blink frequency range of the user to be detected in the sleep critical zone; detecting whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area; and if so, determining that the user to be detected is currently in the sleep critical zone. The invention is suitable for detecting the sleep critical zone.
Description
Technical Field
The invention relates to the technical field of biomedicine, in particular to a method and a device for determining that a person is in a sleep critical zone.
Background
The human body can enter a sleep state under the action of the biological clock of the human body, the influence of factors such as external environment, fatigue and the like, and a period of waking time before the human body enters the sleep state can be called as a sleep critical zone. The sleep critical section time is different for each person, even if the same person is in different time and state, the sleep critical section time is different.
At present, the heartbeat, the respiration and the blood pressure of a user can be detected to determine whether the user enters a sleep critical zone. However, the detection method adopts a contact detection method, that is, an instrument needs to be connected to a body part of a user, and then non-contact detection cannot be realized, so that inconvenience in detection of a sleep critical area is caused, and the detection method cannot be adapted to the requirements of some specific scenes, such as detection of the sleep critical area by a driver during driving.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for determining whether a user is in a sleep critical section, and a main object of the present invention is to determine whether the user is in the sleep critical section by using a non-contact detection method.
According to an aspect of the present invention, there is provided a method of determining being in a sleep critical section, the method comprising:
respectively acquiring blink frequency ranges of a user to be detected in a waking area and a sleeping area;
determining the blink frequency range between the blink frequency ranges of the waking zone and the sleeping zone as the blink frequency range of the user to be detected in the sleep critical zone;
detecting whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area;
and if so, determining that the user to be detected is currently in the sleep critical zone.
Specifically, the respectively acquiring blink frequency ranges of the user to be detected in the awake area and the sleep area comprises:
respectively determining the average blink frequency ranges of the sample user in the awake area and the sleep area according to the average blink data of the sample user in the awake area and the sleep area, and taking the average blink frequency ranges as the blink frequency ranges of the to-be-detected user in the awake area and the sleep area; or
And detecting and calculating the blink frequency of the user to be detected in a preset time period to respectively obtain the average blink frequency range of the user to be detected in the awake area and the sleep area, and taking the average blink frequency range as the blink frequency range of the user to be detected in the awake area and the sleep area.
Specifically, the determining, according to the average blink data of the sample user in the awake area and the sleep area, the average blink frequency ranges of the sample user in the awake area and the sleep area respectively comprises:
acquiring blink data of a sample user in a waking area and a sleeping area respectively, wherein the blink data comprises the time of blinking once and the interval time of blinking twice of eyes;
and determining the average blink frequency range of the sample user in the awake area and the sleep area respectively according to the blink data.
Specifically, the detecting and calculating the blink frequency of the user to be detected within the preset time period to obtain the average blink frequency ranges of the user to be detected in the awake area and the sleep area respectively includes:
detecting a plurality of blink frequency ranges of the user to be detected, which are collected in a preset time period, according to the determined average blink frequency ranges of the sample user in the awake area and the sleep area, so as to respectively obtain a plurality of blink frequency ranges in the awake area and the sleep area;
and respectively carrying out average value calculation on a plurality of blink frequency ranges in the wake area and the sleep area to obtain the average blink frequency ranges of the user to be detected in the wake area and the sleep area.
Specifically, determining the blink frequency range between the blink frequency ranges of the awake area and the sleep area as the blink frequency range of the user to be detected in the sleep critical area includes:
determining the minimum value of the blink frequency range of the user to be detected in the waking zone as the maximum value of the blink frequency range of the user to be detected in the sleep critical zone;
and determining the maximum value of the blink frequency range of the user to be detected in the sleep area as the minimum value of the blink frequency range of the user to be detected in the sleep critical area.
Further, before determining that the user to be detected is currently in the sleep critical zone, the method further includes:
continuously acquiring blink frequency ranges of a preset number of users to be detected for further detection;
the determining that the user to be detected is currently in the sleep critical zone comprises:
and if the blink frequency ranges of the preset number of the users to be detected are all within the blink frequency range of the users to be detected in the sleep critical zone, determining that the users to be detected are currently in the sleep critical zone.
Further, before determining that the user to be detected is currently in the sleep critical zone, the method further includes:
acquiring the current blinking time and the interval time of two blinks of the user to be detected for further detection;
the determining that the user to be detected is currently in the sleep critical zone comprises:
and if the blink time is detected to be smaller than the preset awake blink time and the interval time of the two blinks is out of the preset awake blink interval range, determining that the user to be detected is currently in the sleep critical zone.
Further, after determining that the user to be detected is currently in the sleep critical zone, the method further includes:
and outputting alarm information, wherein the alarm information is used for prompting that the user to be detected is currently in a sleep critical zone.
Further, after the alarm information is output, the method further includes:
detecting a plurality of blink frequency ranges of the user to be detected in the next preset time period;
and if the plurality of blink frequency ranges in the preset time period are detected to be within the blink frequency range of the user to be detected in the awake area, stopping outputting the alarm information.
According to another aspect of the present invention, there is provided an apparatus for determining that it is in a sleep critical section, the apparatus comprising:
the acquiring unit is used for respectively acquiring the blink frequency ranges of the user to be detected in the waking zone and the sleeping zone;
the determining unit is used for determining the blink frequency range between the blink frequency ranges of the awake area and the sleep area as the average blink frequency range of the user to be detected in the sleep critical area;
the detection unit is used for detecting whether the current blink frequency range of the user to be detected is within the blink frequency range;
the determining unit is further configured to determine that the user to be detected is currently in the sleep critical zone if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone.
Specifically, the acquiring unit is specifically configured to determine average blink frequency ranges of the sample user in the awake area and the sleep area according to average blink data of the sample user in the awake area and the sleep area, and use the average blink frequency ranges as blink frequency ranges of the to-be-detected user in the awake area and the sleep area; or
And detecting and calculating the blink frequency of the user to be detected in a preset time period to respectively obtain the average blink frequency range of the user to be detected in the awake area and the sleep area, and taking the average blink frequency range as the blink frequency range of the user to be detected in the awake area and the sleep area.
Specifically, the acquisition unit includes:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for respectively acquiring blink data of a sample user in a waking area and a sleeping area, and the blink data comprises the time of blinking once and the time interval of blinking twice of an eye;
and the determining module is used for respectively determining the average blink frequency ranges of the sample user in the waking zone and the sleeping zone according to the blink data.
Specifically, the acquisition unit includes:
the acquiring module is used for detecting a plurality of blink frequency ranges of the user to be detected, which are acquired within a preset time period, according to the determined average blink frequency ranges of the sample user in the awake area and the sleep area, so as to respectively acquire the blink frequency ranges within the average blink frequency ranges of the awake area and the sleep area;
and the determining module is used for respectively carrying out average value calculation on a plurality of blink frequency ranges in the waking area and the sleeping area to obtain the average blink frequency ranges of the user to be detected in the waking area and the sleeping area.
Specifically, the determining unit is specifically configured to determine a minimum value of a blink frequency range of the user to be detected in a waking zone as a maximum value of the blink frequency range of the user to be detected in a critical sleep zone;
and determining the maximum value of the blink frequency range of the user to be detected in the sleep area as the minimum value of the blink frequency range of the user to be detected in the sleep critical area.
Further, the detection unit is further configured to continuously acquire a preset number of blink frequency ranges of the user to be detected for further detection if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area;
the determining unit is specifically configured to determine that the user to be detected is currently in the sleep critical zone if the blink frequency ranges of the preset number of users to be detected are all within the blink frequency range of the user to be detected in the sleep critical zone.
Further, the detection unit is further configured to, if it is detected that the current blink frequency range of the user to be detected is within the average blink frequency range, obtain the current blink time and the interval time between two blinks of the user to be detected for further detection;
the determining unit is specifically configured to determine that the user to be detected is currently in a sleep critical zone if it is detected that the blink time is less than a preset blink time while waking, and the interval time between two blinks is outside a preset blink interval range while waking.
Further, the apparatus further comprises:
and the output unit is used for outputting alarm information after the user to be detected is determined to be currently in the sleep critical zone, wherein the alarm information is used for prompting that the user to be detected is currently in the sleep critical zone.
Further, the detection unit is further configured to detect a plurality of blink frequency ranges of the user to be detected in a next preset time period after the warning information is output;
the output unit is further configured to stop outputting the warning information if it is detected that the plurality of blink frequency ranges within the preset time period are all within the blink frequency range of the to-be-detected user in the awake area.
By means of the technical scheme, compared with the mode that instrument connection is required to be carried out on the body part of a user at present, heartbeat, breath and blood pressure of the user are collected to be analyzed and whether the user enters the sleep critical area or not is detected, after the blink frequency range of the user to be detected in the sleep critical area is determined, the current blink frequency range of the user to be detected is obtained to be detected, when the blink frequency range is determined to be in the blink frequency range of the previously determined sleep critical area, the user is determined to be in the sleep critical area at present, the user can be judged whether the user enters the sleep critical area or not only by detecting the blink frequency of the user in the whole detection process, instrument connection is not required to be carried out on the body part of the user, non-contact detection can be achieved, and the method and the device can be suitable for requirements of certain specific scenes, and further, the detection of the sleep critical zone of the user is convenient.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flowchart illustrating a method for determining that a sleep critical section is provided in an embodiment of the present invention;
FIG. 2 is a flowchart illustrating another method for determining that a sleep critical section is provided in an embodiment of the present invention;
FIG. 3 is a schematic structural diagram illustrating an apparatus for determining that a sleep critical section is provided in an embodiment of the present invention;
fig. 4 is a schematic structural diagram illustrating another apparatus for determining that a sleep critical section is provided in an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the invention provides a method for determining whether a user is in a sleep critical zone, which can determine whether the user is in the sleep critical zone by adopting a non-contact detection mode, and as shown in fig. 1, the method comprises the following steps:
101. and acquiring the blink frequency ranges of the user to be detected in the waking area and the sleeping area respectively.
Wherein, the blink frequency range can be the range of the number of blinks per minute of the user.
In the embodiment of the invention, the electromagnetic wave of the body movement detection chip can be adopted to identify the blink action of the user to be detected, so as to identify the blink frequency range of the user to be detected. Specifically, a body movement detection chip can be used for detecting a voltage variation oscillogram output by eyes of a user to be detected, sampling is carried out on the voltage variation oscillogram according to a time sequence, the voltage variation oscillogram is converted into discrete voltage values, voltage values of a preset number are obtained according to the time sequence to form a sampling array, the preset number is obtained according to normal blinking motion training, and then the sum of distances between a first voltage value in the sampling array and other voltage values in the sampling array is calculated; finally, determining whether the sampling array is data of eye blinking or not according to the magnitude relation between the distance sum in the sampling array and the average distance sum of all sampling arrays in front of the sampling array and the magnitude relation between a first voltage value and a second voltage value, wherein the second voltage value is a voltage value in the middle position in the sampling array; and if the sampling array is determined to be the data of eye blinking, determining that the eye blinking is one time, and further identifying the blinking frequency range of the user to be detected according to the identified eye blinking.
The execution subject of the embodiment of the invention can be a device for detecting whether the user is in the sleep critical zone according to the collected blink frequency data of the user. For example, acquiring blink frequency ranges of a plurality of sample users respectively in a waking zone in advance, calculating an average value of the blink frequency ranges to obtain a blink frequency range of a human body in the waking zone under a normal condition, and taking the blink frequency range as a blink frequency range of a user to be detected in the waking zone; similarly, the blink frequency ranges of a plurality of sample users in the sleep area are collected in advance, the average value of the blink frequency ranges is calculated to obtain the blink frequency range of the human body in the sleep area under normal conditions, and the blink frequency range is used as the blink frequency range of the user to be detected in the sleep area.
102. And determining the blink frequency range between the blink frequency ranges of the waking zone and the sleeping zone as the blink frequency range of the user to be detected in the sleep critical zone.
For example, if the blink frequency range when the user to be detected is in the awake zone is (a, b) and the blink frequency range when the user to be detected is in the sleep zone is (c, d), then (d, a) is determined as the average blink frequency range when the user to be detected is in the sleep critical zone.
103. And detecting whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area.
For example, determining that the blink frequency range of the user to be detected in the sleep critical area is (0.1, 12), that is, the minimum blink frequency per minute is 0.1, and the maximum blink frequency per minute is 12, and when the current blink frequency range of the user to be detected is (3, 9), determining that the blink frequency range is in the blink frequency range of the user to be detected in the sleep critical area; and when the current blink frequency range of the user to be detected is (13, 16), determining that the blink frequency range is out of the blink frequency range of the user to be detected in the sleep critical area.
104. And if the current blink frequency range of the user to be detected is detected to be within the blink frequency range of the user to be detected in the sleep critical zone, determining that the user to be detected is in the sleep critical zone.
If the current blink frequency range of the user to be detected is detected to be out of the blink frequency range of the user to be detected in the sleep critical area, whether the current blink frequency range of the user to be detected is in the blink frequency range of the user in the sleep area or not is detected, if yes, the user is determined to be in the sleep area, and under some specific scenes, such as automobile driving, child or old person nursing and the like, corresponding prompt information can be output to wake up the user.
Compared with the mode that the body part of a user needs to be connected with an instrument at present, heartbeat, breath and blood pressure of the user are collected to be analyzed and whether the user enters the sleep critical zone or not is detected, after the embodiment of the invention determines that the user to be detected is in the blink frequency range of the sleep critical zone, the embodiment of the invention can identify the blink action of the user to be detected by adopting the electromagnetic wave of the body movement detection chip, further identify the current blink frequency range of the user to be detected, detect the identified current blink frequency range of the user to be detected, determine that the user is currently in the sleep critical zone when determining that the blink frequency range is in the previously determined average blink frequency range, and judge whether the user enters the sleep critical zone or not only by detecting the blink frequency of the user in the whole detection process, instrument connection is not needed to be carried out on the body part of the user, non-contact detection can be achieved, the method and the device can be suitable for the requirements of some specific scenes, and therefore detection of sleep critical areas of the user is convenient to carry out.
For better understanding of the method shown in fig. 1, as a refinement and extension of the foregoing embodiment, another method for determining that the sleep critical section is located is provided in an embodiment of the present invention, as shown in fig. 2, where the method includes:
201. and acquiring the blink frequency ranges of the user to be detected in the waking area and the sleeping area respectively.
In the embodiment of the present invention, as to the blink frequency range of the user to be detected in the awake area and the sleep area, one determination manner may be determined according to the average blink data of the sample user, that is, step 201 may specifically include: and respectively determining the average blink frequency ranges of the sample user in the awake area and the sleep area according to the average blink data of the sample user in the awake area and the sleep area, and taking the average blink frequency ranges as the blink frequency ranges of the user to be detected in the awake area and the sleep area.
Specifically, acquiring blink data of a sample user in a waking zone and a sleeping zone respectively, wherein the blink data comprises the time of blinking once and the interval time of blinking twice of eyes; from the blink data, average blink frequency ranges for the sample user in the awake zone and the sleep zone, respectively, are determined.
For example, acquiring blink data of a plurality of sample users in a wake zone, respectively calculating blink frequency ranges of the sample users in the wake zone according to the blink data, then calculating an average value of the blink frequency ranges to obtain an average blink frequency range of the sample users in the wake zone, and taking the average blink frequency range as a blink frequency range of a user to be detected in the wake zone; and similarly, acquiring blink data of a plurality of sample users in the sleep area, finally calculating the average blink frequency range of the sample users in the sleep area according to the blink data, and taking the average blink frequency range as the blink frequency range of the user to be detected in the sleep area.
For the blink frequency range of the user to be detected in the awake area and the sleep area, another determination manner may be determined according to blink data adapted to the actual situation of the user to be detected, that is, step 201 may specifically include: and detecting and calculating the blink frequency of the user to be detected in a preset time period to respectively obtain the average blink frequency range of the user to be detected in the awake area and the sleep area, and taking the average blink frequency range as the blink frequency range of the user to be detected in the awake area and the sleep area. The preset time period can be configured according to actual requirements.
Due to the fact that individual differences of users exist, the blink frequency range of each user to be detected in the waking area is different from that of each user to be detected in the sleeping area, therefore, for the user to be detected, the detection system needs a certain time to read eye blink data of the user to be detected so as to adjust parameters, and the blink frequency range suitable for the user to be detected in the waking area and the sleeping area is obtained.
Specifically, according to the determined average blink frequency ranges of the sample users in the awake area and the sleep area, detecting a plurality of blink frequency ranges of the users to be detected, which are collected in a preset time period, so as to respectively obtain the blink frequency ranges in the awake area and the sleep area; and respectively carrying out average value calculation on a plurality of blink frequency ranges in the wake area and the sleep area to obtain the average blink frequency ranges of the user to be detected in the wake area and the sleep area.
For example, firstly, the average blink frequency range of the user to be detected in the awake zone needs to be determined, and for this reason, when the blink frequency range of the user to be detected is detected to be within the average blink frequency range of the sample user in the awake zone, the blink frequency range of the user to be detected can be continuously acquired within the following 3 minutes, a plurality of blink frequency ranges within the average blink frequency range of the awake zone are obtained from the blink frequency ranges, average calculation is performed on the blink frequency ranges, the average blink frequency range of the user to be detected in the awake zone is obtained, and the average blink frequency range is suitable for the actual situation of the user to be detected in the awake zone; similarly, when the blink frequency range of the user to be detected is detected to be within the average blink frequency range of the sample user in the sleep area, the user to be detected is indicated to be in the sleep state at the moment, the blink frequency range of the user to be detected can be continuously collected within the next half hour, a plurality of blink frequency ranges within the average blink frequency range of the sleep area are obtained from the blink frequency ranges, average calculation is carried out on the blink frequency ranges, the average blink frequency range of the user to be detected in the sleep area is obtained, and the average blink frequency range is suitable for the actual situation of the user to be detected in the sleep state.
202. And determining the blink frequency range between the blink frequency ranges of the waking zone and the sleeping zone as the blink frequency range of the user to be detected in the sleep critical zone.
Step 202 may specifically include: determining the minimum value of the blink frequency range of the user to be detected in the waking zone as the maximum value of the blink frequency range of the user to be detected in the sleep critical zone; and determining the maximum value of the blink frequency range of the user to be detected in the sleep area as the minimum value of the blink frequency range of the user to be detected in the sleep critical area.
For example, the blink frequency range of the user to be detected in the awake region is (11, 19), the blink frequency range of the user to be detected in the sleep region is (0, 0.2), and according to the two blink frequency ranges, the average blink frequency range of the user to be detected in the sleep critical region is (0.2, 11), that is, the minimum blink frequency per minute is 0.2 times, and the maximum blink frequency per minute is 11 times.
203. And detecting whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area.
For example, determining that the blink frequency range of the user to be detected in the sleep critical zone is (0.2, 11), and when the current blink frequency range of the user to be detected is (4, 10), determining that the blink frequency range is in the blink frequency range of the sleep critical zone; when the current blink frequency range of the user to be detected is (14, 19), determining that the blink frequency range is out of the blink frequency range of the sleep critical zone; when the current blink frequency range of the user to be detected is (9, 12), the user to be detected is possibly entering the sleep critical state but not completely entering the sleep critical state, and the blink frequency range of the user is continuously collected for detection in the next period of time until the collected blink frequency range is within the blink frequency range of the sleep critical area.
204. And if the current blink frequency range of the user to be detected is detected to be within the blink frequency range of the user to be detected in the sleep critical area, continuously collecting the blink frequency ranges of the preset number of users to be detected for further detection.
The preset number may be set according to an actual situation of the user, for example, the preset number may be 3, 5, or the like.
205. And if the blink frequency ranges of the preset number of the users to be detected are all within the blink frequency range of the users to be detected in the sleep critical zone, determining that the users to be detected are currently in the sleep critical zone.
For example, when the current blink frequency range of the user to be detected is detected to be within the blink frequency range of the user to be detected in the sleep critical zone, three blink frequency ranges of the user are continuously collected, and if the three blink frequency ranges are all within the blink frequency range of the user to be detected in the sleep critical zone, the user is determined to be currently in the sleep critical zone.
Through the multiple inspection mode, the detection accuracy of the sleep critical zone can be improved, and it should be noted that, in addition to the multiple inspection mode of the steps 204 and 205, in order to inspect the detection accuracy of the sleep critical zone, when the current blink frequency range of the user to be detected is detected to be within the blink frequency range of the user to be detected in the sleep critical zone, the current blink time and the interval time of two blinks of the user to be detected can be acquired for further detection; and if the blink time is detected to be smaller than the preset blink time while waking, and the interval time of the two blinks is out of the preset blink interval range while waking, determining that the user to be detected is currently in the sleep critical zone. The preset waking blink time and the preset waking blink interval range can be obtained by calculating an average value according to the blink time of a plurality of sample users in the waking state and the interval time of two blinks.
The phenomenon that the time of blinking eyes is too long when a human body is tired and sleepy, and the phenomenon that the time interval of blinking eyes is shortened at the same time can be caused. For example, the preset waking blink time is 1.5 seconds, the preset waking blink interval range is a range between 3 seconds and 5 seconds, and when the current blink time of the user to be detected is 1 second and the interval time between two blinks of the user to be detected is 6 seconds, it indicates that the user is currently in a non-waking state.
206. And outputting alarm information.
The alarm information is used for prompting that the user to be detected is currently in the sleep critical zone. The alarm information may be text alarm information, picture alarm information, audio alarm information, video alarm information, etc. For example, in the scene of automobile driving, a driver is detected in real time, whether the driver is in a sleep critical zone or not is detected by collecting the blink frequency range of the driver, and when the driver is judged to be in the sleep critical zone at a certain moment through the blink frequency range of the driver, in order to ensure the safety of automobile driving, audio alarm information can be output through a sound device in the automobile, so that the driver can be awakened to pay attention to driving in time, and the safety of automobile driving is ensured.
207. And detecting a plurality of blink frequency ranges of the user to be detected in the next preset time period.
The preset time period may be set according to actual requirements, for example, after the warning information is output, when the collected blink frequency range is within the blink frequency range of the awake area of the user, a plurality of blink frequency ranges are continuously collected in the next 3 minutes.
208. And if detecting that the plurality of blink frequency ranges in the preset time period are all within the blink frequency range of the user to be detected in the awake area, stopping outputting the alarm information.
If a plurality of blink frequency ranges in the preset time period are detected to be within the blink frequency range of the user to be detected in the awake area, the user to be detected is indicated to be restored to the awake state at the moment, and the alarm information can be stopped being output.
Compared with the mode that instrument connection is required to be carried out on the body part of a user at present, heartbeat, breath and blood pressure of the user are collected to be analyzed and whether the user enters the sleep critical zone or not is detected, the method for determining the sleep critical zone can judge whether the user enters the sleep critical zone or not only by detecting the blink frequency of the user without instrument connection on the body part of the user, non-contact detection can be achieved, and then the sleep critical zone of the user can be conveniently detected; and video image analysis is not needed, so that the detection cost of the sleep critical area can be reduced.
Further, as a specific implementation of the method shown in fig. 1, an embodiment of the present invention provides an apparatus for determining that it is in a critical sleep zone, as shown in fig. 3, the apparatus includes: an acquisition unit 31, a determination unit 32, a detection unit 33.
The acquiring unit 31 may be configured to acquire blink frequency ranges of a user to be detected in a waking zone and a sleeping zone, respectively. The obtaining unit 31 is a main function module of the device for obtaining a blink frequency range of a user to be detected, wherein the blink frequency range may be a range of blink times per minute of the user. After acquiring the blink frequency range of the user to be detected in the waking area and the sleeping area, the determining unit 32 is triggered to operate.
The determining unit 32 may be configured to determine a blink frequency range between the blink frequency ranges of the awake zone and the sleep zone as an average blink frequency range of the user to be detected in the sleep critical zone. For example, if the blink frequency range when the user to be detected is in the awake zone is (a, B) and the blink frequency range when the user to be detected is in the sleep zone is (C, D), then (D, a) is determined as the average blink frequency range when the user to be detected is in the sleep critical zone.
The detecting unit 33 may be configured to detect whether a current blink frequency range of the user to be detected is within a blink frequency range of the user to be detected in a sleep critical area. The detection unit 33 is a main functional module for performing sleep critical section detection in the device, and finally determines whether the user to be detected is currently in the sleep critical section according to a detection result.
The determining unit 32 may be further configured to determine that the user to be detected is currently in the sleep critical zone if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone. For example, the blink frequency range of the user to be detected in the sleep critical zone is determined to be (0.1, 12), and when the current blink frequency range of the user to be detected is acquired to be (4, 8), the user to be detected is determined to be currently in the sleep critical zone.
It should be noted that other corresponding descriptions of the functional units related to the apparatus for determining that the functional unit is in the sleep critical section according to the embodiment of the present invention may refer to the corresponding description in fig. 1, and are not described herein again.
The device for determining the sleep critical zone provided by the embodiment of the invention comprises the following components: compared with the mode that instrument connection is carried out on the body part of a user, the heartbeat, the breath and the blood pressure of the user are collected to analyze and detect whether the user enters a sleep critical zone at present, the embodiment of the invention determines the blink frequency range of the user to be detected in the sleep critical zone in the determining unit, obtains the current blink frequency range of the user to be detected through the obtaining unit to carry out detection, when the detection unit detects that the blink frequency range is within the blink frequency range previously determined to be within the sleep critical section, the user is determined to be currently in the sleep critical zone, whether the user enters the sleep critical zone can be judged only by detecting the blink frequency of the user in the whole detection process, instrument connection is not needed to be carried out on the body part of the user, non-contact detection can be achieved, and then the sleep critical zone of the user can be conveniently detected.
Further, as a specific implementation of the method shown in fig. 2, another apparatus for determining that the sleep critical section is located is provided in an embodiment of the present invention, as shown in fig. 4, the apparatus includes: an acquisition unit 41, a determination unit 42, and a detection unit 43.
The obtaining unit 41 may be configured to obtain blink frequency ranges of the user to be detected in the awake area and the sleep area, respectively.
The determining unit 42 may be configured to determine a blink frequency range between the blink frequency ranges of the awake zone and the sleep zone as an average blink frequency range of the user to be detected in the sleep critical zone.
The detecting unit 43 may be configured to detect whether a current blink frequency range of the user to be detected is within a blink frequency range of the user to be detected in a sleep critical area.
The determining unit 42 may be further configured to determine that the user to be detected is currently in the sleep critical zone if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone.
The obtaining unit 41 may be specifically configured to determine, according to the average blink data of the sample user in the awake area and the sleep area, average blink frequency ranges of the sample user in the awake area and the sleep area respectively, and use the average blink frequency ranges as blink frequency ranges of the to-be-detected user in the awake area and the sleep area, that is, determine blink frequency ranges of the to-be-detected user in the awake area and the sleep area according to the average blink data of the sample user; or detecting and calculating the blink frequency of the user to be detected in a preset time period to obtain the average blink frequency range of the user to be detected in the awake area and the sleep area respectively, and taking the average blink frequency range as the blink frequency range of the user to be detected in the awake area and the sleep area, namely determining the blink frequency range of the user to be detected in the awake area and the sleep area according to blink data adaptive to the actual situation of the user to be detected.
Specifically, the acquisition unit 41 includes: an obtaining module 411 and a determining module 412.
An obtaining module 411 may be configured to obtain blink data of the sample user in a awake region and a sleep region, respectively, where the blink data includes a time when the eye blinks once and an interval time between two blinks.
The determining module 412 may be configured to determine average blink frequency ranges for a sample user in a wake zone and a sleep zone, respectively, based on the blink data.
The obtaining module 411 may be further configured to detect, according to the determined average blink frequency ranges of the sample user in the awake area and the sleep area, a plurality of blink frequency ranges of the user to be detected, which are collected within a preset time period, so as to obtain a plurality of blink frequency ranges in the awake area and the sleep area, respectively.
The determining module 412 may be further configured to perform average calculation on a plurality of blink frequency ranges in the wake area and the sleep area average blink frequency range, respectively, to obtain the average blink frequency range of the user to be detected currently in the wake area and the sleep area.
For the embodiment of the invention, the obtained blink frequency range when the user to be detected is in the sleep critical zone is more consistent with the actual condition that the user to be detected is in the sleep critical zone by the blink frequency range suitable for the user to be detected to be in the waking zone and the sleep zone, and the blink frequency range when the user to be detected is in the sleep critical zone determined by the method can improve the accuracy of the detection of the sleep critical zone of the user.
The determining unit 42 may be specifically configured to determine a minimum value of the blink frequency range of the user to be detected in the awake region as a maximum value of the blink frequency range of the user to be detected in the sleep critical region; and determining the maximum value of the blink frequency range of the user to be detected in the sleep area as the minimum value of the blink frequency range of the user to be detected in the sleep critical area.
The detecting unit 43 may be further configured to continuously acquire a preset number of blink frequency ranges of the user to be detected for further detection if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area.
The determining unit 42 is specifically configured to determine that the user to be detected is currently in the sleep critical zone if the blink frequency ranges of the preset number of users to be detected are all within the blink frequency range of the user to be detected in the sleep critical zone. Through the mode of multiple times of examination, the detection accuracy of the sleep critical zone can be improved.
The detecting unit 43 may be further configured to, if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area, obtain the current blink time and the interval time between two blinks of the user to be detected for further detection.
The determining unit 42 may be specifically configured to determine that the user to be detected is currently in a sleep critical zone if it is detected that the blink time is less than a preset blink time while waking, and the interval time between two blinks is outside a blink interval range while waking. By the verification method, whether the user to be detected is in a non-waking state at present can be further detected, and if the user is detected to be in the non-waking state at present, the fact that the user is actually in a sleep critical zone at present is indicated, so that the accuracy of the detection of the sleep critical zone is ensured.
Further, in order to timely remind the user to be detected that the user is currently in the sleep critical zone, the device further includes: and an output unit 44.
The output unit 44 may be configured to output alarm information after determining that the user to be detected is currently in the sleep critical zone, where the alarm information is used to prompt that the user to be detected is currently in the sleep critical zone.
The detecting unit 43 may be further configured to detect a plurality of blink frequency ranges of the user to be detected in a next preset time period after outputting the warning information.
The output unit 44 may be further configured to stop outputting the warning message if it is detected that the plurality of blink frequency ranges within the preset time period are all within the blink frequency range of the to-be-detected user in the awake zone. For example, after the warning message is output, when the collected blink frequency range is within the blink frequency range of the user in the awake area, a plurality of blink frequency ranges are continuously collected in the next 2 minutes, and if the blink frequency ranges are all within the blink frequency range of the user to be detected in the awake area, indicating that the user to be detected has recovered to the awake state at this time, the warning message may be stopped from being output.
It should be noted that, for other corresponding descriptions of functional units related to another apparatus for determining that the apparatus is located in a sleep critical section provided in the embodiment of the present invention, reference may be made to the corresponding description in fig. 2, which is not described herein again.
Another apparatus for determining that a device is in a sleep critical section provided in an embodiment of the present invention includes: compared with the mode that instrument connection is required to be carried out on the body part of a user at present, heartbeat, breath and blood pressure of the user are collected and analyzed to detect whether the user enters a sleep critical zone, the embodiment of the invention can judge whether the user enters the sleep critical zone only by detecting the blink frequency of the user, instrument connection is not required to be carried out on the body part of the user, non-contact detection can be realized, and then the detection of the sleep critical zone of the user is convenient; and video image analysis is not needed, so that the detection cost of the sleep critical area can be reduced.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the method and apparatus described above are referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of a method and apparatus for determining the presence of critical sections of sleep according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (16)
1. A method of determining being in a critical section of sleep, comprising:
respectively acquiring blink frequency ranges of a user to be detected in a waking area and a sleeping area;
determining the blink frequency range between the blink frequency ranges of the waking zone and the sleeping zone as the blink frequency range of the user to be detected in the sleep critical zone;
detecting whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area;
if so, determining that the user to be detected is currently in a sleep critical zone;
before determining that the user to be detected is currently in the sleep critical zone, the method further comprises the following steps: acquiring the current blinking time and the interval time of two blinks of the user to be detected for further detection;
the determining that the user to be detected is currently in the sleep critical zone comprises: and if the blink time is detected to be smaller than the preset awake blink time and the interval time of the two blinks is out of the preset awake blink interval range, determining that the user to be detected is currently in the sleep critical zone.
2. The method of claim 1, wherein the obtaining the blink frequency ranges for the user to be detected to be in the awake zone and the sleep zone comprises:
respectively determining the average blink frequency ranges of the sample user in the awake area and the sleep area according to the average blink data of the sample user in the awake area and the sleep area, and taking the average blink frequency ranges as the blink frequency ranges of the to-be-detected user in the awake area and the sleep area; or
And detecting and calculating the blink frequency of the user to be detected in a preset time period to respectively obtain the average blink frequency range of the user to be detected in the awake area and the sleep area, and taking the average blink frequency range as the blink frequency range of the user to be detected in the awake area and the sleep area.
3. The method of claim 2, wherein determining the average blink frequency ranges for the sample user in the awake zone and the sleep zone from the average blink data for the sample user in the awake zone and the sleep zone, respectively, comprises:
acquiring blink data of a sample user in a waking area and a sleeping area respectively, wherein the blink data of the user in the waking area and the sleeping area comprise the time of blinking once and the interval time of blinking twice;
and determining the average blink frequency range of the sample user in the waking area and the sleeping area respectively according to the blink data of the user in the waking area and the sleeping area.
4. The method of claim 2, wherein the detecting and calculating the blink frequency of the user to be detected within a preset time period to obtain average blink frequency ranges of the user to be detected in a wake area and a sleep area respectively comprises:
detecting a plurality of blink frequency ranges of the user to be detected, which are collected in a preset time period, according to the determined average blink frequency ranges of the sample user in the awake area and the sleep area, so as to respectively obtain a plurality of blink frequency ranges in the awake area and the sleep area;
and respectively carrying out average value calculation on a plurality of blink frequency ranges in the wake area and the sleep area to obtain the average blink frequency ranges of the user to be detected in the wake area and the sleep area.
5. The method according to any of claims 1-4, wherein determining a blink frequency range between the blink frequency ranges for the awake zone and the sleep zone as the blink frequency range for which the user to be detected is in the critical zone of sleep comprises:
determining the minimum value of the blink frequency range of the user to be detected in the waking zone as the maximum value of the blink frequency range of the user to be detected in the sleep critical zone;
and determining the maximum value of the blink frequency range of the user to be detected in the sleep area as the minimum value of the blink frequency range of the user to be detected in the sleep critical area.
6. The method of claim 5, wherein before determining that the user to be detected is currently within the critical zone of sleep, the method further comprises:
continuously acquiring blink frequency ranges of a preset number of users to be detected for further detection;
the determining that the user to be detected is currently in the sleep critical zone comprises:
and if the blink frequency ranges of the preset number of the users to be detected are all within the blink frequency range of the users to be detected in the sleep critical zone, determining that the users to be detected are currently in the sleep critical zone.
7. The method according to claim 1 or 6, wherein after determining that the user to be detected is currently within the critical zone of sleep, the method further comprises:
and outputting alarm information, wherein the alarm information is used for prompting that the user to be detected is currently in a sleep critical zone.
8. The method of claim 7, wherein after outputting the alert message, the method further comprises:
detecting a plurality of blink frequency ranges of the user to be detected in the next preset time period;
and if the plurality of blink frequency ranges in the preset time period are detected to be within the blink frequency range of the user to be detected in the awake area, stopping outputting the alarm information.
9. An apparatus for determining being in a critical section of sleep, comprising:
the acquiring unit is used for respectively acquiring the blink frequency ranges of the user to be detected in the waking zone and the sleeping zone;
the determining unit is used for determining a blink frequency range between the blink frequency ranges of the awake area and the sleep area as the blink frequency range of the user to be detected in the sleep critical area;
the detection unit is used for detecting whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area;
the determining unit is further configured to determine that the user to be detected is currently in the sleep critical zone if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone;
the detection unit is also used for acquiring the current blink time and the interval time of two blinks of the user to be detected for further detection if the current blink frequency range of the user to be detected is detected to be within the average blink frequency range;
the determining unit is specifically configured to determine that the user to be detected is currently in a sleep critical zone if it is detected that the blink time is less than a preset blink time while waking, and the interval time between two blinks is outside a preset blink interval range while waking.
10. The apparatus of claim 9,
the acquiring unit is specifically configured to determine average blink frequency ranges of the sample user in the awake area and the sleep area according to the average blink data of the sample user in the awake area and the sleep area, and use the average blink frequency ranges as the blink frequency ranges of the to-be-detected user in the awake area and the sleep area; or
And detecting and calculating the blink frequency of the user to be detected in a preset time period to respectively obtain the average blink frequency range of the user to be detected in the awake area and the sleep area, and taking the average blink frequency range as the blink frequency range of the user to be detected in the awake area and the sleep area.
11. The apparatus of claim 10, wherein the obtaining unit comprises:
the acquiring module is used for respectively acquiring blink data of a sample user in a waking area and a sleeping area, wherein the blink data of the user in the waking area and the sleeping area comprises the time of blinking once and the interval time of blinking twice;
and the determining module is used for respectively determining the average blink frequency ranges of the sample user in the waking zone and the sleeping zone according to the blink data of the user in the waking zone and the sleeping zone.
12. The apparatus of claim 10, wherein the obtaining unit comprises:
the acquiring module is used for detecting a plurality of blink frequency ranges of the user to be detected, which are acquired within a preset time period, according to the determined average blink frequency ranges of the sample user in the awake area and the sleep area, so as to respectively acquire the blink frequency ranges within the average blink frequency ranges of the awake area and the sleep area;
and the determining module is used for respectively carrying out average value calculation on a plurality of blink frequency ranges in the waking area and the sleeping area to obtain the average blink frequency ranges of the user to be detected in the waking area and the sleeping area.
13. The apparatus according to any one of claims 9-12,
the determining unit is specifically configured to determine the minimum value of the blink frequency range of the user to be detected in the awake region as the maximum value of the blink frequency range of the user to be detected in the sleep critical region;
and determining the maximum value of the blink frequency range of the user to be detected in the sleep area as the minimum value of the blink frequency range of the user to be detected in the sleep critical area.
14. The apparatus of claim 13,
the detection unit is further used for continuously collecting the blink frequency ranges of the users to be detected in the preset number for further detection if the current blink frequency range of the users to be detected is detected to be within the blink frequency range of the users to be detected in the sleep critical area;
the determining unit is specifically configured to determine that the user to be detected is currently in the sleep critical zone if the blink frequency ranges of the preset number of users to be detected are all within the blink frequency range of the user to be detected in the sleep critical zone.
15. The apparatus of claim 9 or 14, further comprising:
and the output unit is used for outputting alarm information after the user to be detected is determined to be currently in the sleep critical zone, wherein the alarm information is used for prompting that the user to be detected is currently in the sleep critical zone.
16. The apparatus of claim 15,
the detection unit is further used for detecting a plurality of blink frequency ranges of the user to be detected in the next preset time period after the alarm information is output;
the output unit is further configured to stop outputting the warning information if it is detected that the plurality of blink frequency ranges within the preset time period are all within the blink frequency range of the to-be-detected user in the awake area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611199241.9A CN106725322B (en) | 2016-12-22 | 2016-12-22 | Method and device for determining sleep critical zone |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611199241.9A CN106725322B (en) | 2016-12-22 | 2016-12-22 | Method and device for determining sleep critical zone |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106725322A CN106725322A (en) | 2017-05-31 |
| CN106725322B true CN106725322B (en) | 2020-10-30 |
Family
ID=58897547
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611199241.9A Active CN106725322B (en) | 2016-12-22 | 2016-12-22 | Method and device for determining sleep critical zone |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106725322B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112971721B (en) * | 2021-02-07 | 2024-03-08 | 北京海思瑞格科技有限公司 | Device for detecting falling asleep point |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1291320A (en) * | 1998-01-15 | 2001-04-11 | 卡鲁斯·马格努斯有限公司 | Method and device for detecting drowsiness and proventing a driver of motor vehicle from falling asleep |
| JP2013255734A (en) * | 2012-06-14 | 2013-12-26 | Parama Tec:Kk | Doze warning device |
| CN103886288A (en) * | 2014-03-13 | 2014-06-25 | 惠州Tcl移动通信有限公司 | Sleepy state detecting method and system |
| CN103974656A (en) * | 2011-09-05 | 2014-08-06 | 富山县 | Dozing-off detection method and device |
| TW201524389A (en) * | 2013-12-20 | 2015-07-01 | Univ Chienkuo Technology | Sleeping prevention warning helmet and power limiting system |
| CN104992530A (en) * | 2015-08-13 | 2015-10-21 | 张鹤霖 | Head-wearing type half-awakening state reminding device |
| CN105006106A (en) * | 2015-08-13 | 2015-10-28 | 张鹤霖 | Human body non-waking state reminding method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106175754B (en) * | 2016-09-21 | 2019-04-09 | 广州视源电子科技股份有限公司 | Waking state detection device in sleep state analysis |
-
2016
- 2016-12-22 CN CN201611199241.9A patent/CN106725322B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1291320A (en) * | 1998-01-15 | 2001-04-11 | 卡鲁斯·马格努斯有限公司 | Method and device for detecting drowsiness and proventing a driver of motor vehicle from falling asleep |
| CN103974656A (en) * | 2011-09-05 | 2014-08-06 | 富山县 | Dozing-off detection method and device |
| JP2013255734A (en) * | 2012-06-14 | 2013-12-26 | Parama Tec:Kk | Doze warning device |
| TW201524389A (en) * | 2013-12-20 | 2015-07-01 | Univ Chienkuo Technology | Sleeping prevention warning helmet and power limiting system |
| CN103886288A (en) * | 2014-03-13 | 2014-06-25 | 惠州Tcl移动通信有限公司 | Sleepy state detecting method and system |
| CN104992530A (en) * | 2015-08-13 | 2015-10-21 | 张鹤霖 | Head-wearing type half-awakening state reminding device |
| CN105006106A (en) * | 2015-08-13 | 2015-10-28 | 张鹤霖 | Human body non-waking state reminding method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106725322A (en) | 2017-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10706717B2 (en) | Electronic device and control method thereof | |
| Murugan et al. | Detection and analysis: Driver state with electrocardiogram (ECG) | |
| CN110001652B (en) | Driver state monitoring method and device and terminal equipment | |
| Aly et al. | Detecting changes in scenes: The hippocampus is critical for strength-based perception | |
| CN107028603B (en) | Apparatus and method for detecting diabetes in a human body using pulse palpation signals | |
| JP4867215B2 (en) | Physiological / psychological state determination device, physiological / psychological state determination method, reference data generation device, and reference data generation method. | |
| EP3424425A1 (en) | Determination result output device, determination result provision device, and determination result output system | |
| JP2007229218A (en) | Apparatus, system, and method for vigilance estimation | |
| US20180206749A1 (en) | Apparatus and method for determining a health parameter of a subject | |
| EP3363353B1 (en) | Driver state determination device and driver state determination method | |
| WO2016193030A1 (en) | Sleep monitoring method and system | |
| JP2007000280A (en) | Arousal lowering determination device | |
| KR20130039150A (en) | System and method for preventing driver sleeping | |
| CN105496381A (en) | Intelligent wear device-based infant nursing method and intelligent wear device | |
| JP2011167398A (en) | Biological state determining apparatus | |
| CN106725322B (en) | Method and device for determining sleep critical zone | |
| JP2018524712A5 (en) | ||
| CN107007292B (en) | Method for learning fatigue | |
| CN106361327B (en) | Waking state detection method and system in sleep state analysis | |
| CN106344008B (en) | Waking state detection method and system in sleep state analysis | |
| US20180014729A1 (en) | System and Method for Detection of Cravings in Individuals with Addiction | |
| KR101507657B1 (en) | Apparatus and method for detecting sensibility information based brain wave | |
| CN108451496B (en) | Method and system for detecting information of brain-heart connectivity | |
| Thomas et al. | Wireless sensor embedded steering wheel for real time monitoring of driver fatigue detection | |
| Biradar | Hardware implementation of driver fatigue detection system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |