CN112294289A - Face recognition sudden death prevention method for gymnasium - Google Patents
Face recognition sudden death prevention method for gymnasium Download PDFInfo
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- CN112294289A CN112294289A CN201910712173.9A CN201910712173A CN112294289A CN 112294289 A CN112294289 A CN 112294289A CN 201910712173 A CN201910712173 A CN 201910712173A CN 112294289 A CN112294289 A CN 112294289A
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- sporter
- face
- monitoring center
- safety threshold
- color change
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/1032—Determining colour for diagnostic purposes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
Abstract
The invention discloses a face identification sudden death prevention method for a gymnasium, which comprises the steps of detecting face color change information of a sporter in real time through a face detection device on a fitness apparatus, detecting the face color change information of the sporter according to the face detection device, transmitting the face color change information detected by the face detection device to a monitoring center through a communication module, comparing the monitoring center with preset safety threshold data, judging whether the sporter has a sudden death precursor or not, prompting recorded information in a display module and the monitoring center, giving early warning in time and preventing accidents.
Description
Technical Field
The invention relates to the field of health diagnosis and medical monitoring, in particular to a face recognition sudden death prevention method for a gymnasium.
Background
After people eat rich clothes, the craving for health is more and more intense, the health becomes a basic target of people in the new century, and the craving for health becomes the fashion of all people. However, most people living in cities have a habit that many young people cannot guard against the sudden death in the exercise process along with modern fast-paced life, more and more people are tired of bodies, the existing environment is not suitable for people to exercise bodies, so most people select the gym, the existing gym does not pay attention to the body health data of the people moving in the gym, some people with poor body health have the sudden death condition in the exercise process, and the prior art does not have an early warning method for preventing the sudden death of the sporters in the exercise process aiming at the gym.
Disclosure of Invention
The invention aims to provide a face recognition sudden death prevention method for a gymnasium, which solves the problem that sudden death of a sporter cannot be monitored and early warned.
In order to solve the technical problems, the invention adopts the following technical scheme: a face identification sudden death prevention method for a gymnasium comprises the following steps:
the method comprises the following steps: detecting the color change information of the face of the sporter through a face detection device on the fitness equipment;
step two: and the face color change information detected by the face detection device is transmitted to a monitoring center through a communication module, and the monitoring center compares the preset safety threshold data and judges whether the sporter has a sudden death precursor or not.
The further technical scheme is that the preset safety threshold is stored in a monitoring center, the monitoring center is loaded with an initial safety threshold through big data, and the initial safety threshold is updated into a differential safety threshold according to the movement condition of a sporter.
The further technical scheme is that the method for updating the differentiated safety threshold value according to the exercise condition of the exerciser comprises the following steps: the face detection device monitors according to an initial safety threshold value, alarms when the face color change information data of the sporter exceeds the initial safety threshold value, and finally sends a signal to the monitoring center to enable the monitoring center to record the face color change information data of the sporter at present and list the face color change information data into a differential safety threshold value when the sporter is finally confirmed to be in a normal condition.
The further technical scheme is that the method for detecting the color change information of the face of the sporter by the face detection device comprises the following steps: the face detection device monitors and collects face color information of a sporter for the first time and records the face color information as an individual initial safety threshold value; when the face detection device monitors that the face color of the sporter is changed into one of white, cyan, purple, black and red, face color change information data is generated, the generated face color change information data is transmitted to the monitoring center by the communication module of the face detection device, the face color change information received by the monitoring center exceeds a pre-stored initial safety threshold value and is listed into a personal differentiation safety threshold value, alarm information is output, and the personal differentiation safety threshold value is stored and updated by the monitoring center.
The further technical scheme is that the face detection device comprises a millimeter wave antenna, a camera, a signal processing module, a DSP processor, a display module, a storage module and a communication module; the millimeter wave antenna is used for collecting respiration heartbeat signals of a human body, the signal processing module is connected with the millimeter wave antenna and used for processing IQ modulation signals from the millimeter wave antenna, and the DSP processor is connected with the signal processing module and used for obtaining heartbeat frequency and respiration frequency according to the signals processed by the signal processing module; the camera is used for detecting face images and detecting vital sign data, personal identity information and vital sign data template information of a sporter are stored in the storage module, and the communication module is used for realizing data exchange between the device body and the monitoring center.
The DPS processor monitors the rhythm change of the breath and the heartbeat before sudden death in real time, judges the sign of the sudden death and prompts the monitored information to a display module and a monitoring center.
The further technical scheme is that the communication module is connected with the DSP processor, and information is transmitted to the monitoring center in a wireless transmission mode to realize remote checking of the condition of the sporter.
The display module and the monitoring center can display the heartbeat frequency, the breathing frequency, the physical condition and the disease condition analysis of the sporter.
The further technical proposal is that the face detection device also detects the heartbeat frequency, the pupillary dilation and the respiratory frequency of the sporter.
Compared with the prior art, the invention has the beneficial effects that: the face color change information of the sporter is detected through the face detection device on the fitness equipment, the face color change information of the sporter is detected according to the face color change information of the sporter, the face color change information detected by the face detection device is transmitted to the monitoring center through the communication module, the monitoring center compares the face color change information with preset safety threshold data, and whether the sporter has a sudden death precursor or not is judged.
Drawings
Fig. 1 is a schematic flow chart of the implementation of the face recognition sudden death prevention method for the gymnasium.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Fig. 1 shows the following embodiments:
the face color change information of the sporter is detected through a face detection device on the fitness equipment, the face color change information of the sporter is detected through the face detection device, the face color change information detected by the face detection device is transmitted to a monitoring center through a communication module, and the monitoring center compares with preset safety threshold data to judge whether the sporter has sudden death precursors or not.
The preset safety threshold is stored in the monitoring center, the monitoring center loads the initial safety threshold through big data, and the initial safety threshold is updated into the differential safety threshold according to the motion condition of the sporter.
The method for updating the differentiated safety threshold value according to the exercise condition of the exerciser comprises the following steps: the face detection device monitors according to an initial safety threshold value, alarms when the face color change information data of the sporter exceeds the initial safety threshold value, and finally sends a signal to the monitoring center to enable the monitoring center to record the face change information data of the sporter at present and list the face change information data into a differential safety threshold value when the sporter is finally confirmed to be in a normal condition.
The method for detecting the color change information of the face of the sporter by the face detection device comprises the following steps: the face detection device monitors and collects face color information of a sporter for the first time and records the face color information as an individual initial safety threshold value; when the face detection device monitors that the face color of a sporter is changed into one of white, cyan, purple, black and red, face color change information data is generated, the generated face color change information data is transmitted to a monitoring center by a communication module of the face detection device, the face color change information received by the monitoring center exceeds a pre-stored initial safety threshold value and is listed in a personal differentiation safety threshold value, alarm information is output, the monitoring center stores and updates the personal differentiation safety threshold value, when the face detection device detects that the face color of the sporter is changed into one of white, cyan, purple, black and red, the face color change information data is generated by the detection device, the generated face color change information data is transmitted to the monitoring center by the communication module, and the monitoring center receives the generated face color change information data and records the face color change information data as the initial safety threshold value, outputting alarm information and making an alarm sound by a buzzer; the monitoring center stores and updates the individual differentiation safety threshold value, when the face color change information of the sporter is detected to be changed into one of white, cyan, purple, black and red again, the monitoring center receives the generated face color change information data and arranges the face color change information data into the individual differentiation safety threshold value, the alarm information is output, and the buzzer sends out alarm sound.
The face detection device comprises a millimeter wave antenna, a camera, a signal processing module, a camera, a DSP processor, a display module, a storage module and a communication module; the millimeter wave antenna is used for collecting respiration heartbeat signals of a human body, the signal processing module is connected with the millimeter wave antenna and used for processing IQ modulation signals from the millimeter wave antenna, and the DSP processor is connected with the signal processing module and used for obtaining heartbeat frequency and respiration frequency according to the signals processed by the signal processing module; the camera is used for detecting face images and detecting vital sign data, personal identity information and vital sign data template information of a sporter are stored in the storage module, and the WIFI module is used for realizing data transmission between the device body and the monitoring center.
DPS treater real time monitoring is about breathing and the rhythm change of heartbeat before sudden death to judge the sign of sudden death, indicate display module and surveillance center with the information of control, communication module is connected with the DSP treater, and the mode through wireless transmission gives information transmission to the surveillance center and realizes the long-range condition of looking over the sporter.
The differential safety threshold learning method for the sporter comprises the following steps: the monitoring center monitors according to the initial safety threshold value, alarms when the face color change data of the sporter exceeds the initial safety threshold value, and sends a signal to the monitoring center to enable the processor to record the vital sign data of the current sporter and list the vital sign data into the differential safety threshold value when the sporter is finally confirmed to be in a normal condition.
The display module and the monitoring center can display the heartbeat frequency, the breathing frequency, the physical condition and the disease condition analysis of the sporter.
Although the invention has been described herein with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More specifically, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, other uses will also be apparent to those skilled in the art.
Claims (9)
1. A face identification sudden death prevention method for a gymnasium is characterized by comprising the following steps:
the method comprises the following steps: detecting the color change information of the face of the sporter through a face detection device on the fitness equipment;
step two: and the face color change information detected by the face detection device is transmitted to a monitoring center through a communication module, and the monitoring center compares the preset safety threshold data and judges whether the sporter has a sudden death precursor or not.
2. The method of claim 1, wherein the method comprises: the preset safety threshold is stored in the monitoring center, the monitoring center loads an initial safety threshold through big data, and the initial safety threshold is updated into a differential safety threshold according to the motion condition of the sporter.
3. The method for preventing sudden death by face recognition in gymnasium according to claim 2, wherein: the method for updating the differentiated safety threshold value according to the movement condition of the sporter comprises the following steps: the face detection device monitors according to an initial safety threshold value, alarms when the face color change information data of the sporter exceeds the initial safety threshold value, and finally sends a signal to the monitoring center to enable the monitoring center to record the face color change information data of the sporter at present and list the face color change information data into a differential safety threshold value when the sporter is finally confirmed to be in a normal condition.
4. The method of claim 3, wherein the method comprises the steps of: the method for detecting the color change information of the face of the sporter by the face detection device comprises the following steps: the face detection device monitors and collects face color information of a sporter for the first time and records the face color information as an individual initial safety threshold value; when the face detection device monitors that the face color of the sporter is changed into one of white, cyan, purple, black and red, face color change information data is generated, the generated face color change information data is transmitted to the monitoring center by the communication module of the face detection device, the face color change information received by the monitoring center exceeds a pre-stored initial safety threshold value and is listed into a personal differentiation safety threshold value, alarm information is output, and the personal differentiation safety threshold value is stored and updated by the monitoring center.
5. The method of claim 1, wherein the method comprises: the face detection device comprises a millimeter wave antenna, a camera, a signal processing module, a DSP (digital signal processor), a display module, a storage module and a communication module;
the millimeter wave antenna is used for collecting respiration heartbeat signals of a human body, the signal processing module is connected with the millimeter wave antenna and used for processing IQ modulation signals from the millimeter wave antenna, and the DSP processor is connected with the signal processing module and used for obtaining heartbeat frequency and respiration frequency according to the signals processed by the signal processing module; the camera is used for detecting face images and detecting vital sign data, personal identity information and vital sign data template information of a sporter are stored in the storage module, and the communication module is used for realizing data exchange between the device body and the monitoring center.
6. The method of claim 5, wherein the method comprises the steps of: the DPS processor monitors rhythm changes related to respiration and heartbeat before sudden death in real time, judges the sign of the sudden death and prompts the monitored information to a display module and a monitoring center.
7. The method of claim 5, wherein the method comprises the steps of: the communication module is connected with the DSP processor and transmits information to the monitoring center in a wireless transmission mode to realize remote checking of the condition of the sporter.
8. The method of claim 5, wherein the method comprises the steps of: the display module and the monitoring center can display the heartbeat frequency, the breathing frequency, the physical condition and the disease condition analysis of the sporter.
9. The method of claim 1, wherein the method comprises: the face detection device also detects the heartbeat frequency, the pupillary divergence and the respiratory frequency of the sporter.
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| CN201910712173.9A CN112294289A (en) | 2019-08-02 | 2019-08-02 | Face recognition sudden death prevention method for gymnasium |
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| CN201910712173.9A CN112294289A (en) | 2019-08-02 | 2019-08-02 | Face recognition sudden death prevention method for gymnasium |
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| US20130072807A1 (en) * | 2006-05-12 | 2013-03-21 | Bao Tran | Health monitoring appliance |
| US20090198374A1 (en) * | 2008-01-31 | 2009-08-06 | National Chiao Tung University Of Taiwan | Nursing system |
| WO2015174879A1 (en) * | 2014-05-14 | 2015-11-19 | Novelic D.O.O. | Mm-wave radar vital signs detection apparatus and method of operation |
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Application publication date: 20210202 |
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