CN112890785A - Health management system using non-contact image type physiological detection technology - Google Patents
Health management system using non-contact image type physiological detection technology Download PDFInfo
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Abstract
The invention mainly provides a health management system using a non-contact image type physiological detection technology, which mainly comprises: the image capturing device comprises an image capturing unit, a core operation module and a display unit, wherein the core operation module is provided with a face detection unit, a physiological index operation unit and a vitality index operation unit. The human face detection unit is used for detecting a human face part from an image of a tested person, so that the physiological index operation unit can obtain at least one physiological signal from the human face part, and then at least one signal processing is carried out on the at least one physiological signal, thereby obtaining a plurality of physiological indexes of the tested person. Furthermore, the vitality index calculation unit calculates a plurality of vitality indexes of the testee according to the plurality of physiological indexes. Particularly, in addition to displaying the current physiological index and activity index of the subject in real time through a graph, the display unit may also display an activity index graph and/or a physiological index graph of the subject within a time interval, so as to easily evaluate whether the health status of the subject does not deviate from the normal standard.
Description
Technical Field
The invention relates to the technical field of physiological signal detection, in particular to a health management system utilizing a non-contact image type physiological detection technology, which further completes the operation of a plurality of physiological indexes and a plurality of vitality indexes of a user in a mode of capturing a face image of the user; meanwhile, a long-time health report of the user can be established and displayed on a display screen, so that the physiological and vitality health states of the user can be effectively managed.
Background
The physiological information such as blood oxygen concentration and heartbeat is an important index for judging the health status of a person. With the vigorous development of the technology of the wearable devices, the utilization rate of wearable electronic products such as smart bracelets or smart watches is increased year by year. In addition to pairing with the user's own smartphone and/or tablet computer, the most important functions provided by wearable electronics are health monitoring, including: sleep recording, heart rate measurement, blood pressure measurement, fatigue management, stress management, and the like. Moreover, under the condition of matching with a specially designed application program (App), the wearable electronic product can also be used as a health management system, so that the physiological health state of the user can be managed. For example, taiwan utility model patent No. TW M578864 discloses a health management system for a wearable device. Unfortunately, if the user forgets to wear a smart bracelet or a smart watch equipped with an application (App) of the health management system, the health management system cannot collect the physiological data of the user through the smart bracelet or the smart watch, and cannot perform the health management of the user. In addition, the feedback of the user indicates that wearing the device such as the smart band or the smart watch for a long time causes inconvenience, for example, the user who is sensitive to skin may cause skin allergy.
Therefore, unlike the aforementioned health management system that must use a wearable device, taiwan patent No. TW I653601 proposes a health management system including a host and one or more physiological measurement instruments, which are usually placed in a common space, such as: hospital or supermarket. When the health management system is used, a user can input personal data including height, weight, age and the like through a human-computer interface of the host computer, and then the physiological measurement instrument is used for measuring other physiological parameters, so that the host computer is enabled to complete the production of the personal health scale of the user. Unfortunately, the health management system provided by the prior art includes a host and a plurality of physiological measurement instruments, which results in high cost for constructing the equipment, so that the health management system is generally used by the public and cannot be used by individual users at home.
Therefore, unlike the public health management system described above, taiwan patent publication No. TW 201143712 a proposes a handheld health management device for measuring physiological values of a user, including blood pressure, blood glucose, body temperature, body weight, body fat, etc., by at least one contact measurement unit. The handheld health management device further comprises an alarm element for selectively sending an alarm signal according to the measurement result of the physiological value of the user, so as to alarm the user that a certain physiological value exceeds a standard value. Unfortunately, when using the handheld health management device provided by the prior art, the user still needs to use the contact-type measurement unit to be able to perform the measurement of various physiological parameters, which still causes a certain degree of inconvenience for the user.
As can be seen from the foregoing description, although the known art has provided various different types of health management systems, these health management systems exhibit respective drawbacks and deficiencies in terms of practical use. On the other hand, the personal health scales produced by these health management systems typically only tabulate and tabulate all physiological measurements. Therefore, after reading the personal health scale, it is difficult for the average user to intuitively (within a short time) feel the physical and/or psychological health status.
In view of the above, the present inventors have made extensive studies and finally developed a health management system using a non-contact image type physiological detection technique according to the present invention.
Disclosure of Invention
The main objective of the present invention is to provide a health management system using non-contact image type physiological detection technology, which mainly comprises: the image capturing device comprises an image capturing unit, a core operation module and a display unit, wherein the core operation module is provided with a face detection unit, a physiological index operation unit and a vitality index operation unit. The human face detection unit is used for detecting a human face part from an image of a tested person, so that the physiological index operation unit can obtain at least one physiological signal from the human face part, and then at least one signal processing is carried out on the at least one physiological signal, thereby obtaining a plurality of physiological indexes of the tested person. Furthermore, the vitality index calculation unit calculates a plurality of vitality indexes of the testee according to the plurality of physiological indexes. In particular, in addition to displaying the current physiological index and activity index of the subject in real time through a graph, the display unit may also display the physiological index graph and activity index graph of the subject in a time interval, so as to easily evaluate whether the health status of the subject does not deviate from the normal standard.
To achieve the above objective, the present invention provides an embodiment of a health management system using a non-contact image type physiological detection technology, comprising:
an image capturing unit for capturing an image of a subject facing the subject;
a core operation module, coupled to the image capturing unit, and including:
a face detection unit for receiving the image of the person to be tested transmitted from the image capturing unit, so as to detect a face part from the image of the person to be tested;
a physiological index operation unit coupled to the face detection unit for obtaining at least one physiological signal from the face portion, so as to perform at least one signal processing on the at least one physiological signal, thereby obtaining a plurality of physiological indexes of the subject; and
a vitality index calculation unit coupled to the physiological index calculation unit for calculating a plurality of vitality indexes of the subject according to the plurality of physiological indexes; and
a display unit coupled to the core operation module for displaying the plurality of vitality indexes, at least one charted vitality index data, the plurality of physiological indexes, and/or at least one charted physiological index data.
In an embodiment of the health management system using the non-contact image-based physiological detection technique of the present invention, the physiological indexes include: heart rate, arrhythmia value, respiration rate, Blood volume, Blood oxygen, Blood pressure, Blood vessel viscosity (Blood vessel viscocity), venous function, venous return, ankle pressure, Genital response (genetic responses), and Cardiac output (Cardiac output).
In an embodiment of the health management system using the non-contact image-based physiological detection technique of the present invention, the activity indexes include: health force, active force, stable force, stress relieving force, metabolic force, and balance force.
In a possible embodiment of the health management system using the non-contact image type physiological detection technology of the present invention, the image capturing unit is an independent camera, and the core operation module is integrated in an electronic host device; wherein, the electronic host device can be any one of the following: a cloud server, a desktop computer, an All-In-One (All-In-One) computer, an embedded system, a notebook computer, a tablet computer, a smart phone, a smart watch, smart glasses, a smart television, a smart display device, a smart home gate machine, or a home care system host.
In another possible embodiment of the health management system using the non-contact image-based physiological detection technology of the present invention, the image capturing unit and the core operation module are integrated in a same electronic product, and the electronic product may be any one of the following: an All-In-One (All-In-One) computer, an embedded system, a notebook computer, a tablet computer, a smart phone, a smart watch, smart glasses, a smart television, a smart display device, a smart camera, a smart home gate phone, or a home care system host.
In a possible embodiment of the health management system using the non-contact image type physiological detection technology of the present invention, the display unit is an independent display, and the core operation module is integrated in an electronic host device; wherein the free standing display may be any one of: a television, a desktop display, a portable display, a projection display, a smart display, or a touch display. Moreover, the electronic host device may be any one of the following: the system comprises a cloud server, a desktop computer, an all-in-one computer, a notebook computer, a tablet computer, a smart phone, a smart watch, smart glasses, a smart television, a smart home door phone, a smart camera, or a home care system host.
In another possible embodiment of the health management system using the non-contact image-based physiological detection technology of the present invention, the display unit and the core operation module are integrated in a same electronic product, and the electronic product may be any one of the following: an all-in-one computer, a notebook computer, a tablet computer, a smart phone, a smart watch, smart glasses, a smart television, a smart display device, a smart home gate machine, or a home care system host.
In one possible embodiment, the health management system using the non-contact image-based physiological detection technology of the present invention may further include:
a storage unit coupled to the core operation module for storing the plurality of vitality indexes and the plurality of physiological indexes; and
the main control unit is coupled with the storage unit, the image capturing unit, the core operation module and the display unit and is used for controlling the operation of the image capturing unit and the core operation module and controlling the display unit to display the plurality of vitality indexes, the plurality of physiological indexes, the charted vitality index data and/or the charted physiological index data.
In a practical embodiment, a face recognition unit is further disposed in the core operation module of the health management system using non-contact image-based physiological detection technology of the present invention, and is coupled to the face detection unit, and is configured to obtain face feature information from the face portion, and further perform a feature matching procedure according to the face feature information and a face feature template stored in the storage unit, so as to complete the identity recognition of the subject.
In an embodiment of the health management system using the non-contact image type physiological detection technique of the present invention, the storage unit includes:
a user identity database for storing a plurality of face feature templates and a plurality of user personal data, wherein each face feature template is recorded according to the corresponding testee 2 and corresponds to each user personal data;
an index database for storing the vitality indexes and the physiological indexes according to the personal data of each user; and
a charting database for storing the charting vitality index data and the charting physiological index data according to the personal data of each user;
wherein, the charted vitality index data and the charted physiological index data both comprise a real-time data part and a historical data part.
In a practical embodiment, a health status evaluation unit coupled to the physiological index calculation unit and the vitality index calculation unit is further disposed in the core calculation module of the health management system utilizing the non-contact image-based physiological detection technology of the present invention, and configured to evaluate a health status of the subject according to the at least one charted vitality index data and the at least one charted physiological index data, and transmit an alert signal to the main control unit when the health status does not meet a standard, so that the main control unit controls the display unit to display an alert message.
In a practical embodiment, the health management system using the non-contact image-based physiological detection technology further includes a communication unit coupled to the main control unit for enabling the main control unit to communicate with an external electronic device; the communication unit comprises a wired transmission interface and/or a wireless transmission interface.
Drawings
FIG. 1 is a first schematic perspective view of a health management system using non-contact image-based physiological detection according to a first embodiment of the present invention;
FIG. 2 is a second schematic perspective view of the health management system using non-contact image-based physiological detection technology according to the first embodiment of the present invention;
FIG. 3 is a block diagram of a health management system using non-contact image-based physiological detection according to a first embodiment of the present invention;
FIG. 4A shows a six-force diagram of a graphical vitality index data;
figure 4B shows a sixteenth plot of another charted viability index data;
FIG. 5 is a block diagram of a health management system using non-contact image-based physiological detection according to a second embodiment of the present invention;
FIG. 6 shows a graph of time versus activity index values;
FIG. 7 is a block diagram of a health management system using non-contact image-based physiological detection according to a third embodiment of the present invention;
FIG. 8 is a schematic perspective view of a health management system using non-contact image-based physiological detection technology according to a fourth embodiment of the present invention; and
FIG. 9 is a block diagram of a health management system using non-contact image-based physiological detection according to a fourth embodiment of the present invention.
[ notation ] to show
Health management system using non-contact image type physiological detection technology
10 Main control Unit
11 image capturing unit
12 core operation module
121 human face detecting unit
122 physiological index operation unit
123 vitality index operation unit
124 face recognition unit
125 health status evaluation unit
13 display unit
14 storage unit
140 user identity database
141 index database
142 chart database
15 communication unit
2 subject to test
3 electronic device
4 external electronic device
Detailed Description
In order to more clearly describe the health management system using the non-contact image-based physiological detection technology, the following description will be made in detail with reference to the accompanying drawings.
Fig. 1 is a first schematic perspective view of a health management system using a non-contact image-based physiological detection technique according to a first embodiment of the present invention, fig. 2 is a second schematic perspective view of the health management system using the non-contact image-based physiological detection technique according to the first embodiment of the present invention, and fig. 3 is a block diagram of the health management system using the non-contact image-based physiological detection technique according to the first embodiment of the present invention. As shown in fig. 1 and fig. 3, a health management system 1 (hereinafter, referred to as "health management system") using a non-contact image type physiological detection technology of the present invention mainly includes: an image capturing unit 11, a core operation module 12 and a display unit 13. It should be noted that fig. 1 shows that the core operation module 12 is integrated in an electronic device 3 in the form of an electronic chip, and the electronic device 3 has the display unit 13. Although fig. 1 shows the electronic device 3 as a home care system host, in a practical embodiment, the electronic device 3 may also be: electronic products with displays, such as All-In-One (All-In-One) computers, notebook computers, tablet computers, smart phones, smart watches, smart glasses, smart televisions, smart display devices, or smart home doorphones.
On the other hand, fig. 2 shows that the core operation module 12 is integrated in an electronic device 3 in the form of an electronic chip, and the display unit 13 is a stand-alone display. Although fig. 2 shows the display unit 13 as a flat panel display, in a practical embodiment, the display unit 13 can also be a television, a desktop display, a portable display, a projection display, and a touch display. In short, the present invention does not limit whether the core operation module 12 and the display unit 13 are integrated in the same electronic device 3. For example, the core operation module 12 may be disposed in a Cloud computing server (Cloud computing server), or may be disposed in a Local electronic host device (Local electronic device).
In the first embodiment of the health management system 1 of the present invention, the image capturing unit 11 is used for facing a subject 2 to capture an image of the subject. It should be understood that, in practical embodiments, the image capturing unit 11 and the core computing module 12 may be integrated in the same electronic device 3, for example, the electronic device 3 is an electronic product such as a smart phone, a notebook computer, a tablet computer, an embedded device, a smart television, and the like. In the case where the core computing module 12 is located in a local electronic host or a cloud server, the image capturing unit 11 is a stand-alone camera (as shown in fig. 2).
More specifically, the core operation module 12 is coupled to the image capturing unit 11 and has a face detection unit 121, a physiological index operation unit 122 and a vitality index operation unit 123. It should be understood that, since the core operation module 12 is integrated in the electronic device 3 in the form of an electronic chip, the face detection unit 121, the physiological index operation unit 122 and the vitality index operation unit 123 can be edited into at least one application program in the form of a function library, a variable or an operand, and then are established in the core operation module 12. According to the design of the present invention, the face detection unit 121 is used to receive the image of the subject transmitted by the image capturing unit 11, so as to detect a face part from the image of the subject.
As mentioned above, the physiological index calculation unit 122 is coupled to the face detection unit 121, and is configured to obtain at least one physiological signal from the face portion, so as to perform at least one signal processing on the at least one physiological signal, thereby obtaining a plurality of physiological indexes of the subject 2. The activity index calculation unit 123 is coupled to the physiological index calculation unit 122, and is configured to calculate a plurality of activity indexes of the subject 2 according to the plurality of physiological indexes. In a possible embodiment, the plurality of physiological indices comprises: heart rate, arrhythmia value, respiration rate, Blood volume, Blood oxygen, Blood pressure, Blood vessel viscosity (Blood vessel viscocity), venous function, venous return, ankle pressure, Genital response (genetic responses), and Cardiac output (Cardiac output). In another aspect, the plurality of vitality indices comprises: health force, active force, stable force, stress relieving force, metabolic force, and balance force.
As shown in fig. 1 and fig. 2, the health management system 1 of the present invention further includes a storage unit 14 and a main control unit 10. The storage unit 14 is coupled to the core operation module 12 for storing the vitality indexes and the physiological indexes. In one embodiment, the physiological index calculation unit 122 may be further configured to generate at least one charted physiological index data according to the plurality of physiological indexes, and the vitality index calculation unit 123 may be further configured to generate at least one charted vitality index data according to the plurality of vitality indexes. Of course, the main control unit 10 or a dedicated graph generating unit (not shown) may also retrieve the physiological indexes and/or the vitality indexes from the storage unit 14 to generate at least one of the graphed physiological index data and/or at least one of the graphed vitality index data. On the other hand, the main control unit 10 is coupled to the storage unit 14, the image capturing unit 11, the core operation module 12, and the display unit 13, and is configured to control operations of the image capturing unit 11 and the core operation module 12, and transmit the charted vitality index data and the charted physiology index data stored in the storage unit 14 to the display unit 13, so that the display unit 13 displays the plurality of vitality indexes, at least one of the charted vitality index data, the plurality of physiology indexes, and/or at least one of the charted physiology index data.
Fig. 4A shows a six-force diagram of a charted viability index data, and fig. 4B shows another six-force diagram of a charted viability index data. The six-panel diagram of fig. 4A shows that subject 2 exhibits higher magnitude in each activity index, indicating that subject 2 is currently in a mental, psychological, and/or physiological condition that is ideal or even lively. Conversely, it can be seen from the six-point diagram of fig. 4B that the vitality indices of subject 2 are all low in magnitude, indicating that the current mental, psychological and/or physiological condition of subject 2 tends to be depressed. In brief, the health management system 1 of the present invention can convert a plurality of physiological indexes of the subject 2 into a plurality of vitality indexes and present the plurality of vitality indexes in a graph, so that the subject 2 can intuitively (in a short time) feel a change in the physiological and/or psychological health status after reading the graph data.
In addition, in the case where, for example, the hexagram shows that the healthy and active forces of the subject 2 are high and the balance force is low, it is presumed that the subject 2 is in a mental concentration and tense and stressful situation. Alternatively, in a case where, for example, the hexagram shows that the balance force and metabolic force of the subject 2 are high and the active force and healthy force are low, it represents that the subject 2 is in a state of mental relaxation. Therefore, in order to further complete an instant health status assessment for the subject 2 by analyzing the vitality indexes, the at least one charted vitality index data, the physiological indexes, and/or the at least one charted physiological index data, the second embodiment of the health management system 1 utilizing the non-contact image type physiological detection technology of the present invention is completed by adding a health status assessment unit 125 to the core operation module 12.
FIG. 5 is a block diagram of a health management system using non-contact image-based physiological detection according to a second embodiment of the present invention. As shown in fig. 1 and 5, the storage unit 14 is configured to include an index database 141 and a chart database 142; the index database 141 is used for storing the vitality indexes and the physiological indexes, and the graph database 142 is used for storing the at least one charted vitality index data and the at least one charted physiological index data. In addition, as shown in fig. 5, the core operation module 12 further has a health status evaluation unit 125 coupled to the physiological index operation unit 122 and the vitality index operation unit 123.
It should be noted that the magnitude of the vitality indexes displayed by the same subject 2 may not be the same after receiving the non-contact measurement of the health management system 1 of the present invention at different times (as shown in fig. 4A and 4B). Therefore, after the health management system 1 of the present invention completes the measurement operation, the physiological index calculation unit 122 and the vitality index calculation unit 123 store the physiological indexes and the vitality indexes in the index database 141 of the storage unit 14. Meanwhile, the physiological index calculation unit 122 and the vitality index calculation unit 123 also use the at least one charted physiological index data and the at least one charted vitality index data in the chart database 142 of the storage unit 14. Finally, the health status evaluation unit 125 can display the charted vitality index data and/or the charted physiological index data including both the real-time data portion and the historical data portion through the display unit 13, as shown in the graph of time versus vitality index values shown in fig. 6. After viewing the activity index variation curve (or physiological index variation curve) of the subject 2 in a time interval as shown in fig. 6, the subject 2 can also know the fluctuation degree of the physiological or psychological condition of the subject in the time interval.
Further, the health status evaluation unit 125 of the core calculation module 12 can evaluate the health status of the subject 2 according to at least one charted vitality index data (or at least one charted physiology index data) as shown in fig. 4A and 4B. Alternatively, the health status evaluation unit 125 may analyze a graph of time versus activity index values (or physiological index values) as shown in fig. 6, thereby evaluating the health status of the subject 2. Moreover, if the health status of the testee 2 is determined not to meet the normal standard, the health status evaluation unit 125 transmits an alarm signal to the main control unit 10, so that the main control unit 10 controls the display unit 13 to display an alarm message. For example. After analyzing the charted vitality index data and the charted physiological index data, if the health status evaluation unit 125 finds that the subject 2 is likely to have a risk of suffering from a specific disease, the relevant warning information can be displayed on the display unit 13, so as to remind the subject 2 to seek professional medical assistance as soon as possible.
It is inferred that the health management system 1 of the present invention utilizing the non-contact image type physiological detection technology can be further applied as a home health management system or a cloud health management system. In this case, a face recognition unit should be added to the core operation module 12. FIG. 7 is a block diagram of a health management system using non-contact image-based physiological detection according to a third embodiment of the present invention. As shown in fig. 1 and 7, the core operation module 12 further has a face recognition unit 124, and the storage unit 14 is configured to include an index database 141, a chart database 142, and a user identity database 140. In a third embodiment, the user identity database 140 is configured to store a plurality of face feature templates and a plurality of user personal data, wherein each face feature template is recorded according to the corresponding examinee 2 and corresponds to each user personal data. On the other hand, the added face recognition unit 124 is coupled to the face detection unit 121 for obtaining a face feature information from the face portion, and performing a feature matching procedure according to the face feature information and a face feature template stored in the storage unit 14 to complete the identity recognition of the subject 2.
In normal operation, after the image capturing unit 11 captures an image of a subject, the face recognition unit 124 recognizes the identity of the subject 2 according to the face part detected by the face detection unit 121 and a plurality of pieces of face feature information pre-stored in the user identity database 140. Subsequently, after the physiological index operation unit 122 and the vitality index operation unit 123 complete their tasks, the index database 141 stores the vitality indexes and the physiological indexes according to the identified personal data of the user, and the graph database 142 stores the at least one charted vitality index data and the at least one charted physiological index data according to the identified personal data of the user. Finally, the display unit 13 displays the vitality indexes, at least one of the charted vitality index data, the physiological indexes, and/or at least one of the charted physiological index data corresponding to the identity of the subject 2 in real time.
Furthermore, the present invention also provides a fourth embodiment of the health management system 1 using the non-contact image type physiological detection technology. FIG. 8 is a schematic perspective view of a fourth embodiment of a health management system using non-contact image-based physiological detection technology according to the present invention, and FIG. 9 is a block diagram of the fourth embodiment of the health management system using non-contact image-based physiological detection technology according to the present invention. As shown in fig. 8 and 9, the health management system 1 of the present invention further includes a communication unit 15 coupled to the main control unit 10 and including a wired transmission interface and/or a wireless transmission interface. It should be understood that the communication unit 15 is used to enable the main control unit 10 to communicate with an external electronic device 4, wherein the electronic device 4 is preferably an electronic product carried by the testee 2, such as: a smart watch, a smart phone, a tablet computer, or a notebook computer.
Thus, the foregoing has fully and clearly illustrated all embodiments and features of a health management system using non-contact image based physiological detection. It should be emphasized that the above-described embodiments are presently preferred, since numerous variations and modifications may be made, which will readily suggest themselves to those skilled in the art, without departing from the scope of the appended claims.
Claims (17)
1. A health management system using a non-contact image type physiological detection technology, comprising:
an image capturing unit for capturing an image of a subject facing the subject;
a core operation module, coupled to the image capturing unit, and having:
a face detection unit for receiving the image of the person to be tested transmitted from the image capturing unit, so as to detect a face part from the image of the person to be tested;
a physiological index operation unit coupled to the face detection unit for obtaining at least one physiological signal from the face portion, so as to perform at least one signal processing on the at least one physiological signal, thereby obtaining a plurality of physiological indexes of the subject; and
a vitality index calculation unit coupled to the physiological index calculation unit for calculating a plurality of vitality indexes of the subject according to the plurality of physiological indexes; and
a display unit coupled to the core operation module for displaying the plurality of vitality indexes, at least one charted vitality index data, the plurality of physiological indexes, and/or at least one charted physiological index data.
2. The non-contact physiological signal detecting device according to claim 1, wherein the plurality of physiological indices comprises: heart rate, arrhythmia value, respiration rate, blood volume, blood oxygen, blood pressure, blood vessel viscosity, venous function, venous return, ankle pressure, genital response, and cardiac output.
3. The system of claim 1, wherein the plurality of vitality indices comprise: health force, active force, stable force, stress relieving force, metabolic force, and balance force.
4. The system of claim 1, wherein the image capturing unit is a stand-alone camera and the kernel operation module is integrated into an electronic host device.
5. The system of claim 4, wherein the host device is any one of the following: a cloud server, a desktop computer, an All-In-One (All-In-One) computer, a notebook computer, a tablet computer, a smart phone, a smart watch, smart glasses, a smart display device, a smart television, a smart home gate machine, or a home care system host.
6. The system of claim 1, wherein the image capturing unit and the core computing module are integrated in a same electronic product, and the electronic product is any one of the following: an All-In-One (All-In-One) computer, an embedded computer, a notebook computer, a tablet computer, a smart phone, a smart watch, smart glasses, a smart television, a smart home gate machine, or a home care system host.
7. The system of claim 1, wherein the display unit is a stand-alone display and the kernel operation module is integrated into an electronic host device.
8. The system of claim 7, wherein the self-contained display is any one of the following: a television, a desktop display, a portable display, a projection display, or a touch display.
9. The system of claim 7, wherein the host device is any one of the following: a cloud server, a desktop computer, an All-In-One (All-In-One) computer, an embedded computer, a notebook computer, a tablet computer, a smart phone, a smart watch, smart glasses, a smart television, a smart display device, a smart home gate machine, or a home care system host.
10. The system of claim 7, wherein the display unit and the core computing module are integrated in a same electronic product, and the electronic product is any one of the following: an All-In-One (All-In-One) computer, a notebook computer, a tablet computer, a smart phone, a smart watch, smart glasses, a smart television, a smart display device, a smart home gate machine, or a home care system host.
11. The health management system using non-contact image based physiological detection technology according to claim 1, further comprising:
a storage unit coupled to the core operation module for storing the plurality of vitality indexes and the plurality of physiological indexes; and
the main control unit is coupled with the storage unit, the image capturing unit, the core operation module and the display unit and is used for controlling the operation of the image capturing unit and the core operation module and controlling the display unit to display the plurality of vitality indexes, the plurality of physiological indexes, the charted vitality index data and/or the charted physiological index data.
12. The system of claim 11, wherein the core computing module further comprises a face recognition unit coupled to the face detection unit for obtaining face feature information from the face region, and performing a feature matching procedure according to the face feature information and a face feature template stored in the storage unit to complete the identity recognition of the subject.
13. The system of claim 11, further comprising a communication unit coupled to the host control unit for enabling the host control unit to communicate with an external electronic device.
14. The system of claim 12, wherein the storage unit comprises:
a user identity database for storing a plurality of face feature templates and a plurality of user personal data, wherein each face feature template is recorded according to the corresponding testee and corresponds to each user personal data;
an index database for storing the vitality indexes and the physiological indexes according to the personal data of each user; and
a charting database for storing the charting vitality index data and the charting physiology index data according to the personal data of each user.
15. The system of claim 13, wherein the communication unit comprises a wired transmission interface and/or a wireless transmission interface.
16. The system of claim 14, wherein the graphical vitality index data and the graphical physiology index data both comprise a real-time data portion and a historical data portion.
17. The system of claim 16, wherein the core module further comprises a health status evaluation unit coupled to the physiological index calculation unit and the vitality index calculation unit for evaluating a health status of the subject according to the at least one charted vitality index data and the at least one charted physiological index data, and the health status evaluation unit transmits an alert signal to the main control unit when the health status does not meet a predetermined criterion, so as to enable the main control unit to control the display unit to display an alert message.
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| TW108144382A TW202123255A (en) | 2019-12-04 | 2019-12-04 | Health management system using non-contact imaging-based physiological measurement technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI759218B (en) * | 2021-06-02 | 2022-03-21 | 國立陽明交通大學 | Non-contact heart rhythm category monitoring system and method |
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| TWI778464B (en) * | 2020-12-02 | 2022-09-21 | 英屬維爾京群島商輝煌時代責任有限公司 | Method for inputting image display information, method for processing physiological image information, and equipment for processing physiological image information |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130010207A (en) * | 2011-07-18 | 2013-01-28 | 주식회사 라이프사이언스테크놀로지 | System for analyze the user's health and stress |
| US20150124067A1 (en) * | 2013-11-04 | 2015-05-07 | Xerox Corporation | Physiological measurement obtained from video images captured by a camera of a handheld device |
| KR20160002060A (en) * | 2014-06-30 | 2016-01-07 | (주)이산티에스 | A method of measuring mental wellness index and the system thereof |
| KR20160065702A (en) * | 2014-12-01 | 2016-06-09 | 계명대학교 산학협력단 | Health caring method of monitoring wellness index for biofeedback and home health mirror-wearable interacting system performing the health caring method |
| CN107205663A (en) * | 2015-01-19 | 2017-09-26 | 皇家飞利浦有限公司 | Equipment, system and method for skin detection |
| KR101783713B1 (en) * | 2016-04-05 | 2017-10-10 | 계명대학교 산학협력단 | System and method that can authenticate the user and at the same time non-contact pulse measurements |
| CN107510461A (en) * | 2017-07-07 | 2017-12-26 | 广州医软智能科技有限公司 | Organizational vitality, blood oxygen change and method for detecting blood oxygen saturation and intelligent terminal |
| KR20190007803A (en) * | 2017-07-13 | 2019-01-23 | 성균관대학교산학협력단 | Method And Apparatus For Measuring Bio-Signal Using Infrared Image |
| EP3440991A1 (en) * | 2017-08-08 | 2019-02-13 | Koninklijke Philips N.V. | Device, system and method for determining a physiological parameter of a subject |
| EP3440996A1 (en) * | 2017-08-08 | 2019-02-13 | Koninklijke Philips N.V. | Device, system and method for determining a physiological parameter of a subject |
| CN110021140A (en) * | 2018-01-09 | 2019-07-16 | 财团法人交大思源基金会 | Monitoring system and monitoring method applied to infant |
-
2019
- 2019-12-04 TW TW108144382A patent/TW202123255A/en unknown
-
2020
- 2020-12-03 CN CN202011407197.2A patent/CN112890785A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130010207A (en) * | 2011-07-18 | 2013-01-28 | 주식회사 라이프사이언스테크놀로지 | System for analyze the user's health and stress |
| US20150124067A1 (en) * | 2013-11-04 | 2015-05-07 | Xerox Corporation | Physiological measurement obtained from video images captured by a camera of a handheld device |
| KR20160002060A (en) * | 2014-06-30 | 2016-01-07 | (주)이산티에스 | A method of measuring mental wellness index and the system thereof |
| KR20160065702A (en) * | 2014-12-01 | 2016-06-09 | 계명대학교 산학협력단 | Health caring method of monitoring wellness index for biofeedback and home health mirror-wearable interacting system performing the health caring method |
| CN107205663A (en) * | 2015-01-19 | 2017-09-26 | 皇家飞利浦有限公司 | Equipment, system and method for skin detection |
| KR101783713B1 (en) * | 2016-04-05 | 2017-10-10 | 계명대학교 산학협력단 | System and method that can authenticate the user and at the same time non-contact pulse measurements |
| CN107510461A (en) * | 2017-07-07 | 2017-12-26 | 广州医软智能科技有限公司 | Organizational vitality, blood oxygen change and method for detecting blood oxygen saturation and intelligent terminal |
| KR20190007803A (en) * | 2017-07-13 | 2019-01-23 | 성균관대학교산학협력단 | Method And Apparatus For Measuring Bio-Signal Using Infrared Image |
| EP3440991A1 (en) * | 2017-08-08 | 2019-02-13 | Koninklijke Philips N.V. | Device, system and method for determining a physiological parameter of a subject |
| EP3440996A1 (en) * | 2017-08-08 | 2019-02-13 | Koninklijke Philips N.V. | Device, system and method for determining a physiological parameter of a subject |
| CN110021140A (en) * | 2018-01-09 | 2019-07-16 | 财团法人交大思源基金会 | Monitoring system and monitoring method applied to infant |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI759218B (en) * | 2021-06-02 | 2022-03-21 | 國立陽明交通大學 | Non-contact heart rhythm category monitoring system and method |
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| Publication number | Publication date |
|---|---|
| TW202123255A (en) | 2021-06-16 |
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