CN108492879A - Terminal device, sport health assessment system and method - Google Patents
Terminal device, sport health assessment system and method Download PDFInfo
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- CN108492879A CN108492879A CN201810271560.9A CN201810271560A CN108492879A CN 108492879 A CN108492879 A CN 108492879A CN 201810271560 A CN201810271560 A CN 201810271560A CN 108492879 A CN108492879 A CN 108492879A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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Abstract
The invention discloses a kind of terminal device, sport health assessment system and methods.The terminal device includes：Receiving module, the physiological data for receiving the user for being embedded at least one of the underwear first sensor detection of user；Acquisition module, the exercise data of the user for obtaining second sensor detection, the kinematic parameter which detects when being kept in motion for user；And evaluation module, for carrying out sport health assessment to user based on physiological data and exercise data.The exercise data for the user that the present invention is detected by the physiological data of the user of at least one of the underwear that will be embedded in user first sensor detection and the second sensor being arranged in terminal device is combined and carries out comprehensive analysis, the cooperative between each sensor is realized, and thus provides scientific and reasonable sport health suggestion.In addition, the present invention uses flexible circuit technology, this improves the accuracy of the comfort level of dress and measurement.
Description
Technical Field
The invention relates to the field of exercise health assessment, in particular to a terminal device, an exercise health assessment system and an exercise health assessment method.
Background
With the development of science and technology and the promotion of health consciousness, more and more people like monitoring the self motion condition and health condition by using wearable devices (such as motion bracelets, smart watches, glasses, clothes, shoes and the like) with motion health monitoring functions.
In the prior art, although such wearable devices with exercise health monitoring functions can monitor heart rate, blood pressure, exercise steps, calories burned, sleep time, sleep quality and the like, the wearing comfort and the measurement accuracy are not high, and scientific and reasonable exercise health assessment and advice cannot be provided.
Disclosure of Invention
In view of the above, the present invention provides a terminal device, an exercise health assessment system and an exercise health assessment method, which can improve wearing comfort and measurement accuracy, and achieve cooperative measurement between sensors, and thus provide scientific and reasonable exercise health advice.
The present invention provides a terminal device, including: a receiving module for receiving physiological data of a user detected by at least one first sensor embedded in the user's undergarment; the acquisition module is used for acquiring the motion data of the user, which is detected by the second sensor, wherein the motion data is the motion parameter detected when the user is in a motion state; and the evaluation module is used for carrying out exercise health evaluation on the user based on the physiological data and the exercise data.
Further, the at least one first sensor includes a temperature sensor, the physiological data includes body temperature data, the evaluation module determines an exercise state of the user based on the exercise data, the exercise state includes an in-exercise state and a non-in-exercise state, and if the exercise state is the in-exercise state, the evaluation module generates a first exercise recommendation based on the body temperature data.
Specifically, the evaluation module calculates a body temperature difference value between the body temperature data and the reasonable body temperature data, and if the body temperature difference value is greater than or equal to 0.3 ℃ and less than 0.8 ℃, the evaluation module generates a first exercise suggestion, wherein the first exercise suggestion comprises a rest prompt; or if the body temperature difference value is greater than or equal to 0.8 degrees centigrade and less than 1.5 degrees centigrade, the evaluation module generates a first exercise suggestion, and the first exercise suggestion comprises an exercise temperature rise excess prompt.
Specifically, the assessment module calculates a body temperature difference between the body temperature data and the rational body temperature data, and if the body temperature difference is greater than or equal to 1.5 degrees celsius, the assessment module generates a first athletic recommendation that includes a body temperature abnormality alert.
Specifically, the at least one first sensor further comprises a heart rate sensor, the physiological data further comprises heart rate data, the evaluation module determines the motion state of the user based on the motion data, the motion state comprises a motion state and a non-motion state, the body temperature difference value between the body temperature data and the reasonable body temperature data is calculated, when the motion state is the motion state and the body temperature difference value is greater than or equal to 0.2 ℃ and less than 1.5 ℃, the heart rate sensor embedded in underwear of the user is controlled to detect the heart rate data, the heart rate data detected by the heart rate sensor is received, and the motion health of the user is evaluated based on the heart rate data.
Specifically, the evaluation module compares the heart rate data with first preset heart rate data, and if the heart rate data is greater than or equal to 90% of the first preset heart rate data and the body temperature difference value is greater than or equal to 0.2 ℃, the evaluation module generates a second exercise suggestion, wherein the second exercise suggestion comprises a rest prompt; or if the heart rate data is larger than or equal to the first preset heart rate data and the body temperature difference value is larger than or equal to 0.3 degrees centigrade, the evaluation module generates a second exercise suggestion, and the second exercise suggestion comprises a heart rate overhigh reminder.
Further, the at least one first sensor includes a heart rate sensor, the physiological data includes heart rate data, the evaluation module determines a motion state of the user based on the motion data, the motion state includes an in-motion state and a non-in-motion state, and if the motion state is the in-motion state, the evaluation module generates a third motion recommendation based on the heart rate data.
Specifically, the evaluation module compares the heart rate data with first preset heart rate data and second preset heart rate data, and if the heart rate data is greater than or equal to the first preset heart rate data and less than or equal to the second preset heart rate data, the evaluation module generates a third exercise suggestion, wherein the third exercise suggestion comprises a rest prompt; alternatively, if the heart rate data is greater than the second preset heart rate data, the evaluation module generates a third athletic recommendation that includes a heart rate overhigh reminder.
Specifically, if the athletic state is a non-athletic state, the assessment module compares the heart rate data to a third preset heart rate data, and if the heart rate data is greater than or equal to the third preset heart rate data, the assessment module generates a third athletic recommendation that includes an abnormal heart rate alert.
The invention also provides an exercise health assessment system, comprising: an undergarment; and a terminal device as described above.
The invention also provides an exercise health assessment method, which comprises the following steps: receiving physiological data of a user detected by at least one first sensor embedded in the user's undergarment; acquiring motion data of the user detected by a second sensor, wherein the motion data is a motion parameter detected when the user is in a motion state; and performing an exercise health assessment for the user based on the physiological data and the exercise data.
Further, the at least one first sensor comprises a temperature sensor, the physiological data comprises body temperature data, and the exercise health assessment of the user based on the physiological data and the exercise data comprises: determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state; and generating a first exercise recommendation based on the body temperature data if the exercise state is an in-exercise state.
Specifically, generating a first movement recommendation based on the body temperature data includes: calculating the body temperature difference value between the body temperature data and the reasonable body temperature data; and if the body temperature difference value is greater than or equal to 0.3 ℃ and less than 0.8 ℃, generating a first exercise suggestion, wherein the first exercise suggestion comprises a rest prompt; or if the body temperature difference value is greater than or equal to 0.8 degrees centigrade and less than 1.5 degrees centigrade, generating a first exercise suggestion, wherein the first exercise suggestion comprises an exercise temperature rise excess prompt.
Specifically, the at least one first sensor further includes a heart rate sensor, the physiological data further includes heart rate data, and the exercise health assessment is performed on the user based on the physiological data and the exercise data, further including: determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state; calculating a body temperature difference value between the body temperature data and the reasonable body temperature data, and controlling a heart rate sensor embedded in underwear of a user to detect the heart rate data when the motion state is a motion state and the body temperature difference value is greater than or equal to 0.2 ℃ and less than 1.5 ℃; receiving heart rate data detected by a heart rate sensor; and performing an exercise health assessment for the user based on the heart rate data.
Further, the at least one first sensor comprises a heart rate sensor, the physiological data comprises heart rate data, and the exercise health assessment for the user based on the physiological data and the exercise data comprises: determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state; and generating a third athletic recommendation based on the heart rate data if the athletic state is an in-motion state.
According to the technical scheme provided by the invention, the physiological data of the user detected by at least one first sensor embedded in the underwear of the user is received; acquiring motion data of the user detected by a second sensor, wherein the motion data is a motion parameter detected when the user is in a motion state; and the exercise health assessment is carried out on the user based on the physiological data and the exercise data, the wearing comfort and the measurement accuracy are improved, the cooperative measurement among the sensors is realized, and therefore, scientific and reasonable exercise health suggestions are provided.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a flowchart illustrating an exercise health assessment method according to an exemplary embodiment of the present invention.
Fig. 2 is a flowchart illustrating an exercise health assessment method according to another exemplary embodiment of the present invention.
Fig. 3 is a flowchart illustrating an exercise health assessment method according to another exemplary embodiment of the present invention.
Fig. 4 is a flowchart illustrating an exercise health assessment method according to another exemplary embodiment of the present invention.
Fig. 5 is a block diagram illustrating a terminal device according to an exemplary embodiment of the present invention.
Fig. 6 is a block diagram illustrating an apparatus for exercise health assessment in accordance with an exemplary embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart illustrating an exercise health assessment method according to an exemplary embodiment of the present invention. As shown in fig. 1, the method includes:
110: physiological data of the user detected by at least one first sensor embedded in the user's undergarment is received.
In an embodiment of the invention, the terminal device receives physiological data of the user detected by at least one first sensor embedded in the underwear of the user.
Specifically, the terminal device may include a smart phone, a smart watch, a sports bracelet, glasses, shoes, and the like, may also include a notebook computer, a desktop computer, and the like, or may further include a cloud terminal device, which is not limited in this respect. Preferably, in the embodiment of the present invention, the terminal device is a smart watch.
The undergarment may be a sensing undergarment in which the circuitry and devices are of a flexible and/or miniaturized design. Specifically, the Circuit in the sensing underwear is a Flexible Circuit (FPC), and the connections between the devices are Flexible Circuit connections except for the devices themselves, so that the Circuit and the devices are fused with the tissue of the sensing underwear, and therefore, the wearing comfort is improved. Furthermore, the circuit is subjected to glue dispensing treatment, and the circuit subjected to glue dispensing is arranged in the plastic local inner container according to the shape of the underwear, so that the overall waterproofness and the durability are improved. In addition, the circuit and the sensor are designed to be detachable integrally, and the nylon thread gluing is arranged on the outer side of the circuit and the sensor, so that the circuit and the sensor can be easily detached when the underwear needs to be cleaned, or the circuit and the sensor can be installed in other sensing underwear, and the invention is not limited to this.
The at least one first sensor may include, but is not limited to, one or more of a temperature sensor, a heart rate sensor, a respiratory rate sensor, a blood oxygen saturation sensor, and the like. In an embodiment of the invention, the first sensor is a temperature sensor and/or a heart rate sensor; here, the temperature sensor is used to detect body temperature data of the user, and the heart rate sensor is used to detect heart rate data of the user. In this embodiment, the temperature sensor and/or the heart rate sensor and the related circuits thereof are embedded in the sensing underwear of the user, and the sensing configuration mode of arranging the sensor in the underwear ensures the measurement accuracy of body temperature data, heart rate data and the like and the wearing comfort.
Further, the sensor may perform data transmission with the smart watch through a Wireless transmission manner such as bluetooth, Wireless-Fidelity (Wi-Fi), infrared, and the like. The transmission method of the present invention is not limited to the wireless transmission method described above, and may include, for example, a wired transmission method such as network cable transmission and optical fiber transmission.
In this embodiment, the physiological data of the user is not limited to the body temperature data and/or the heart rate data, for example, respiratory rate data, blood oxygen saturation data, and the like may also be included, and the present invention is not limited thereto.
120: and acquiring the motion data of the user detected by the second sensor, wherein the motion data is the motion parameters detected when the user is in a motion state.
In the embodiment of the invention, the terminal device acquires the motion data of the user detected by the second sensor arranged in the terminal device, wherein the motion data is the motion parameter detected when the user is in a motion state.
Specifically, the second sensor may include, but is not limited to, an inertial sensor, an acceleration sensor, a displacement sensor, and the like, and preferably, the second sensor is an inertial sensor. The exercise data is an exercise parameter, such as the number of exercise steps, exercise time, calories burned, etc., detected while the user is in an exercise state. Furthermore, the movement data can be displayed through the display screen, so that the user can know the movement condition of the user in time and make corresponding adjustment.
130: an exercise health assessment is performed on the user based on the physiological data and the exercise data.
In an embodiment of the invention, the terminal device can evaluate the movement condition and the health condition of the user based on the physiological data detected by the at least one first sensor and the movement data detected by the second sensor.
Specifically, the terminal device may evaluate the exercise condition and the health condition of the user based on the data detected by the temperature sensor and the motion sensor, may also evaluate the exercise condition and the health condition of the user based on the data detected by the temperature sensor, the heart rate sensor, and the motion sensor, or may also evaluate the exercise condition and the health condition of the user based on the data detected by the heart rate sensor and the motion sensor, which is not limited in the present invention.
Here, how the terminal device evaluates the exercise condition and health condition of the user based on the physiological data and the exercise data is described, taking a combination of the temperature sensor and the exercise sensor as an example.
The terminal device first determines a motion state of a user based on motion data detected by an inertial sensor provided in the terminal device, where the motion state includes a motion state and a non-motion state. Then, when the motion state is determined to be the motion state, the terminal equipment calculates the body temperature difference value between body temperature data acquired from a temperature sensor embedded in underwear and reasonable body temperature data, and if the body temperature difference value is greater than or equal to 0.3 ℃ and less than 0.8 ℃, a first motion suggestion comprising a rest prompt is generated; and if the body temperature difference value is greater than or equal to 0.8 ℃ and less than 1.5 ℃, generating a first exercise suggestion comprising an exercise hyperthermia overtemperature reminder. Further, when the movement state is determined to be a non-movement state, the terminal device calculates a body temperature difference value between the body temperature data and the reasonable body temperature data, and if the body temperature difference value is greater than or equal to 1.5 ℃, a first movement suggestion comprising a body temperature abnormity prompt is generated; here, the reasonable body temperature may be preset body temperature data, or may be a reasonable body temperature calculated based on a formula, which is not limited in the present invention.
According to the technical scheme provided by the embodiment of the invention, the physiological data of the user detected by at least one first sensor embedded in the underwear of the user is received; acquiring motion data of the user detected by a second sensor, wherein the motion data is a motion parameter detected when the user is in a motion state; and the exercise health assessment is carried out on the user based on the physiological data and the exercise data, the wearing comfort and the measurement accuracy are improved, the cooperative measurement among the sensors is realized, and therefore, scientific and reasonable exercise health suggestions are provided.
In another embodiment of the present invention, the at least one first sensor comprises a temperature sensor, the physiological data comprises body temperature data, and the exercise health assessment of the user based on the physiological data and the exercise data comprises: and judging whether the exercise amount of the user reaches the preset exercise amount or not based on the body temperature data and the exercise data, and generating a first exercise suggestion based on the judgment result.
Specifically, when the user is in the in-motion state, the body temperature of the user gradually increases with the increase of the motion amount, so that the current motion state of the user can be judged based on the body temperature data and the motion data, and whether the current motion amount of the user reaches the preset motion amount is further judged. If the current amount of exercise of the user does not reach the preset amount of exercise, sending a message prompt of 'the amount of exercise does not reach the standard and please continue to exercise' to the user; if the current amount of exercise of the user reaches the preset amount of exercise, sending a message prompt of 'the amount of exercise is up to the standard, please rest or continue to exercise in a proper amount' to the user; and if the current amount of exercise of the user exceeds the preset amount of exercise, sending a message prompt of 'the amount of exercise exceeds the standard and please pay attention to proper amount of exercise or rest' to the user.
In another embodiment of the present invention, the determining whether the user's quantity of motion reaches a preset quantity of motion based on the body temperature data and the motion data, and generating a first motion recommendation based on the determination result includes: determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state; and generating a first exercise recommendation based on the body temperature data if the exercise state is an in-exercise state.
Specifically, the terminal device first determines whether the user is in a state of motion or a state of non-motion based on the motion data; then, when the user is determined to be in the motion state, the terminal equipment calculates the body temperature difference value between the body temperature data of the user and the reasonable body temperature data, and if the body temperature difference value is greater than or equal to 0.3 ℃ and less than 0.8 ℃, a message prompt of 'please rest' is sent out; if the body temperature difference is greater than or equal to 0.8 ℃ and less than 1.5 ℃, sending out a message prompt of 'excessive temperature rise in exercise, please pay attention to proper amount of exercise or rest'; further, when the exercise state is a non-exercise state, if the body temperature difference is greater than or equal to 1.5 degrees centigrade, a message of "body temperature abnormality" is sent out, wherein the body temperature abnormality may be caused by fever or physiological cycle of the user.
In another embodiment of the present invention, the at least one first sensor further comprises a heart rate sensor, the physiological data further comprises heart rate data, and the exercise health assessment of the user based on the physiological data and the exercise data further comprises: determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state; calculating a body temperature difference value between the body temperature data and the reasonable body temperature data, and controlling a heart rate sensor embedded in underwear of a user to detect the heart rate data when the motion state is a motion state and the body temperature difference value is greater than or equal to 0.2 ℃ and less than 1.5 ℃; receiving heart rate data detected by a heart rate sensor; and performing an exercise health assessment for the user based on the heart rate data.
Specifically, when the user is in the in-motion state, the heart rate of the user is gradually increased along with the increase of the motion amount, so the exercise condition and the health condition of the user can be further evaluated based on the body temperature data and the exercise data. That is, when the exercise state is an in-exercise state and the body temperature difference is greater than or equal to 0.2 degrees celsius and less than 1.5 degrees celsius, the terminal device controls the heart rate sensor embedded in the underwear of the user to detect the heart rate data; after heart rate data detected by a heart rate sensor is received, the heart rate data is compared with first preset heart rate data, and if the heart rate data is larger than or equal to 90% of the first preset heart rate data and the body temperature difference value is larger than or equal to 0.2 ℃, a message of 'please rest' is sent out for reminding; and if the heart rate data is greater than or equal to the first preset heart rate data and the body temperature difference value is greater than or equal to 0.3 ℃, sending a message prompt of 'overhigh heart rate and please rest'.
In another embodiment of the present invention, the at least one first sensor comprises a heart rate sensor, the physiological data comprises heart rate data, and the exercise health assessment of the user based on the physiological data and the exercise data comprises: and judging whether the exercise amount of the user reaches the preset exercise amount or not based on the heart rate data and the exercise data, and generating a third exercise suggestion based on the judgment result.
Specifically, when the user is in the exercise state, the heart rate of the user gradually increases with the increase of the exercise amount, so that the current exercise state of the user can be determined based on the heart rate data and the exercise data, and whether the current exercise amount of the user reaches the preset exercise amount is further determined. If the current amount of exercise of the user does not reach the preset amount of exercise, sending a message prompt of 'the amount of exercise does not reach the standard and please continue to exercise' to the user; if the current amount of exercise of the user reaches the preset amount of exercise, sending a message prompt of 'the amount of exercise is up to the standard, please rest or continue to exercise in a proper amount' to the user; and if the current amount of exercise of the user exceeds the preset amount of exercise, sending a message prompt of 'the amount of exercise exceeds the standard and please pay attention to proper amount of exercise or rest' to the user.
In another embodiment of the present invention, determining whether the user's quantity of motion reaches a preset quantity of motion based on the heart rate data and the motion data, and generating a third motion recommendation based on the determination result includes: determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state; and generating a third athletic recommendation based on the heart rate data if the athletic state is an in-motion state.
Specifically, the terminal device first determines whether the user is in a state of motion or a state of non-motion based on the motion data; then, when the user is determined to be in the motion state, comparing the heart rate data with first preset heart rate data; if the heart rate data is greater than or equal to the first preset heart rate data and less than or equal to the second preset heart rate data, sending a message prompt of 'please rest'; and if the heart rate data is larger than the second preset heart rate data, sending out a message prompt of 'heart rate abnormity'. Here, the first preset heart rate data is the maximum heart rate; the second preset heart rate data is the maximum heart rate plus 10. Further, when it is determined that the user is in a non-exercise state, comparing the heart rate data with third preset heart rate data; and if the heart rate data is greater than or equal to third preset heart rate data, sending out a message prompt of 'abnormal heart rate', wherein the third preset heart rate data is the heart rate added with 20 in the historical resting time, and the heart rate in the historical resting time is the average value of the non-reminded resting heart rates in the previous month of the user. Further, if the recording time is insufficient, calculation is performed based on the existing records; if no record is made, the historical resting heart rate is set to 70.
Fig. 2 is a flowchart illustrating an exercise health assessment method according to another exemplary embodiment of the present invention. As shown in fig. 2, the method includes:
210: body temperature data of a user detected by a body temperature sensor embedded in the user's undergarment is received.
220: and acquiring the motion data of the user, wherein the motion data is the motion parameters detected when the user is in a motion state.
230: it is determined whether the motion state of the user is an in-motion state based on the motion data. If the user's motion state is in motion 240 is performed, otherwise 250 is performed.
240: and sending a rest prompt or an exercise over-temperature prompt based on the body temperature data.
250: and sending out a body temperature abnormity prompt based on the body temperature data.
According to the technical scheme provided by the embodiment of the invention, the body temperature data of the user detected by the body temperature sensor and the movement data of the user detected by the inertial sensor are combined and comprehensively analyzed, so that the cooperative measurement among the sensors is realized, and scientific and reasonable movement health suggestions are provided.
Fig. 3 is a flowchart illustrating an exercise health assessment method according to another exemplary embodiment of the present invention. As shown in fig. 3, the method includes:
310: body temperature data of a user detected by a body temperature sensor embedded in the user's undergarment and heart rate data of the user detected by a heart rate sensor are received.
320: and acquiring the motion data of the user, wherein the motion data is the motion parameters detected when the user is in a motion state.
330: it is determined whether the motion state of the user is an in-motion state based on the motion data. If the user's motion state is in motion, 340 through 360 are performed, otherwise 370 is performed.
340: and controlling a heart rate sensor to detect the heart rate data of the user based on the body temperature data.
350: heart rate data of a user detected by a heart rate sensor is received.
360: and comparing the heart rate data with the first preset heart rate data and the second preset heart rate data, and sending a rest prompt or a too high heart rate prompt based on the comparison result.
370: and comparing the heart rate data with third preset heart rate data, and sending out abnormal heart rate reminding based on the comparison result.
According to the technical scheme provided by the embodiment of the invention, the body temperature data and the heart rate data of the user detected by the body temperature sensor and the heart rate sensor are combined with the motion data of the user detected by the inertial sensor and are comprehensively analyzed, so that the cooperative measurement among the sensors is realized, and scientific and reasonable exercise health suggestions are provided.
Fig. 4 is a flowchart illustrating an exercise health assessment method according to another exemplary embodiment of the present invention. As shown in fig. 4, the method includes:
410: heart rate data of a user detected by a heart rate sensor embedded in the user's undergarment is received.
420: and acquiring the motion data of the user, wherein the motion data is the motion parameters detected when the user is in a motion state.
430: it is determined whether the motion state of the user is an in-motion state based on the motion data. If the user's motion state is in motion, 440 is performed, otherwise 450 is performed.
440: and sending a rest prompt or a too high heart rate prompt based on the heart rate data.
450: and sending out abnormal heart rate reminding based on the body temperature data.
According to the technical scheme provided by the embodiment of the invention, the heart rate data of the user detected by the heart rate sensor and the motion data of the user detected by the inertial sensor are combined and comprehensively analyzed, so that the cooperative measurement among the sensors is realized, and scientific and reasonable exercise health advice is provided.
Fig. 5 is a block diagram illustrating a terminal device 500 according to an exemplary embodiment of the present invention. As shown in fig. 5, the terminal device 500 includes:
a receiving module 510 for receiving physiological data of a user detected by at least one first sensor embedded in underwear of the user;
an obtaining module 520, configured to obtain motion data of the user detected by the second sensor, where the motion data is a motion parameter detected when the user is in a motion state; and
an evaluation module 530 for performing an exercise health evaluation for the user based on the physiological data and the exercise data.
According to the technical scheme provided by the embodiment of the invention, the physiological data of the user detected by at least one first sensor embedded in the underwear of the user is received; acquiring motion data of the user detected by a second sensor, wherein the motion data is a motion parameter detected when the user is in a motion state; and the exercise health assessment is carried out on the user based on the physiological data and the exercise data, the wearing comfort and the measurement accuracy are improved, the cooperative measurement among the sensors is realized, and therefore, scientific and reasonable exercise health suggestions are provided.
In another embodiment of the present invention, the at least one first sensor includes a temperature sensor, the physiological data includes body temperature data, and the evaluation module 530 determines whether the amount of movement of the user reaches a preset amount of movement based on the body temperature data and the movement data, and generates the first movement recommendation based on the determination result.
Specifically, the evaluation module 530 determines an exercise state of the user based on the exercise data, the exercise state including an in-exercise state and a non-in-exercise state, and generates a first exercise recommendation based on the body temperature data when the exercise state is the in-exercise state.
For example, the evaluation module 530 calculates a body temperature difference value between the body temperature data and the reasonable body temperature data, and generates a first exercise suggestion when the body temperature difference value is greater than or equal to 0.3 ℃ and less than 0.8 ℃, where the first exercise suggestion includes a rest reminder; or when the body temperature difference value is greater than or equal to 0.8 ℃ and less than 1.5 ℃, generating a first exercise suggestion, wherein the first exercise suggestion comprises an exercise temperature rise excess prompt.
Optionally, as another embodiment, the evaluation module 530 further generates the first exercise recommendation based on the body temperature data when the exercise state is the non-exercise state.
For example, the assessment module 530 calculates a body temperature difference between the body temperature data and the reasonable body temperature data, and generates a first exercise recommendation when the body temperature difference is greater than or equal to 1.5 degrees celsius, the first exercise recommendation including a body temperature abnormality reminder.
In another embodiment of the present invention, the at least one first sensor further comprises a heart rate sensor, the physiological data further comprises heart rate data, the evaluation module 530 further determines an exercise state of the user based on the exercise data, the exercise state comprising an in-exercise state and a non-in-exercise state; calculating a body temperature difference value between the body temperature data and the reasonable body temperature data, and controlling a heart rate sensor embedded in an underwear body of a user to detect the heart rate data when the exercise state is an exercise state and the body temperature difference value is greater than or equal to 0.2 ℃ and less than 1.5 ℃; receiving heart rate data detected by a heart rate sensor; and performing an exercise health assessment for the user based on the heart rate data.
In particular, the assessment module 530 compares the heart rate data to a first preset heart rate data and generates a second athletic recommendation based on the comparison.
For example, the evaluation module 530 generates a second exercise recommendation when the heart rate data is greater than or equal to 90% of the first preset heart rate data and the body temperature difference value is greater than or equal to 0.2 degrees celsius, the second exercise recommendation including a rest reminder; or when the heart rate data is larger than or equal to the first preset heart rate data and the body temperature difference value is larger than or equal to 0.3 ℃, generating a second exercise suggestion, wherein the second exercise suggestion comprises a heart rate overhigh reminder.
In another embodiment of the present invention, the at least one first sensor includes a heart rate sensor, the physiological data includes heart rate data, the evaluation module 530 determines whether the amount of exercise of the user reaches a preset amount of exercise based on the heart rate data and the exercise data, and generates the third exercise suggestion based on the determination result.
In particular, the evaluation module 530 determines an exercise state of the user based on the exercise data, the exercise state including an in-exercise state and a non-in-exercise state, and generates a third exercise recommendation based on the heart rate data when the exercise state is the in-exercise state.
For example, the evaluation module 530 compares the heart rate data with a first preset heart rate data and a second preset heart rate data, and generates a third exercise suggestion when the heart rate data is greater than or equal to the first preset heart rate data and less than or equal to the second preset heart rate data, the third exercise suggestion including a rest reminder; or when the heart rate data is larger than the second preset heart rate data, generating a third exercise suggestion, wherein the third exercise suggestion comprises a heart rate overhigh reminder.
Optionally, as another embodiment, the evaluation module 530 further generates a third exercise recommendation based on the heart rate data when the exercise state is a non-exercise state.
For example, the assessment module 530 compares the heart rate data to a third preset heart rate data and generates a third athletic recommendation when the heart rate data is greater than or equal to the third preset heart rate data, the third athletic recommendation including an abnormal heart rate alert.
The operations and functions of the modules of the terminal device 500 may refer to the method of fig. 1, and are not described herein again to avoid repetition.
An embodiment of the present invention further provides an exercise health assessment system, including: an undergarment; and a terminal device as described in figure 5.
Fig. 6 is a block diagram illustrating an apparatus 600 for athletic health assessment in accordance with an exemplary embodiment of the present invention.
Referring to fig. 6, the apparatus 600 includes a processing component 610 that further includes one or more processors and memory resources, represented by memory 620, for storing instructions, such as applications, that are executable by the processing component 610. The application programs stored in memory 620 may include one or more modules that each correspond to a set of instructions. Further, the processing component 610 is configured to execute instructions to perform the exercise health assessment method described above.
The apparatus 600 may also include a power supply component configured to perform power management of the apparatus 600, a wired or wireless network interface configured to connect the apparatus 600 to a network, and an input output (I/O) interface. The device 600 may operate based on an operating system stored in the memory 620, such as Android, FreeRTOS, μ c linux, μ cos or the like.
A non-transitory computer readable storage medium having instructions stored thereon that, when executed by a processor of the apparatus 600, enable the apparatus 600 to perform a method of athletic health assessment, comprising: receiving physiological data of a user detected by at least one first sensor embedded in the user's undergarment; acquiring motion data of the user detected by a second sensor, wherein the motion data is a motion parameter detected when the user is in a motion state; and performing an exercise health assessment for the user based on the physiological data and the exercise data.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
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.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program check codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (15)
1. A terminal device, comprising:
a receiving module for receiving physiological data of a user detected by at least one first sensor embedded in the user's undergarment;
the acquisition module is used for acquiring the motion data of the user, which is detected by the second sensor, wherein the motion data is a motion parameter detected when the user is in a motion state; and
an evaluation module to perform an exercise health evaluation for the user based on the physiological data and the exercise data.
2. The terminal device of claim 1, wherein the at least one first sensor comprises a temperature sensor, wherein the physiological data comprises body temperature data, wherein the evaluation module determines a motion state of the user based on the motion data, wherein the motion state comprises an in-motion state and a non-in-motion state, and wherein the evaluation module generates the first motion recommendation based on the body temperature data if the motion state is the in-motion state.
3. The terminal device of claim 2, wherein the assessment module calculates a body temperature difference between the body temperature data and rational body temperature data, and if the body temperature difference is greater than or equal to 0.3 degrees celsius and less than 0.8 degrees celsius, the assessment module generates the first athletic advice, the first athletic advice including a rest reminder; or if the body temperature difference value is greater than or equal to 0.8 ℃ and less than 1.5 ℃, the evaluation module generates the first exercise suggestion, and the first exercise suggestion comprises an exercise temperature rise excess prompt.
4. The terminal device of claim 2, wherein the assessment module calculates a body temperature difference between the body temperature data and rational body temperature data, and wherein the assessment module generates the first athletic recommendation if the body temperature difference is greater than or equal to 1.5 degrees celsius, the first athletic recommendation including a body temperature abnormality reminder.
5. The terminal device of claim 2, wherein the at least one first sensor further comprises a heart rate sensor, the physiological data further comprises heart rate data, the evaluation module determines an exercise state of the user based on the exercise data, the exercise state comprises an in-exercise state and a non-in-exercise state, calculates a body temperature difference of the body temperature data and rational body temperature data, and controls the heart rate sensor embedded in the user's undergarment to detect the heart rate data when the exercise state is the in-exercise state and the body temperature difference is greater than or equal to 0.2 degrees celsius and less than 1.5 degrees celsius, receives the heart rate data detected by the heart rate sensor, and performs an exercise health evaluation on the user based on the heart rate data.
6. The terminal device of claim 5, wherein the assessment module compares the heart rate data with a first preset heart rate data, and if the heart rate data is greater than or equal to 90% of the first preset heart rate data and the body temperature difference value is greater than or equal to 0.2 degrees Celsius, the assessment module generates the second exercise recommendation, wherein the second exercise recommendation comprises a rest reminder; or if the heart rate data is larger than or equal to the first preset heart rate data and the body temperature difference value is larger than or equal to 0.3 ℃, the evaluation module generates the second exercise suggestion, and the second exercise suggestion comprises a heart rate overhigh reminder.
7. The terminal device of claim 1, wherein the at least one first sensor comprises a heart rate sensor, wherein the physiological data comprises heart rate data, wherein the evaluation module determines a motion state of the user based on the motion data, wherein the motion state comprises an in-motion state and a non-in-motion state, and wherein the evaluation module generates the third athletic recommendation based on the heart rate data if the motion state is the in-motion state.
8. The terminal device of claim 7, wherein the assessment module compares the heart rate data to first and second preset heart rate data, and if the heart rate data is greater than or equal to the first preset heart rate data and less than or equal to the second preset heart rate data, the assessment module generates the third athletic recommendation, the third athletic recommendation including a rest reminder; or, if the heart rate data is greater than the second preset heart rate data, the evaluation module generates the third exercise suggestion, and the third exercise suggestion includes a heart rate overhigh reminder.
9. The terminal device of claim 7, wherein the assessment module compares the heart rate data to third preset heart rate data if the athletic state is the non-athletic state, and wherein the assessment module generates the third athletic recommendation if the heart rate data is greater than or equal to the third preset heart rate data, the third athletic recommendation including an abnormal heart rate alert.
10. An athletic health assessment system, comprising:
an undergarment; and
the terminal device of any one of claims 1 to 9.
11. An exercise health assessment method, comprising:
receiving physiological data of a user detected by at least one first sensor embedded in the user's undergarment;
acquiring motion data of the user, which is detected by a second sensor, wherein the motion data is a motion parameter detected when the user is in a motion state; and
performing an exercise health assessment for the user based on the physiological data and the exercise data.
12. The method of claim 11, wherein the at least one first sensor comprises a temperature sensor, the physiological data comprises body temperature data, and the performing an athletic health assessment of the user based on the physiological data and the athletic data comprises:
determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state; and
generating the first exercise recommendation based on the body temperature data if the exercise state is the in-exercise state.
13. The method of claim 12, wherein generating the first movement recommendation based on the body temperature data comprises:
calculating the body temperature difference value between the body temperature data and the reasonable body temperature data; and
if the body temperature difference value is greater than or equal to 0.3 ℃ and less than 0.8 ℃, generating the first exercise suggestion, wherein the first exercise suggestion comprises a rest prompt; or,
and if the body temperature difference value is greater than or equal to 0.8 ℃ and less than 1.5 ℃, generating the first exercise suggestion, wherein the first exercise suggestion comprises exercise temperature rise excess reminding.
14. The method of claim 12, wherein the at least one first sensor further comprises a heart rate sensor, the physiological data further comprises heart rate data, and the performing an athletic health assessment of the user based on the physiological data and the athletic data further comprises:
determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state;
calculating a body temperature difference value between the body temperature data and reasonable body temperature data, and controlling the heart rate sensor embedded in the underwear of the user to detect the heart rate data when the exercise state is the in-exercise state and the body temperature difference value is greater than or equal to 0.2 ℃ and less than 1.5 ℃;
receiving the heart rate data detected by the heart rate sensor; and
performing an exercise health assessment for the user based on the heart rate data.
15. The method of claim 11, wherein the at least one first sensor comprises a heart rate sensor, the physiological data comprises heart rate data, and the performing the athletic health assessment of the user based on the physiological data and the athletic data comprises:
determining a motion state of the user based on the motion data, the motion state including an in-motion state and a non-in-motion state; and
generating the third athletic recommendation based on the heart rate data if the athletic state is the in-motion state.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113658695A (en) * | 2021-07-20 | 2021-11-16 | 芯海科技（深圳）股份有限公司 | Body-building exercise data monitoring method and system and computer readable storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105496428A (en) * | 2015-12-14 | 2016-04-20 | 北京奇虎科技有限公司 | Wearable device control implementation method and device |
| CN105814518A (en) * | 2015-09-23 | 2016-07-27 | 深圳还是威健康科技有限公司 | Information processing method and smart bracelet |
| CN106267780A (en) * | 2016-08-31 | 2017-01-04 | 广东小天才科技有限公司 | Exercise reminding method and device |
| CN106690446A (en) * | 2016-11-24 | 2017-05-24 | 东华大学 | Multifunctional smart sports bra |
| CN107550475A (en) * | 2017-07-31 | 2018-01-09 | 深圳真时科技有限公司 | A kind of method, apparatus and wearable device for monitoring human heart rate |
-
2018
- 2018-03-29 CN CN201810271560.9A patent/CN108492879A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105814518A (en) * | 2015-09-23 | 2016-07-27 | 深圳还是威健康科技有限公司 | Information processing method and smart bracelet |
| CN105496428A (en) * | 2015-12-14 | 2016-04-20 | 北京奇虎科技有限公司 | Wearable device control implementation method and device |
| CN106267780A (en) * | 2016-08-31 | 2017-01-04 | 广东小天才科技有限公司 | Exercise reminding method and device |
| CN106690446A (en) * | 2016-11-24 | 2017-05-24 | 东华大学 | Multifunctional smart sports bra |
| CN107550475A (en) * | 2017-07-31 | 2018-01-09 | 深圳真时科技有限公司 | A kind of method, apparatus and wearable device for monitoring human heart rate |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113658695A (en) * | 2021-07-20 | 2021-11-16 | 芯海科技（深圳）股份有限公司 | Body-building exercise data monitoring method and system and computer readable storage medium |
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