CN111159567A - Intelligent wardrobe clothes recommendation method and system and storage medium - Google Patents
Intelligent wardrobe clothes recommendation method and system and storage medium Download PDFInfo
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- 230000035790 physiological processes and functions Effects 0.000 claims abstract description 46
- 230000001932 seasonal effect Effects 0.000 claims abstract description 10
- 230000036760 body temperature Effects 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012806 monitoring device Methods 0.000 claims description 6
- 230000007306 turnover Effects 0.000 claims description 5
- 230000002194 synthesizing effect Effects 0.000 claims description 3
- 230000037081 physical activity Effects 0.000 claims 1
- 230000036541 health Effects 0.000 abstract description 4
- 230000000694 effects Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 208000013738 Sleep Initiation and Maintenance disease Diseases 0.000 description 3
- 239000003086 colorant Substances 0.000 description 3
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- 238000010586 diagram Methods 0.000 description 3
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- 238000012360 testing method Methods 0.000 description 3
- 206010037660 Pyrexia Diseases 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 229920000742 Cotton Polymers 0.000 description 1
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Abstract
The method comprises the steps of obtaining physiological state parameters of a service object and weather information of a predicted dressing time period; acquiring related information of clothes in a wardrobe body, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes; and determining a clothes matching scheme matched with the physiological state parameters of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and displaying the clothes matching scheme to the service object. The method and the system can judge the physical condition and the weather condition of the service object on the basis of acquiring the physiological state parameters of the service object and the weather information of the expected dressing time period, and then give a recommendation scheme for dressing clothes. The health of the service object is guaranteed, the time for selecting clothes is saved for the service object, and the efficiency is improved.
Description
Technical Field
The disclosure relates to the technical field of smart home, in particular to a method and a system for recommending clothes in an intelligent wardrobe and a storage medium.
Background
People's sleep in daily life, go on a journey, dress all are the activities that separate each other, and the weather turns to cold suddenly the user and does not foresee in advance many times, has worn single thin clothes and has gone out to find improper again the clothes of changing home after going home, influences user mood and experience. In addition, sometimes people feel insomnia at night to cause weakness or feel cold during sleeping to cause discomfort, and people should wear proper clothes to keep warm in the next morning, but in many cases people do not pay attention to the weakness, so that the condition is aggravated after going out.
A wardrobe is necessary for home, but generally, the wardrobe only has a function of storing articles. The most contact of the user with the wardrobe is the simple act of opening and closing the door to take clothes.
Currently, there is a lack of a method and system for performing clothes recommendation by comprehensively considering the sleep state, physiological state and weather condition of a user.
Disclosure of Invention
In order to solve the problems, the present disclosure provides an intelligent wardrobe clothing recommendation method, system and storage medium.
In a first aspect, the present disclosure provides an intelligent wardrobe clothes recommendation method, including:
acquiring physiological state parameters of a service object and weather information of a predicted dressing time period;
acquiring related information of clothes in a wardrobe body, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes;
and determining a clothes matching scheme matched with the physiological state parameters of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and displaying the clothes matching scheme to the service object.
According to an embodiment of the disclosure, optionally, in the method for recommending clothes to an intelligent wardrobe, the physiological state parameters of the service object include physiological data and body movement data of the service object during sleep.
According to an embodiment of the present disclosure, optionally, in the method for recommending clothes to an intelligent wardrobe, the step of determining a clothes matching scheme matching the physiological state parameter of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body includes:
obtaining recommended clothes types matched with the physiological state parameters of the service object and the weather information of the predicted dressing time period in corresponding seasons according to the physiological state parameters of the service object and the weather information of the predicted dressing time period;
and finding clothes corresponding to the recommended clothes type in the wardrobe body according to the clothes type in the wardrobe body to form a clothes matching scheme.
According to an embodiment of the disclosure, optionally, in the method for recommending clothes to an intelligent wardrobe, the step of displaying the clothes matching scheme to the service object includes:
acquiring an image of the clothes matching scheme and an image of the service object;
and synthesizing and displaying the dressing preview image of the service object according to the image of the clothes matching scheme and the image of the service object.
According to an embodiment of the present disclosure, optionally, in the method for recommending clothes to an intelligent wardrobe, the related information of the clothes further includes a storage location of the clothes; after the step of presenting the clothing matching program to the service object, the method further comprises:
and when the clothes matching scheme is selected, outputting the clothes in the selected clothes matching scheme according to the storage positions of the clothes of the selected clothes matching scheme.
According to an embodiment of the present disclosure, optionally, in the method for recommending clothes to an intelligent wardrobe, the method further includes:
and when the clothes matching scheme is not selected, generating and displaying dressing attention prompt information according to the physiological state parameters of the service object and the weather information of the expected dressing time period.
According to an embodiment of the present disclosure, optionally, in the intelligent wardrobe clothes recommendation method,
the body movement data comprises turn-over times;
the physiological data includes body temperature and heart rate.
In a second aspect, the present disclosure provides an intelligent wardrobe clothing recommendation system, the system comprising: the wardrobe comprises a wardrobe body, a memory and a controller;
the memory stores a computer program which, when executed by the controller, performs the intelligent wardrobe clothes recommendation method according to any one of the first aspects.
According to an embodiment of the present disclosure, optionally, in the object recommendation system for an intelligent wardrobe, the system further includes:
the physiological state monitoring device is used for acquiring physiological state parameters of the service object;
the weather information acquisition device is used for acquiring weather information of a specified time period;
the image pickup device is used for acquiring an image of clothes in the wardrobe body and an image of the service object;
and the information display device is used for displaying the clothes collocation scheme to the service object.
In a third aspect, the present disclosure provides a storage medium storing a computer program which, when executed by one or more processors, implements the intelligent wardrobe clothing recommendation method according to any one of the first aspects.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the method comprises the steps of obtaining physiological state parameters of a service object and weather information of a predicted dressing time period; acquiring related information of clothes in a wardrobe body, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes; and determining a clothes matching scheme matched with the physiological state parameters of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and displaying the clothes matching scheme to the service object. The method and the system can judge the physical condition and the weather condition of the service object on the basis of acquiring the physiological state parameters of the service object and the weather information of the expected dressing time period, and then give a recommendation scheme for dressing clothes. The health of the service object is guaranteed, the time for selecting clothes is saved for the service object, and the efficiency is improved.
Drawings
The present disclosure will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings:
fig. 1 is a schematic flow chart of a clothes recommendation method for an intelligent wardrobe according to an embodiment of the present disclosure;
fig. 2 is another schematic flow chart of a clothes recommendation method for an intelligent wardrobe according to an embodiment of the present disclosure;
fig. 3 is a connection block diagram of an intelligent wardrobe clothes recommendation system provided by the embodiment of the disclosure.
In the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.
Detailed Description
Embodiments of the present disclosure will be described in detail with reference to the accompanying drawings and examples, so that how to apply technical means to solve technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and the features of the embodiments of the present disclosure can be combined with each other without conflict, and the formed technical solutions are all within the protection scope of the present disclosure.
Example one
Fig. 1 is a schematic flow diagram of a method for recommending clothes to an intelligent wardrobe according to an embodiment of the present disclosure, and referring to fig. 1, the present disclosure provides a method for recommending clothes to an intelligent wardrobe, including:
step S101: and acquiring the physiological state parameters of the service object and the weather information of the expected dressing time period.
Specifically, step S101 includes: the physiological state parameters of the service object are obtained through the sensor, and weather information of the expected dressing time period is obtained through the positioning device and the communication device.
The physiological state parameters of the service object comprise physiological data and body movement data of the service object during sleep, the body movement data comprise turn-over times, and the physiological data comprise body temperature and heart rate.
The turning times are obtained by testing a pressure sensor, and the pressure sensor can be arranged on a mattress or a pillow. Whether the service object has insomnia in the sleep period can be obtained according to the turnover times of the service object in the sleep period, and if the pressure measured by the pressure sensor is too large and the turnover times are too many, the service object is possibly belly-pulled. The service target can be obtained through the data of the body temperature and the heart rate whether to have uncomfortable conditions such as coolness, fever and the like, and the conditions such as seasons, temperature rise and fall, wind power, rainfall and snowfall and the like are obtained by combining the weather information of the predicted dressing time period, so that the appropriate clothing recommendation is carried out.
The heart rate is obtained through the heart rate sensor test, the heart rate sensor can set up on mobile bracelet or other mobile terminal. Body temperature obtains through the body temperature sensor test, body temperature sensor can set up on removing bracelet or pillow. The weather information obtains the current geographic position of the service object through the positioning device, and then obtains the weather information of the geographic position through the communication device.
Step S102: and acquiring related information of clothes in the wardrobe body, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes.
The related information of the clothes comprises seasonal attributes of the clothes and types (such as shirts, T-shirts, down coats, jeans, sport pants, longuets and the like), thicknesses (such as thin and thick), colors and storage positions of the clothes, and the related information of the clothes can be obtained through identification information such as labels on the clothes, and can also be obtained through a user input system before the clothes are stored in the wardrobe.
Step S103: and determining a clothes matching scheme matched with the physiological state parameters of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and displaying the clothes matching scheme to the service object.
Specifically, in step S103, the step of determining a clothes matching scheme matching the physiological state parameter of the service object and the weather information of the expected dressing time period according to the related information of the clothes in the wardrobe body includes the following steps:
obtaining recommended clothes types matched with the physiological state parameters of the service object and the weather information of the predicted dressing time period in corresponding seasons according to the physiological state parameters of the service object and the weather information of the predicted dressing time period;
and finding clothes corresponding to the recommended clothes type in the wardrobe body according to the clothes type in the wardrobe body to form a clothes matching scheme.
In step S103, the step of displaying the clothing matching plan to the service object includes the following steps:
acquiring an image of the clothes matching scheme and an image of the service object;
and synthesizing and displaying the dressing preview image of the service object according to the image of the clothes matching scheme and the image of the service object.
The clothes matching scheme is matched with the physiological state parameters of the service object and the weather information of the estimated clothes wearing time period, the clothes matching scheme is obtained after the sleeping condition, the physical state and the weather of the service object are comprehensively considered, appropriate clothes can be recommended for the user, and the health problem of the user is guaranteed. Illustratively, if the service object suffers from insomnia at night and causes physical weakness and the current body has a fever, the clothes matching scheme is a combination of long sleeves (such as a sanitary, a shirt, etc.), a thin coat and trousers suitable for spring and autumn seasons if the current weather condition is 20 ℃, and a combination of a sweater, a down jacket and cotton trousers suitable for winter if the current weather condition is 10 ℃; if the service object has enough sleep at night and the current body has no problem, all the things are normal, clothes matching is carried out according to the weather, if the current weather condition is 20 ℃, the clothes matching scheme is the combination of long sleeves (such as a sanitary garment, a shirt and the like) and trousers suitable for spring and autumn, and if the current weather condition is 10 ℃, the clothes matching scheme is the combination of sweaters (or shirts), woolen coats and trousers suitable for winter. If the wind blows out, a windproof coat is recommended, light-colored clothes are recommended in summer, dark-colored clothes are recommended in winter, and trousers with proper colors are recommended for coats with certain colors for matching.
Specifically, the image of the clothes and the image of the service object of the clothes matching scheme are acquired by a camera device, and in order to enable the images of the service object and the clothes to be presented in a ratio of 1:1, the service object is photographed only when the distance between the service object and the camera is a preset distance.
Specifically, the dressing preview image is displayed through an information display device (such as a display screen), and the service object can check collocation on the information display device and can check the effect of the service object after the service object wears recommended clothes.
It should be noted that, in this embodiment, more than one recommended clothes matching scheme is provided, and two or more matching schemes are recommended for the service object to select, and the service object may view the upper body effect on the information display device and then select a favorite matching scheme. The service object does not need to take out a set of clothes for trying on, so that the time is saved, and the efficiency is improved.
Step S104: and when the clothes matching scheme is selected, outputting the clothes in the selected clothes matching scheme according to the storage positions of the clothes of the selected clothes matching scheme.
Specifically, the service object can be selected according to personal preference, and when the service object selects the recommended clothes matching scheme, the wardrobe can automatically output clothes in the selected clothes matching scheme, so that the service object can obtain the clothes in the clothes matching scheme.
Step S105: and when the clothes matching scheme is not selected, generating and displaying dressing attention prompt information according to the physiological state parameters of the service object and the weather information of the expected dressing time period.
Specifically, when the recommended clothes matching scheme service objects do not like, that is, the user does not select the recommended clothes matching scheme, the display screen can remind the service object of matters needing attention for wearing clothes at present, such as matters of 'your body is locked, the clothes are easily affected by wind cold', 'how much the clothes are cooled down today', 'the temperature of today can rise' or 'the clothes are cloudy today', and then the service object can open a wardrobe to select the clothes by oneself according to the needs of the service object.
Fig. 2 is another schematic flow chart of a method for recommending clothes to an intelligent wardrobe according to an embodiment of the present disclosure, and please refer to fig. 2, the embodiment further provides another schematic flow chart of the method for recommending clothes to the intelligent wardrobe.
The method comprises the steps of obtaining physiological state parameters of a service object and weather information of a predicted dressing time period; acquiring related information of clothes in a wardrobe body, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes; and determining a clothes matching scheme matched with the physiological state parameters of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and displaying the clothes matching scheme to the service object. The method and the system can judge the physical condition and the weather condition of the service object on the basis of acquiring the physiological state parameters of the service object and the weather information of the expected dressing time period, and then give a recommendation scheme for dressing clothes. The health of the service object is guaranteed, the time for selecting clothes is saved for the service object, and the efficiency is improved.
Example two
Fig. 3 is a connection block diagram of an intelligent wardrobe clothes recommendation system according to an embodiment of the disclosure, and referring to fig. 3, the embodiment provides an intelligent wardrobe clothes recommendation system 100, which includes a memory 101, a controller 102, a wardrobe body 103, a physiological status monitoring device 104, a weather information obtaining device 105, a camera device 106, and an information display device 107.
The memory 101 stores thereon a computer program which, when executed by the controller 102, implements the intelligent wardrobe clothes recommendation method as described in the first embodiment.
The controller 102 is configured to perform all or part of the steps of the intelligent wardrobe clothes recommendation method according to the first embodiment. The memory 101 is used to store various types of data, which may include, for example, instructions for any application or method in the garment recommendation system, as well as application-related data.
The Memory 101 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
The controller 102 may be implemented by a controller, a microcontroller or other electronic components for executing the intelligent wardrobe clothes recommendation method described in the first embodiment.
The wardrobe body 103 is connected with the controller 102 and used for storing clothes;
the physiological state monitoring device 104 is connected with the controller 102 and is used for acquiring physiological state parameters of the service object;
a weather information acquiring device 105 connected to the controller 102 for acquiring weather information of a specified time period;
the camera device 106 is connected with the controller 102 and is used for acquiring an image of clothes in the wardrobe body and an image of a service object;
and the information display device 107 is connected with the controller 102 and is used for displaying the clothes matching scheme to the service object.
The physiological state monitoring device 104 acquires physiological state parameters of the service object, and the weather information acquiring device 105 acquires weather information of a predicted dressing time period; the controller 102 acquires related information of clothes in the wardrobe body 103, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes; the controller 102 determines a clothes matching scheme matched with the physiological state parameter of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and controls the information display device 107 to display the clothes matching scheme to the service object.
Specifically, the controller 102 controls the camera 106 to obtain the image of the clothes matching scheme and the image of the service object, and synthesizes and controls the information display device 107 to display the dressing preview image of the service object according to the image of the clothes matching scheme and the image of the service object.
The physiological status monitoring device 104 includes a pressure sensor disposed on a mattress or a pillow, a heart rate sensor and a body temperature sensor disposed on a mobile bracelet or other mobile terminals, so as to obtain physiological data and body movement data of the service object during sleep. The weather information acquisition means 105 includes a positioning means and a communication means to acquire weather information for a specified time period.
The specific embodiment of the method for performing clothes recommendation based on the above modules is described in detail in the first embodiment, and is not described herein again.
EXAMPLE III
The present embodiments also provide a computer readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., having stored thereon a computer program that when executed by a processor, performs the method steps of:
step S101: acquiring physiological state parameters of a service object and weather information of a predicted dressing time period;
step S102: acquiring related information of clothes in a wardrobe body, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes;
step S103: and determining a clothes matching scheme matched with the physiological state parameters of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and displaying the clothes matching scheme to the service object.
The specific embodiment process of the above method steps can be referred to as embodiment one, and the detailed description of this embodiment is not repeated herein.
In summary, the intelligent wardrobe clothes recommendation method, system and storage medium provided by the present disclosure include acquiring physiological state parameters of a service subject and weather information of a predicted dressing time period; acquiring related information of clothes in a wardrobe body, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes; and determining a clothes matching scheme matched with the physiological state parameters of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and displaying the clothes matching scheme to the service object. The method and the system can judge the physical condition and the weather condition of the service object on the basis of acquiring the physiological state parameters of the service object and the weather information of the expected dressing time period, and then give a recommendation scheme for dressing clothes. The health of the service object is guaranteed, the time for selecting clothes is saved for the service object, and the efficiency is improved.
In the several embodiments provided in the embodiments of the present disclosure, it should be understood that the disclosed system and method may be implemented in other manners. The system and method embodiments described above are merely illustrative.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although the embodiments disclosed in the present disclosure are described above, the descriptions are only for the convenience of understanding the present disclosure, and are not intended to limit the present disclosure. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.
Claims (10)
1. An intelligent wardrobe clothes recommendation method is characterized by comprising the following steps:
acquiring physiological state parameters of a service object and weather information of a predicted dressing time period;
acquiring related information of clothes in a wardrobe body, wherein the related information of the clothes comprises seasonal attributes of the clothes and types of the clothes;
and determining a clothes matching scheme matched with the physiological state parameters of the service object and the weather information of the predicted clothes wearing time period according to the related information of the clothes in the wardrobe body, and displaying the clothes matching scheme to the service object.
2. The method of claim 1, wherein the physiological state parameters of the service object include physiological data and physical activity data of the service object while sleeping.
3. The method of claim 1, wherein the step of determining a clothes matching scheme matching the physiological status parameter of the service object and the weather information of the expected dressing time period according to the related information of the clothes in the wardrobe body comprises:
obtaining recommended clothes types matched with the physiological state parameters of the service object and the weather information of the predicted dressing time period in corresponding seasons according to the physiological state parameters of the service object and the weather information of the predicted dressing time period;
and finding clothes corresponding to the recommended clothes type in the wardrobe body according to the clothes type in the wardrobe body to form a clothes matching scheme.
4. The method of claim 1, wherein the step of presenting the clothing matching program to the service object comprises:
acquiring an image of the clothes matching scheme and an image of the service object;
and synthesizing and displaying the dressing preview image of the service object according to the image of the clothes matching scheme and the image of the service object.
5. The method of claim 1, wherein the information related to the laundry further comprises a storage location of the laundry; after the step of presenting the clothing matching program to the service object, the method further comprises:
and when the clothes matching scheme is selected, outputting the clothes in the selected clothes matching scheme according to the storage positions of the clothes of the selected clothes matching scheme.
6. The method of claim 5, further comprising:
and when the clothes matching scheme is not selected, generating and displaying dressing attention prompt information according to the physiological state parameters of the service object and the weather information of the expected dressing time period.
7. The method of claim 2, wherein:
the body movement data comprises turn-over times;
the physiological data includes body temperature and heart rate.
8. An intelligent wardrobe clothing recommendation system, the system comprising: the wardrobe comprises a wardrobe body, a memory and a controller;
the memory has stored thereon a computer program which, when executed by the controller, performs the intelligent wardrobe clothing recommendation method of any one of claims 1 to 7.
9. The system of claim 8, further comprising:
the physiological state monitoring device is used for acquiring physiological state parameters of the service object;
the weather information acquisition device is used for acquiring weather information of a specified time period;
the image pickup device is used for acquiring an image of clothes in the wardrobe body and an image of the service object;
and the information display device is used for displaying the clothes collocation scheme to the service object.
10. A storage medium storing a computer program which, when executed by one or more processors, implements the intelligent wardrobe clothing recommendation method of any one of claims 1-7.
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