CN112887430B - Household health management device - Google Patents
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- CN112887430B CN112887430B CN202110270054.XA CN202110270054A CN112887430B CN 112887430 B CN112887430 B CN 112887430B CN 202110270054 A CN202110270054 A CN 202110270054A CN 112887430 B CN112887430 B CN 112887430B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The application relates to an intelligence is health management device at home, and the user can openly face first camera device to gather user's first motion profile through first camera device. The processor only needs to extract the first motion profile from the first video information acquired by the first camera. In this case, the second camera does not need to be involved, so that resources of the processor can be saved. And when the variation amplitude of the first motion profile in a first preset time is smaller than a preset amplitude, the processor receives second video information acquired by the second camera device. Since the first motion profile is a two-dimensional image, this motion is not clearly reflected. At this time, the second motion profile acquired by the second camera device can reflect the motion state. The intelligent home health management device can select the first camera device or the second camera device to work as required, so that processor resources can be saved, the calculation amount is reduced, and the calculation efficiency is improved.
Description
Technical Field
The application relates to the field of health, in particular to a home health management device.
Background
With the acceleration of the pace of life of people, people have less and less time for outdoor exercise. For office workers who sit for a long time, serious health problems are necessarily brought to the office workers for a long time, for example, cervical spondylosis is a common workplace disease.
Home exercise is currently a way of health management that can save time while being effective. However, in the prior art, various household sports products have a judgment function on whether the user's sports posture is standard or not, or have a judgment function but generally use more precise instruments and complex algorithms, so that the cost is too high, and most users cannot bear the sports posture.
Disclosure of Invention
In view of the above, it is necessary to provide a home health management device in order to address the above-mentioned technical problems.
The embodiment of the application provides an intelligence is health management device at home, includes:
the player is used for playing the motion teaching video;
the first camera device is used for acquiring a first gesture of a user in a first direction;
the second camera device is used for acquiring a second gesture of the user in a second direction, wherein the first direction is vertical to the second direction;
the processor is used for receiving the first video information collected by the first camera device and extracting a first motion profile of the user in the first video information, and when the variation amplitude of the first motion profile in first preset time is smaller than a preset amplitude, the processor receives the second video information collected by the second camera device and extracts the second motion profile of the user in the second video information.
In one embodiment, the mobile terminal further comprises a voice device, and the processor is configured to control the voice device to send a voice prompt when the change amplitude of the second motion profile within the second preset time is smaller than the preset amplitude.
In one embodiment, the processor is configured to determine the first motion profile and the second motion profile according to a variation of gray-level values of adjacent pixels of each frame of image in the first video information.
In an embodiment, the processor is configured to select one of the pixels with a smaller gray scale value as an origin when a variation of two adjacent pixels is larger than a preset gray scale value, form a circle by taking a distance between 50 and 100 pixels as a radius, form the first motion contour and the second motion contour by a plurality of edges of the circle, and set a gray level of the pixel inside the first motion contour and the second motion contour to 0.
In one embodiment, the motion instruction video includes a video of a motion of a coach from two angles corresponding to a first pose of a user in a first direction and a second pose of the user in a second direction.
In one embodiment, the processor is further configured to perform gray processing on the motion video of the trainer at two angles after receiving the first motion profile and the second motion profile, obtain the two motion profiles of the trainer at two angles, compare the two motion profiles with the first motion profile and the second motion profile, and output a posture comparison result.
In one embodiment, the exercise mat further comprises an exercise mat, wherein a pressure sensor is arranged in the exercise mat, and the processor is connected with the pressure sensor and is used for obtaining the pressure of a user on the exercise mat through the pressure sensor.
The intelligent home health management device that this application embodiment provided, under normal condition, the user can openly face first camera device to gather user's first motion profile through first camera device. The processor only needs to extract the first motion profile from the first video information acquired by the first camera. In this case, the second camera does not need to be involved, so that resources of the processor can be saved. And when the variation amplitude of the first motion profile in a first preset time is smaller than a preset amplitude, the processor receives second video information acquired by the second camera device. For example, when the shape of the first motion profile changes by less than 5% in 10-20 seconds, it indicates that the user mainly moves sideways, and the motion state of the user cannot be reflected by the first motion profile from the front side only. For example, the user is now facing the first camera device in front and the user acts to raise and lower the arms of the user close to the first camera device in front. Since the first motion profile is a two-dimensional image, this motion is not clearly reflected. At this time, the second motion profile acquired by the second camera device can reflect the motion state. The intelligent home health management device can select the first camera device or the second camera device to work as required, can save processor resources, reduce the calculation amount, improve the calculation efficiency, and enable a user to judge whether the action is standard through the first motion profile and the second motion profile.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of a home health management device according to an embodiment of the present disclosure;
fig. 2 is a usage state diagram of a home health management device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1 and 2, an embodiment of the present application provides an intelligent home health management device. The intelligent home health management device comprises a player, a first camera device, a second camera device and a processor. The player is used for playing the motion teaching video. The first camera device is used for collecting a first gesture of a user in a first direction. The second camera device is used for collecting a second gesture of the user in a second direction. Wherein the first direction and the second direction are perpendicular. The processor is connected with the first camera device, the second camera device and the player. The processor is used for receiving first video information collected by the first camera device and extracting a first motion profile of a user in the first video information. And when the variation amplitude of the first motion profile within first preset time is smaller than a preset amplitude, the processor receives second video information acquired by the second camera device and extracts a second motion profile of the user from the second video information. The motion teaching video is a video which has large motion amplitude and mainly reflects body contour change. Including, for example, flexion and extension of the arms and legs, flexion and arching of the waist, etc. The user's movement can be reflected by the user's profile.
In a normal state, the user can face the first camera device in front, and a first motion profile of the user is acquired through the first camera device. The processor only needs to extract the first motion profile from the first video information acquired by the first camera. In this case, the second camera does not need to participate in the work, so that the resources of the processor can be saved. And when the variation amplitude of the first motion profile in a first preset time is smaller than a preset amplitude, the processor receives second video information acquired by the second camera device. For example, when the shape of the first motion profile changes by less than 5% in 10-20 seconds, it indicates that the user mainly moves sideways, and the motion state of the user cannot be represented by the first motion profile from the front side only. For example, the user is now facing the first camera on the front side, and the user acts to raise and lower his arms close to the first camera on the front side. Since the first motion profile is a two-dimensional image, this motion is not clearly reflected. And the second motion profile acquired by the second camera device can represent the motion state. The intelligent home health management device can select the first camera device or the second camera device to work as required, can save processor resources, reduce the calculation amount, improve the calculation efficiency, and can enable a user to judge whether the action is standard through the first motion profile and the second motion profile.
In one embodiment, the intelligent home health management device further comprises a voice device, and the processor is configured to control the voice device to send a voice prompt when the variation amplitude of the second motion profile within the second preset time is smaller than the preset amplitude. Such as reminding the user to adhere to an exercise, or reminding the user to notice that the magnitude of the motion has increased appropriately.
In one embodiment, the processor is configured to determine the first motion profile and the second motion profile according to a variation of a gray value of adjacent pixels of each frame of image in the first video information.
In an embodiment, the processor is configured to select one of the pixels with a smaller gray scale value as an origin when a variation of two adjacent pixels is larger than a preset gray scale value, form a circle by taking a distance between 50 and 100 pixels as a radius, connect edges of the circles to form the first motion profile and the second motion profile, and set a gray level of the pixel inside the first motion profile and the second motion profile to 0. The resulting image is a black human-shaped moving image. And the distance of 50-100 pixel points is used as a radius to form a circle, so that the phenomenon that the processor judges and switches the camera by mistake due to small body shape changes during human body movement can be avoided. The practicability of the equipment is improved.
In one embodiment, the rehabilitative motion instruction video includes a trainer's two-angle motion video, the two angles corresponding to a first pose of the user in a first direction and a second pose of the user in a second direction. And the processor is used for carrying out gray processing on the motion videos of the coach at two angles after receiving the first motion profile and the second motion profile to obtain the two motion profiles of the coach at two angles, comparing the two motion profiles with the first motion profile and the second motion profile and outputting a comparison result. It can be understood that in the process of the movement of the user, if the user is reminded of errors in the movement in real time, the exercise is necessarily interrupted continuously, and the continuity of the movement is influenced. And if the user continuously adjusts the motion amplitude in the motion process, the user is easy to be injured under the condition of no on-site coach instruction. After the user finishes moving, the two motion profiles are compared with the first motion profile and the second motion profile through the processor, and a posture comparison result is output, wherein the posture comparison result can be a motion comparison image, so that the user can summarize exercise effects, and pay attention to actions when moving next time. It is understood that the motion video may be a short video of 2-5 minutes. When the user is skilled, a plurality of short videos can be connected to form a long video.
In one embodiment, the intelligent home health management device further comprises a sports mat, wherein a pressure sensor is arranged in the sports mat, and the processor is connected with the pressure sensor and used for obtaining the pressure of the user on the sports mat through the pressure sensor. The change in the different exercise cycles of the user's weight can be monitored by means of the pressure sensor. The water consumption of the user can be reflected by monitoring the weight, and the user can be reminded of replenishing water timely. The user's weight measured by the pressure sensor can also monitor the effect of the user's movements on the weight as a health management indicator.
In one embodiment, the processor is further configured to determine the exercise level further according to the acceleration after the posture comparison result reaches the standard. And when the body state comparison result reaches the standard, for example, the error of the motion profile of the user compared with the standard motion profile is not more than 10%, indicating that the basic motion action of the user is mastered. Advanced exercises can be performed.
Those skilled in the art can appreciate that the manner of implementing the control and the like in the above embodiments can be implemented by a computer program, which can be stored in a non-volatile computer readable storage medium, and the computer program can include the procedures of the embodiments of the methods described above when executed. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (4)
1. The utility model provides an intelligence is health management device at home which characterized in that includes:
the player is used for playing the motion teaching video;
the first camera device is used for acquiring a first gesture of a user in a first direction;
the second camera device is used for acquiring a second gesture of the user in a second direction, wherein the first direction is vertical to the second direction;
the processor is connected with the first camera device, the second camera device and the player, and is used for receiving first video information acquired by the first camera device and extracting a first motion profile of a user in the first video information;
the processor is used for determining the first motion contour and the second motion contour according to the gray value variation of the adjacent pixels of each frame of image in the first video information;
the motion teaching video comprises motion videos of two angles of a coach, wherein the two angles correspond to a first posture of a user in a first direction and a second posture of the user in a second direction;
and the processor is used for carrying out gray processing on the motion videos of the coach at two angles after receiving the first motion contour and the second motion contour, obtaining the two motion contours of the coach at two angles, comparing the two motion contours with the first motion contour and the second motion contour, and outputting a posture comparison result.
2. The intelligent home health management device of claim 1, further comprising a voice device, wherein the processor is configured to control the voice device to emit a voice prompt when the magnitude of change of the second motion profile over the second preset time is less than the preset magnitude.
3. The intelligent home health management device of claim 1, wherein the processor is configured to select one of the pixels with a smaller gray scale value as an origin when the variation of the two adjacent pixels is larger than a preset gray scale value, form a circle by taking the distance between 50 and 100 pixels as a radius, form a plurality of edges of the circle into the first motion profile and the second motion profile, and set the gray scale of the pixels inside the first motion profile and the second motion profile to 0.
4. The intelligent home health management device of claim 1, further comprising a sports mat having a pressure sensor disposed therein, the processor being connected to the pressure sensor, the processor being configured to obtain the pressure of the user on the sports mat via the pressure sensor.
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Denomination of invention: Home Health Management Device Effective date of registration: 20230807 Granted publication date: 20221220 Pledgee: Shenzhen Rural Commercial Bank Co.,Ltd. Futian Sub branch Pledgor: SHENZHEN SUN-TUNNEL INFORMATION AND TECHNOLOGY CO.,LTD. Registration number: Y2023980051048 |