CN212679100U - Posture detection system, posture detection device, and table kit - Google Patents

Posture detection system, posture detection device, and table kit Download PDF

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Publication number
CN212679100U
CN212679100U CN202022110155.4U CN202022110155U CN212679100U CN 212679100 U CN212679100 U CN 212679100U CN 202022110155 U CN202022110155 U CN 202022110155U CN 212679100 U CN212679100 U CN 212679100U
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posture
target object
user
detector
detectors
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沈华杰
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Shen Jinshuang
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Shen Jinshuang
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121Determining geometric values, e.g. centre of rotation or angular range of movement
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47BTABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
    • A47B9/00Tables with tops of variable height
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47BTABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
    • A47B97/00Furniture or accessories for furniture, not provided for in other groups of this subclass
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116Determining posture transitions
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6891Furniture
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02Operational features
    • A61B2560/0242Operational features adapted to measure environmental factors, e.g. temperature, pollution

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Heart & Thoracic Surgery (AREA)
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  • User Interface Of Digital Computer (AREA)

Abstract

The utility model provides a gesture detecting system, gesture detection device and desk external member, wherein with the help of gesture detection device, user's gesture can be detected to when the user is in incorrect gesture, can be reminded so that the user can in time adjust the gesture.

Description

Posture detection system, posture detection device, and table kit
Technical Field
The utility model relates to detection area especially involves gesture detecting system, gesture detection device and desk external member.
Background
In daily life, there are many occasions in which a user needs to sit on a desk for learning or working. For general office workers, the office workers need to face computers to work for a long time, and for students, the office workers need to sit to listen to classes in the daytime and need to sit to write at night.
Incorrect sitting posture for a long time will press peripheral nerves, causing injuries to cervical vertebrae or vertebrae. Especially for developing student groups, maintaining an incorrect sitting posture for a long time may cause a reduction in vision and suffer from cervical spondylosis.
There are some sitting posture correcting devices on the market today for correcting sitting postures or to assist in maintaining correct sitting postures. However, there is a problem in that consumers purchase these devices only when they find themselves out that their sitting posture is incorrect, and for students or office workers, they keep sitting for a long time every day, have difficulty finding that the posture is becoming incorrect gradually, and so on until they recognize this problem, a long period of time may have passed.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide an attitude detecting system, attitude detecting device and desk external member, wherein whether attitude detecting system can detect user's gesture needs the adjustment.
Another object of the present invention is to provide a posture detecting system, a posture detecting device and a table kit, wherein the posture detecting system can send out a prompt when the posture of the user needs to be adjusted.
Another object of the present invention is to provide a posture detecting system, a posture detecting device and a table kit, wherein the posture detecting system can detect the correctness of the user posture from different dimensions.
Another object of the present invention is to provide a posture detecting system, a posture detecting device and a table kit, wherein by the posture detecting system, the user can remotely interact.
Another object of the present invention is to provide a posture detecting system, a posture detecting device and a table kit, wherein by the posture detecting system, the user can timely know whether the posture is correct.
According to the utility model discloses an aspect, the utility model provides an attitude detection device for detect a target object's gesture, wherein attitude detection device includes:
a processor;
at least two detectors, wherein at least one of the detectors is arranged in front of the target object and at least one of the detectors is arranged at the side of the target object; and
and the prompter is communicatively connected with the processor, processes the information about the user posture detected by the detector, and sends a prompt to the target object to prompt the target object to adjust the posture if the posture needs to be adjusted as a result of the processing.
According to an embodiment of the present invention, the posture detecting device further comprises a power source, wherein the power source is electrically connected to the detector, the processor and the prompter.
According to one embodiment of the invention, the detector, the processor and the prompter are integrated and arranged to the side of the target object.
According to an embodiment of the invention, the posture detection device is adapted to be arranged at a table, wherein the table is a lifting table and is connected to the posture detection device in a lifting and lowering controlled manner.
According to an embodiment of the present invention, the gesture detection apparatus further comprises a luminaire, wherein the luminaire is controllably connected to the processor, and the processor controls the illumination intensity variation of the luminaire based on the light data detected by the detector.
According to another aspect of the present invention, the present invention provides a table kit for detecting a posture of a target object, wherein the table kit comprises:
a table; and
an attitude detecting device, wherein the attitude detecting device is provided to the table, the attitude detecting device comprising:
a processor;
at least two detectors, wherein at least one of the detectors is arranged in front of the target object and at least one of the detectors is arranged at the side of the target object; and
and the prompter is communicatively connected with the processor, processes the information about the user posture detected by the detector, and sends a prompt to the target object to prompt the target object to adjust the posture if the posture needs to be adjusted as a result of the processing.
According to an embodiment of the present invention, the posture detecting device further comprises a power source, wherein the power source is electrically connected to the detector, the processor and the prompter.
According to one embodiment of the invention, the detector, the processor and the prompter are integrated and arranged to the side of the target object.
According to an embodiment of the invention, the table is a lifting table and is connected to the posture detection device in a lifting and lowering controlled manner.
According to an embodiment of the present invention, the gesture detection apparatus further comprises a luminaire, wherein the luminaire is controllably connected to the processor, and the processor controls the illumination intensity variation of the luminaire based on the light data detected by the detector.
According to the utility model discloses an on the other hand, the utility model provides an attitude detection system is suitable for the gesture that detects a target object, wherein attitude detection system includes:
a detection unit, wherein the detection unit comprises two detectors, wherein the detectors are respectively used for acquiring attitude information of a target object in a detection environment, one of the detectors is used for being arranged in front of the target object, and the other detector is used for being arranged at the side of the target object;
a processing unit, wherein the detection unit is communicatively connected to the processing unit; and
a prompting unit, wherein the prompting unit is communicably connected to the processing unit, and the prompting unit issues a prompt in the detection environment when the processing unit judges that the posture needs to be adjusted based on the information of the detection unit.
According to the utility model discloses an embodiment, the suggestion unit sends the suggestion with vibration, luminous or vocal mode.
Drawings
Fig. 1 is a schematic diagram of an application of an attitude detection system according to a preferred embodiment of the present invention.
Fig. 2A is a schematic diagram of an application of an attitude detection system according to another preferred embodiment of the present invention.
Fig. 2B is a schematic diagram of an application of an attitude detection system according to another preferred embodiment of the present invention.
Fig. 3 is a schematic diagram of an attitude detection apparatus according to a preferred embodiment of the present invention.
Fig. 4 is a schematic diagram of an application of an attitude detection system according to another preferred embodiment of the present invention.
Fig. 5 is a schematic diagram of an application of an attitude detection system according to another preferred embodiment of the present invention.
Fig. 6 is a schematic diagram of an application of an attitude detection system according to another preferred embodiment of the present invention.
Fig. 7 is a block diagram of an attitude detection system according to another preferred embodiment of the present invention.
Fig. 8A is a schematic diagram of the posture detecting device according to another preferred embodiment of the present invention.
Fig. 8B is a schematic diagram of a modified implementation of the attitude detection apparatus according to the above preferred embodiment of the present invention.
Fig. 9 is a schematic application diagram of the attitude detection apparatus according to the above preferred embodiment of the present invention.
Fig. 10 is a schematic diagram of the posture detecting device according to another preferred embodiment of the present invention.
Fig. 11 is a schematic view of a table set according to a preferred embodiment of the present invention.
Fig. 12 is a schematic view of the table set according to the above preferred embodiment of the present invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents and other technical solutions without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that in the present disclosure, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in a generic and descriptive sense only and not for purposes of limitation, as the terms are used in the description to indicate that the referenced device or element must have the specified orientation, be constructed and operated in the specified orientation, and not for the purpose of limitation.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
Referring to fig. 1 to 7 of the drawings, an attitude sensing system 1000 according to a preferred embodiment of the present invention is disclosed and explained in the following description, wherein the attitude sensing system 1000 is capable of sensing the attitude of the user and analyzing and determining whether the user is in the correct attitude. With the help of the posture detection system 1000, a user can find the incorrect posture of the user in time, so that the user can correct the incorrect posture in time and avoid great influence on the body. In particular, especially for minors, the posture detection system 1000 may detect the correctness of the posture at an early stage, so that the parents or the user himself or herself may take timely measures to correct the posture.
The gesture detection system 1000 may detect a gesture of a user through a gesture detection apparatus 100. Specifically, the gesture detection apparatus 100 may comprise at least one detector 101, wherein the detector 101 is arranged in a detection environment to detect a gesture of the user.
The gesture detection apparatus 100 may further comprise a processor 102, wherein the detector 101 and the processor 102 are interconnected to communicate information. The interconnection of the detector 101 and the processor 102 is not limited in the present invention, for example, the interconnection of the detector 101 and the processor 102 may be, but is not limited to, physically interconnected, operatively interconnected, communicatively interconnected. In other words, the transmission and reception of data between the detector 101 and the processor 102 can be realized.
It is noted that the processor 102 and the detector 101 may be integrated with each other, and the processor 102 and the detector 101 may also be independent from each other. The processor 102 may be disposed in the detection environment or may be disposed outside of the detection environment.
The detector 101 is used to detect the gesture of the user. The operation of the detector 101 may include, but is not limited to, the following description, the first operation may be that the detector 101 actively outputs outward, and then the processor 102 analyzes the gesture of the user based on the feedback signal detected by the detector 101, and the second operation may be that the detector 101 passively receives gesture information from the user, for example, position information of various parts of the user.
The detector 101 may be of the type, but is not limited to, an optical detector or a gravity sensor, such as a camera, an infrared detector, an ultrasonic detector, a microwave detector, etc.
In other words, the type of the detector 101 for acquiring the user posture information may be various, and the present invention does not limit the type of the detector 101.
It is worth mentioning that the processor 102 can analyze the posture information after the detector 101 of the posture detecting apparatus 100 obtains the posture information about the user, and particularly, the processor 102 can analyze the sitting posture of the user. It should be noted that the posture detection apparatus 100 can detect not only the sitting posture of the user but also the standing posture, the walking posture, or other postures of the user. In other words, the posture detecting apparatus 100 is not only suitable for application to detection of a sitting posture of a user, but also suitable for a variety of postures.
For example, the posture detection device 100 can detect a posture including a humpback while the user is walking. The gesture detection system 1000 may also prompt the user with an incorrect gesture of the user detected by the gesture detection apparatus 100.
Referring to fig. 1, in the present embodiment, the posture detecting device 100 is described as an example for detecting the sitting posture of the user. The detector 101 is disposed at an appropriate position in the detection environment to detect the posture of the user. The detector 101 may be arranged at a certain position of the table top to detect the posture of the user sitting at the table, for example, the detector 101 may be arranged in front of the user.
Based on the detection of the user gesture information to be acquired, the processor 102 may analyze whether the current user gesture is correct, and if the current user gesture is correct, the gesture detection apparatus 100 maintains the original working state and continues to detect the user gesture.
If the current posture of the user is not correct, the posture detection device 100 issues a prompt to prompt the user that the current posture is not correct. After knowing the problem, the user can choose to correct or purchase some related correcting equipment according to the requirement. The gesture detection apparatus 100 continuously detects the gesture of the user.
It should be noted that, when the gesture detection apparatus 100 is in operation, the gesture detection apparatus 100 may detect the gesture of the user at all times, or may detect the gesture of the user at intervals, for example, at intervals of 1 minute.
Specifically, the detector 101 of the gesture detection apparatus 100, after detecting gesture information of the user, the processor 102 performs analysis based on the gesture information of the user. First, the user's identity information may be identified based on the gesture information analysis. After the identity information of the user is recognized, a standard posture database related to the identity information can be called based on the identity information, and then the posture of the user is compared or compared with the posture in the standard posture database to judge whether the posture of the user is correct or not.
It should be noted that the gesture detection apparatus 100 can detect not only the sitting gesture of the user, but also other gestures of the user, such as a lying gesture, a standing gesture, and the like. After the detector 101 detects the posture of the user, the posture detection apparatus 100 can analyze and recognize what the current posture of the user is, for example, in the present embodiment, the posture of the user is a sitting posture, based on the posture information. And comparing the standard postures of the corresponding types in the standard database based on the types of the postures, so as to compare and analyze whether the current posture is correct.
For example, in the detection environment, the user sits in front of a desk, the posture detection apparatus 100 detects the posture of the user, and analyzes that the current posture of the user is a sitting posture and recognizes that the identity of the user is a user nail. And determining a corresponding standard posture database based on the identity information and the posture information of the user, and then comparing the posture of the user with the standard posture in the standard posture database to judge whether the posture of the user is correct or not.
Further, in some embodiments of the present invention, after the detector 101 detects the user gesture, the gesture detection apparatus 100 can directly analyze the user gesture to determine whether the gesture of the current user is correct.
For example, in the detection environment, the user sits in front of a desk, the gesture detection apparatus 100 detects the gesture of the user, and analyzes that the head or eyes of the current user are too close to the desktop, so as to determine that the gesture of the current user is not correct, and therefore, the gesture detection apparatus 100 may issue a prompt to prompt the user.
In other words, the gesture detection apparatus 100 may analyze whether the gesture of the user is correct or not based directly on the detected gesture information of the user without recognizing the identity of the user. For example, if the detector 101 of the posture detecting apparatus 100 detects that the distance between the eyes of the current user and the desktop is less than 15cm, it can be determined that the sitting posture of the current user needs to be adjusted because the distance between the eyes and the desktop is too close.
Further, the detector 101 is arranged in the detection environment to detect a gesture of the user. The detector 101 may be disposed around the user to detect the posture of the user, or may be disposed on the user to detect the posture of the user. In the embodiment shown in fig. 2A, the detector 101 is arranged around the user, for example, on the table top to detect the posture of the user, for example, the detector 101 may detect the height distance from the head or eyes of the user to the table top, or the height distance from the shoulders of the user to the table top. In the embodiment shown in fig. 2B, one of said detectors 101 is arranged on the table top and on the side of the user to detect the distance of the torso of the user from the table top. Another such detector 101 is arranged in front of the table, between the table and the user, and can detect the position of the head for use, for example the distance to the table top, or the inclination of the head.
In other embodiments of the present invention, for example with reference to fig. 5, at least one of the detectors 101 is arranged on the body of the user. The detector 101 may be arranged on the user's clothing or on the user's body, for example by being stuck, sucked, worn or the like. The detector 101 located at the user is used to detect the user's gesture.
In an application scenario shown in fig. 2A or fig. 2B, the detector 101 disposed on the user may be used to detect a distance between the user and the desktop, and when the distance between the user and the desktop exceeds a preset range or the distance between the user and the desktop is less than a preset range, the posture of the user in a sitting posture state may be problematic.
It is noted that said detector 101 arranged at the user may be used not only for detecting the distance between the user and the desktop, but also for detecting the angle of the user with respect to the desktop.
In the correct sitting position, the user's body is facing the table. In other words, the user's body should be parallel to the table when the edge of the table is straight. In a wrong sitting position, the user may sit obliquely in front of the table, at an angle to the table. The detector 101 is able to detect if the user is tilted from the desktop. The inclination may be an inclination of the torso of the user's body relative to the table, an inclination of the user's head or neck relative to the table, or an inclination of the user's lower limbs relative to the table.
The detector 101 may be located on, but not limited to, the torso, head, or neck of the user's body.
It is worth mentioning that the detector 101 disposed around the user and the detector 101 disposed at the user may cooperate with each other to facilitate improvement of the detection accuracy of the posture detecting apparatus 100.
Specifically, the gesture detection apparatus 100 can detect the gesture of the user from a plurality of dimensions, for example, the detector 101 disposed in front of the user can detect and analyze the gesture of the user in the height direction, that is, the Z-axis direction, and the detector 101 disposed in the user can detect and analyze the gesture of the user in the X-axis direction and the Y-axis direction. The X-axis, the Y-axis, and the Z-axis are constructed centering on the user, the height of the user is the Z-axis, the front and rear of the user is the X-axis, and the left and right direction of the user is the Y-axis.
The gesture detection apparatus 100 may detect a distance between a body part of the user and the table top in the Z-axis direction, and may be, but is not limited to, a distance between the head or neck of the user and the table top. The posture detecting apparatus 100 may detect a distance between a body part of the user and the table top, and an inclination angle of the body part with respect to the table top in the X-axis and Y-axis directions.
Of course, it is understood that the detector 101 may be disposed at the back of the user, and in this case, the detector 101 may also detect the inclination angle of the user with respect to the desktop or the bending degree of the back of the user.
It should be understood by those skilled in the art that the arrangement of the detectors 101 and the types of data detected by the detectors 101 disposed at various positions are illustrated, and the gesture detection apparatus 100 of the present invention can be, but not limited to, the above examples.
Further, referring to fig. 3, the gesture detection apparatus 100 includes a prompting device 103 and a power source 104, wherein the prompting device 103 and the processor 102 are connected to each other, so that information can be received and transmitted between the prompting device 103 and the processor 102. When the processor 102 determines that the user posture needs to be adjusted, the processor 102 sends a signal to the prompter 103, and the prompter 103 sends a signal to prompt the user that the current posture is in a problem.
The detector 101, the processor 102 and the prompter 103 are each electrically connectable to the power source 104. The prompter 103 may be independent of the detector 101 or the processor 102.
The gesture detection apparatus 100 may further include a communicator 105, wherein the communicator 105 is configured to transmit or receive information, wherein the communicator 105 and the processor 102 are connected to each other, and the communicator 105 and an external device are communicatively connected. For example, the prompting signal can be transmitted to an external electronic device through the communicator 105, and the external electronic device may include a mobile phone, a computer, an electronic bracelet, a smart watch, and the like, so as to prompt the user through the external electronic device. The communicator 105 is electrically connectable to the power source 104.
The gesture detection apparatus 100 may further include a memory 106, wherein the information detected by the detector 101 and the information processed by the processor 102 may be stored in the memory 106 respectively. The memory 106 may be used to store instructions or a standard pose database. The memory 106 is electrically connectable to the power supply 104.
The gesture detection apparatus 100 may further include a housing 107, wherein the detector 101, the processor 102, the prompter 103, the communicator 105, the power source 104, and the memory 106 may be enclosed by the housing 107. The detector 101, the processor 102, the prompter 103, the communicator 105, the power source 104, and the memory 106 may be integrally integrated. One or more of the detector 101, the processor 102, the prompter 103, the communicator, the power source 104, and the memory 106 may also be arranged independently.
According to another aspect of the present invention, the present invention provides a posture detection method, wherein the posture detection method is applied to the posture detection device 100 or the posture detection system 1000. Specifically, the attitude detection method includes the steps of:
acquiring attitude information of a target object; and judging whether the posture of the target object is correct or not based on the posture information, and if not, sending a prompt signal.
With the gesture detection system 1000, the gesture of the target object can be detected, where the target object may be each person in the detection range of the gesture detection system 1000, or may be a specific user. For example, the gesture detection system 1000 may be configured to perform gesture detection only for a particular user. In other words, the posture detection system 1000 may detect a person within a detection range to determine whether the person is in a target object, and if the person is in the target object, the posture detection system 1000 may analyze and determine the posture of the target object, and if the person is not in the target object, the posture detection system 1000 may stop operating or perform a sleep state.
Of course, in some embodiments of the present invention, each person within the detection range of the gesture detection system 1000 is the target object.
That is, the posture detection method includes the steps of: the user in the detection range of the detector 101 is detected, and then whether the user is the target object is identified, and if so, whether the gesture of the target object is correct is judged.
Further, the gesture detection method may further include the steps of: and comparing the posture information of the target object with a standard posture of the target object to judge whether the posture of the target object is correct or not. The standard poses may be from a standard pose database.
Notably, the gesture detection system 1000 can determine whether the current user gesture is correct based directly on the detected user gesture information. The posture information of the user may include, but is not limited to, position information of various body parts of the user or relative position information of various body parts of the user, such as position information with respect to a table or relative position information between various identity parts, such as position information between a head and a neck. For some users, the user may prefer to tilt the head relative to the neck when sitting at a table for reading or writing, which is an incorrect sitting posture. The wrong posture is also included in the standing posture or other postures. The gesture detection system 1000 will issue a prompt.
Further, according to some embodiments of the present invention, the attitude detection method may further include the steps of: when the target object is in a sitting posture, the distance between the target object and a table is analyzed to judge whether the posture of the target object is correct or not.
According to some embodiments of the present invention, the attitude detection method may further include the steps of: when the target object is in a sitting posture, the distance between the head or eyes of the target object and a table is analyzed to judge whether the posture of the target object is correct or not.
According to some embodiments of the present invention, the attitude detection method may further include the steps of: when the target object is in a sitting posture, analyzing the relative angle between the body of the target object and the table faced by the target object to judge whether the posture of the target object is correct.
In other words, with the gesture detection system 1000, the gesture of the user can be detected and analyzed from multiple angles, which is beneficial to improve the accuracy of the user gesture analysis. The gesture detection system 1000 may analyze whether the current gesture of the user is correct from the position of each part of the user's body itself, such as the angle between the user's head and neck, the distance between the user's shoulder and elbow, and the like. The gesture detection system 1000 may also analyze whether the current gesture of the user is correct from the relative relationship between various parts of the user's body and the table that the user faces, such as the angle between the user's arm and the table top, and the distance between the user's eyes or chest and the table.
Further, the gesture detection method may further include the steps of: identifying the target object to obtain identity information of the target object; and performing posture analysis based on standard posture data associated with the identity information. For example, the gesture detection device 100 may collect a standard gesture of the user a in advance, for example, a standard sitting posture, the collection of the standard gesture may be collected by a store seller assisting the user in purchasing the gesture detection device 100, or may be collected by the user according to a relevant specification after the user has purchased the gesture detection device, and the collection of the standard gesture is only an example and is not a limitation to the present invention.
When the gesture detection apparatus 100 can be applied to a plurality of users, that is, when the gesture detection apparatus 100 may have a plurality of target objects, the gesture detection apparatus 100 may store a plurality of standard databases, wherein each target object may correspond to one of the standard databases. Therefore, the identity of the target object is recognized to match the corresponding standard database, and then whether the gesture of the user is correct or not is judged based on the comparison between the standard database and the detected gesture of the user.
Further, the gesture detection method may further include the steps of: if the user's gesture is incorrect and the user remains incorrect for more than a preset time, a prompt is issued.
A user who keeps a sitting posture for a long time may feel uncomfortable and may automatically adjust the posture, for example, occasionally stretch the body, if the stretching of the body is detected by the posture detection system 1000, the posture which may be determined to need to be adjusted may be determined, and in order to improve the detection accuracy of the posture detection system 1000, the posture detection system 1000 may issue a prompt after the user keeps the posture which needs to be adjusted for a certain period of time.
In other embodiments of the present invention, the gesture detection method may further include the steps of: and if the incorrect posture of the user is detected and the incorrect posture of the user exceeds a preset frequency, sending out a prompt.
The user may remain in the correct sitting position for a period of time and then suddenly begin to bring the head close to the desk to close the textbook placed on the desk, and after the distance between the head and the desk is less than the preset range, the user is in an incorrect posture. The user may initially recognize that the gesture is a problem and automatically adjust to the correct gesture, but after a period of time, such incorrect gesture may occur, and the gesture detection system 1000 may issue a prompt to alert the user to the gesture. By the mode, the user can recognize the incorrect posture as soon as possible, and reasonable processing such as correction can be timely carried out.
In other embodiments of the present invention, the gesture detection system 1000 can also automatically update the standard database. Specifically, the posture detection system 1000 may collect the body data of the user during the detection process, and then update the standard database, for example, as the user grows with age, especially for minors, the height of the user grows, and some of the data in the standard posture database may need to be updated to facilitate more accurate determination of whether the posture of the user is correct.
Further, referring to fig. 4, the gesture detection system 1000 further includes at least one interactive device 200, and the user can remotely interact with the outside through the interactive device 200
For example, if a parent shifts work in a unit or a company, a child writes a job at home, and the parent can be prompted by the posture detection device 100 that the current posture of the child is problematic, the parent can directly observe the current posture of the child through the interaction device 200 and interact with the child to guide the child to adjust to the correct posture.
Specifically, the interactive device 200 may include a camera 201 and a voice interactor 202, wherein the voice interactor 202 may receive voice and may also play voice. The camera 201 may be disposed in the detection environment, for example, placed right in front of a user, so that a user at the other end of the camera 201 may observe the posture of the user at the end of the camera 201 through the camera 201.
The voice interactors 202 may be arranged around the camera 201 or around the user. A user at the end of the camera 201 may receive voice information from a user at the other end of the camera 201 via the voice interactor 202. Information can also be delivered to a user at the other end of the camera 201 through the voice interactor 202.
With the aid of the interaction device 200, the user at the other end of the camera 201 can monitor the user at the end of the camera 201 in real time and can also perform online guidance in real time to prompt the user at the end of the camera 201 how to correct an incorrect posture.
The number of the cameras 201 may be multiple, and the user at the other end of the camera 201 may be assisted in observing the user at the end of the camera 201 from multiple angles.
The user at the other end of the camera 201 may also be a professional sitting position corrector. The incorrect sitting posture of the user is observed through the camera 201, and then professional guidance is given to the user through the voice interactor 202.
It is noted that when one of the detectors 101 in the gesture detection apparatus 100 is a camera, the camera can be used as at least part of the interaction apparatus 200. In other words, the camera 201 in the interaction device 200 can be used as the detector 101 in the gesture detection device 100. The user posture information collected by the camera 201 in the interactive device 200 can be used for judging whether the user is in an incorrect posture.
It is noted that other gestures of the user, such as a standing gesture, may also be detected by the gesture detection system 1000. For example, when the user is within the detection range of the posture detection system 1000, the detector 101 may detect the angle between the back of the user and the ground to determine whether the user is humpback, thereby determining whether the user is in an incorrect posture.
Further, the posture detecting device 100 may be integrated with the interacting device 200. For example, the gesture detection apparatus 100 may include the camera 201 and the voice interactor 202.
The posture detecting device 100 may be independently installed or placed in the detection environment, and the posture detecting device 100 may also be implemented as a daily life appliance. For example, referring to fig. 6, the gesture detection apparatus 100 may be implemented as a desk lamp. The gesture detection apparatus 100 can also be implemented as an alarm clock or an electronic calendar.
In other words, the gesture detection apparatus 100 may also have other life support functions while detecting the gesture of the user, and the gesture detection apparatus 100 may also be used for interaction.
In accordance with another aspect of the present invention, referring to fig. 7, and also to fig. 3 and 4, a gesture detection system 1000 in accordance with a preferred embodiment of the present invention is illustrated.
The posture detecting system 1000 includes a detecting unit 10, a processing unit 20, and a prompting unit 30, wherein the detecting unit 10 and the processing unit 20 are communicably connected to each other, and the processing unit 20 and the prompting unit 30 are communicably connected to each other.
The detection unit 10 is configured to detect a gesture of a user to obtain gesture information, and the processing unit 20 is capable of performing analysis to determine whether the gesture of the user is correct based on the gesture information of the user collected by the detection unit 10. When the processing unit 20 concludes that the posture of the user is not correct, the prompting unit 30 issues a prompt.
The detection unit 10 may be partially integrated or entirely integrated with the detector 101 of the gesture detection apparatus 100, the processing unit 20 may be partially integrated or entirely integrated with the processor 102 of the gesture detection apparatus 100, and the prompting unit 30 may be partially integrated or entirely integrated with the prompter 103 or the communicator 105 of the gesture detection apparatus 100.
In one embodiment, the detection unit 10 is configured to detect a sitting posture of the user and obtain sitting posture information of the user, and the processing unit 20 determines whether the sitting posture of the user is correct based on the sitting posture information obtained by the detection unit 10. Further, in some embodiments, the detection unit 10 determines whether the sitting posture is correct based on the distance between the user and the table. In some embodiments, the detection unit 10 determines whether the sitting posture is correct based on the relative positions of the user's own body parts.
In one embodiment, the detection unit 10 is configured to detect a standing posture of the user and obtain standing posture information of the user, and the processing unit 20 determines whether the standing posture of the user is correct based on the standing posture information obtained by the detection unit 10.
In one embodiment, the detection unit 10 includes two of the detectors 101, and the two detectors 101 are cameras respectively, one of which is disposed in front of the user and the other of which is disposed at the side of the user.
In one embodiment, the processing unit 20 can analyze the gesture information of the user to identify whether the user is a target object, and if the user is not a target object, the gesture detection system 1000 does not detect or prompt the user. If the user is a target object, the gesture detection system 1000 will issue a prompt when the gesture of the target object is incorrect.
In one embodiment, the processing unit 20 is capable of determining whether the gesture of the user is correct based on a standard gesture database corresponding to the identity of the user after identifying the identity information of the user. In one embodiment, the processing unit 20 can directly perform analysis based on the user gesture information obtained by the detecting unit 10 to determine whether the user gesture is accurate.
Specifically, the gesture detection system 1000 may further include a storage unit 40, wherein the detection unit 10 is communicably connected to the storage unit 40. The memory unit 40 may be partially integrated or fully integrated with the memory 106. The memory unit 40 is communicatively connected to the processing unit 20.
The information collected by the detection unit 10 may be stored in the storage unit 40, the storage unit 40 may store instructions or a standard database, and when the processing unit 20 determines the identity of the user, the matching standard posture database may be called from the data stored in the storage unit 40 to determine whether the posture of the user is correct.
In one embodiment, the processing unit 20 determines whether the posture of the user is correct based on the data detected by the detecting unit 10 in real time, and if not, the prompting unit 30 immediately issues a prompt. Specifically, the processing unit 20 determines whether the posture of the user is correct in real time based on the data detected by the detecting unit 10, and the prompting unit 30 immediately issues a prompt message once the processing unit 20 concludes that the current posture is incorrect.
In one embodiment, the processing unit 20 determines whether the posture of the user is correct based on the data of the detecting unit 10 over a past period of time, and if the result is incorrect, the prompting unit 30 immediately issues a prompt. For example, the processing unit 20 determines that the user is in an incorrect posture at 10 o ' clock based on the user posture information detected by the detection unit 10 at 10 o ' clock, then determines that the user is in an incorrect posture at 10 o ' clock 05 o ' clock based on the user posture information detected by the detection unit 10 at 10 o ' clock 05, but does not detect the incorrect posture of the user at 10 o ' clock to 10 o ' clock 05 o ' clock, at 10 o ' clock, the detection unit 10 detects the same information again and the processing unit 20 determines that the user is in an incorrect posture at this time. The processing unit 20 sends a signal to the prompting unit 30, and the prompting unit 30 sends a prompt.
In one embodiment, the processing unit 20 determines whether the posture of the user is correct in real time based on the data detected by the detecting unit 10, if not, the processing unit 20 sends a signal to the prompting unit 30, and when the signal received by the prompting unit 30 exceeds a certain frequency, the prompting unit 30 sends a prompting signal. For example, the processing unit 20 determines that the user is in the incorrect posture when the time period of 11 point 1 to 11 point 2 is divided based on the user posture information detected by the detecting unit 10 at 11 point 1 to 11 point 2. The processing unit 20 sends a signal to the prompting unit 30, and the prompting unit 30 does not send a prompt. After 10 minutes, based on the information detected by the detection unit 10, the processing unit 20 determines that the user is in an incorrect posture, and thus sends a signal to the prompting unit 30 again. After 20 minutes, based on the information detected by the detection unit 10, the processing unit 20 determines that the user is in an incorrect posture, and thus sends a signal to the prompting unit 30 again. When the number of the signals received by the prompting unit 30 from the processing unit 20 exceeds a certain number or a certain frequency, the prompting unit 30 issues a prompt.
It is noted that in some embodiments of the present invention, the data in the storage unit 40 may be updated based on the data detected by the detection unit 10. For example, as the user ages, the user posture information detected by the detection unit 10 may include body information of the user, such as a distance from a shoulder to a waist. The data detected by the detection unit 10 after being processed by the processing unit 20 can be stored in the storage unit 40, and the standard posture database in the storage unit 40 can be updated to facilitate the judgment of whether the posture of the user is correct.
Further, the attitude detection system 1000 includes a noise reduction unit 50, wherein the processing unit 20 is communicably connected to the noise reduction unit 50, and the detection unit 10 is communicably connected to the noise reduction unit 50. The noise reduction unit 50 can perform noise reduction processing on the data collected by the detection unit 10 to remove some data, so as to facilitate accurate judgment of the processing unit 20. For example, after the user keeps sitting for a long time, the user may suddenly stand or leave the seat to stretch the body in a certain time, and the data in this time period may be noise-reduced by the noise reduction unit 50, so that the processing unit 20 may not determine the incorrect posture.
Further, the gesture detection system 1000 comprises an interaction unit 60, wherein the processing unit 20 is communicatively connected to the interaction unit 60. By means of the interaction unit 60, the user can interact with the outside world. The interaction unit 60 may be partially integrated or fully integrated with the interaction device 200.
It should be noted that the interaction unit 60 may also collect the user gesture in real time and transmit the user gesture to the outside, so that a remote user can make a real-time observation on the detected user through the interaction unit 60 to facilitate a real-time guidance on the detected user in a subsequent step.
Further, the posture detecting system 1000 includes a management unit 70, and the management unit 70 is communicably connected to the processing unit 20. The management unit 70 may be used to manage the processing unit 20. By means of the management unit 70, the user can set a target object. The prompting unit 30 is communicatively connected to the processing unit 20. By means of the management unit 70, the user can set the prompting mode, for example, the prompting unit 30 can, but is not limited to, prompt the user by means of vibration, lighting or sound. The storage unit 40 is communicably connected to the management unit 70, and a user can manage data in the storage unit 40, such as importing data or deleting data, by means of the management unit 70. The interaction unit 60 is communicatively coupled to the management unit 70. By means of the managing unit 70, the user can select the objects to interact with and the timing of the interaction by means of the interaction unit 60.
Referring to fig. 8A, the gesture detection apparatus 100 according to another preferred embodiment of the present invention is illustrated.
The gesture detection apparatus 100 may comprise at least two of the detectors 101, at least one of the processors 102, and at least one of the prompters 103.
The number of the detectors 101 may be two, the detectors 101 may be installed at different positions, respectively, one of the detectors 101 may be placed in front of the body of the user to detect a distance between the body of the user and the table, and the other of the detectors 101 may be placed at the side of the body of the user to detect bending of the head or shoulders of the user. The number of the detectors 101 may be plural, for example, three or more, one of the detectors 101 is disposed in front of the user, at least one of the detectors 101 is disposed at a side of the user, for example, two of the detectors 101 are disposed at a side of the user, one may be an infrared sensor, and the other may be a camera, or an infrared sensor is disposed at a front of the user and a laser sensor and a camera are disposed at a side of the user.
In this embodiment, the processor 102 and one of the detectors 101 located at the side are integrally provided, and the detector 101 located at the front is independently provided. It is noted that the detector 101 and the processor 102 located at the front are communicatively connected, either by wire or wirelessly.
Further, the processor 102 and the detector 101 located at the side are integrated into one device, and may be disposed at a certain height of the tabletop to detect the posture of the user more accurately.
In the embodiment, the posture detecting device 100 is designed as a stand-alone device, and the posture detecting device 100 can be installed on any table 300 to detect the posture of any user in front of the table 300, such as different types of tables including a conference table, a desk, a round table, and a lifting table. It is understood that the installation of the posture detecting apparatus 100 may be performed under the direction of a professional, so that the two detectors 101 of the posture detecting apparatus 100 are respectively disposed at appropriate positions.
In addition, the prompter 103 may be integrated with the processor 102 and the detector 101 located at the side as one device. The reminder 103 may be a voice reminder or a vibration reminder. Of course, it will be understood by those skilled in the art that the type of the prompter 103 is not limited to the foregoing examples, and other prompting manners may be adopted. When the prompter 103 is a voice prompter, the prompter 103 may also transmit voice information from other locations in a voice manner.
It is worth mentioning that the detector 101 may not only collect posture information about the user for the processor 102 to process and analyze, but also the information collected by the detector 101 may be transmitted to the user who is not in the detection field of the detector 101, such as a parent.
The gesture detection apparatus 100 may further include at least one power source 104 and one communicator 105, where the communicator 105 may be communicatively connected to an external device, so that a parent may observe the gesture of the user at the desk in real time through the communicator 105 and the detector 101, or the parent may interact with the user at the desk through the communicator 105 and the detector 101, for example, the communicator 103 may receive sound and may transmit sound, and the detector 101 may transmit image information, for example, when the detector 101 is a camera. It is understood that not only the parents may interact with the user at the desk through the posture detecting device 100, but also other people, such as a posture correction specialist, may interact with the user at the desk through the posture detecting device 100. It is understood that the number of the power sources 104 may be two to respectively supply power to the two detectors 101, or may be one to simultaneously supply power to the two detectors 101.
One of said detectors 101 located in front of the target object may be an attitude detector for detecting attitude changes of the target object, for example an optical detector or a gravity sensor, for example a camera, an infrared detector, an ultrasonic detector, a microwave detector, etc. The other detector 101 located at the side of the target object may be an image detector, and may be configured to not only detect the posture change of the target object, but also obtain real-time image information of the target object, such as facial information, in real time, so that other users not around the target object may observe the target object through the information captured by the detector 101, thereby facilitating subsequent interaction. The image detector may be a camera, a general camera or an infrared camera, etc.
Both of the detectors 101 of the gesture detection apparatus 100 can be configured as cameras, so that the detectors 101 can capture light in time when the light in the area where the detectors 101 are located changes. Sufficient light is very important for a user who studies or works at a desk, the user can have impaired vision, for example, the user can suffer from pseudomyopia when working in dark light for a long time, and the user can unconsciously lower the head and shrink the body to be close to the desktop to see the objects in front of the eyes as far as possible due to the dark light, so that the posture is deviated.
At least one of the detectors 101 may be a light sensor, and based on the change of light detected by the light sensor, the processor 102 sends a signal to the prompter 103, so that the prompter 103 gives a prompt to the user, for example, based on the current light detected by the detector 101 is lower than a preset value and has not improved for a period of time, the processor 102 sends a prompt to the prompter 103, and the prompter 103 gives a prompt, for example, prompts the user to turn on the light. By the mode, the user can be prompted when the user does not have deviation postures such as head lowering, the prevention effect is achieved, and the eyesight and the posture of the user are protected.
Further, the gesture detection apparatus 100 may further include the memory 106, wherein the memory 106 may be further communicably connected to the detector 101 or the processor 102, and the memory 106 is configured to store data collected by the detector 101 or data obtained by processing by the processor 102. It is understood that the data collected by the detector 101 or processed by the processor 102 may also be transmitted to another place via the communicator 105 for storage, such as a cloud server.
Further, the posture detecting apparatus 100 may further include the housing 107, wherein the detector 101, the processor 102, the prompter 103, the power source 104, the communicator 105 and the memory 106 located at the side may be disposed in the housing 107, the housing 107 may form a receiving cavity and an opening communicating with the receiving cavity, the processor 102, the prompter 103, the power source 104, the communicator 105 and the memory 106 may be received in the receiving cavity of the housing 107, and the detector 101 may be disposed in the housing 107 and exposed to the opening, so that the detector 101 may collect external light. It is understood that the shape of the housing 107 of the gesture detection apparatus 100 can be selected according to the requirement, if the user is a child, the housing 107 can be made into a lovely animal shape, and if the user is an adult, the housing 107 can be made to match the room arrangement decoration.
It is understood that the whole gesture detection apparatus 100 can be made to match with a table, such as the size of the table or the color of the table. Some desks have their own interface to power external devices, and the gesture detection apparatus 100 may be conductively mounted to the desk's interface to be powered to operate.
It is understood that the gesture detection apparatus 100 can be installed on a desk for use, and can also be installed in other environments for use. The posture detecting apparatus 100 may be used to detect not only a sitting posture of the user, but also other postures of the user, such as a standing posture, as shown in fig. 9, and two or more of the detectors 101 may be respectively disposed at different positions to respectively monitor the postures of the user in six directions, i.e., an x-axis direction, a y-axis direction, and a z-axis direction.
Some industries with special requirements on postures, such as dancers, generally need teachers to judge whether the postures of the users are accurate one by one in the training process, and by means of the posture detection device 100, the users can be prompted in time when the postures are incorrect without the help of teachers, so that the users can conveniently conduct training at home.
It should be noted that, in this embodiment, the detector 101 may include an emitter 1011 and a receiver 1012, the emitter 1011 may radiate energy outwards, the receiver 1012 may receive the reflected energy, for example, when the detector 101 is an infrared detector, the emitter 1011 may send infrared outwards, and the receiver 1012 may receive infrared. Further, the transmitter 1011 and the receiver 1012 of the detector 101 are integrally arranged. It is understood that, as shown in fig. 8B, the transmitter 1011 and the receiver 1012 of the detector 101 may be independently arranged, for example, the transmitter 1011 and the receiver 1012 of the detector 101 located in front are independently arranged.
Referring to fig. 10, the gesture detection apparatus 100 according to another preferred embodiment of the present invention is illustrated.
The gesture detection apparatus 100 may include the detector 101, the processor 102, the prompter 103, the power source 104, the communicator 105, the memory 106, and the housing 107.
The gesture detection apparatus 100 further comprises an illuminator 108, wherein the illuminator 108 is operable to illuminate, and the illuminator 108 is controllably brightly connected to the processor 102. The gesture detection apparatus 100 can be used as a lighting work, such as a desk lamp, while being used for detecting a gesture.
In detail, the detector 101 can collect light information in the environment, and when the light in the environment is too dark, the processor 102 will issue an indication to the illuminator 108, and the illuminator 108 will emit light or increase the intensity of light until the light information detected by the detector 101 is within a reasonable range. In this process, the user does not need to actively turn on the light or adjust the light, and the gesture detection apparatus 100 automatically performs the process, so that the user's attention is not interrupted and can always be focused on and kept in front of the table 300.
Referring to fig. 11, a table set 1 with the posture detecting device 100 according to a preferred embodiment of the present invention is illustrated.
In this embodiment, the table set 1 may include a table 300 and the posture detecting device 100, wherein the posture detecting device 100 is mounted to the table 300 to be sold together with the table 300. The relative positions of the detector 101 and the table 300 of the posture detection apparatus 100 may be set at the time of factory shipment or may be adjusted in a subsequent process.
The gesture detection apparatus 100 may include at least two of the detector 101, the processor 102, the prompter 103, the power source 104, the communicator 105, the memory 106, and the housing 107, wherein the housing 107 may be integrated with the table 300 or may be separated from the table.
The posture detecting device 100 may be provided without the housing 107, and the detector 101, the processor 102, the prompter 103, the power supply 104, the communicator 105, and the memory 106 may be integrated with the table 300.
Further, the detector 101 of the posture detecting device 100 is movably disposed on the table 300 and can adaptively adjust its position according to users. For example, when the user sitting at the table 300 is tall, the detector 101 may move to a higher position to better observe the user. When the user sitting at the table 300 is low in height, the detector 101 may be moved to a lower position to better observe the user. In other words, the position of the detector 101 of the gesture detection apparatus 100 can be actively changed as the user's height changes, so that the detection of the user's gesture is more accurate.
The detector 101 may be movably supported to the table 300 by a telescopic rod so that the position of the detector 101 may be changed. It will be appreciated by those skilled in the art that the manner of varying the location of the detector 101 may be varied.
In addition, referring to fig. 12A and 12B, the table 300 may be configured as a lifting table, that is, the distance between the table top and the user may be changed. Sometimes the incorrect posture of the user is not caused by bad habits of the user, but is caused by too high or too low desktop, for example, when the desktop is too low, the user can only keep a long-time head-lowering state for a person with a high height. With the posture detecting device 100, the height of the table 300 can be adaptively adjusted.
For example, when a user sits in front of the table 300 to read a book, the detector 101 of the posture detecting apparatus 100 may acquire the position of the tabletop of the table 300, the position of the eyes of the user, and the position of the shoulders of the user, and send related data to the processor 102, and the processor 102 can determine whether the current tabletop is too high or too low and whether the posture of the current user is proper. If the result of the processing is that the table 300 is in an excessively high state, the processor 102 can send a signal to the table 300 that can be lifted up or down to adjust the height of the table 300 to a reasonable range.
It should be noted that, the table 300 of the table 300 kit 1 provided in this embodiment can be lifted automatically by the posture detection device 100, while the lifting table in the market currently requires the user to press a button actively and then drive a motor to lift.
Further, if the user has selected to actively change the posture when the height of the tabletop of the table 300 is too high, for example, by adjusting the height of the chair to keep the head of the user and the tabletop at a proper distance, the posture detection apparatus 100 does not send an instruction to the table 300 after detecting the posture change of the user.
According to the utility model discloses an on the other hand, the utility model provides an attitude detection method, wherein attitude detection method includes following step:
obtaining attitude information of a target object by two of the detectors 101;
judging the posture of the target object to be an incorrect posture based on the posture information; and
the prompter 103 sends out a prompt to the target object, so that the target object can actively correct the posture of the target object.
According to an embodiment of the present invention, in the posture detection method, it is determined that the target object is in a sitting posture based on the posture information, and the sitting posture is an incorrect posture. The determination may be made by comparing the pose information to some conventional poses of the target object or to standard poses in a pose database. For example, the relative position data of the shoulder and waist of the target object and the relative position data of the head and shoulder of the target object may be compared to determine whether the target object is in an incorrect posture. It can be understood that the gesture of the target object in a past period of time may be comprehensively analyzed to determine whether the target object has a bad gesture at a certain frequency, or the gesture of the target object in real time may be analyzed. It can be understood that, by the posture detection method, not only can the sitting posture of the target object be determined to be in a bad state, but also the standing posture, the lying posture and the like of the target object can be determined to be in a bad state.
According to the utility model discloses an embodiment in the gesture detection method, based on the current gesture of this target object of gesture information analysis, if this target object is in a position of sitting, then continue to judge whether the standard is to the position of sitting, if this target object gesture just now is for stretching down lazy waist or standing up suddenly, then can not need to judge whether this target object's gesture is a correct gesture. In this way, some normal postures of the target object can be excluded to reduce misjudgment. For example, the target subject may suddenly lie on a table for rest after maintaining a correct sitting posture for a period of time, and the prone posture may not be analyzed for a sitting posture. It can be understood that what posture of the target object needs to be analyzed and prompted can be set, for example, for a student group, a sitting posture can be set as a main detection target, and for an etiquette staff, a standing posture can be set as a main detection target.
According to an embodiment of the present invention, in the gesture detection method, when at least one of the detectors 101 is a camera, the illumination condition in the current environment is analyzed based on the light data captured by the camera; the luminaire 108 is controlled to enhance the illumination if the illumination in the current environment is insufficient. For example, when the detector 101 detects that the illumination intensity in the room is too strong during the day, the processor 102 may control the illuminator 108 to stop working. Over time, the processor 102 may control the luminaire 108 to start operating as the natural illumination in the room fades, and gradually increase the illumination as the illumination fades.
According to an embodiment of the present invention, in the posture detection method, the height of the desktop to which the target object faces is analyzed with respect to the target object based on the posture information of the target object, and if the current desktop is too low with respect to the height of the target object, the desk 300 is controlled to be raised.
It will be understood by those skilled in the art that the embodiments of the present invention as described above and shown in the drawings are given by way of example only and are not limiting of the present invention. The objects of the present invention have been fully and effectively accomplished. The functional and structural principles of the present invention have been shown and described in the embodiments without departing from the principles, embodiments of the present invention may have any deformation or modification.

Claims (16)

1. An attitude detecting apparatus for detecting an attitude of a target object, comprising:
a processor;
at least two detectors, wherein at least one of the detectors is arranged in front of the target object and at least one of the detectors is arranged at the side of the target object; and
and the prompter is communicatively connected with the processor, processes the information about the user posture detected by the detector, and sends a prompt to the target object to prompt the target object to adjust the posture if the posture needs to be adjusted as a result of the processing.
2. The attitude detection apparatus according to claim 1, wherein the number of the detectors is three, one is an infrared sensor, one is a camera, one is a laser sensor, and the camera and the laser sensor are adapted to be disposed on a side of the target object, the infrared sensor is adapted to be disposed in front of the target object.
3. The attitude detection apparatus according to claim 1, wherein the number of said detectors is two, the two said detectors are two cameras respectively and are arranged in front of and to the side of the target object respectively.
4. The attitude detection apparatus according to claim 1, wherein one of the two detectors is an attitude detector for detecting an attitude of the target object, and the other is an image sensor for acquiring real-time image information of the target object.
5. The gesture detection apparatus according to claim 1, wherein at least one of the detectors of the gesture detection apparatus is a light sensor, and when the light data detected by the detector exceeds a preset range, the processor controls the prompter to issue a prompt, so that the target object is adjusted for the light intensity in the environment.
6. The posture-detecting device of claim 1, wherein the posture-detecting device is adapted to be disposed on a table, and at least one of the detectors is liftably disposed on the table so that the position of the detector can be adjusted as the height of the target object changes, wherein the posture-detecting device further comprises a communicator, and a memory, wherein the processor is communicably connected to the communicator to transmit information to the outside by means of the communicator and to receive information from the outside, and the memory is communicably connected to the processor, wherein the prompter issues a prompt in a vibrating, lighting or sounding manner, wherein one of the detector, the processor, and the prompter is integrated and is for being disposed at a side of the target object, and the detector for being disposed in front of the target object is communicably connected to the processor, wherein said gesture detection apparatus further comprises a luminaire, wherein said luminaire is controllably connected to said processor, said processor controlling the variation of the illumination intensity of said luminaire based on the light data detected by said detector.
7. A table kit for detecting a pose of a target object, comprising:
a table; and
an attitude detecting device, wherein the attitude detecting device is provided to the table, the attitude detecting device comprising:
a processor;
at least two detectors, wherein at least one of the detectors is arranged in front of the target object and at least one of the detectors is arranged at the side of the target object; and
and the prompter is communicatively connected with the processor, processes the information about the user posture detected by the detector, and sends a prompt to the target object to prompt the target object to adjust the posture if the posture needs to be adjusted as a result of the processing.
8. The table kit as claimed in claim 7, wherein the number of detectors is three, one is an infrared sensor, one is a camera and one is a laser sensor, and the camera and the laser sensor are for being arranged to the side of the target object, and the infrared sensor is for being arranged to the front of the target object.
9. The table kit as claimed in claim 7, wherein one of the two detectors is a gesture detector for detecting a gesture of the target object and the other is an image sensor for acquiring real-time image information of the target object.
10. A desk kit as claimed in claim 7 wherein said desk is a lift desk and is controllably elevationally connected to said attitude sensing means.
11. The table kit as claimed in claim 7, wherein at least one of the detectors of the gesture detecting device is a light sensor, and the processor controls the prompter to issue a prompt when the light data detected by the detector exceeds a preset range, so that the target object is adjusted for the light intensity in the environment.
12. The table set as claimed in claim 7, wherein the posture detecting means is adapted to be disposed at a table, and at least one of the detectors is liftably disposed at the table so that the position of the detector can be adjusted as the height of the target object changes, wherein the posture detecting means further comprises a communicator and a memory, wherein the processor is communicably connected to the communicator to transmit information to the outside by the communicator and receive information from the outside, the memory is communicably connected to the processor, wherein the prompter emits a prompt in a vibration, light or sound manner, wherein one of the detector, the processor and the prompter is integrated and is for being disposed at a side of the target object, the detector for being disposed in front of the target object is communicably connected to the processor, wherein said gesture detection apparatus further comprises a luminaire, wherein said luminaire is controllably connected to said processor, said processor controlling the variation of the illumination intensity of said luminaire based on the light data detected by said detector.
13. An attitude detection system for detecting an attitude of a target object, comprising:
a detection unit, wherein the detection unit comprises at least two detectors, wherein the detectors are respectively used for acquiring attitude information of the target object in a detection environment, at least one of the detectors is used for being arranged in front of the target object, and at least one of the detectors is used for being arranged at the side of the target object;
a processing unit, wherein the detection unit is communicatively connected to the processing unit; and
a prompting unit, wherein the prompting unit is communicably connected to the processing unit, and the prompting unit issues a prompt in the detection environment when the processing unit judges that the posture needs to be adjusted based on the information of the detection unit.
14. The posture detection system of claim 13, wherein the prompting unit issues a prompt in a manner of vibration, light emission, or sound emission.
15. The posture detection system of claim 13, further comprising a table, wherein the table is height-controllably connected to the processing unit, and the processing unit controls the table to be raised or lowered when the processing unit judges that the current table is too high or too low in height with respect to the target object based on the data obtained by the detection unit.
16. The pose detection system of claim 13, further comprising a luminaire, wherein said luminaire is intensity-controllably connected to said processing unit, said processing unit controlling said luminaire to enhance intensity when said processing unit determines that the current illumination intensity is too dark based on data obtained by said detection unit.
CN202022110155.4U 2019-09-29 2020-09-23 Posture detection system, posture detection device, and table kit Expired - Fee Related CN212679100U (en)

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