CN110859402A - Intelligent learning table based on motion sensing technology - Google Patents
Intelligent learning table based on motion sensing technology Download PDFInfo
- Publication number
- CN110859402A CN110859402A CN201911178458.5A CN201911178458A CN110859402A CN 110859402 A CN110859402 A CN 110859402A CN 201911178458 A CN201911178458 A CN 201911178458A CN 110859402 A CN110859402 A CN 110859402A
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- CN
- China
- Prior art keywords
- learning table
- central control
- control device
- table based
- motion sensing
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B9/00—Tables with tops of variable height
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B13/00—Details of tables or desks
- A47B13/02—Underframes
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B97/00—Furniture or accessories for furniture, not provided for in other groups of this subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B2200/00—General construction of tables or desks
- A47B2200/0035—Tables or desks with features relating to adjustability or folding
- A47B2200/005—Leg adjustment
- A47B2200/0062—Electronically user-adaptable, height-adjustable desk or table
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The invention discloses an intelligent learning table based on a somatosensory technology, which comprises a table body and a base, wherein the table body is provided with a central control device and a gesture recognition device connected with a signal input end of the central control device; the base is a base with the functions of up-down lifting adjustment, front-back movement adjustment and front-back overturning adjustment. Through the invention, a user can adjust the up-and-down lifting, the front-and-back movement or the front-and-back overturning of the learning table by making simple gestures, so that even if parents or teachers are not beside the learning table, primary and secondary school students can independently complete the adjusting process, the time and the strength are saved, the interest of the primary and secondary school students in the learning table can be stimulated, the students are willing to sit on the learning table, and the learning table has the precondition. In addition, two display screens are arranged on the desktop, so that students can watch and study, the two display screens display simultaneously, and the guidance of parents or teachers is facilitated.
Description
Technical Field
The invention relates to the field of intelligent chemical learning tools, in particular to an intelligent learning table based on a motion sensing technology.
Background
The study table is an indispensable learning tool for primary and secondary school students, and influences the learning efficiency of the students to a certain extent. Traditional study table does not have other functions, and only a few simple panels are spliced to form, on the one hand sit for a long time and study and let primary and secondary school student produce tired easily, on the other hand some problems appear easily when using, for example the desk needs adaptability to be adjusted sometimes, this is to primary and secondary school student comparatively difficult, and is very inconvenient under the condition of not having the head of a family.
The motion sensing technology (motion sensing control) means that people can directly use limbs to move and interact with peripheral devices or environments without using any complex control equipment, and people can interact with contents in the way of seeing the situation. As early as 2005, Sony introduced an optical sensing suite, EyeToy, which acquired human body images mainly through optical sensors and interacted the body movements of the human body images with the contents of the game, mainly based on a 2D plane, but the contents also belong to a simpler type of interactive game. For another example, most of existing smart phones have a gesture motion sensing function, and some simple controls can be realized.
Disclosure of Invention
The invention aims to provide an intelligent learning table based on a motion sensing technology, which applies the motion sensing technology to the learning table and overcomes the defects that the traditional learning table is single in function, incapable of attracting students to learn and difficult to adjust.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
an intelligent learning table based on a somatosensory technology comprises a table body and a base,
the desk body is provided with a central control device and a gesture recognition device connected with a signal input end of the central control device;
the base is a base with the functions of up-down lifting adjustment, front-back movement adjustment and front-back overturning adjustment.
The further improvement is that the central control device is an AVR main control panel.
The further improvement is that the gesture recognition device is a Leapmotion gesture recognizer.
The further improvement lies in that a three-dimensional gesture library is built in the central control device, and the three-dimensional gesture library comprises: advancing, receding, inward winding, outward winding, upward and downward.
The desk is further improved in that a display device is further arranged on the desk body and connected to a signal output end of the central control device.
In a further refinement, the display device comprises a first display screen and a second display screen.
The improved desk is characterized in that the base comprises a horizontal supporting plate, a vertical supporting plate and a rotating box, the vertical supporting plate is movably connected with the horizontal supporting plate in a perpendicular mode, the rotating box is connected with the vertical supporting plate through an electric shaft, a telescopic rod is arranged at the top end of the rotating box, and the top end of the telescopic rod is connected to the lower end of the desk body.
The improved structure is characterized in that an electric sliding block is arranged at the lower end of the vertical supporting plate, a sliding groove is formed in the horizontal supporting plate, and the electric sliding block is embedded in the sliding groove to realize movable connection between the vertical supporting plate and the horizontal supporting plate;
the electric sliding block is connected with a first stepping motor, the electric shaft is connected with a second stepping motor, the telescopic rod is connected with a third stepping motor, and the first stepping motor, the second stepping motor and the third stepping motor are all connected to a signal output end of the central control device.
The invention has the beneficial effects that: the user can realize the regulation of going up and down, back-and-forth movement or the regulation of overturning from beginning to end to study the table through making simple gesture, even head of a family or mr is not beside like this, the primary and secondary school student also can independently accomplish the accommodation process by oneself, saves time and strength to can arouse the primary and secondary school student to the interest of study table, make it wish to sit on study table, just possess the prerequisite of study like this. In addition, two display screens are arranged on the desktop, so that students can watch and study, the two display screens display simultaneously, and the guidance of parents or teachers is facilitated.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a control schematic of the present invention;
FIG. 3 is a diagram illustrating a detection range of the gesture recognition apparatus;
the device comprises a table body 1, a base 2, a horizontal supporting plate 21, a vertical supporting plate 22, an electric shaft 23, a rotating box 24, a telescopic rod 25, an electric sliding block 26, a first stepping motor 27, a second stepping motor 28, a third stepping motor 29, a central control device 3, a gesture recognition device 4, a three-dimensional gesture library 5 and a display device 6.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below by combining the specific drawings.
Referring to fig. 1 and 2, an intelligent learning table based on a motion sensing technology includes a table body 1 and a base 2.
Wherein, the table body 1 is provided with a central control device 3 and a gesture recognition device 4 connected with the signal input end of the central control device 3; the base 2 is a base 2 with the functions of up-down lifting adjustment, front-back moving adjustment and front-back overturning adjustment.
The central control device 3 is an AVR main control board, which is a minimum system board using an ATMGEA32 single chip microcomputer as a control core and provides a plurality of USB communication interfaces for inputting and outputting signals. The gesture recognition device 4 is a leapmion gesture recognizer, and as shown in fig. 3, it detects and recognizes physical characteristics of a single hand within an angle range of 120 ° by using infrared light, and transmits related signals through a USB interface on the central control device 3.
The central control device 3 is internally provided with a three-dimensional gesture library 5, and the three-dimensional gesture library 5 comprises: advancing, receding, inward winding, outward winding, upward and downward.
The table body 1 is also provided with a display device 6, and the display device 6 is connected with the signal output end of the central control device 3. The display device 6 comprises a first display screen and a second display screen, and the model of the display screen is SMC 1602A.
In addition, the base 2 comprises a horizontal support plate 21, a vertical support plate 22 vertically and movably connected with the horizontal support plate 21, and a rotary box 24 connected with the vertical support plate 22 through an electric shaft 23, wherein a telescopic rod 25 is arranged at the top end of the rotary box 24, and the top end of the telescopic rod 25 is connected to the lower end of the table body 1. The lower end of the vertical supporting plate 22 is provided with an electric sliding block 26, the horizontal supporting plate 21 is provided with a sliding groove, and the electric sliding block 26 is embedded on the sliding groove to realize the movable connection of the vertical supporting plate 22 and the horizontal supporting plate 21; the electric sliding block 26 is connected with a first stepping motor 27, the electric shaft 23 is connected with a second stepping motor 28, the telescopic rod 25 is connected with a third stepping motor 29, and the first stepping motor 27, the second stepping motor 28 and the third stepping motor 29 are all connected to the signal output end of the central control device 3.
The base 2 can be adjusted in all directions through the gesture recognition device 4, data needs to be established on the three-dimensional gesture library 5 before adjustment, and then gesture control is carried out. The method comprises the following specific steps:
And 2, operating above the leapfunction gesture recognizer by a user to form different gestures, and acquiring hand motion data in real time by the leapfunction and comparing the hand motion data with a gesture library.
And 3, identifying whether the user gesture belongs to one of the adjusting actions of the base or not by comparison, if so, sending character data representing the corresponding action of the base to the central control device 3, and sending a control signal through the central control device 3 to realize the adjusting action of the base 2.
Through the design of the steps, a LeapMotion-based three-dimensional gesture library and a corresponding matching identification method can be constructed, and the identification result is sent to the central control device 3.
For example: forward movement-the vertical support plate moves forward
Move backward-the vertical support plate moves backward
Inward winding-the rotating box rotates inwards
Outward winding-the rotating box rotates outward
Up-moving-extension of telescopic rod
Down-moving-telescopic rod shortening
By adopting the operation method, the learning table, the LeapMotion gesture recognizer and the user can form a unified whole, the gesture action of the user is input into the LeapMotion gesture recognizer, and then the learning table is controlled through the LeapMotion gesture recognizer, so that the somatosensory gesture control method is realized to adjust the learning table.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The utility model provides an intelligence study table based on body is felt technique, includes the table body (1) and base (2), its characterized in that:
the desk body (1) is provided with a central control device (3) and a gesture recognition device (4) connected with a signal input end of the central control device (3);
the base (2) has the functions of up-down lifting adjustment, front-back movement adjustment and front-back overturning adjustment.
2. The intelligent learning table based on the motion sensing technology is characterized in that: the central control device (3) is an AVR main control panel.
3. The intelligent learning table based on the motion sensing technology is characterized in that: the gesture recognition device (4) is a Leapmotion gesture recognizer.
4. The intelligent learning table based on the motion sensing technology is characterized in that: the central control device (3) is internally provided with a three-dimensional gesture library (5), and the three-dimensional gesture library (5) comprises: advancing, receding, inward winding, outward winding, upward and downward.
5. The intelligent learning table based on the motion sensing technology is characterized in that: the table body (1) is further provided with a display device (6), and the display device (6) is connected to the signal output end of the central control device (3).
6. The intelligent learning table based on the motion sensing technology is characterized in that: the display device (6) comprises a first display screen and a second display screen.
7. The intelligent learning table based on the motion sensing technology is characterized in that: base (2) include horizontal support board (21) to and vertical support board (22) with horizontal support board (21) perpendicular swing joint, and rotatory case (24) of being connected through electronic axle (23) and vertical support board (22), rotatory case (24) top is equipped with telescopic link (25), the lower extreme at the table body (1) is connected on telescopic link (25) top.
8. The intelligent learning table based on the motion sensing technology is characterized in that: the lower end of the vertical supporting plate (22) is provided with an electric sliding block (26), the horizontal supporting plate (21) is provided with a sliding groove, and the electric sliding block (26) is embedded on the sliding groove to realize movable connection between the vertical supporting plate (22) and the horizontal supporting plate (21);
the electric sliding block (26) is connected with a first stepping motor (27), the electric shaft (23) is connected with a second stepping motor (28), the telescopic rod (25) is connected with a third stepping motor (29), and the first stepping motor (27), the second stepping motor (28) and the third stepping motor (29) are all connected to a signal output end of the central control device (3).
Priority Applications (1)
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CN201911178458.5A CN110859402A (en) | 2019-11-27 | 2019-11-27 | Intelligent learning table based on motion sensing technology |
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CN201911178458.5A CN110859402A (en) | 2019-11-27 | 2019-11-27 | Intelligent learning table based on motion sensing technology |
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CN110859402A true CN110859402A (en) | 2020-03-06 |
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CN201911178458.5A Withdrawn CN110859402A (en) | 2019-11-27 | 2019-11-27 | Intelligent learning table based on motion sensing technology |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112674463A (en) * | 2020-07-29 | 2021-04-20 | 乐歌人体工学科技股份有限公司 | Lifting table and control method and control device thereof |
-
2019
- 2019-11-27 CN CN201911178458.5A patent/CN110859402A/en not_active Withdrawn
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112674463A (en) * | 2020-07-29 | 2021-04-20 | 乐歌人体工学科技股份有限公司 | Lifting table and control method and control device thereof |
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Application publication date: 20200306 |