CN210573844U - Wrist skin texture morphological change acquisition equipment and instruction output equipment - Google Patents

Wrist skin texture morphological change acquisition equipment and instruction output equipment Download PDF

Info

Publication number
CN210573844U
CN210573844U CN201921717090.0U CN201921717090U CN210573844U CN 210573844 U CN210573844 U CN 210573844U CN 201921717090 U CN201921717090 U CN 201921717090U CN 210573844 U CN210573844 U CN 210573844U
Authority
CN
China
Prior art keywords
wrist
skin texture
dial
hand
instruction
Prior art date
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.)
Active
Application number
CN201921717090.0U
Other languages
Chinese (zh)
Inventor
胡团伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Yuanyu Intelligent Equipment Technology Co.,Ltd.
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201921717090.0U priority Critical patent/CN210573844U/en
Application granted granted Critical
Publication of CN210573844U publication Critical patent/CN210573844U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • User Interface Of Digital Computer (AREA)

Abstract

The utility model provides a wrist skin texture form change acquisition device and an instruction output device, relating to the technical field of operation and identification, wherein the instruction output method based on the wrist skin texture form change comprises the steps of acquiring wrist or back skin texture form images caused by finger actions; identifying the wrist or back skin texture form image to generate an identification result, wherein the identification result represents an output instruction corresponding to the wrist or back skin texture form image; because the fingers can make more gesture actions, the utility model solves the problem that the instruction output of other existing modes is not rich enough; the texture form corresponding to each finger action is stable and is obviously different from other actions, so the utility model solves the problem that the instruction output of the prior other modes is not accurate enough; because can with the utility model discloses use on wearing equipment, consequently the utility model provides a current instruction output of other modes not convenient enough problem.

Description

Wrist skin texture morphological change acquisition equipment and instruction output equipment
Technical Field
The utility model relates to an operation discernment technical field specifically is a wrist skin texture morphological change's collection equipment and instruction output device.
Background
Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) are important development directions in the future as hot spots of technological progress, and devices such as smart glasses are the most important hardware devices in the above-mentioned trend.
The popularization of the current intelligent glasses faces several bottlenecks in the technology, including display capacity, operation speed and instruction control, the former two are hopeful to be solved in a short time along with the further improvement of hardware integration, and the remaining instruction control problem is a big bottleneck of the current intelligent glasses.
The instruction manipulation schemes that have been implemented and are possible to implement are shown in the following table:
instruction manipulation Scheme(s) Push-button Sound control Eyeball Remote controller Gloves Gesture
Principle of the apparatus By pressing On the glasses Inputting by pressing a key In control By sound Control of By taking pictures Head tracking eye Movement of the ball To control Hand-held remote control Controller control Wearing transmitter Hand of sensor Is controlled by a sleeve By taking pictures Head catching hand The action of the gesture is that the gesture is performed, outputting instructions
Convenience of use Whether or not Whether or not Whether or not Whether or not Whether or not Whether or not
Richness of the product Whether or not Whether or not Whether or not Is that Whether or not Whether or not
Accuracy of Is that Whether or not Whether or not Is that Is that Whether or not
For command manipulation of smart glasses and the like, there are generally three requirements: convenience, richness and accuracy, and the existing instruction control schemes in the tables cannot meet the requirements of convenience, richness and accuracy at the same time.
SUMMERY OF THE UTILITY MODEL
The utility model aims to provide an instruction output device based on the change of the texture form of the skin on the wrist, which aims to solve the problem that the instruction control schemes in the prior art can not meet the requirements of convenience, richness and accuracy at the same time; still provide the collection equipment of wrist skin texture morphological change, aim at solving the problem that skin texture image acquisition equipment among the prior art can not convenient, gather the image in real time.
In order to achieve the above purpose, the utility model adopts the following technical scheme: the instruction output method based on the wrist skin texture morphological change comprises the following steps:
collecting a wrist or hand back skin texture form image caused by finger movement;
identifying the wrist or back skin texture form image to generate an identification result, wherein the identification result represents an output instruction corresponding to the wrist or back skin texture form image;
and outputting the output instruction to terminal equipment according to the identification result.
The output instruction corresponding to the wrist or hand back skin texture form image represented by the identification result comprises:
pre-storing characteristic values of the wrist or back skin texture form images corresponding to a plurality of output instructions;
extracting characteristic variables of the skin texture image from the wrist or hand back skin texture morphology image;
matching the extracted characteristic variables of the skin texture image with the characteristic values of the wrist or back skin texture morphology image corresponding to the plurality of output instructions;
and the output instruction corresponding to the characteristic value of the matched wrist or hand back skin texture form image is an identification result.
The characteristic value of the wrist or back skin texture form image corresponding to the pre-stored output instructions can be customized by a user, and different wrist or back skin texture form images correspond to different output instructions.
And the output instruction is output to the terminal equipment and comprises Bluetooth signal connection, WIFI signal connection, satellite signal connection, 5G signal connection, 4G signal connection and data line signal connection.
The instruction output method further comprises the step of collecting the skin texture shape image of the back of the hand caused by the finger action, and the step of collecting the skin texture shape image of the back of the hand caused by the finger action and the step of collecting the skin texture shape image of the wrist or the back of the hand caused by the finger action are carried out simultaneously.
An instruction output device based on wrist skin texture morphological changes, comprising:
the first camera is used for collecting a wrist or back skin texture form image caused by finger movement;
the instruction recognizer is used for recognizing an output instruction corresponding to the wrist or hand back skin texture form image;
and the instruction output device is used for outputting the output instruction to the terminal equipment.
The instruction recognizer includes:
a characteristic database: the characteristic value of the wrist or back skin texture form image corresponding to a plurality of output instructions is stored in advance;
a feature extractor: extracting characteristic variables of the skin texture image from the wrist or hand back skin texture morphology image;
a characteristic matcher: and matching the extracted characteristic variables of the skin texture image with the characteristic values of the wrist or back skin texture form image corresponding to the output instructions, wherein the output instructions corresponding to the characteristic values of the wrist or back skin texture form image after matching are recognition results.
The instruction output device comprises a signal transmission module, and the signal transmission module adopts Bluetooth signal connection, WIFI signal connection, satellite signal connection, 5G signal connection, 4G signal connection and data line signal connection.
The system comprises a first camera and a second camera, wherein the first camera is used for collecting skin texture morphology images of the back of the hand caused by finger actions, and the collection of the skin texture morphology images of the back of the hand caused by the finger actions and the collection of the skin texture morphology images of the wrist or the back of the hand caused by the finger actions are carried out simultaneously.
The wrist watch comprises a wrist dial plate, a back of the hand dial plate, a watchband, a touch display screen and a processor, wherein the wrist dial plate is in wrist contact with a wrist close to the front of a palm, the back of the hand dial plate is in wrist contact with a wrist close to the back of the palm, the watchband is used for enabling the wrist dial plate and the back of the hand dial plate to be worn on the wrist, the touch display screen is arranged on the back of the hand dial plate, and the processor is arranged in the wrist dial plate and/or the back of the hand dial plate.
An acquisition device of wrist skin texture morphology changes, comprising:
a wrist dial in contact with the wrist near the front of the palm;
a watch band for wearing the wrist dial on the wrist;
the first camera is arranged on a circular plane of the wrist dial plate facing to the wrist and is used for collecting the skin texture form images of the wrist or the back of the hand caused by the action of fingers.
The acquisition device further comprises:
a back dial in contact with the wrist near the back of the palm;
the second camera is arranged on the circumferential side surface of the hand back dial plate facing to the hand back and is used for collecting the skin texture form images of the hand back caused by finger actions;
wherein the watch back dial is also mounted on the watch band.
The acquisition device further comprises: the hand-back watch comprises a touch display screen arranged on the hand-back dial plate and a processor arranged in the wrist dial plate and/or the hand-back dial plate.
The utility model has the advantages that:
1. the utility model discloses a corresponding output instruction through gathering wrist portion or back of the hand skin texture form image that the finger action arouses, because the finger can make more gesture movements, therefore the utility model solves the problem that the instruction output of other existing modes is not abundant enough;
2. because each finger action strictly corresponds to a unique wrist or hand skin texture form, the texture form corresponding to each finger action is stable and is obviously different from other actions, the utility model solves the problem that the instruction output of the existing other modes is not accurate enough;
3. the utility model can be applied to wearable equipment, so the utility model solves the problem that the instruction output of other existing modes is not convenient enough;
4. through setting up first camera at the wrist dial plate, make the skin of the accurate corresponding wrist department of first camera, can make the utility model discloses the skin texture form image of collection wrist department or hand that can be convenient has solved the problem that can not be convenient among the prior art, the skin texture form image of real-time collection wrist department or hand.
Drawings
FIG. 1 is a logic block diagram of a particular embodiment of an instruction output device based on wrist skin texture morphology changes.
FIG. 2 is a logic block diagram of the instruction identifier of FIG. 1.
FIG. 3 is a logic block diagram of another embodiment of an instruction output device based on wrist skin texture morphology changes.
Fig. 4 is a top view of the instruction output device based on the wrist skin texture morphological change.
Fig. 5 is a bottom view of the command output device based on the wrist skin texture morphological changes.
Detailed Description
The following description will further describe embodiments of the present invention with reference to the accompanying drawings.
A wrist skin texture form change-based instruction output method comprises the steps of collecting a wrist or hand back skin texture form image caused by finger movement; identifying the wrist or back skin texture form image to generate an identification result, wherein the identification result represents an output instruction corresponding to the wrist or back skin texture form image; outputting the output instruction to terminal equipment according to the identification result; optionally, the terminal device includes an unmanned aerial vehicle, a remote control car, a household appliance, a mobile phone, a computer, smart glasses and the like.
The output instruction corresponding to the wrist or hand back skin texture form image represented by the identification result comprises: pre-storing characteristic values of the wrist or back skin texture form images corresponding to a plurality of output instructions; extracting characteristic variables of the skin texture image from the wrist or hand back skin texture morphology image; matching the extracted characteristic variables of the skin texture image with the characteristic values of the wrist or back skin texture morphology image corresponding to the plurality of output instructions; and the output instruction corresponding to the characteristic value of the matched wrist or hand back skin texture form image is an identification result.
Since finger movements cause changes in the skin texture morphology of the wrist or hand, and since the skin texture is both fine and numerous, each finger movement corresponds strictly to a unique wrist or hand skin texture morphology, with each finger movement corresponding to a texture morphology that is stable and significantly different from the other movements; therefore, when the feature values of the wrist or back skin texture form images corresponding to a plurality of output commands are stored in advance, if a certain finger motion is made, for example, the index finger is bent, the wrist or back skin texture form image captured by the camera is set as a certain command, for example, a command of "forward" by setting the feature value of the wrist or back skin texture form image corresponding to the bent index finger; therefore, when the user again makes the action of bending the index finger, the camera again shoots the wrist or back skin texture form image corresponding to the bent index finger, extracts the characteristic variable of the skin texture image from the wrist or back skin texture form image, and matches the extracted characteristic variable of the skin texture image with the characteristic value of the wrist or back skin texture form image corresponding to the output commands, and then the recognition result is a forward command.
It should be noted that, in the pre-stored setting process of the instruction, more actions can be taken, for example, each hand bends a finger independently, and there are 5 actions; the thumb is buckled with other four fingers, so that 4 actions can be realized; chinese people express 1-9 gestures with fingers and can generate 9 actions; with a fist, the kind of actions that can be conveniently performed by one hand is at least 19, and if the actions of the left hand and the right hand are combined as one action, 19 × 19=361 actions are generated. When the device is used by one hand, at least 19 instructions can be output; when used with both hands, at least 19 x 2+19 x 19=399 instructions will be achievable. This order of magnitude of command output is extremely abundant even for text input work on a computer.
In this embodiment, when a simple instruction needs to be output through finger action, the method can be applied to simple devices such as an unmanned aerial vehicle, a remote control automobile and a household appliance, and the devices generally only need simple instructions such as startup and shutdown, determination, return, front, back, left and right, and the like; when a complex instruction needs to be output through finger action, the method can be applied to equipment such as a mobile phone, a computer, intelligent glasses and the like, and can output amplification, reduction and 0-9 ten digits besides simple instructions such as startup and shutdown, determination, return, front, back, left and right and the like, so that the degree of freedom of controlling the equipment by people is increased; especially use in virtual reality such as the recreation in intelligent eyes etc., augmented reality, mixed reality scene, through the utility model discloses can project the finger action in the real world in above-mentioned scene, for example, the user is crooked forefinger in the real world, through the utility model discloses can realize the crooked forefinger action of same degree, rhythm in above-mentioned scene.
Of course, the specific application range of the present invention described above is only for illustration and should not be construed as a limitation to the specific application range of the present invention.
To sum up, the utility model outputs the instruction correspondingly by collecting the skin texture shape image of the wrist or the back of the hand caused by the finger action, and the finger can make more gesture actions, so the utility model solves the problem that the instruction output of other existing modes is not rich enough; because each finger action strictly corresponds to a unique wrist or hand skin texture form, the texture form corresponding to each finger action is stable and is obviously different from other actions, the utility model solves the problem that the instruction output of the existing other modes is not accurate enough; because can with the utility model discloses use on wearing equipment such as bracelet or wrist-watch, consequently the utility model provides a current problem that the instruction output of other modes is not convenient enough.
Optionally, the camera may not be limited to a camera capable of collecting visible light, but may also be a camera capable of collecting infrared wavelengths, and of course, a camera capable of collecting light rays with other wavelengths may be selected as required.
In a specific embodiment of the present invention, the characteristic value of the wrist or back skin texture form image corresponding to the pre-stored plurality of output instructions can be customized by a user, and different wrist or back skin texture form images correspond to different output instructions; the characteristic values of the wrist or back skin texture form images corresponding to the plurality of pre-stored output instructions are customized, so that the user can modify the output instructions corresponding to different finger actions conveniently at any time.
Specifically, outputting the output instruction to the terminal device includes bluetooth signal connection, WIFI signal connection, satellite signal connection, 5G signal connection, 4G signal connection, and signal connection of a data line.
In a specific embodiment of the present invention, the instruction output method further includes collecting a skin texture shape image of a back of the hand caused by the finger movement, and the collecting the skin texture shape image of the back of the hand caused by the finger movement and the collecting the skin texture shape image of the wrist or the back of the hand caused by the finger movement are performed simultaneously; the identification precision of the finger actions is further improved by adding a group of cameras for collecting the skin texture shape images of the back of the hand, recording the wrist or hand texture shape and the back texture shape corresponding to one finger action, establishing a corresponding relation between the wrist or hand texture shape and the finger action, and further relating the wrist or hand texture shape and the back texture shape into command output.
An instruction output device based on wrist skin texture form change, as shown in fig. 1, includes a first camera 12 for collecting wrist or back skin texture form images caused by finger movements; the instruction recognizer is used for recognizing an output instruction corresponding to the wrist or hand back skin texture form image; and the instruction output device is used for outputting the output instruction to the terminal equipment. As shown in fig. 2, the instruction recognizer includes, a feature database: the characteristic value of the wrist or back skin texture form image corresponding to a plurality of output instructions is stored in advance; a feature extractor: extracting characteristic variables of the skin texture image from the wrist or hand back skin texture morphology image; a characteristic matcher: and matching the extracted characteristic variables of the skin texture image with the characteristic values of the wrist or back skin texture form image corresponding to the output instructions, wherein the output instructions corresponding to the characteristic values of the wrist or back skin texture form image after matching are recognition results.
Since finger movements cause changes in the skin texture morphology of the wrist or hand, and since the skin texture is both fine and numerous, each finger movement corresponds strictly to a unique wrist or hand skin texture morphology, with each finger movement corresponding to a texture morphology that is stable and significantly different from the other movements; therefore, when the feature values of the wrist or back skin texture form images corresponding to a plurality of output commands are stored in advance, if a certain finger motion is made, for example, the index finger is bent, the wrist or back skin texture form image captured by the camera is set as a certain command, for example, a command of "forward" by setting the feature value of the wrist or back skin texture form image corresponding to the bent index finger; therefore, when the user again makes the action of bending the index finger, the camera again shoots the wrist or back skin texture form image corresponding to the bent index finger, extracts the characteristic variable of the skin texture image from the wrist or back skin texture form image, and matches the extracted characteristic variable of the skin texture image with the characteristic value of the wrist or back skin texture form image corresponding to the output commands, and then the recognition result is a forward command.
Preferably, the instruction output device comprises a signal transmission module, and the signal transmission module adopts bluetooth signal connection, WIFI signal connection, satellite signal connection, 5G signal connection, 4G signal connection and data line signal connection; of course, other wired or wireless signal transmission modules may be used.
As shown in fig. 3, the instruction output device further includes a second camera 21, configured to collect an image of skin texture of the back of the hand caused by finger movement, where the collection of the image of skin texture of the back of the hand caused by finger movement and the collection of the image of skin texture of the wrist or back of the hand caused by finger movement are performed simultaneously; the identification precision of the finger actions is further improved by adding a group of cameras for collecting the skin texture shape images of the back of the hand, recording the wrist or hand texture shape and the back texture shape corresponding to one finger action, establishing a corresponding relation between the wrist or hand texture shape and the finger action, and further relating the wrist or hand texture shape and the back texture shape into command output.
As shown in fig. 4 and 5, the instruction output device further includes a wrist dial 1 that is in contact with the wrist near the palm front, a back dial 2 that is in contact with the wrist near the palm back, a band 3 for wearing the wrist dial 1 and the back dial 2 on the wrist, a touch display screen 22 provided on the back dial 2, and a processor installed in the wrist dial 1 and/or the back dial 2, the processor including the instruction recognizer, the first camera 12 being installed on a circular plane of the wrist dial 1 facing the wrist, and the second camera 21 being installed on a circumferential side of the back dial 2 facing the back.
After the watchband 3 is worn on the hand, the wrist dial 1 is close to the wrist on the front face of the palm, and as shown in fig. 5, the first camera 12 is made to face the skin on the wrist; and the back of the hand dial 2 is close to the wrist at the back of the palm, so that the second camera 21 faces the skin at the back of the hand; and the touch screen 22 is used for displaying and touch-controlling setting of various information parameters.
A collection equipment of wrist skin texture morphological change comprises a wrist dial plate 1 contacted with a wrist close to the front side of a palm; a band 3 for wearing the wrist dial 1 on the wrist; and the first camera 12 is installed on a circular plane of the wrist dial 1 facing the wrist and is used for acquiring a wrist or back skin texture form image caused by finger action.
The utility model discloses an in a concrete embodiment, through set up first camera 12 at wrist dial plate 1, make the accurate skin that corresponds wrist department of first camera 12, can make the utility model discloses the skin texture form image of collection wrist department or hand that can be convenient has solved the problem that can not make things convenient for among the prior art, the skin texture form image of real-time collection wrist department or hand.
The acquisition device further comprises: a back dial 2 that contacts the wrist near the back of the palm; the second camera 21 is arranged on the circumferential side surface of the hand back dial 2 facing the hand back and is used for collecting the skin texture form images of the hand back caused by finger actions; wherein the watch back dial 2 is also mounted on the watch band 3. The acquisition device further comprises: a touch display screen 22 disposed on the watch back dial 2 and a processor mounted within the wrist dial 1 and/or watch back dial 2.
The second camera 21 can record the texture of the wrist or hand and the texture of the back of the hand corresponding to the finger movement at the same time, thereby further improving the accuracy of recognition of the finger movement.
In the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.

Claims (8)

1. A wrist skin texture morphological change acquisition device is characterized by comprising:
a wrist dial (1) which is in contact with the wrist near the front of the palm;
a band (3) for wearing the wrist dial (1) on the wrist;
the first camera (12) is installed on a circular plane of the wrist dial (1) facing to the wrist and is used for collecting the texture form images of the skin of the wrist or the back of the hand caused by the action of fingers.
2. The wrist skin texture morphology change acquisition device according to claim 1, further comprising:
a back dial (2) that contacts the wrist near the back of the palm;
the second camera (21) is arranged on the circumferential side surface of the hand back dial (2) facing to the hand back and is used for collecting the skin texture form images of the hand back caused by finger actions;
wherein the watch back dial (2) is also mounted on the watch band (3).
3. The wrist skin texture morphology change acquisition device according to claim 1, further comprising:
a touch display screen (22) arranged on the hand back dial (2) and a processor arranged in the wrist dial (1) and/or the hand back dial (2).
4. An instruction output device based on wrist skin texture morphological changes, comprising:
the first camera (12) is used for collecting a wrist or hand back skin texture form image caused by finger movement;
the instruction recognizer is used for recognizing an output instruction corresponding to the wrist or hand back skin texture form image;
and the instruction output device is used for outputting the output instruction to the terminal equipment.
5. The wrist skin texture morphological change based instruction output device of claim 4 wherein the instruction recognizer comprises:
a characteristic database: the characteristic value of the wrist or back skin texture form image corresponding to a plurality of output instructions is stored in advance;
a feature extractor: extracting characteristic variables of the skin texture image from the wrist or hand back skin texture morphology image;
a characteristic matcher: and matching the extracted characteristic variables of the skin texture image with the characteristic values of the wrist or back skin texture form image corresponding to the output instructions, wherein the output instructions corresponding to the characteristic values of the wrist or back skin texture form image after matching are recognition results.
6. The wrist skin texture morphological change-based instruction output device according to claim 4, wherein the instruction output device comprises a signal transmission module, and the signal transmission module adopts a Bluetooth signal connection, a WIFI signal connection, a satellite signal connection, a 5G signal connection, a 4G signal connection and a data line signal connection.
7. The command output device according to claim 4, further comprising a second camera (21) for collecting an image of skin texture morphology on the back of the hand caused by finger movement, wherein the collecting of the image of skin texture morphology on the back of the hand caused by finger movement and the collecting of the image of skin texture morphology on the wrist or back of the hand caused by finger movement are performed simultaneously.
8. The wrist skin texture change-based instruction output device according to claim 7, further comprising a wrist dial (1) contacting the wrist near the palm face, a back dial (2) contacting the wrist near the palm back, a band (3) for wearing the wrist dial (1) and the back dial (2) on the wrist, a touch display screen (22) provided on the back dial (2), and a processor installed in the wrist dial (1) and/or the back dial (2), the processor including the instruction recognizer, the first camera (12) being installed on a circular plane of the wrist dial (1) facing the wrist, and the second camera (21) being installed on a circumferential side of the back dial (2) facing the back.
CN201921717090.0U 2019-10-14 2019-10-14 Wrist skin texture morphological change acquisition equipment and instruction output equipment Active CN210573844U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201921717090.0U CN210573844U (en) 2019-10-14 2019-10-14 Wrist skin texture morphological change acquisition equipment and instruction output equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201921717090.0U CN210573844U (en) 2019-10-14 2019-10-14 Wrist skin texture morphological change acquisition equipment and instruction output equipment

Publications (1)

Publication Number Publication Date
CN210573844U true CN210573844U (en) 2020-05-19

Family

ID=70640900

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201921717090.0U Active CN210573844U (en) 2019-10-14 2019-10-14 Wrist skin texture morphological change acquisition equipment and instruction output equipment

Country Status (1)

Country Link
CN (1) CN210573844U (en)

Similar Documents

Publication Publication Date Title
WO2021082749A1 (en) Action identification method based on artificial intelligence and related apparatus
CN105487673B (en) A kind of man-machine interactive system, method and device
CN102915111B (en) A kind of wrist gesture control system and method
CN202584010U (en) Wrist-mounting gesture control system
WO2016185845A1 (en) Interface control system, interface control device, interface control method and program
US11782514B2 (en) Wearable device and control method thereof, gesture recognition method, and control system
CN103049761A (en) Sign language recognition method and system based on sign language gloves
CN104571482A (en) Digital device control method based on somatosensory recognition
CN104731307A (en) Somatic action identifying method and man-machine interaction device
CN106648068A (en) Method for recognizing three-dimensional dynamic gesture by two hands
CN112817443A (en) Display interface control method, device and equipment based on gestures and storage medium
Kumar et al. A hybrid gesture recognition method for American sign language
JP6516464B2 (en) Wearable search system
CN107450672B (en) Wrist type intelligent device with high recognition rate
CN109032334B (en) Interaction method and interaction system based on fingerprint and gesture recognition
WO2021258862A1 (en) Typing method and apparatus, and device and storage medium
CN210573844U (en) Wrist skin texture morphological change acquisition equipment and instruction output equipment
CN117008491A (en) Intelligent gesture control system and method
CN110688016A (en) Wrist skin texture morphological change-based instruction output method and device
CN111766941B (en) Gesture recognition method and system based on intelligent ring
CN110703923A (en) Instruction output method and device based on wrist or hand skin three-dimensional shape change
CN211149310U (en) Wrist formula intelligent device of high recognition rate
CN104375631A (en) Non-contact interaction method based on mobile terminal
CN115543135A (en) Control method, device and equipment for display screen
CN104866112A (en) Non-contact interaction method based on mobile terminal

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20230529

Address after: 518000 floor 1, building 4, Shenzhen software industry base, No. 19, 17 and 18, Haitian 1st Road, Binhai community, Yuehai street, Nanshan District, Shenzhen, Guangdong

Patentee after: Shenzhen Yuanyu Intelligent Equipment Technology Co.,Ltd.

Address before: Room 2804, unit 1, building 24, yard 59, Jingkai seventh street, Zhengzhou Economic and Technological Development Zone, Henan Province, 450000

Patentee before: Hu Tuanwei