CN108549153A - A kind of intelligent VR glasses based on appearance Expression Recognition - Google Patents
A kind of intelligent VR glasses based on appearance Expression Recognition Download PDFInfo
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- CN108549153A CN108549153A CN201810554101.1A CN201810554101A CN108549153A CN 108549153 A CN108549153 A CN 108549153A CN 201810554101 A CN201810554101 A CN 201810554101A CN 108549153 A CN108549153 A CN 108549153A
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- 230000003183 myoelectrical effect Effects 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 17
- 230000005540 biological transmission Effects 0.000 claims abstract description 12
- 230000008921 facial expression Effects 0.000 claims abstract description 12
- 230000008054 signal transmission Effects 0.000 claims abstract description 5
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Classifications
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- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
- G02B2027/0178—Eyeglass type
Abstract
The present invention provides a kind of intelligent VR glasses based on appearance Expression Recognition, including mirror holder, mirror holder is equipped with VR electronics eyeglasses and shows electronic image, it further include electromyographic signal collection unit, the surface charge signal intensity that face muscle is acquired by surface myoelectric sensor passes to processing unit, the electric signal that surface myoelectric sensor acquires is converted to digital signal by processing unit, it is transferred to the corresponding display signal of interactive unit generation after transformed digital signal and expression data matching in database, interactive unit will show that signal outwardly transmits or receive from extraneous display signal, signal transmission will be shown to display unit after receiving extraneous display signal, 3D facial expression images are included in VR electron mirror on pieces by the display signal that display unit is transmitted according to interactive unit.The present invention applies in the interactive experience between VR user, and expression is increased experience pleasant sensation by image transmission to two parties.
Description
Technical field
The present invention relates to network appliance technical fields, and in particular to a kind of intelligent VR glasses based on appearance Expression Recognition.
Background technology
Facial expression refers to that various emotional states are showed by the variation of eye muscle, face muscle and oral area muscle.
Facial expression is a kind of highly important non-verbal communication means.Face accurately conveys difference by the movement of tens of pieces of muscle
Phychology and emotion.Any type facial expression is all but face certain privileged sites caused by facial muscles allomeric function
Muscle becomes apparent from for expressing the effect of certain special emotions.Mouth, cheek, eyebrow, volume are the pleasant key positions of performance;Nose, cheek, mouth
Performance is detested;Eyebrow, volume, eyes, eyelid performance are sad;Eyes and eyelid performance are frightened.It therefore can be by detecting face muscle
Movable information to obtain the state of face muscle movement, and muscular movement will produce electromyography signal, therefore can pass through survey
Face EMG signal is measured to obtain the feature of face facial expression.
VR technologies are just risen currently on the market, and VR technologies are interacted with virtual network can bring abundant life to people
And recreation experience, but for the prior art, VR interacts current majority and rests in the stage of the interaction of people and virtual world,
Interpersonal interaction simply by sound, lacks image mostly, and experience is more deficient.
Invention content
The purpose of the present invention overcomes the deficiencies of the prior art and provide a kind of intelligent VR glasses based on appearance Expression Recognition,
It applies in the interactive experience between VR user, expression is increased into experience pleasant sensation by image transmission to two parties.
The purpose of the present invention is what is reached by following technical measures:
A kind of intelligent VR glasses based on appearance Expression Recognition, including mirror holder, mirror holder are equipped with VR electronics eyeglasses display electricity
Subgraph further includes electromyographic signal collection unit, and the surface charge signal that face muscle is acquired by surface myoelectric sensor becomes
Change passes to processing unit;
The electric signal that surface myoelectric sensor acquires is converted to digital signal, transformed digital signal by processing unit
Display signal corresponding with interactive unit generation is transferred to after the expression data matching in database;
Interactive unit will show that signal is outwardly transmitted or received and receive extraneous display from extraneous display signal
Signal transmission will be shown to display unit after signal;
3D facial expression images are included in VR electron mirror on pieces by display unit, the display signal transmitted according to interactive unit.
Further, the signal gathering unit be additionally provided with differential-mode amplifier will surface myoelectric sensor signal amplify after
It is transferred to processing unit.
Further, the processing unit is equipped with A/D converter, the electricity that A/D converter acquires surface myoelectric sensor
Signal is converted to digital signal for the transmission in circuit.
Further, the mirror holder built-in rechargeable battery, mirror holder are equipped with charging hole.
Further, the mirror holder is equipped with USB port and is used for data transmission.
Further, the mirror holder includes frame and temple, and the quantity of surface myoelectric sensor is multiple, is distributed in frame
Around.
Further, the processing unit and interactive unit are built in frame.
Compared with prior art, the beneficial effects of the invention are as follows:
Appearance expression information is obtained by the signal transmission between the equipment interactive unit between different user, reaches VR void
The purpose of quasi- expression interaction.
It can realize Context aware and remote dummy interaction, experience sense is good, and it is simple and fast to power, reusable.
It elaborates with reference to the accompanying drawings and detailed description to the present invention.
Description of the drawings
Fig. 1 is the structural schematic diagram of front view of the present invention.
Fig. 2 is the structural schematic diagram of side view of the present invention.
Fig. 3 is the structural schematic diagram of vertical view of the present invention.
Fig. 4 is the structural schematic diagram of workflow block diagram of the present invention.
Wherein, 1, surface myoelectric sensor, 2, frame, 3, temple, 4, VR electronics eyeglasses, 5, charging hole, 6, USB port, 7,
Processing unit, 8, differential-mode amplifier, 9, A/D converter, 10, interactive unit, 11, display unit.
Specific implementation mode
Facial expression refers to that various emotional states are showed by the variation of eye muscle, face muscle and oral area muscle.
Facial expression is a kind of highly important non-verbal communication means.Face accurately conveys difference by the movement of tens of pieces of muscle
Phychology and emotion.Any type facial expression is all but face certain privileged sites caused by facial muscles allomeric function
Muscle becomes apparent from for expressing the effect of certain special emotions.Mouth, cheek, eyebrow, volume are the pleasant key positions of performance;Nose, cheek, mouth
Performance is detested;Eyebrow, volume, eyes, eyelid performance are sad;Eyes and eyelid performance are frightened.It therefore can be by detecting face muscle
Movable information to obtain the state of face muscle movement, and muscular movement will produce electromyography signal, therefore can pass through survey
Face electromyography signal (EMG) signal is measured to obtain the feature of face facial expression.
Electromyography signal (EMG) is moving cell action potential (MUAP) over time and space folded in numerous muscle fibres
Add.Surface electromyogram signal (SEMG) is that electrical activity, can be one in the comprehensive effect of skin surface on superficial muscular EMG and nerve cord
Determine to reflect nervimuscular activity in degree;Relative to pin electrode EMG, SEMG has Noninvasive, hurtless measure, behaviour in measurement
Make the advantages that simple.Thus, SEMG has weight in clinical medicine, man-machine efficacy, medical science of recovery therapy and sports science etc.
The practical value wanted.
Surface electromyogram signal is the neuromuscular system for guiding, amplify, showing and recording by electrode from skin surface
Bioelectrical signals when system activity, signal aspect have larger randomness and unstability.Its active state with muscle and
The relevance of various degrees between functional status, thus can reflect nervimuscular activity in certain degree, it is
In the important method of body surface Non-invasive detection muscle activity, relative to pin electrode EMG, SEMG has Noninvasive, nothing in measurement
Wound, simple operation and other advantages.
The present invention by surface muscle sensor mainly monitor be face superciliary corrugator muscle and depressor supercilii (feel gloomy, thinking etc.
In expression this several groups of muscular tones can shrink and generate the expression of lock eyebrow), greater zygomatic muscle (be generate laugh at expression it is main because
Element), orbicular muscle of eye (closing one's eyes, the expressions such as thinking can all influence orbicular muscle of eye) and ear's cluster (nervous and angry) etc..It is logical
The acquisition changed to these major muscles surface signals is crossed, using convolutional neural networks technology as algorithm basis, is aided with drop
Processing Algorithm of making an uproar and feature extraction algorithm judge appearance expression shape change to analyze.
Fig. 1-3 is the structural schematic diagram of the three-view diagram of the intelligent VR glasses based on appearance Expression Recognition, and the mirror holder includes
Frame 2 and temple 3, are equipped with the electromyography signal that multiple surface myoelectric sensors 1 are used to acquire human face around frame 2, in mirror holder
Rechargeable battery is set, mirror holder is equipped with charging hole 5 and USB port 6 is used for data transmission, and processing unit 7 and interactive unit 10 are built-in
In frame 2.
Fig. 4 is the workflow block diagram of intelligent VR glasses of the dual user based on appearance Expression Recognition in the present embodiment, myoelectricity
The surface charge signal intensity that signal gathering unit acquires face muscle by surface myoelectric sensor 1 will through differential-mode amplifier 8
It is transferred to processing unit 7 after the signal amplification of surface myoelectric sensor 1;
Processing unit 7 is equipped with A/D converter 9, and A/D converter 9 is converted to the electric signal that surface myoelectric sensor 1 acquires
Digital signal is used for the transmission in circuit, and transformed digital signal is transferred to interaction after being matched with the expression data in database
Unit 10 generates corresponding display signal;
Interactive unit 10 will show that signal transmits or receives the display from other users equipment to other users equipment and believes
Number, receive after extraneous display signal will display signal transmission to display unit 11, between the interactive unit 10 of distinct device
Transmission uses the transmission method of Cloud Server.
3D facial expression images are included in VR electronics eyeglass 4 by the display signal that display unit 11 is transmitted according to interactive unit 10
On, display unit 11 includes the model library unit for being processed to expression, any model conduct in user's preference pattern library
The expression that transmission comes is synthesized with model and is presented on VR electronics eyeglass 4 by carrier.
Fig. 4 is the workflow block diagram based on dual user in the present embodiment, can be applied to multi-user according to this operation principle
It realizes.
The matrix of the electrode plates of the present embodiment surface myoelectric sensor 1 is made with copper, and electroplate is ambipolar, two
There are a comparison reference electrodes, i.e. indifferent electrode to improve the inhibition to common-mode signal for reducing noise among a electrode
Ability.Reduce noise on electric wire by differential amplification method.EMG signal is detected by two copper silver-coated electrodes, two input signal phases
Subtract, identical " common mode " component can be removed, and only different " differential mode " components is amplified.Any noise far from test point will
It is shown as " common mode " signal in test point;And detect the signal near surface and show as difference mode signal, it will be amplified.So phase
The power line noise adjusted the distance farther out will be eliminated totally, and the EMG signal of relative close will be amplified.Its accuracy is by common mode
Inhibit to weigh than (CMRR).When EMG information is organized to propagate in (volume conductor) in vivo, increases with transmission range and decline rapidly
Subtract.So electrode should be placed on the strongest muscle abdomens of EMG, the EMG to reduce proximity of muscle interferes (crosstalk).Use smaller electricity
Pole improves selection flexibility, but brings larger skin contact resistance.Sensor is INA128 chips, for measuring muscle
The electric signal of generation, this chip frequency acquisition is very high, can reach 200Hz, can dynamically acquire the fortune of human muscle in real time
Emotionally condition.
Claims (7)
1. a kind of intelligent VR glasses based on appearance Expression Recognition, including mirror holder, mirror holder is equipped with VR electronics eyeglasses and shows electronics
Image, it is characterised in that:Further include electromyographic signal collection unit, the surface electricity of face muscle is acquired by surface myoelectric sensor
Lotus signal intensity passes to processing unit;
The electric signal that surface myoelectric sensor acquires is converted to digital signal, transformed digital signal and number by processing unit
Corresponding display signal is generated according to interactive unit is transferred to after the expression data matching in library;
Interactive unit will show that signal is outwardly transmitted or received and receive extraneous display signal from extraneous display signal
Signal transmission will be shown to display unit afterwards;
3D facial expression images are included in VR electron mirror on pieces by display unit, the display signal transmitted according to interactive unit.
2. a kind of intelligent VR glasses based on appearance Expression Recognition according to claim 1, it is characterised in that:The signal
Collecting unit is additionally provided with after differential-mode amplifier amplifies the signal of surface myoelectric sensor and is transferred to processing unit.
3. a kind of intelligent VR glasses based on appearance Expression Recognition according to claim 1, it is characterised in that:The processing
Unit is equipped with A/D converter, and the electric signal that surface myoelectric sensor acquires is converted to digital signal for circuit by A/D converter
In transmission.
4. a kind of intelligent VR glasses based on appearance Expression Recognition according to claim 1, it is characterised in that:The mirror holder
Built-in rechargeable battery, mirror holder are equipped with charging hole.
5. a kind of intelligent VR glasses based on appearance Expression Recognition according to claim 1, it is characterised in that:The mirror holder
It is used for data transmission equipped with USB port.
6. a kind of intelligent VR glasses based on appearance Expression Recognition according to claim 1, it is characterised in that:The mirror holder
Including frame and temple, the quantity of surface myoelectric sensor is multiple, is distributed in around frame.
7. a kind of intelligent VR glasses based on appearance Expression Recognition according to claim 6, it is characterised in that:The processing
Unit and interactive unit are built in frame.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
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CN201810554101.1A CN108549153A (en) | 2018-06-01 | 2018-06-01 | A kind of intelligent VR glasses based on appearance Expression Recognition |
PCT/CN2019/086547 WO2019228174A1 (en) | 2018-06-01 | 2019-05-13 | Facial expression recognition-based smart vr eyewear |
Applications Claiming Priority (1)
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CN201810554101.1A CN108549153A (en) | 2018-06-01 | 2018-06-01 | A kind of intelligent VR glasses based on appearance Expression Recognition |
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WO (1) | WO2019228174A1 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2019228174A1 (en) * | 2018-06-01 | 2019-12-05 | 烟台市安特洛普网络科技有限公司 | Facial expression recognition-based smart vr eyewear |
WO2023050522A1 (en) * | 2021-09-28 | 2023-04-06 | 歌尔股份有限公司 | Interaction method, terminal device, and readable storage medium |
US11768379B2 (en) | 2020-03-17 | 2023-09-26 | Apple Inc. | Electronic device with facial sensors |
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CN117480529A (en) * | 2021-06-18 | 2024-01-30 | 惠普发展公司,有限责任合伙企业 | Automatic capture of neutral facial expressions |
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CN104142583A (en) * | 2014-07-18 | 2014-11-12 | 广州市香港科大霍英东研究院 | Intelligent glasses with blinking detection function and implementation method thereof |
GB2534580B (en) * | 2015-01-28 | 2020-06-17 | Sony Interactive Entertainment Europe Ltd | Image processing |
US9910275B2 (en) * | 2015-05-18 | 2018-03-06 | Samsung Electronics Co., Ltd. | Image processing for head mounted display devices |
CN105487676A (en) * | 2016-01-17 | 2016-04-13 | 仲佳 | Virtual-reality device with head-bio-electricity-signal-based human-computer interaction function |
CN106390318B (en) * | 2016-10-18 | 2019-10-01 | 京东方科技集团股份有限公司 | A kind of intelligence mask and its control method |
CN106599811B (en) * | 2016-11-29 | 2019-11-05 | 苏州虚现数字科技有限公司 | A kind of VR aobvious facial expression method for tracing |
CN108549153A (en) * | 2018-06-01 | 2018-09-18 | 烟台市安特洛普网络科技有限公司 | A kind of intelligent VR glasses based on appearance Expression Recognition |
CN208421417U (en) * | 2018-06-01 | 2019-01-22 | 烟台市安特洛普网络科技有限公司 | A kind of intelligent VR glasses based on appearance Expression Recognition |
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2018
- 2018-06-01 CN CN201810554101.1A patent/CN108549153A/en not_active Withdrawn
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- 2019-05-13 WO PCT/CN2019/086547 patent/WO2019228174A1/en active Application Filing
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2019228174A1 (en) * | 2018-06-01 | 2019-12-05 | 烟台市安特洛普网络科技有限公司 | Facial expression recognition-based smart vr eyewear |
US11768379B2 (en) | 2020-03-17 | 2023-09-26 | Apple Inc. | Electronic device with facial sensors |
WO2023050522A1 (en) * | 2021-09-28 | 2023-04-06 | 歌尔股份有限公司 | Interaction method, terminal device, and readable storage medium |
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