CN103853333A - Gesture control scheme for toy - Google Patents
Gesture control scheme for toy Download PDFInfo
- Publication number
- CN103853333A CN103853333A CN201410105770.2A CN201410105770A CN103853333A CN 103853333 A CN103853333 A CN 103853333A CN 201410105770 A CN201410105770 A CN 201410105770A CN 103853333 A CN103853333 A CN 103853333A
- Authority
- CN
- China
- Prior art keywords
- arm
- gesture
- signal
- user
- toy
- 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.)
- Pending
Links
Images
Landscapes
- Toys (AREA)
Abstract
The invention relates to a method, a device and a user interface for controlling an electronic toy in a gesture mode in a three-dimensional space. Various types of control over the electronic toy can be realized by inputting a user command in a mechanical mode of operating an operation rod or pressing a button in the prior art. The method is used for performing various types of control on the toy by analyzing the user command according to natural gestures. According to a basic structure, a motion sensor unit which is used for detecting the motion and posture information of an arm is arranged inside an arm ring or a wrist device which is worn on the arm of a user; a plurality of paths of electromyographic signal sensor units are used for detecting gesture information formed by the wrist, the palm and the fingers; by the combination of the posture information and the gesture information, coordinate mapping and command enabling of the arm and the gestures to the three-dimensional space are realized by the aid of mathematical operation. According to the device, the toy can be more naturally controlled, the playability of the toy is improved, and the control level of an operator can be more reflected.
Description
Technical field
The present invention relates to a kind of method and apparatus that adopts nature gesture mode control toy, particularly by the epidermis muscle current signal data of arm, routing motion sensing data is identified the method for gesture, it is reached without by physical switch button or operating rod, and only need operator's gesture motion just can realize the control to toy.
Background technology
What the control method of toy generally adopted for many years is by physical switch, button, or control lever is realized.Not nature of this kind of traditional operation mode, enjoyment is the corresponding potentiality of not given play to toy also.Along with the rise of Gesture Recognition, adopting nature gesture action control toy to become technically may and become a kind of trend.What the present invention proposed is exactly that a kind of nature gesture and toy of adopting controlled mutual novel method.
Summary of the invention
The object of the present invention is to provide a kind of method of gesture motion control toy and concrete device for carrying out said, what the method and device can strengthen toy can be handling, and practicality and the interest of enhancing toy, for providing a kind of brand-new user, toy industry experiences.
The present invention and device are as a kind of novel toy control and exchange method, it is characterized in that: its profile shows as similar bracelet or armlet, and circulating electron device that within the specific limits can be flexible, it is worn on user's wrist or arm place, and is close to user's skin by flexible design; The method and the most significant feature of device are that electronics and circuit part are designed with multichannel epidermis muscle current signal acquisition probe and corresponding signal processing circuit, and acquisition probe is distributed according to certain rule in the ring of device; The electronics of the method and device and circuit part be including but not limited to motion sensor, such as acceleration transducer, angular transducer, magnetic field sensor etc.; Electronics and circuit part be the change-over circuit to digital signal including but not limited to simulating signal, for controlling and central controller or the data processing module of signal processing, for depositing the data memory module of processor code and user data, for transmitting the data transmission module of computer data and order, the display module showing for information, for the power module of power management etc.The present invention and device are worn on behind wrist or arm place user, calculate and follow the tracks of the curve movement of user's arm by the continuous Monitoring Data of motion sensor unit, the gesture that wrist, palm and the finger that coordinates the epidermis muscle current signal of processing in real time multichannel arm muscle to detect forms, distinguish and resolve by extracting characteristic parameter, be then mapped to various computer commands and realize the control to toy.The special character of the present invention and device is, user's operational order input is to realize by natural gesture, and does not rely on physical button, switch or control lever.Be compared to other gesture detecting methods based on machine vision, the present invention and device are unrestricted to applied environment, have mobility, low cost, a series of advantages such as low-power consumption.
Brief description of the drawings
Fig. 1: a kind of outward appearance signal of toy gesture controller.
Fig. 2: the scalable connection signal between toy gesture controller module.
Fig. 3: muscle current signal to gesture information each signal processing links framework signal of process.
Fig. 4: conventional gesture motion signal.
Fig. 5: Gesture Recognition Algorithm basic procedure signal.
Embodiment
Core of the present invention is that a kind of brand-new natural gesture and motion recognition technology are applied in toy controller.The core of this kind of natural Gesture Recognition is for to do characteristic parameter extraction by multichannel arm epidermis muscle current signal and motion sensor data, and detect the curve movement of gesture and arm and both combinations with this, and be mapped to computer command with this, realize the control to toy.
Concrete technology of the present invention is embodied as the telescopic annular segments design of profile, may be worn on the electronic installation of user's wrist or fore-arm.Be close to arm skin place in ring device inner side, place multichannel epidermis muscle current signal sensor according to the main muscle position characteristic of forearm control finger and wrist, sensor may but be not limited to adopt single difference or two difference modes, the signal picking up is by corresponding simulating signal filtering, amplify, the circuit such as analog signal figure conversion, become the visible continuous digital signal streams of signal processor or CPU (central processing unit), by realize gesture recognition process algorithm in processor, extract the characteristic parameter of each gesture, finally realizing gesture distinguishes and identifies.The movement of arm is carried out detection and tracking by motion sensor.In conjunction with these two kinds of technology, finally realize accurate difference and the identification of gesture motion.
A kind of possible outward appearance form of expression of the toy controller (100) of Fig. 1 has been integrated muscle current signal and motion sensor Gesture Recognition.Toy controller (100) is divided into multiple modules, and wherein host module (106) is including but not limited to lower component: central processing unit, data storage, data communication, display screen (103), pushbutton switch (104), motion sensor, analog to digital converter, battery and charging circuit (105) etc.; Toy controller (100) also comprises multiple myoelectric sensor modules (102), epidermis myoelectricity probe (101a, 101b), electromyographic signal pre-process circuit etc. that it comprises single difference or two difference form.
Fig. 2 is that what to show is the possible connected mode between the modules (102 or 106) of toy controller (100).The connecting material (201) with telescopic resilience is used to connect modules.
What Fig. 3 indicated is from arm skin surface and a series of processing links that the epidermis muscle current signal (306) coming may pass through.The faint original table musculus cutaneus meat current signal (306) picking up from difference myoelectric sensor (103), peak-to-peak value is in+-1mV, to detecting the useful signal frequency range of gesture in 0～1000Hz.Original signal (306) zooms into the amplifying signal (307) that scope is applicable to follow-up analog to digital conversion circuit (303) range, for example 1000 times of amplifications through analog amplifier circuit (301); Again after filtering circuit (302) remove to gesture characteristic parameter extraction useless or disturb frequency range, to reduce the impact on algorithm; Amplification and filtered signal (308) convert digital signal (309) according to those Qwest's two sampling principles to by analog to digital change-over circuit (303); The myoelectricity digital signal (309) of Multi-path synchronous and motion sensor (310) data are carried out Gesture Recognition Algorithm processing through central processing unit or signal processing unit (304), to extract gesture feature parameter (305), and finally realize the differentiation between gesture by characteristic parameter.Should illustrate, this schematic diagram is just for possible implementation framework and the thinking of whole signal processing flow are described, possible but be not limited solely to this framework in actual realization.
Fig. 4 instruction be the gesture that need to use of toy controller (100) control toy in the cards and the order of gesture representative.To control toy car as example: under toy car dead ship condition, the action (401) of clenching fist can represent start vehicle and await orders; After starting vehicle, do wrist action in the wrong (403), represent to move ahead; After startup vehicle, do and stretch wrist action (404), represent reversing; When bending wrist action (403) or stretch wrist action (404), left-hand rotation arm be vehicle toward left steering, right-hand rotation arm is that vehicle is toward right turn; Again clench fist (401) or stretch the palm (402) action and represent stop and enter armed state.It may be noted that and just illustrate how gesture motion is applied in toy control herein, instead of restriction.
What Fig. 5 indicated is the digital signal processing algorithm flow process framework of gesture identification.One or more digital electromyographic signal (309) after analog to digital conversion is first passed through digital Preprocessing Algorithm (501) and is carried out the processing such as such as digital filtering, for further removing environmental noise in digital field, such as the power supply AC signal of 50Hz or 60Hz is disturbed; Then enter staging treating unit (502) through digital pretreated signal, carry out the processing such as such as starting point and ending point is searched, rectification (Rectify), root mean square (RMS), fast Fourier transform (FFT), small echo computing (Wavelet), arrange out frequency and the energy distribution information of each signalling channel (309), phase equalization information, and the information such as passage and interchannel correlativity; Multiple information of extracting are passed through the processing of feature extraction (503) algorithm again, and for example threshold decision and autocorrelation parameter extraction algorithm extract the characteristic parameter of each gesture.Under mode of operation, gesture decision logic (505) coordinates gesture feature storehouse model (504) data with characteristic parameter, carries out matching judgment by certain algorithm, finally exports gesture information (506).Except mode of operation, equipment also will be supported gesture training mode, and under this pattern, characteristic parameter is used to upgrade or expansion gesture feature storehouse model (504).
Finally it should be noted that above embodiment is only in order to technical scheme that the present invention is possible to be described and unrestricted.According to the difference of practical application, product shows in outward appearance, algorithm enforcement etc. can be variant, although the present invention is had been described in detail with reference to preferred embodiment, those skilled in the art is to be understood that, technical scheme of the present invention is modified or is equal to replacement, do not depart from the spirit and scope of technical solution of the present invention.
Claims (9)
1. one kind is worn on the ring-type hand gesture detecting device of user's wrist or arm, can be used for user's operation of electronic toy series products, its global feature is: profile is annular device, be worn on user's arm or wrist place, without by physical switch, button or control lever, and adopt sensor technology to detect the physical motion of user arm, and detect the gesture motion that wrist, palm, finger motion form, and obtain user command input through mathematical operation.
2. the electronic installation as shown in claim 1, is characterized in that: equipment disposes signal acquisition circuit, computing and control circuit, memory circuit, signal and command transfer circuit, signal feedback circuit, feed circuit etc.
3. the electronic installation as shown in claim 1 and 2, is characterized in that: signal acquisition circuit comprises motion sensor circuits, and such as acceleration transducer, angular transducer, gyroscope, magnetic field sensor etc., move and rotate for detection of the physics of arm.
4. the electronic installation as shown in claim 1 and 2, it is characterized in that: signal acquisition circuit comprises that device is in equipment surface, be close to the non-invasion formula of the multichannel epidermis muscle current signal pickoff electrode of user's skin, and corresponding epidermis muscle current signal is processed and computing circuit, for detection of stretching, extension and the contraction state of polylith arm muscle, and judge the gesture motion state of finger, palm, wrist with this.
5. the electronic installation as shown in claim 1 and 4, it is characterized in that: epidermis muscle current signal need to be by signal amplification, filtering, digitizing, signal analysis, include but not limited to a series of digital signal processing such as the detection of initial sum terminating point, energy spectrometer, frequency spectrum analysis, wavelet analysis, its object is the characteristic parameter that extracts each gesture, and realizes the differentiation between gesture by these characteristic parameters.
6. the electronic installation as shown in claim 1, it is characterized in that: equipment by the physics of user's arm move, rotation information, and the gesture information of distinguishing by the epidermis muscle current signal of arm, after combining, be mapped to multiple user command, and by signal with command transfer circuit is wired or wireless mode sends to electronic toy, electronic toy can be made corresponding reaction, such as CD-ROM drive motor, light or loudspeaker etc. receiving after user command.
7. the electronic installation as shown in claim 1 and 6, it is characterized in that: the closing and enabling of user command, can realize by predefined gesture or arm motion or both binding sequences, include but not limited to clench fist for twice fast action, stretch fast palm action for twice, or arm is drawn circle etc. aloft.
8. electronic installation as claimed in claim 1, is characterized in that: signal and command transfer circuit can adopt wired or wireless mode, and wireless mode is including but not limited to Bluetooth technology, combination of infrared or multiple technologies etc.
9. as the electronic installation of claim 1 and 4, it is characterized in that: device is according to the main muscle position of arm control finger, palm, wrist, be divided into multiple modules, module is connected by telescopic parts with intermodule, to adapt to the arm thickness of different user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410105770.2A CN103853333A (en) | 2014-03-21 | 2014-03-21 | Gesture control scheme for toy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410105770.2A CN103853333A (en) | 2014-03-21 | 2014-03-21 | Gesture control scheme for toy |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103853333A true CN103853333A (en) | 2014-06-11 |
Family
ID=50861094
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410105770.2A Pending CN103853333A (en) | 2014-03-21 | 2014-03-21 | Gesture control scheme for toy |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103853333A (en) |
Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104190089A (en) * | 2014-08-21 | 2014-12-10 | 徐州飞梦电子科技有限公司 | Control method for gesture control over paper plane |
| CN104352035A (en) * | 2014-09-24 | 2015-02-18 | 南京航空航天大学 | Gesture catch bracelet |
| CN104460992A (en) * | 2014-11-20 | 2015-03-25 | 大连理工大学 | Finger movement detection device and method adopting infrared rays for irradiating intercarpal ligament |
| CN104881118A (en) * | 2015-05-25 | 2015-09-02 | 清华大学 | Wearable system used for capturing upper limb movement information of human body |
| CN104881116A (en) * | 2015-05-19 | 2015-09-02 | 陈文修 | Selecting type remote control switch |
| CN105005383A (en) * | 2015-07-10 | 2015-10-28 | 昆山美莱来工业设备有限公司 | Wearable arm band that manipulates mobile robot by using hand gesture |
| CN105117003A (en) * | 2014-09-25 | 2015-12-02 | 上海傲意信息科技有限公司 | Intelligent wearing equipment and working method thereof |
| CN105116995A (en) * | 2014-08-31 | 2015-12-02 | 上海傲意信息科技有限公司 | Intelligent wearable device and working method therefor |
| CN105138133A (en) * | 2015-09-14 | 2015-12-09 | 李玮琛 | Biological signal gesture recognition device and method |
| CN105204639A (en) * | 2015-09-21 | 2015-12-30 | 杭州攻壳科技有限公司 | Control method of wrist equipment and wrist equipment |
| CN105807640A (en) * | 2014-12-30 | 2016-07-27 | 深圳Tcl新技术有限公司 | Terminal control method and terminal control system |
| CN105843400A (en) * | 2016-05-05 | 2016-08-10 | 广东小天才科技有限公司 | Somatosensory interaction method and device and wearable device |
| CN105943042A (en) * | 2016-06-07 | 2016-09-21 | 中国人民解放军国防科学技术大学 | Operator-hand-behavior perception system based on electromyographic signals |
| CN106484087A (en) * | 2015-09-02 | 2017-03-08 | 黄小明 | A kind of Portable telemetry body-sensing input method and device |
| CN106569606A (en) * | 2016-11-08 | 2017-04-19 | 上海交通大学 | Smart home infrared control system and smart home infrared control method based on natural gesture identification |
| CN106695794A (en) * | 2017-02-20 | 2017-05-24 | 苏州晨本智能科技有限公司 | Mobile machine arm system based on surface myoelectric signal and control method of mobile machine arm system |
| CN107106070A (en) * | 2015-01-19 | 2017-08-29 | 国立大学法人北海道大学 | Myoelectric sensor |
| CN107850935A (en) * | 2015-07-17 | 2018-03-27 | 电子部品研究院 | Wearable device and the method using the equipment input data |
| CN108173562A (en) * | 2017-12-19 | 2018-06-15 | 沈阳工程学院 | A kind of 5G network communication apparatus |
| CN108524069A (en) * | 2018-03-12 | 2018-09-14 | 浙江理工大学 | Arm action rectifier |
| CN108829252A (en) * | 2018-06-14 | 2018-11-16 | 吉林大学 | Gesture input computer character device and method based on electromyography signal |
| CN109240508A (en) * | 2018-09-30 | 2019-01-18 | 清华大学 | Skin of dorsum of hand deformation restores finger movement method |
| CN111401166A (en) * | 2020-03-06 | 2020-07-10 | 中国科学技术大学 | Robust gesture recognition method based on electromyographic information decoding |
| CN111507944A (en) * | 2020-03-31 | 2020-08-07 | 北京百度网讯科技有限公司 | Skin smoothness determination method and device and electronic equipment |
| CN113849068A (en) * | 2021-09-28 | 2021-12-28 | 中国科学技术大学 | Gesture multi-mode information fusion understanding and interacting method and system |
| CN114995628A (en) * | 2021-10-13 | 2022-09-02 | 荣耀终端有限公司 | Method for recognizing air gesture and related equipment thereof |
| WO2023197475A1 (en) * | 2022-04-15 | 2023-10-19 | 深圳波唯科技有限公司 | Control method and control apparatus for electric apparatus, and sensor |
| WO2024032591A1 (en) * | 2022-08-12 | 2024-02-15 | 歌尔股份有限公司 | Apparatus for collecting electromyographic signals, control method, and electronic device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011055326A1 (en) * | 2009-11-04 | 2011-05-12 | Igal Firsov | Universal input/output human user interface |
| CN102349037A (en) * | 2009-03-13 | 2012-02-08 | 微软公司 | Wearable electromyography-based controllers for human-computer interface |
| US20130265229A1 (en) * | 2012-04-09 | 2013-10-10 | Qualcomm Incorporated | Control of remote device based on gestures |
| CN103558918A (en) * | 2013-11-15 | 2014-02-05 | 上海威璞电子科技有限公司 | Gesture recognition scheme of smart watch based on arm electromyography |
-
2014
- 2014-03-21 CN CN201410105770.2A patent/CN103853333A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102349037A (en) * | 2009-03-13 | 2012-02-08 | 微软公司 | Wearable electromyography-based controllers for human-computer interface |
| WO2011055326A1 (en) * | 2009-11-04 | 2011-05-12 | Igal Firsov | Universal input/output human user interface |
| US20130265229A1 (en) * | 2012-04-09 | 2013-10-10 | Qualcomm Incorporated | Control of remote device based on gestures |
| CN103558918A (en) * | 2013-11-15 | 2014-02-05 | 上海威璞电子科技有限公司 | Gesture recognition scheme of smart watch based on arm electromyography |
Non-Patent Citations (1)
| Title |
|---|
| 张旭: "基于表面肌电信号的人体动作识别与交互", 《中国博士学位论文全文数据库 医药卫生科技辑》 * |
Cited By (37)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104190089A (en) * | 2014-08-21 | 2014-12-10 | 徐州飞梦电子科技有限公司 | Control method for gesture control over paper plane |
| CN105116995A (en) * | 2014-08-31 | 2015-12-02 | 上海傲意信息科技有限公司 | Intelligent wearable device and working method therefor |
| CN104352035A (en) * | 2014-09-24 | 2015-02-18 | 南京航空航天大学 | Gesture catch bracelet |
| CN105117003A (en) * | 2014-09-25 | 2015-12-02 | 上海傲意信息科技有限公司 | Intelligent wearing equipment and working method thereof |
| CN104460992A (en) * | 2014-11-20 | 2015-03-25 | 大连理工大学 | Finger movement detection device and method adopting infrared rays for irradiating intercarpal ligament |
| CN104460992B (en) * | 2014-11-20 | 2017-07-21 | 大连理工大学 | The finger motion detection means and method of a kind of use infrared radiation carpal ligaments |
| CN105807640A (en) * | 2014-12-30 | 2016-07-27 | 深圳Tcl新技术有限公司 | Terminal control method and terminal control system |
| CN107106070A (en) * | 2015-01-19 | 2017-08-29 | 国立大学法人北海道大学 | Myoelectric sensor |
| CN107106070B (en) * | 2015-01-19 | 2020-06-05 | 尼普洛株式会社 | Myoelectric sensor |
| US10702182B2 (en) | 2015-01-19 | 2020-07-07 | Nipro Corporation | Myoelectric sensor |
| CN104881116A (en) * | 2015-05-19 | 2015-09-02 | 陈文修 | Selecting type remote control switch |
| CN104881118B (en) * | 2015-05-25 | 2018-04-10 | 清华大学 | A kind of donning system for being used to capture human upper limb locomotion information |
| CN104881118A (en) * | 2015-05-25 | 2015-09-02 | 清华大学 | Wearable system used for capturing upper limb movement information of human body |
| CN105005383A (en) * | 2015-07-10 | 2015-10-28 | 昆山美莱来工业设备有限公司 | Wearable arm band that manipulates mobile robot by using hand gesture |
| CN107850935A (en) * | 2015-07-17 | 2018-03-27 | 电子部品研究院 | Wearable device and the method using the equipment input data |
| CN106484087A (en) * | 2015-09-02 | 2017-03-08 | 黄小明 | A kind of Portable telemetry body-sensing input method and device |
| CN105138133A (en) * | 2015-09-14 | 2015-12-09 | 李玮琛 | Biological signal gesture recognition device and method |
| CN105204639A (en) * | 2015-09-21 | 2015-12-30 | 杭州攻壳科技有限公司 | Control method of wrist equipment and wrist equipment |
| WO2017049768A1 (en) * | 2015-09-21 | 2017-03-30 | 杭州攻壳科技有限公司 | Control method for wrist device, and wrist device |
| CN105843400A (en) * | 2016-05-05 | 2016-08-10 | 广东小天才科技有限公司 | Somatosensory interaction method and device and wearable device |
| CN105943042A (en) * | 2016-06-07 | 2016-09-21 | 中国人民解放军国防科学技术大学 | Operator-hand-behavior perception system based on electromyographic signals |
| CN106569606A (en) * | 2016-11-08 | 2017-04-19 | 上海交通大学 | Smart home infrared control system and smart home infrared control method based on natural gesture identification |
| CN106695794A (en) * | 2017-02-20 | 2017-05-24 | 苏州晨本智能科技有限公司 | Mobile machine arm system based on surface myoelectric signal and control method of mobile machine arm system |
| CN108173562A (en) * | 2017-12-19 | 2018-06-15 | 沈阳工程学院 | A kind of 5G network communication apparatus |
| CN108524069A (en) * | 2018-03-12 | 2018-09-14 | 浙江理工大学 | Arm action rectifier |
| CN108829252A (en) * | 2018-06-14 | 2018-11-16 | 吉林大学 | Gesture input computer character device and method based on electromyography signal |
| CN109240508A (en) * | 2018-09-30 | 2019-01-18 | 清华大学 | Skin of dorsum of hand deformation restores finger movement method |
| CN111401166A (en) * | 2020-03-06 | 2020-07-10 | 中国科学技术大学 | Robust gesture recognition method based on electromyographic information decoding |
| CN111507944A (en) * | 2020-03-31 | 2020-08-07 | 北京百度网讯科技有限公司 | Skin smoothness determination method and device and electronic equipment |
| CN111507944B (en) * | 2020-03-31 | 2023-07-04 | 北京百度网讯科技有限公司 | Determination method and device for skin smoothness and electronic equipment |
| CN113849068A (en) * | 2021-09-28 | 2021-12-28 | 中国科学技术大学 | Gesture multi-mode information fusion understanding and interacting method and system |
| CN113849068B (en) * | 2021-09-28 | 2024-03-29 | 中国科学技术大学 | Understanding and interaction method and system for multi-modal information fusion of gestures |
| CN114995628A (en) * | 2021-10-13 | 2022-09-02 | 荣耀终端有限公司 | Method for recognizing air gesture and related equipment thereof |
| WO2023061037A1 (en) * | 2021-10-13 | 2023-04-20 | 荣耀终端有限公司 | Air gesture recognition method and related device thereof |
| CN114995628B (en) * | 2021-10-13 | 2023-08-11 | 荣耀终端有限公司 | Space gesture recognition method and related equipment thereof |
| WO2023197475A1 (en) * | 2022-04-15 | 2023-10-19 | 深圳波唯科技有限公司 | Control method and control apparatus for electric apparatus, and sensor |
| WO2024032591A1 (en) * | 2022-08-12 | 2024-02-15 | 歌尔股份有限公司 | Apparatus for collecting electromyographic signals, control method, and electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103853333A (en) | Gesture control scheme for toy | |
| CN103558918B (en) | The method realizing Gesture Recognition in intelligent watch | |
| Mahmud et al. | Interface for human machine interaction for assistant devices: A review | |
| US9367139B2 (en) | Systems, articles, and methods for gesture identification in wearable electromyography devices | |
| US9389694B2 (en) | Systems, articles, and methods for gesture identification in wearable electromyography devices | |
| CN103777752A (en) | Gesture recognition device based on arm muscle current detection and motion sensor | |
| CN102915111B (en) | A kind of wrist gesture control system and method | |
| CN104134060B (en) | Sign language interpreter and display sonification system based on electromyographic signal and motion sensor | |
| CN107832647B (en) | Phase type gesture recognition method based on passive radio frequency tag | |
| CN104881118B (en) | A kind of donning system for being used to capture human upper limb locomotion information | |
| CN104267813A (en) | Method for wristband and bracelet type products to realize input or selection through ten kinds of gestures | |
| US20120157886A1 (en) | Mechanomyography Signal Input Device, Human-Machine Operating System and Identification Method Thereof | |
| CN102334086A (en) | Device and method for monitoring an object's behavior | |
| CN105190578A (en) | Methods and devices that combine muscle activity sensor signals and inertial sensor signals for gesture-based control | |
| Jingqiu et al. | An ARM-based embedded gesture recognition system using a data glove | |
| CN112566553A (en) | Real-time spike detection and identification | |
| CN113849068B (en) | Understanding and interaction method and system for multi-modal information fusion of gestures | |
| CN103995595A (en) | Game somatosensory control method based on hand gestures | |
| CN112041784A (en) | Method and apparatus for simultaneous detection of discrete and continuous gestures | |
| US20220129081A1 (en) | Controller and method for gesture recognition and a gesture recognition device | |
| CN110866468A (en) | Gesture recognition system and method based on passive RFID | |
| CN105138133A (en) | Biological signal gesture recognition device and method | |
| CN107145232A (en) | The method and apparatus that a kind of utilization capacitance detecting recognizes user's hand behavior | |
| Dan et al. | Survey on hand gesture recognition approaches | |
| CN106512391B (en) | A kind of bimanual input recognition methods and the driving simulation system based on it, method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20140611 |
|
| RJ01 | Rejection of invention patent application after publication |