CN103558918A - Gesture recognition scheme of smart watch based on arm electromyography - Google Patents
Gesture recognition scheme of smart watch based on arm electromyography Download PDFInfo
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- CN103558918A CN103558918A CN201310568203.6A CN201310568203A CN103558918A CN 103558918 A CN103558918 A CN 103558918A CN 201310568203 A CN201310568203 A CN 201310568203A CN 103558918 A CN103558918 A CN 103558918A
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Abstract
A smart watch is small and exquisite, and has very high data operation and processing capacity; the disadvantages and the advantages of the smart watch are obvious; compared with a smart mobile phone, a display screen is small in size, so that the smart watch has great limitation in information display and user input, and is not high in practicability; and compared with the smart mobile phone or other electronic equipment, the smart watch clings to skin of a user, so that the smart watch has great advantages in detecting and utilizing life biological information of the user by adding a biological inductor. According to a scheme, a gesture recognition technology based on arm electromyography is added to the smart watch, software fully uses the signal and data processing capacity of the watch, and limited hardware circuits are increased, so that the smart watch can be controlled conveniently by a gesture, the smart watch can be changed into a universal gesture recognition controller by mounting a gesture application program, the practicability and a value of the smart watch are improved and increased greatly, and seamless integration of two technologies is realized.
Description
Technical field
The present invention relates to add a kind of technical scheme of gesture identification method in intelligent watch, this gesture identification method detects based on arm muscle current signal (EMG), by intelligent watch, carries out signal processing, extracts gesture feature parameter, realizes the difference of gesture.This kind of Gesture Recognition is integrated in intelligent watch, control intelligent watch can integrated realization uses gesture, or further by intelligent watch, realize the function of general gesture identification controller, for control example as electronic equipments such as mobile phone, TV, computers.Technically, when we do certain gesture, corresponding arm muscle can produce faint bioelectric current signal, by detecting the variation of muscle current signal, add the processing of real time digital signal Gesture Recognition Algorithm, the characteristic parameter information that can detect the gesture of finger, palm, Wrist-sport formation, reaches gesture and distinguishes, and be further mapped to various computer control input commands.Meanwhile, intelligent watch is as the wearable device that is worn on arm and tightens lagging skin, extract biological characteristic and be used on there is inborn feasibility advantage, by adding this kind of Gesture Recognition, will increase substantially the practical value of intelligent watch.
Background technology
Along with the relevant scientific and technological fast development of software and hardware, the integrated level of intelligent watch is more and more higher, and function is more and more abundanter, and the cell-phone function of significant proportion can be realized by intelligent watch, greatly simplifies the method for user's reception and transmission of information.But with smart mobile phone comparison, intelligent watch is limited to small size display screen, on showing and operate, content still there is very large defect, generally can only use as the auxiliary peripheral hardware of smart mobile phone, make practicality strong not, affect the universal of intelligent watch; And on the other hand, and other electronic equipments comprise smart mobile phone comparison, intelligent watch is close to user's skin, by adding biological inductor technology, is detecting user's life biological information and in addition on disposal and utilization, is having very large advantage and potentiality.It is to belong to the bioelectric current that nervous system produces that modern medicine discloses arm muscle current signal, and the weak biological electric current that muscle produces by nerve impulse produces and shrinks power.Gesture is according to certain mode, to stimulate the polylith muscle of arm to realize by nervous system.The present invention proposes by detecting the variation of arm muscle current signal and realize gesture identification, and be applied in intelligent watch, can control intelligent watch by gesture, or convert intelligent watch to general gesture controller by gesture application program.This scheme increases few hardware cost, mainly utilizes the existing signal of intelligent watch and data-handling capacity, but greatly improves practicality and the added value of intelligent watch product.
Summary of the invention
The object of the invention is for intelligent watch utility function on the low side, and due to display screen size restriction, the present situation of user's control inputs difficulty, in conjunction with wrist-watch, wear and be close to the innate advantage on arm, a kind of New Scheme that realizes gesture identification by detecting the variation of wrist-watch lower arms muscle current signal of proposition.This invention not only can be used for directly controlling intelligent watch, and can realize by wrist-watch the function of general gesture identification controller.This invention, by increase few simulating signal front-end processing and acquisition hardware circuit in intelligent watch, utilizes the computing capability identification gesture of intelligent watch, and coordinates existing peripheral hardware, and for example bluetooth communication, realizes the significantly lifting that intelligent watch is worth.Technology realizes upper, at wrist-watch, is close to the watchband inner side of skin and the back side of wrist-watch, according to the position of the main muscle of arm, places one or more epidermis muscle current signal sensor, picks up muscle current signal; Signal after filtering, amplifies, and after analog signal figure etc. are processed, by the processor of intelligent watch, carries out real-time digital signal processing, extracts the characteristic parameter of each gesture, realizes the object that gesture distinguishes to arrive gesture identification.Gesture identification function is mapped to a kind of human-computer interaction device (HID, Human Interface Device or HCI, Human Computer Interaction) in the operating system of intelligent watch.
Accompanying drawing explanation
Fig. 1: added a kind of of intelligent watch by muscle current signal identification gesture technology outward appearance to illustrate.
Fig. 2: added the other angle outward appearance of the intelligent watch by muscle current signal identification gesture technology to illustrate.
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 adds based on arm muscle current signal and detects the function do gesture identification in intelligent watch.Concrete technology is embodied as the back side of being close to arm skin place and wrist-watch in the watchband inner side of wrist-watch, according to arm muscular position, put Zhi Yi road or multichannel epidermis muscle current sensor, sensor may but be not limited to adopt difference form, 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 processor of intelligent watch, by realize gesture recognition process algorithm in processor, extract the characteristic parameter of each gesture, finally realize gesture identification.
A kind of possible outward appearance form of expression of the intelligent watch (100) that Fig. 1 is integrated by muscle electric current identification gesture technology.Intelligent watch (100) is including but not limited to lower member: the wrist-watch main frame (101) of the circuit such as provided with processor, storage, communication and operation system of software, the display screen of wrist-watch (105), camera (104), microphone (107), pushbutton switch (108), watchband (102).The application software that intelligent watch (100) is installed, can be selected operation and be exited by menu or icon (106) mode.The maximum in appearance difference of this invention and existing intelligent watch shows as: in the inner side of watchband (102) (102A), epidermis muscle current signal sensor (103) is installed, and possible but be not limited to differential sensor; The quantity of sensor (103) can Shi Yi road according to different cost demands, design complexities and gesture identification precision, or multichannel.Should be understood that, two parts of separation in the middle of the watchband of showing in figure (102) is divided into, practical application is not limited to this, emphasis point of the present invention is to be furnished with sensor (103) circuit in the watchband of intelligent watch (100) (102) inner side (102A), and the Gesture Recognition Algorithm of realizing in wrist-watch main frame (101).The form of expression of watchband (102) itself can be various.The outside of watchband (102B) can be furnished with but be not limited to the parts that other auxiliary gesture identification are relevant.In design, watchband (102) inner may but be not limited to install the simulating signal front-end processing circuit relevant to sensor (103), possible but be not limited to adopt flexible circuit plate technique.
Fig. 2 has watched integrated from another one angle to pass through the outward appearance form of expression that muscle current signal changes the intelligent watch (100) of identification gesture technology, and this angle mainly shows that sensor (103) is in the deployment scenarios at the back side of intelligent watch main frame (101A).Sensor (103), except being arranged in watchband inner side (102A), can need to place according to design at the wrist-watch main frame back side (101A) equally; Meanwhile, the quantity of sensor (103) is also not limited to a road, or fixing Ji road, and the number of channels of sensor in practical application (103) depends on the demand of design cost, complexity and gesture identification precision completely.
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 original table musculus cutaneus meat current signal (306) picking up from sensor (103), signal is very faint, and peak-to-peak value is in 10mV, to detecting the useful signal frequency range of gesture in 0～1000Hz conventionally.Original signal (306) zooms into through linear analogue amplifier circuit (301) amplifying signal (307) that peak-to-peak value is applicable to follow-up analog to digital change-over circuit (303) range, circuit (302) is done frequency range restriction after filtering again, to reduce the interference of garbage signal frequency to subsequent algorithm, amplification and filtered signal (308) convert digital signal (309) according to that Qwest (Nyquist) two sampling principles to by analog to digital change-over circuit (303), digital signal (309) is carried out Gesture Recognition Algorithm processing (304) through the processor of intelligent watch (100), finally to detect gesture feature information (305).Should illustrate, this schematic diagram is just for illustrating the possible implementation framework of whole signal processing flow, in actual realization may but be not limited solely to this framework, amplifier circuit (301) and filtering circuit (302) location swap completely likely in realization for example, filtering algorithm also may be realized etc. in digital field.
What Fig. 4 indicated is for controlling the order of the possible conventional gesture of intelligent watch (100) and gesture representative.For example: the gesture motion of turning over (401) on palm can be used as up movement directive, turn over (402) and can be used as the order that moves down under palm, clench fist (403) can be used as selecting and confirming order, and normal palm position (404) indicates without order input.Above-mentioned action also can be used for doing continuous gesture motion, and then is mapped to other orders, for example, on twice palm, turn over fast (401) action, can be used for representing to turn left movement directive, and continuous turn over for twice time (402) represent to turn right movement directive etc.Diagram herein is just inputted possible mapping situation for describing gesture motion and computer command, in practical application, can define various gestures to meet the needs of different application, for example special gesture motion or gesture motion sequence can be for starting or the input of termination gesture command.
What Fig. 5 indicated is the digital signal processing algorithm flow process framework of gesture identification.One or more digital signal (309) after analog to digital conversion is first passed through digital pretreatment unit (501) and is carried out for example digital filtering, for further removing environmental noise at signal, such as the power supply AC signal of 50Hz or 60Hz is disturbed; Through digital pretreated signal, then enter staging treating unit (502), carry out processing such as 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 phase relation; A plurality of 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, by certain algorithm, carries out matching judgment, 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 is in outward appearance, algorithms 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, can modify or be equal to replacement technical scheme of the present invention, and not depart from the spirit and scope of technical solution of the present invention.
Claims (9)
1. in intelligent watch, realize a method for Gesture Recognition, this Gesture Recognition core detects based on arm muscle current signal (EMG, Electromyography), and this technology is used in intelligent watch, realizes the control wrist-watch that uses gesture.
2. as integrated in claim 1 intelligent watch of Gesture Recognition, in watch bracelet inner side, there is one or more epidermis muscle current signal sensor the position of being close to arm skin, and sensor is placed according to the position of the main muscle of arm, and sensor can adopt but be not limited to difference modes.
3. as claim 1, the 2 integrated intelligent watchs of Gesture Recognition, in watch bracelet inside, can be equipped with analog signal processing circuit, may but be not limited to amplifying circuit of analog signal, simulating signal filtering circuit etc., circuit board may adopt but be not limited to flexible circuit plate technique.
4. as claim 1,2, the 3 integrated intelligent watchs of Gesture Recognition, at the intelligent watch main frame back side, be close to arm skin site, can not place, or be placed with a road, or multichannel epidermis muscle current signal sensor, sensor is placed according to the position of arm muscle, and sensor can adopt but be not limited to difference modes.
5. as claim 1,2,3, the 4 integrated intelligent watchs of Gesture Recognition, one or more arm epidermis muscle current signal, needs through but is not limited to amplifying circuit of analog signal, analog to digital change-over circuit, filtering circuit; Filtering circuit can complete by the numeric field after simulating signal field or digitizing.
6. as claim 1,2,3,4, the 5 integrated intelligent watchs of Gesture Recognition, one or more muscle current signal after digitizing, can by but be not limited to the existing central processing unit of intelligent watch and carry out digital signal processing, extract the characteristic parameter of each gesture, by gesture feature storehouse model, carry out gesture coupling, to distinguish gesture, and gesture is to the mapping able to programme of computer command.
7. as claim 6, the characteristic parameter of each gesture of extraction, under training mode, can and expand gesture feature storehouse model for renewal.
8. as claim 6, the gesture information of identifying by intelligent watch, after being mapped to computer command, can be used for directly controlling intelligent watch; Or convert intelligent watch to general gesture controller by gesture application program, the wireless communication modes such as the bluetooth being equipped with by intelligent watch or Wi-Fi, are connected to other electronic equipments, as a kind of man-machine interaction input equipment, use.
9. as claim 1, the control of gesture command to smart mobile phone, can open and close by some special gesture motion or gesture motion sequence, or open and close by the physical button on intelligent watch or virtual push button.
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| CN108108016A (en) * | 2017-12-07 | 2018-06-01 | 浙江大学 | Gesture perceptron |
| CN110377152A (en) * | 2019-06-19 | 2019-10-25 | 重庆爱奇艺智能科技有限公司 | A kind of wearable finger ring and the method for controlling corresponding virtual reality device |
| CN111475092A (en) * | 2020-03-23 | 2020-07-31 | 深圳市多亲科技有限公司 | Remote control operation method and device of smart phone and mobile terminal |
| 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 |
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