CN103558918B - The method realizing Gesture Recognition in intelligent watch - Google Patents
The method realizing Gesture Recognition in intelligent watch Download PDFInfo
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- CN103558918B CN103558918B CN201310568203.6A CN201310568203A CN103558918B CN 103558918 B CN103558918 B CN 103558918B CN 201310568203 A CN201310568203 A CN 201310568203A CN 103558918 B CN103558918 B CN 103558918B
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Abstract
Intelligent watch is small and exquisite and has very strong data operation and disposal ability, and its shortcoming and advantage are obvious equally.On the one hand, and smart mobile phone compares, owing to display screen size is little so that presenting to input with user in information has very big limitation, and practicality is not strong；On the other hand, and smart mobile phone or other electronic equipments compare, and are close to the skin of user so that by adding biological inductor, at the life bio information of detection user and on being used, there is very big advantage.The Gesture Recognition detected based on arm muscles current signal is added in intelligent watch by the present invention program, software makes full use of signal and the data-handling capacity of wrist-watch, plus increasing limited hardware circuit, not only can pass through gesture and control intelligent watch easily, and intelligent watch can also be become general gestures identification controller by installing gesture application program, greatly strengthen practicality and the value of intelligent watch, it is achieved that the seamless integration of two kinds of technology.
Description
Technical field
The present invention relates to the technical scheme adding a kind of gesture identification method in intelligent watch, this gesture identification method detects based on arm muscles current signal (EMG), carry out signal processing by intelligent watch, extract gesture feature parameter, it is achieved the difference of gesture.This kind of Gesture Recognition is integrated in intelligent watch, it is possible to the realization of integration uses gesture control intelligent watch, or is realized the function of general gestures identification controller further by intelligent watch, be used for controlling the electronic equipments such as such as mobile phone, TV, computer.Technically, when we do certain gesture, corresponding arm muscles can produce faint bioelectric current signal, by detecting the change of muscle current signal, process plus real time digital signal Gesture Recognition Algorithm, the characteristic parameter information of the gesture that finger, palm, Wrist-sport constitute can be detected, reach gesture and distinguish, and be mapped to various computer further and control input order.Meanwhile, intelligent watch tightens the wearable device of lagging skin as being worn on arm, has inborn feasibility advantage, by adding this kind of Gesture Recognition, will increase substantially the practical value of intelligent watch on extracting biological characteristic and being used.
Background technology
Along with the fast development of software and hardware relevant technical, 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, is greatly simplified user's reception and the method for transmission information.But with smart mobile phone compares, intelligent watch is limited to small size display screen curtain, still suffers from very big defect on content shows and operates, and generally uses only as the auxiliary peripheral hardware of smart mobile phone so that practicality is strong not, affect the universal of intelligent watch；And on the other hand, and other electronic equipments include smart mobile phone and compare, intelligent watch is close to the skin of user, by adding biological inductor technology, has very big advantage and potentiality at the life bio information of detection user and on being acted upon and utilizing.Modern medicine discloses arm muscles current signal and is belonging to the bioelectric current that nervous system produces, the weak biological electric current that muscle produces by neural impulse, produces to shrink power.Gesture is to stimulate the polylith muscle of arm to realize by nervous system according to certain mode.The present invention proposes and realizes gesture identification by detecting the change of arm muscles current signal, and is applied in intelligent watch, it is possible to control intelligent watch by gesture, or by gesture application program, intelligent watch converts general gestures controller to.This scheme increases few hardware cost, mainly utilizes the existing signal of intelligent watch and data-handling capacity, but is greatly enhanced practicality and the added value of intelligent watch product.
Summary of the invention
It is an object of the invention to for intelligent watch utilitarian function on the low side, and owing to display screen size limits, user controls the present situation of input difficulty, the innate advantage worn in conjunction with wrist-watch and be close on arm, it is proposed to a kind of realize the New Scheme of gesture identification by detecting the change of wrist-watch lower arms muscle current signal.This invention may not only be applied to directly control intelligent watch, and can be realized the function of general gestures identification controller by wrist-watch.This invention, by increasing few analogue 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, for instance bluetooth communication.On technology realizes, it is close to inside the watchband of skin and the back side of wrist-watch at wrist-watch, according to the position of arm major muscles, places one or more epidermis muscle current signal sensor, pick up muscle current signal；Signal after filtering, amplifies, and analog signal digital etc. is carried out real-time Digital Signal Processing by the processor of intelligent watch, extracts the characteristic parameter of each gesture after processing, it is achieved the gesture difference purpose to arrive gesture identification.Gesture identification function is mapped to a kind of human-computer interaction device (HID, HumanInterfaceDevice or HCI, HumanComputerInteraction) in the operating system of intelligent watch.
Accompanying drawing explanation
Fig. 1: the one adding the intelligent watch by muscle current signal identification gesture technology is likely to outward appearance signal.
Fig. 2: the other angle outward appearance adding the intelligent watch by muscle current signal identification gesture technology is illustrated.
Fig. 3: muscle current signal is illustrated to each signal processing link framework that gesture information is passed.
Fig. 4: conventional gesture motion signal.
Fig. 5: Gesture Recognition Algorithm basic procedure is illustrated.
Detailed description of the invention
The core of the present invention is the function adding in intelligent watch and doing gesture identification based on the detection of arm muscles current signal.Concrete technology implementation is the back side being close to arm skin place and wrist-watch inside the watchband of wrist-watch, a road or multichannel epidermis muscle current sensor is placed according to arm muscles position, sensor is likely to but is not limited to adopt difference form, the signal of pickup is filtered by corresponding analogue signal, amplify, the circuit such as analog signal digital conversion, become the visible continuous print digital signal streams of processor of intelligent watch, by realizing gesture recognition process algorithm within a processor, extract the characteristic parameter of each gesture, finally realize gesture identification.
Fig. 1 is a kind of possible appearance form being integrated with the intelligent watch (100) by muscle electric current identification gesture technology.Intelligent watch (100) is including but not limited to lower component: the wrist-watch main frame (101) of the circuit such as provided with processor, storage, communication and operation system of software, the display screen (105) of wrist-watch, photographic head (104), microphone (107), press button (108), watchband (102).The application software that intelligent watch (100) is installed, can select to run and exit by menu or icon (106) mode.The difference that this invents and existing intelligent watch is maximum in appearance shows themselves in that and is provided with epidermis muscle current signal sensor (103) in the inner side (102A) of watchband (102), it is possible to but it is not limited to differential sensor；The quantity of sensor (103) can be a road according to different cost needs, design complexities and gesture identification precision, or multichannel.Should be understood that, the watchband (102) shown in figure is divided into two parts of middle separation, practical application is not limited thereto, the emphasis point of the present invention is that the watchband (102) inner side (102A) in intelligent watch (100) is provided with sensor (103) circuit and the Gesture Recognition Algorithm realized in wrist-watch main frame (101).The form of expression of watchband (102) itself can be various.The outside (102B) of watchband can be provided with but be not limited to the parts that other auxiliary gesture identification are relevant.In design, the internal analogue signal front-end processing circuit being likely to but be not limited to that installation is relevant to sensor (103) of watchband (102), it is possible to but be not limited to adopt flexible circuit plate technique.
Fig. 2 is the appearance form being integrated with the intelligent watch (100) being identified gesture technology by the change of muscle current signal from the viewing of another one angle, and this angle main presentation sensor (103) is in the deployment scenarios at the back side (101A) of intelligent watch main frame.Sensor (103) except (102A) inside watchband can be arranged in, at the wrist-watch main frame back side (101A) equally possible according to design need place；Meanwhile, the quantity of sensor (103) is also not necessarily limited to a road or fixing several roads, and in practical application, the number of channels of sensor (103) depends entirely on the demand of design cost, complexity and gesture identification precision.
Fig. 3 instruction be from surface of arm skin come epidermis muscle current signal (306) be likely to through a series of processing links.From original table musculus cutaneus meat current signal (306) that sensor (103) picks up, signal is very faint, and usual peak-to-peak value is within 10mV, to detecting the useful signal frequency range of gesture within 0～1000Hz.Primary signal (306) zooms into peak-to-peak value through linear analogue amplifier circuit (301) and is suitable for the amplification signal (307) of follow-up analog to digital change-over circuit (303) range, frequency range restriction is done then through filter circuit (302), to reduce the interference to subsequent algorithm of the garbage signal frequency, amplify and filtered signal (308) converts digital signal (309) according to that Qwest (Nyquist) two sampling principle to by analog to digital change-over circuit (303), digital signal (309) carries out Gesture Recognition Algorithm process (304) through the processor of intelligent watch (100), finally to detect gesture feature information (305).Should illustrate, this schematic diagram be only intended to illustrate whole signal processing flow be likely to realize framework, actual realization is likely to but is not limited solely to this framework, such as amplifier circuit (301) and filter circuit (302) are entirely possible to location swap in realization, and filtering algorithm is likely in digital field realization etc..
Fig. 4 instruction is for controlling the possible conventional gesture of intelligent watch (100) and the order of gesture representative.Such as: the gesture motion turning over (401) on palm can be used as up movement directive, turn over (402) under palm and can be used as the order that moves down, clench fist (403) can be used as select and confirm order, normal palm position (404) indicates without order input.Above-mentioned action may also be used for doing continuous gesture motion, and then it is mapped to other orders, quick twice palm such as, turn over (401) action, it is possible to be used for representing that movement directive of turning left, continuous print are turned over (402) for twice time and represented movement directive etc. of turning right.Diagram herein is only intended to description gesture motion and computer command inputs possible mapping situation, practical application can define various gestures to meet the needs of different application, for instance special gesture motion or gesture motion sequence may be used for starting or terminate gesture command input.
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 is changed first passes through numeral pretreatment unit (501) and carries out such as digital filtering, for removing environmental noise further in the signal, the capable AC signal disturbing of such as 50Hz or 60Hz；Segment processing unit (502) is subsequently entered through digital pretreated signal, carry out such as rectification (Rectify), root-mean-square (RMS), fast fourier transform (FFT), small echo computing (Wavelet) etc. to process, sort 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；The multiple information extracted are then through the process of feature extraction (503) algorithm, for instance threshold decision and autocorrelation parameter extraction algorithm, extract the characteristic parameter of each gesture.In the operational mode, gesture decision logic (505) characteristic parameter coordinates gesture feature library model (504) data, carries out matching judgment by certain algorithm, finally exports gesture information (506).Except mode of operation, equipment also will support gesture training mode, and in such a mode, characteristic parameter is used to update or extension gesture feature library model (504).
Finally it should be noted that above example is only in order to illustrate technical scheme that the present invention is possible and unrestricted.Difference according to practical application, product is in outward appearance, algorithms etc. can be variant, although the present invention being described in detail with reference to preferred embodiment, those skilled in the art is to be understood that, technical scheme can be modified or equivalent replacement, without deviating from the spirit and scope of technical solution of the present invention.
Claims (1)
1. the method realizing Gesture Recognition in intelligent watch, this Gesture Recognition core is based on arm muscles current signal (EMG, Electromyography) detection, and by this Technology application in intelligent watch, it is achieved use gesture control wrist-watch；
Increasing analogue signal front-end processing and acquisition hardware circuit in intelligent watch, utilize the computing capability identification gesture of intelligent watch, and coordinate existing peripheral hardware, peripheral hardware includes bluetooth communication；It is close to inside the watchband of skin and the back side of wrist-watch at wrist-watch, according to the position of arm major muscles, places one or more epidermis muscle current signal sensor, pick up muscle current signal；Signal after filtering, amplifies, and analog signal digital etc. is carried out real-time Digital Signal Processing by the processor of intelligent watch, extracts the characteristic parameter of each gesture after processing, it is achieved the gesture difference purpose to arrive gesture identification；
Intelligent watch adds the function doing gesture identification based on the detection of arm muscles current signal；Sensor adopts difference form；
Intelligent watch (100) comprises: the wrist-watch main frame (101) of provided with processor, storage, communicating circuit and operation system of software, the display screen (105) of wrist-watch, photographic head (104), microphone (107), press button (108), watchband (102)；The application software that intelligent watch (100) is installed, can select to run and exit by menu or icon (106) mode；In the inner side (102A) of watchband (102), epidermis muscle current signal sensor (103), differential sensor are installed；The quantity of sensor (103) is a road or multichannel according to different cost needs, design complexities and gesture identification accuracy Design；Watchband (102) is divided into two parts of middle separation, and the watchband (102) inner side (102A) in intelligent watch (100) is provided with sensor (103) circuit；The outside (102B) of watchband is provided with the parts that auxiliary gesture identification is relevant；The internally installed analogue signal front-end processing circuit relevant to sensor (103) of watchband (102), adopts flexible circuit plate technique；
Sensor (103), except being arranged in (102A) inside watchband, is positioned over the wrist-watch main frame back side (101A) equally；Meanwhile, the quantity of sensor (103) is a road or fixing several roads, and in practical application, the number of channels of sensor (103) depends entirely on the demand of design cost, complexity and gesture identification precision；
From original table musculus cutaneus meat current signal (306) that sensor (103) picks up, signal is very faint, and usual peak-to-peak value is within 10mV, to detecting the useful signal frequency range of gesture within 0～1000Hz；Primary signal (306) zooms into peak-to-peak value through linear analogue amplifier circuit (301) and is suitable for the amplification signal (307) of follow-up analog to digital change-over circuit (303) range, frequency range restriction is done then through filter circuit (302), to reduce the interference to subsequent algorithm of the garbage signal frequency, amplify and filtered signal (308) converts digital signal (309) according to that Qwest (Nyquist) two sampling principle to by analog to digital change-over circuit (303), digital signal (309) carries out Gesture Recognition Algorithm process (304) through the processor of intelligent watch (100), finally to detect gesture feature information (305)；
The gesture motion turning over (401) on palm is used as up movement directive, (402) are turned over as moving down order under palm, clench fist (403) with electing and confirming that order, normal palm position (404) indicate without order input；Above-mentioned action is used for doing continuous gesture motion, and then is mapped to other orders, and quick twice palm turns over (401) action, is used for representing that movement directive of turning left, continuous print are turned over (402) for twice time and represented movement directive of turning right；Special gesture motion or gesture motion sequence are used for starting or terminate gesture command input；
The digital signal processing algorithm of gesture identification includes: one or more digital signal (309) after analog to digital is changed first passes through numeral pretreatment unit (501) and carries out digital filtering, for removing environmental noise further in the signal, including the capable AC signal disturbing of 50Hz or 60Hz；Segment processing unit (502) is subsequently entered through digital pretreated signal, carry out rectification (Rectify), root-mean-square (RMS), fast fourier transform (FFT), small echo computing (Wavelet) process, sort 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；The multiple information extracted are then through the process of feature extraction (503) algorithm, and feature extraction (503) algorithm is threshold decision and autocorrelation parameter extraction algorithm, extracts the characteristic parameter of each gesture；In the operational mode, gesture decision logic (505) characteristic parameter coordinates gesture feature library model (504) data, carries out matching judgment by certain algorithm, finally exports gesture information (506)；Except mode of operation, equipment also will support gesture training mode, and in such a mode, characteristic parameter is used to update or extension gesture feature library model (504).
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