CN104714630A - Gesture recognition method and system and computer - Google Patents
Gesture recognition method and system and computer Download PDFInfo
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- CN104714630A CN104714630A CN201310680802.7A CN201310680802A CN104714630A CN 104714630 A CN104714630 A CN 104714630A CN 201310680802 A CN201310680802 A CN 201310680802A CN 104714630 A CN104714630 A CN 104714630A
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Abstract
The invention relates to a gesture recognition method and system and a computer. The method comprises the steps that the positions of input equipment and a finger are located; first space is got outside the input equipment according to the position of the input equipment; whether the finger is located in the first space is judged according to the position of the finger; if the finger is located in the first space, a gesture of the finger is collected and recognized. The gesture recognition method and system and the computer have the advantages that the finger action used for gesture recognition and the finger input action used for operating the input equipment can be distinguished, the accurate recognition of the user gesture is facilitated, and the cooperative use efficiency of gesture inputting and the input equipment are beneficial for being improved.
Description
Technical field
The present invention relates to a kind of gesture identification method, system and computing machine.
Background technology
Along with the development of Gesture Recognition, user makes to have used gesture input operation more: the gesture that can be gathered user's finger by first-class equipment of making a video recording, and then computing machine can analyze the operation representated by user's gesture, and performs this operation.But only make to use gesture to carry out inputting, the mode due to gesture identification is difficult to contain abundant input content, and efficiency is lower, greatly can affect the work efficiency of user.
Compared to the input mode based on gesture identification, to adopt the input equipment such as keyboard to carry out input be more traditional and input mode efficiently.For input through keyboard, the deficiency of keyboard entry method is that it can not contain all input contents, usual input through keyboard can with mouse input, mode such as touching input etc. with the use of.
At present, not yet have by based on the input mode of the input equipments such as keyboard and gesture input with the use of technical scheme, for input through keyboard, this is because user is when knocking keyboard, finger can carry out hammer action, and existing scheme is difficult to the gesture input action of the hammer action of finger and user to be distinguished, thus may carry out gesture identification to finger hammer action, so just cause identification error, thus have impact on the input service of user.
The design people's actively in addition research and innovation, to founding a kind of novel gesture identification method, system and computing machine, makes it have more practicality.
Summary of the invention
Fundamental purpose of the present invention is, provides a kind of novel computing machine, and technical matters to be solved distinguishes gesture motion from the action of user's finger, and identify it, thus be more suitable for practicality.
The object of the invention to solve the technical problems realizes by the following technical solutions.According to a kind of gesture identification method that the present invention proposes, for carrying out gesture identification to the finger of user, described finger also carries out input operation on the input, and described gesture identification method comprises: the position of location input equipment and finger; According to the position of described input equipment, outside described input equipment, get the first space; According to the position of described finger, judge whether described finger is arranged in described first space; As described in finger be arranged in as described in the first space, gather the gesture of described finger and identify.
The object of the invention to solve the technical problems also can be applied to the following technical measures to achieve further.
Preferably, aforesaid gesture identification method, also comprises: according to the position of described equipment, outside described input equipment, get second space, described second space is adjacent with described first space, and described second space is between described first space and described input equipment; According to the position of described finger, judge whether described finger is arranged in described second space; As described in finger be arranged in as described in second space, gather the gesture of described finger and do not identify.
Preferably, aforesaid gesture identification method, the described first top being spatially located at described input equipment, described second space is positioned at the below in described first space.
Preferably, aforesaid gesture identification method, the step of the position of the described input equipment in described location and finger comprises: gather image, described image comprises described input equipment and described finger; From described image, identify described input equipment and described finger, determine the position of described input equipment and described finger according to recognition result; Described collection also identifies that the step of the gesture of described finger specifically comprises: from described image, extract the gesture of described finger and identify.
Preferably, aforesaid gesture identification method, the described step identifying described input equipment and described finger from described image specifically comprises: when described input equipment is provided with luminous first component, from described image, extract brightness exceed the region of predetermined threshold value as described first component, and from described image, identify described input equipment according to the position of described first component.
Preferably, aforesaid gesture identification method, the described step identifying described input equipment and described finger from described image specifically comprises: when described input equipment is provided with the second component with given shape, from described image, extract shape and preset shape matching degree exceedes the region of predetermined threshold as described second component, and from described image, identify described input equipment based on the position of described second component.
Preferably, aforesaid gesture identification method, described input equipment comprises keyboard, touch-screen and/or touch pad.
The object of the invention to solve the technical problems also realizes by the following technical solutions.According to a kind of gesture recognition system that the present invention proposes, for carrying out gesture identification to the finger of user, described finger also carries out input operation on the input, and described gesture recognition system comprises: locating module, for locating the position of input equipment and finger; First space obtains module, for the position according to described input equipment, gets the first space outside described input equipment; First judge module, for the position according to described finger, judges whether described finger is arranged in described first space; First processing module, as described in finger be arranged in as described in the first space, gather the gesture of described finger and identify.
Preferably, aforesaid gesture recognition system, also comprise: second space obtains module, for the position according to described equipment, second space is got outside described input equipment, described second space is adjacent with described first space, and described second space is between described first space and described input equipment; Second judge module, for the position according to described finger, judges whether described finger is arranged in described second space; Second processing module, as described in finger be arranged in as described in second space, gather the gesture of described finger and do not identify.
Preferably, aforesaid gesture recognition system, the described first top being spatially located at described input equipment, described second space is positioned at the below in described first space.
Preferably, aforesaid gesture recognition system, also comprises: image capture module, and for gathering image, described image comprises described input equipment and described finger; Picture recognition module, for identifying described input equipment and described finger from described image, described locating module determines the position of described input equipment and described finger according to recognition result; Described first processing module is extracted the gesture of described finger and is identified from described image.
Preferably, aforesaid gesture recognition system, described input equipment is provided with luminous first component, described picture recognition module is extracted brightness and is exceeded the region of predetermined threshold value as described first component from described image, and from described image, identifies described input equipment according to the position of described first component.
Preferably, aforesaid gesture recognition system, described input equipment is provided with the second component with given shape, described picture recognition module from described image, extract shape and preset shape matching degree exceedes the region of predetermined threshold as described second component, and from described image, identifies described input equipment based on the position of described second component.
Preferably, aforesaid gesture recognition system, described input equipment comprises keyboard, touch-screen and/or touch pad.
The object of the invention to solve the technical problems also realizes by the following technical solutions.According to a kind of computing machine that the present invention proposes, comprising: aforesaid gesture recognition system.
By technique scheme, gesture identification method of the present invention, system and computing machine at least have following advantages:
The first space is obtained outside input equipment, if the finger of user enters the first space, then represent that the finger of user leaves input equipment, the action of finger in the first space must not be the input action based on input equipment, but the gesture motion of gesture identification need be carried out, now can gather the gesture of finger and complete identification, the action that the action for gesture identification and carrying out for operation input apparatus then can distinguishing finger in technical scheme of the present invention inputs, be conducive to the accurate identification to user's gesture, and be conducive to improve gesture input and input equipment with the use of efficiency.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to better understand technological means of the present invention, and can be implemented according to the content of instructions, coordinates accompanying drawing to be described in detail as follows below with preferred embodiment of the present invention.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of gesture identification method according to an embodiment of the invention;
Fig. 2 is the process flow diagram of gesture identification method according to an embodiment of the invention;
Fig. 3 is the block diagram of gesture recognition system according to an embodiment of the invention;
Fig. 4 is the block diagram of gesture recognition system according to an embodiment of the invention;
Fig. 5 is the block diagram of gesture recognition system according to an embodiment of the invention;
Fig. 6 is the block diagram of computing machine according to an embodiment of the invention.
Embodiment
For further setting forth the present invention for the technological means reaching predetermined goal of the invention and take and effect, below in conjunction with accompanying drawing and preferred embodiment, to the gesture identification method proposed according to the present invention, system and its embodiment of computing machine, structure, feature and effect thereof, be described in detail as follows.In the following description, the not necessarily same embodiment that different " embodiment " or " embodiment " refers to.In addition, special characteristic, structure or feature in one or more embodiment can be combined by any suitable form.
As shown in Figure 1, a kind of gesture identification method that one embodiment of the present of invention propose, for carrying out gesture identification to the finger of user, finger also carries out input operation on the input, the gesture identification method of the present embodiment comprises: step 101, the position of location input equipment and finger; Step 102, according to the position of input equipment, the first space is got outside input equipment, namely the position in the first space becomes with the position of input equipment, in the optional implementation of the present embodiment, first spatial form can, for the rectangular parallelepiped space determined based on the x, y and z axes in solid space, also can be that certain puts the diameter of Spherical Volume determined based in solid space; Step 103, according to the position of finger, judges whether finger is arranged in the first space; Step 104, as finger is arranged in the first space, just illustrate that finger leaves input equipment, the action of finger is inevitable is not the input action realized based on input equipment, but for the gesture motion that gesture inputs, now gathers the gesture of finger and identify.
Preferably, as shown in Figure 2, another embodiment of the present invention proposes a kind of gesture identification method, compared with above-described embodiment, the gesture identification method of the present embodiment, can also comprise: step 105, according to the position of equipment, second space is got outside input equipment, in the optional implementation of the present embodiment, first spatial form can be based on the x in solid space, the rectangular parallelepiped space that y and z-axis are determined, also can be that certain puts the diameter of Spherical Volume determined based in solid space, second space is adjacent with the first space, second space is between the first space and input equipment, step 106, according to the position of finger, judges whether finger is arranged in second space, step 107, as finger is arranged in second space, just illustrate that the finger of user presses close to input equipment, the action now pointed is the input action realized based on input equipment, so should not gesture identification be carried out, this also represents that user is in the state of input service, likely carry out gesture input at any time, so be necessary to enable the function gathering gesture on computers, so that when user is switched to gesture input, gesture can be gathered in time to identify, as now closed the function gathering gesture, the regular hour is needed owing to enabling this function, be difficult to gather gesture in time when user is switched to gesture input, and frequently enable and close this function and easily cause work abnormal, so the strategy now taked is the gesture of collection finger and does not identify.
Preferably, another embodiment of the present invention proposes a kind of gesture identification method, compared with above-described embodiment, the gesture identification method of the present embodiment, the first top being spatially located at input equipment, second space is positioned at the below in the first space, this is because the finger of usual user is placed on input equipment carry out input operation, this is the position of second space, and user's finger is raised further, leaves input equipment, to carry out gesture input, this is the position in the first space.
Preferably, another embodiment of the present invention proposes a kind of gesture identification method, compared with above-described embodiment, and the gesture identification method of the present embodiment, step 101 comprises: by making a video recording, first-class equipment gathers image, and image comprises input equipment and finger; Based on image recognition technology, input equipment and finger can be identified from image, according to the position of recognition result determination input equipment and finger; Step 104 specifically comprises: same based on image recognition technology, extracts the gesture of finger and identify from image.
Preferably, another embodiment of the present invention proposes a kind of gesture identification method, compared with above-described embodiment, the gesture identification method of the present embodiment, step 101 specifically comprises: when being provided with luminous first component on the input, the illuminating parts such as such as pilot lamp, from image, extract brightness exceed the region of predetermined threshold value as first component, and from image, identify input equipment according to the position of first component, then utilize luminous component to be conducive to identifying input equipment from image, improve the efficiency identifying input equipment.
Preferably, another embodiment of the present invention proposes a kind of gesture identification method, compared with above-described embodiment, the gesture identification method of the present embodiment, step 101 specifically comprises: when being provided with the second component with given shape on the input, the bulk such as protruded on the input or pellet part, shape is extracted and preset shape matching degree exceedes the region of predetermined threshold as second component from image, and from image, identify input equipment based on the position of second component, the parts of given shape are then utilized to be conducive to identifying input equipment from image, improve the efficiency identifying input equipment.
Preferably, another embodiment of the present invention proposes a kind of gesture identification method, compared with above-described embodiment, the gesture identification method of the present embodiment, input equipment includes but not limited to keyboard, touch-screen and/or touch pad, it will be appreciated by those skilled in the art that keyboard, touch-screen and touch pad etc. are only example, but be not limited to the technical scheme of the present embodiment, the input equipment of other types is equally applicable to the technical scheme of the present embodiment.
As shown in Figure 3, one embodiment of the present of invention propose a kind of gesture recognition system, for carrying out gesture identification to the finger of user, finger also carries out input operation on the input, the gesture recognition system of the present embodiment comprises: locating module 201, for locating the position of input equipment and finger; First space obtains module 202, for the position according to input equipment, the first space is got outside input equipment, namely the position in the first space becomes with the position of input equipment, in the optional implementation of the present embodiment, first spatial form can, for the rectangular parallelepiped space determined based on the x, y and z axes in solid space, also can be that certain puts the diameter of Spherical Volume determined based in solid space; First judge module 203, for the position according to finger, judges whether finger is arranged in the first space; First processing module 204, as finger is arranged in the first space, just illustrate that finger leaves input equipment, the action of finger is inevitable is not the input action realized based on input equipment, but for the gesture motion that gesture inputs, now gather the gesture of finger and identify.
Preferably, as shown in Figure 4, another embodiment of the present invention proposes a kind of gesture recognition system, compared with above-described embodiment, the gesture recognition system of the present embodiment, can also comprise: second space obtains module 205, for the position according to equipment, second space is got outside input equipment, in the optional implementation of the present embodiment, first spatial form can be based on the x in solid space, the rectangular parallelepiped space that y and z-axis are determined, also can be that certain puts the diameter of Spherical Volume determined based in solid space, second space is adjacent with the first space, second space is between the first space and input equipment, second judge module 206, for the position according to finger, judges whether finger is arranged in second space, second processing module 207, as finger is arranged in second space, just illustrate that the finger of user presses close to input equipment, the action now pointed is the input action realized based on input equipment, so should not gesture identification be carried out, this also represents that user is in the state of input service, likely carry out gesture input at any time, so be necessary to enable the function gathering gesture on computers, so that when user is switched to gesture input, gesture can be gathered in time to identify, as now closed the function gathering gesture, the regular hour is needed owing to enabling this function, be difficult to gather gesture in time when user is switched to gesture input, and frequently enable and close this function and easily cause work abnormal, so the strategy now taked is the gesture of collection finger and does not identify.
Preferably, another embodiment of the present invention proposes a kind of gesture recognition system, compared with above-described embodiment, the gesture recognition system of the present embodiment, the first top being spatially located at input equipment, second space is positioned at the below in the first space, this is because the finger of usual user is placed on input equipment carry out input operation, this is the position of second space, and user's finger is raised further, leaves input equipment, to carry out gesture input, this is the position in the first space.
Preferably, as shown in Figure 5, another embodiment of the present invention proposes a kind of gesture recognition system, compared with above-described embodiment, the gesture recognition system of the present embodiment, can also comprise: image capture module 208, for gathering image by the first-class equipment of shooting, image comprises input equipment and finger; Picture recognition module 209, for identifying input equipment and finger from image, locating module 201 is according to the position of recognition result determination input equipment and finger; First processing module 204 is same based on image recognition technology, extracts the gesture of finger and identify from image.
Preferably, another embodiment of the present invention proposes a kind of gesture recognition system, compared with above-described embodiment, the gesture recognition system of the present embodiment, when being provided with luminous first component on the input, the illuminating parts such as such as pilot lamp, picture recognition module 209 is extracted brightness and is exceeded the region of predetermined threshold value as first component from image, and from image, identify input equipment according to the position of first component, then utilize luminous component to be conducive to identifying input equipment from image, improve the efficiency identifying input equipment.
Preferably, another embodiment of the present invention proposes a kind of gesture recognition system, compared with above-described embodiment, the gesture recognition system of the present embodiment, when being provided with the second component with given shape on the input, picture recognition module 209 from image, extract shape and preset shape matching degree exceedes the region of predetermined threshold as second component, the bulk such as protruded on the input or pellet part, and from image, identify input equipment based on the position of second component, the parts of given shape are then utilized to be conducive to identifying input equipment from image, improve the efficiency identifying input equipment.
Preferably, another embodiment of the present invention proposes a kind of gesture recognition system, compared with above-described embodiment, the gesture recognition system of the present embodiment, input equipment includes but not limited to keyboard, touch-screen and/or touch pad, it will be appreciated by those skilled in the art that keyboard, touch-screen and touch pad etc. are only example, but be not limited to the technical scheme of the present embodiment, the input equipment of other types is equally applicable to the technical scheme of the present embodiment.
As shown in Figure 6, one embodiment of the present of invention propose a kind of computing machine, comprise: the gesture recognition system 3 of previous embodiment, known based on previous embodiment, the action that the action for gesture identification and carrying out for operation input apparatus that the computing machine of the present embodiment can distinguish finger inputs, be conducive to the accurate identification to user's gesture, and be conducive to improve gesture input and input equipment with the use of efficiency.
In sum, gesture identification method of the present invention, system and computing machine at least have following advantages:
The first space is obtained outside input equipment, if the finger of user enters the first space, then represent that the finger of user leaves input equipment, the action of finger in the first space must not be the input action based on input equipment, but the gesture motion of gesture identification need be carried out, now can gather the gesture of finger and complete identification, the action that the action for gesture identification and carrying out for operation input apparatus then can distinguishing finger in technical scheme of the present invention inputs, be conducive to the accurate identification to user's gesture, and be conducive to improve gesture input and input equipment with the use of efficiency.
The above, it is only preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, although the present invention discloses as above with preferred embodiment, but and be not used to limit the present invention, any those skilled in the art, do not departing within the scope of technical solution of the present invention, make a little change when the technology contents of above-mentioned announcement can be utilized or be modified to the Equivalent embodiments of equivalent variations, in every case be the content not departing from technical solution of the present invention, according to any simple modification that technical spirit of the present invention is done above embodiment, equivalent variations and modification, all still belong in the scope of technical solution of the present invention.
Claims (15)
1. a gesture identification method, for carrying out gesture identification to the finger of user, described finger also carries out input operation on the input, it is characterized in that, described gesture identification method comprises:
The position of location input equipment and finger;
According to the position of described input equipment, outside described input equipment, get the first space;
According to the position of described finger, judge whether described finger is arranged in described first space;
As described in finger be arranged in as described in the first space, gather the gesture of described finger and identify.
2. gesture identification method according to claim 1, is characterized in that, also comprises:
According to the position of described equipment, outside described input equipment, get second space, described second space is adjacent with described first space, and described second space is between described first space and described input equipment;
According to the position of described finger, judge whether described finger is arranged in described second space;
As described in finger be arranged in as described in second space, gather the gesture of described finger and do not identify.
3. gesture identification method according to claim 2, is characterized in that,
Described first top being spatially located at described input equipment, described second space is positioned at the below in described first space.
4. gesture identification method according to claim 1, is characterized in that, the step of the position of the described input equipment in described location and finger comprises:
Gather image, described image comprises described input equipment and described finger;
From described image, identify described input equipment and described finger, determine the position of described input equipment and described finger according to recognition result;
Described collection also identifies that the step of the gesture of described finger specifically comprises:
From described image, extract the gesture of described finger and identify.
5. gesture identification method according to claim 4, is characterized in that, the described step identifying described input equipment and described finger from described image specifically comprises:
Described input equipment is provided with luminous first component, from described image, extracts brightness exceed the region of predetermined threshold value as described first component, and from described image, identify described input equipment according to the position of described first component.
6. gesture identification method according to claim 4, is characterized in that, the described step identifying described input equipment and described finger from described image specifically comprises:
Described input equipment is provided with the second component with given shape, from described image, extract shape and preset shape matching degree exceedes the region of predetermined threshold as described second component, and from described image, identify described input equipment based on the position of described second component.
7. gesture identification method according to any one of claim 1 to 6, is characterized in that,
Described input equipment comprises keyboard, touch-screen and/or touch pad.
8. a gesture recognition system, for carrying out gesture identification to the finger of user, described finger also carries out input operation on the input, it is characterized in that, described gesture recognition system comprises:
Locating module, for locating the position of input equipment and finger;
First space obtains module, for the position according to described input equipment, gets the first space outside described input equipment;
First judge module, for the position according to described finger, judges whether described finger is arranged in described first space;
First processing module, as described in finger be arranged in as described in the first space, gather the gesture of described finger and identify.
9. gesture recognition system according to claim 8, is characterized in that, also comprises:
Second space obtains module, for the position according to described equipment, outside described input equipment, gets second space, and described second space is adjacent with described first space, and described second space is between described first space and described input equipment;
Second judge module, for the position according to described finger, judges whether described finger is arranged in described second space;
Second processing module, as described in finger be arranged in as described in second space, gather the gesture of described finger and do not identify.
10. gesture recognition system according to claim 9, is characterized in that,
Described first top being spatially located at described input equipment, described second space is positioned at the below in described first space.
11. gesture recognition systems according to claim 8, is characterized in that, also comprise:
Image capture module, for gathering image, described image comprises described input equipment and described finger;
Picture recognition module, for identifying described input equipment and described finger from described image, described locating module determines the position of described input equipment and described finger according to recognition result;
Described first processing module is extracted the gesture of described finger and is identified from described image.
12. gesture recognition systems according to claim 11, is characterized in that,
Described input equipment is provided with luminous first component, described picture recognition module is extracted brightness and is exceeded the region of predetermined threshold value as described first component from described image, and from described image, identifies described input equipment according to the position of described first component.
13. gesture recognition systems according to claim 11, is characterized in that,
Described input equipment is provided with the second component with given shape, described picture recognition module from described image, extract shape and preset shape matching degree exceedes the region of predetermined threshold as described second component, and from described image, identifies described input equipment based on the position of described second component.
Gesture recognition system according to any one of 14. according to Claim 8 to 13, is characterized in that,
Described input equipment comprises keyboard, touch-screen and/or touch pad.
15. 1 kinds of computing machines, is characterized in that, comprising:
Gesture recognition system according to any one of according to Claim 8 to 14.
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| KR20060027167A (en) * | 2004-09-22 | 2006-03-27 | 주식회사 팬택 | User interface method using 3dimension displaying picture and display device using that method |
| CN101038523A (en) * | 2007-04-26 | 2007-09-19 | 上海交通大学 | Mouse system based on visual tracking and voice recognition |
| CN102741781A (en) * | 2009-12-04 | 2012-10-17 | 奈克斯特控股公司 | Sensor methods and systems for position detection |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20060027167A (en) * | 2004-09-22 | 2006-03-27 | 주식회사 팬택 | User interface method using 3dimension displaying picture and display device using that method |
| CN101038523A (en) * | 2007-04-26 | 2007-09-19 | 上海交通大学 | Mouse system based on visual tracking and voice recognition |
| CN102741781A (en) * | 2009-12-04 | 2012-10-17 | 奈克斯特控股公司 | Sensor methods and systems for position detection |
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