CN101750093B - Self-learning method and portable vehicle-mounted navigation unit using the same - Google Patents
Self-learning method and portable vehicle-mounted navigation unit using the same Download PDFInfo
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- CN101750093B CN101750093B CN2008102194595A CN200810219459A CN101750093B CN 101750093 B CN101750093 B CN 101750093B CN 2008102194595 A CN2008102194595 A CN 2008102194595A CN 200810219459 A CN200810219459 A CN 200810219459A CN 101750093 B CN101750093 B CN 101750093B
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Abstract
The invention discloses a self-learning method and a portable vehicle-mounted navigation unit using the same. The method comprises the steps of: choosing at least one keyword from a plurality of keywords in a database, updating a priority fraction of the keyword and generating a weighting coefficient according to a given weighted fraction, sending the weighted fraction and the weighting coefficient to a keyword which is relative to the keyword so as to update the priority fraction, rearranging all the keywords, pushing the chosen keyword to a keyword buffer, straightening the connection intension between the keywords stored in the keyword buffer, and updating the priority fraction of the plurality of keywords according to the updated connection intension. If the time of the chosen keyword existing in the keyword buffer reaches to a preset resetting time, resetting operation is performed so as to abandon the keyword in the keyword buffer.
Description
[technical field]
The present invention is relevant for a kind of learning method and the portable automobile guider that uses this method, and is particularly to a kind of portable automobile guider of self-teaching method and this method of use of human-computer interaction of keyword guiding.
[background technology]
Along with favorable factors such as decline of spare part prices such as GPS chip, module and volume-diminishedization drive; Running gear combining global positioning system (Global Positioning System; Abbreviating GPS as) the function trend of carrying out various position application becomes clear day by day; Make the application of GPS no longer be confined to professional application markets such as military affairs, aviation, navigation; Comprise all visible its application trace in consumer markets such as mountain-climbing, individual location tracking, Vehicular navigation, and in each item GPS navigation product, use the navigation demand of agreeing with general user most with Vehicular navigation again.
According to the product Setup Type, vehicle navigation device can be divided into embedded and Portable two big classes.Portable automobile guider (Portable Navigation Device) can be subdivided into again again pure GPS navigation device and with build in the GPS function to running gear [for example; Personal digital assistant (Personal DigitalAssistant, PDA) or intelligent mobile phone (Smart Phone)] on big type of personal navigation apparatus (PersonalNavigation Device) two.
With the portable automobile guider is example, though its function compared to embedded professional navigation vehicle machine spring comparatively, its navigation locating function can satisfy big extremely some users' primary demand.Universalness along with the portable automobile guider; Simple navigation feature can not satisfy some consumer demands; Therefore; Except rich (dynamic navigation, weather forecast, guide book, Voice Navigation, also new in line chart money) that continue to strengthen navigation software and figure money, the consumer application function makes the portable automobile guider have also high surcharge to its product more than also will integrating.
There is the portable automobile guider of part that speech recognition (Speech Recognition) function is provided at present; In order to substitute artificial input, making only needs information or automatic network so that phonetic entry can make the portable automobile guider build in providing to obtain required information to the user.
Yet the voice identification function of existing portable automobile guider is mainly used in and substitutes artificial input, and does not have other also representative application.In addition, the purposes of portable automobile guider still focuses on provides information to the user, and lack and the user between interaction.
[summary of the invention]
The object of the invention is to provide the portable automobile guider of a kind of self-teaching method with this method of use; Let the user in input keyword to portable automobile guider with solution, make the portable automobile guider calculate keyword right of priority and initiatively or the problem of the passive person of making of providing information needed.
Based on above-mentioned purpose, the embodiment of the invention has disclosed a kind of self-teaching method.In a database of a portable automobile guider, build in advance and put at least one keyword set, this keyword set comprises several keywords.Carry out an initialization operation with these several keywords of initialization, and also these several keywords are presented on the screen of this portable automobile guider according to these several keywords of initialization result ordering.Select at least one keyword, give this keyword one weighted score, and via the priority score of also new this keyword of an account form.Produce a weighting coefficient according to this keyword, and send this weighted score and this weighting coefficient the keyword of relevant property to this keyword.According to this weighted score and this weighting coefficient priority score of the keyword of new relevant property also with this keyword, and all keywords of resequencing.According to ranking results these several keywords are presented on this screen, and this keyword pushed away broadcast one of this portable automobile guider keyword impact damper.Check this keyword and other keyword resting period in this keyword impact damper.Strengthen being present in the link strength between all keywords in this keyword impact damper by an account form, and according to the priority score of new these several keywords also of the link strength after each keyword also new.The time that is stored in this keyword impact damper when this keyword arrives its preset replacement during the time, and a replacement operation abandons with this keyword that will leave in this keyword impact damper.
The embodiment of the invention has also disclosed a kind of portable automobile guider, comprises a database, a voice identification apparatus, a keyword impact damper, a screen and a microprocessor.This database comprises an at least one keyword set and the keyword form with several keywords, and wherein this keyword form stores the priority score and the link strength of these several keywords.This voice identification apparatus is in order to obtain the voice signal of at least one keyword.This keyword impact damper is in order to store the keyword of selection.This screen is in order to these several keywords that show ordering and the touching signals of obtaining at least one keyword.This microprocessor is carried out an initialization operation with these several keywords of initialization; Also these several keywords are presented on this screen according to these several keywords of initialization result ordering; Select at least one keyword according to this voice signal or this touching signals; Give this keyword one weighted score, and, produce a weighting coefficient according to this keyword according to the priority score of this keyword in also new this keyword form of this weighted score; This weighted score and this weighting coefficient are sent to the keyword of relevant property with this keyword; According to this weighted score and this weighting coefficient priority score of the keyword of new relevant property also with this keyword, and all keywords of resequencing, according to ranking results these several keywords are presented on this screen; This keyword pushed away broadcast in this keyword impact damper; Check this keyword and other keyword resting period in this keyword impact damper, strengthen being present in the link strength between all keywords in this keyword impact damper, according to the priority score of new these several keywords also of the link strength after each keyword also new by an account form; And arrive its preset replacement during the time when the time that this keyword is stored in this keyword impact damper, carry out the operation of resetting and abandon with this keyword that will leave in this keyword impact damper.
Compared to prior art; The portable automobile guider of self-teaching method of the present invention and this method of use; Let the user in input keyword to portable automobile guider, make the portable automobile guider calculate keyword right of priority and initiatively or the passive person of making of providing information needed.
For the object of the invention, structural attitude and function thereof are had further understanding, conjunction with figs. specifies as follows now:
[description of drawings]
Fig. 1 illustrates the flow chart of steps of the self-teaching method of the embodiment of the invention.
Fig. 2 illustrates the synoptic diagram of the keyword set of the embodiment of the invention.
Fig. 3 illustrates the synoptic diagram of the keyword form of the embodiment of the invention.
Fig. 4 illustrates the synoptic diagram of going back the new keywords form of the embodiment of the invention.
Fig. 5 illustrates the synoptic diagram that pushing away of the embodiment of the invention broadcast keyword to keyword impact damper.
Fig. 6 illustrates the configuration diagram of the portable automobile guider of the embodiment of the invention.
[embodiment]
The embodiment of the invention has disclosed the portable automobile guider of a kind of self-teaching method and this method of use.
Fig. 1 is the flow chart of steps of the self-teaching method of the embodiment of the invention.
At first, in a database of portable automobile guider, build in advance and put at least one keyword set, it comprises several keywords K1～K7 at least, (step S101) as shown in Figure 2.Note that the keyword of building in initial possibly have no relevance or a little relevance of tool only to each other, have a link (Link) and have between the keyword of relevance, shown in the dotted line among Fig. 2.In addition, give each keyword one priority score (Priority Score), person's use represented more often not to be used in the keyword that wherein has the higher-priority mark.For example, full marks are 100 minutes, and K1 is initially set 90 fens, and K2 is initially set 85 fens, and K3 is initially set 83 fens, by that analogy, and priority score are stored in the keyword form (as shown in Figure 3).In addition, the embodiment of the invention is that example is said with 7 keywords, but this does not exceed on real the work.
All keywords in this database of initialization and according to initialization result sort key speech and be presented on the screen of this portable automobile guider (step S102).When carrying out initialization operation, sort and Set Font size and color and the displayable keyword number of this screen (for example, 10) according to the priority score of each keyword and with the relevance of other keyword.For instance, priority score is the highest is made as redness and font is made as maximum, and priority score is time high is made as blueness and font and is made as time greatly, by that analogy, which is so the user can very clearly find out keyword commonly used.In addition, the several keywords of certain that on this screen, shows then can show with the color of colour system if having relevance.For instance, if wherein a keyword be " destination " and shown in green, then another keyword is " family " and be shown as grass green.In addition, this portable automobile guider can show N (for example, 50) keyword at most and show with paging mode, if desire to switch to next page, can voice " skips " or " following one page " switches, and perhaps switches with touch control manner.
The user selects at least one keyword (one or more keyword) (step S103) with phonetic entry mode or other user's interface input mode (for example, clicking Touch Screen).For instance; The user says keyword " company " or directly on this screen, clicks or hand-written keyword " company "; Incident as if the most often being triggered relevant for keyword " company " is " shortest path ", and then this portable automobile guider can show the shortest path of starting point to intercompany automatically on this screen.In addition, this portable automobile guider also can be according to the triggering of the environment event of automatic generation and is selected at least one keyword automatically.For instance, if regular the going home 6 time at night or go to certain dining room to have a meal of user, then when at 6 in time to evening, this portable automobile guider can be automatically on this screen demonstration go home or to the path in dining room.Again, a temperature sensor (not shown) capable of using is responded to extraneous temperature, is the several years to remind the present temperature of user, perhaps obtains relevant time-event by a timer (not shown).
Note that environment event can be the staggered parameter that forms generation of time (cycle), weather, place, speed, navigation mode (pedestrian or automobile) or above-mentioned incident.
When selecting at least one keyword, this portable automobile guider gives this keyword one weighted score, and via the account form priority score (step S104) of new this keyword also.For instance, after selecting keyword K1, this portable automobile guider calculates according to priority score originally and given weighted score, to produce the new priority score of keyword K1.As shown in Figure 4, after calculating, the priority score of keyword K1 is 95.Then, produce a weighting coefficient (Factor) according to this keyword of selecting, wherein 0.0 < Factor ≦ 1.0, and the keyword (step S105) of the relevant property of this keyword that this weighted score and this weighting coefficient are sent to and select.
The priority score of the keyword of and this keyword relevant property selected also new, and all keywords (step S106) of resequencing according to this weighted score and this weighting coefficient.When rearrangement, carry out as the initialization operation of step S102, promptly according to the priority score of each keyword and and the relevance of other keyword sort and Set Font size and color.According to new ranking results at all keywords of this screen display (step S107).This keyword of choosing pushed away broadcast (Push) in the keyword impact damper (Keyword Buffer) of this portable automobile guider (step S108).Check the resting period (step S109) of each keyword in this keyword impact damper.
Strengthen being present in the link strength (step S110) between the keyword in this keyword impact damper by an account form, and according to the priority score (step S111) of new these several keywords also of the link strength after each keyword also new.Link strength between keyword (for example, 1～10) is related to the size of above-mentioned weighting coefficient.For instance; As shown in Figure 4; After selecting keyword K1; Then select keyword K2, K4, then basis and different link strength (8,9) between keyword K1 produce the weighting coefficients of different sizes respectively, and then according to separately the weighting coefficient priority score of new keywords K2, K4 also.In addition, also can go back link strength (9,9.5) between new keywords K1 and keyword K2, K4.The time that is stored in this keyword impact damper as keyword K1 arrives its preset replacement during the time, then carries out a replacement operation and abandons (step S112) with the keyword K1 that will leave in this keyword impact damper, and then this flow process is got back to step S103.
Fig. 6 shows the configuration diagram of the portable automobile guider of the embodiment of the invention.
The portable automobile guider 300 of the embodiment of the invention comprises a voice identification apparatus 310, a microprocessor 320, a database 330, a keyword impact damper 360 and a screen 370.Database 330 comprises several keywords 340 and a keyword form 350 again.Screen 360 is a touch control screen.
Several keywords 340 are a keyword set, and it comprises several keywords K1～K7 at least, and is as shown in Figure 2.Keyword form 350 is as shown in Figure 3, and it comprises a keyword field, a priority score field and a link strength field.The keyword of building in initial possibly have no relevance or a little relevance of tool only to each other, has a link (Link) and have between the keyword of relevance, shown in the dotted line among Fig. 2.In addition, each keyword has a priority score, and person's use represented more often not to be used in the keyword that wherein has the higher-priority mark.
When portable automobile guider 300 is brought into use, all keywords in the microprocessor 320 initialization data storehouses 330 and according to initialization result sort key speech and be presented on the screen 360.When carrying out initialization operation, microprocessor 320 sorts and Set Font size and color and the displayable keyword number of this screen (for example, 10) according to the priority score of each keyword and with the relevance of other keyword.In addition, this can show screen 360 N (for example, 50) keyword at most and show with paging mode, if desire to switch to next page, can voice " skips " or " following one page " switches, and perhaps switches with touch control manner.
Voice identification apparatus 310 according to the user import 380 receive at least one keyword (one or more keyword) voice signal or screen 360 receive touching signals and obtain at least one keyword (one or more keyword) according to import 380 according to the user.Portable automobile guider 300 a temperature sensor (not shown) also capable of using is responded to extraneous temperature, is the several years to remind the present temperature of user, perhaps obtains relevant time-event by a timer (not shown).
When obtaining at least one keyword, microprocessor 320 gives this keyword one priority score, and via the account form weighted score (step S104) of this keyword in the new keywords form 350 also.For instance, after selecting keyword K1, microprocessor 320 calculates according to priority score originally and given weighted score, to produce the new priority score of keyword K1.As shown in Figure 4, after calculating, the priority score of keyword K1 is 95.Then, microprocessor 320 produces a weighting coefficient (Factor) according to this keyword of selecting, and wherein 0.0 < Factor ≦ 1.0, and the keyword of the relevant property of this keyword that this weighted score and this weighting coefficient are sent to and select.
Microprocessor 320 according in the also new new keywords form 350 of this weighted score and this weighting coefficient with the priority score of the keyword of the relevant property of selecting of this keyword, and all keywords of resequencing.When rearrangement, carry out as the initialization operation of step S102, promptly according to the priority score of each keyword and and the relevance of other keyword sort and Set Font size and color.Microprocessor 320 shows all keywords according to new ranking results at screen 360, this keyword of choosing pushed away broadcasts in the keyword impact damper 360, and the resting period of the keyword in the inspection keyword impact damper 360.
Microprocessor 320 strengthens being present in the link strength between the keyword in the keyword impact damper 360 by an account form, and according to the link strength of the calculating gained priority score of these several keywords in the new keywords form 350 also.Link strength between keyword (for example, 1～10) is related to the size of above-mentioned weighting coefficient.For instance; As shown in Figure 4; After selecting keyword K1; Then select keyword K2, K4, then basis and different link strength (8,9) between keyword K1 produce the weighting coefficients of different sizes respectively, and then according to separately the weighting coefficient priority score of new keywords K2, K4 also.In addition, also can go back link strength (9,9.5) between new keywords K1 and keyword K2, K4.The time that is stored in keyword impact damper 360 as keyword K1 arrives its preset replacement during the time, and then microprocessor 320 is carried out a replacement operation, abandons with the keyword K1 that will leave in the keyword impact damper 360.
As indicated above; When having selected different keywords; The priority score of each selecteed keyword promptly can have increase in various degree with the weighting coefficient of corresponding generation according to the link strength of corresponding other associative key, and the link strength of selecteed adjacent keyword also can and then increase.That is to say that priority score is that positive correlation (but not necessarily being directly proportional) is and weighting coefficient in link strength, and also positive correlation of link strength (but not necessarily being directly proportional) is in priority score.
Note that each keyword all is endowed the replacement time, wherein the replacement time of each keyword can be equal length or different length, and perhaps the weight according to keyword has the replacement time of setting different length.Therefore, when wherein the replacement time of a keyword arrives, promptly a corresponding replacement carried out in this keyword and operate, S112 is said like step.
Note; The self-teaching method of the embodiment of the invention is an intelligence learning method; Promptly when having selected different keywords; The priority score of each selecteed keyword promptly can have increase in various degree with the weighting coefficient of corresponding generation according to the link strength of corresponding other associative key, and the link strength of selecteed adjacent keyword also can and then increase.Thus; Use the portable automobile guider of this method can basis and the user between interaction or the triggering of environment event; The information of automatically user often being browsed use is presented on the screen, to increase the user at the convenience that uses on the portable automobile guider.
The present invention also provides a kind of recording medium (for example discs, disk sheet and removable hard drive or the like), and it writes down the authority sign-off program of an embodied on computer readable, so that carry out the self-teaching method of the human-computer interaction of above-mentioned keyword guiding.At this; Be stored in the authority sign-off program on the recording medium; Basically (for example the setting up organization chart code segment, sign-off forms code segment, setting program code snippet and deployment program code snippet) formed by several code segment, and the function series of these code segment corresponds to the step of said method and the functional block diagram of said system.
Claims (26)
1. a self-teaching method is characterized in that, comprises the following steps:
In a database of a portable automobile guider, build in advance and put at least one keyword set, this keyword set comprises several keywords;
Carry out an initialization operation with these several keywords of initialization;
Also these several keywords are presented on one of this portable automobile guider screen according to these several keywords of initialization result ordering;
Select at least one keyword;
Give this keyword one weighted score, and via a priority score of also new this keyword of an account form;
Produce a weighting coefficient according to this keyword, and send this weighted score and this weighting coefficient the keyword of relevant property to this keyword;
According to this weighted score and this weighting coefficient priority score of the keyword of new relevant property also with this keyword, and all keywords of resequencing;
According to ranking results these several keywords are presented on this screen;
This keyword is pushed away a keyword impact damper of broadcasting this portable automobile guider;
Check this keyword and other keyword resting period in this keyword impact damper;
Strengthen being present in the link strength between all keywords in this keyword impact damper by an account form;
According to the priority score of new these several keywords also of the link strength after each keyword also new;
The time that is stored in this keyword impact damper when this keyword arrives its preset replacement during the time, carries out a replacement operation, abandons with this keyword that will leave in this keyword impact damper.
2. self-teaching method as claimed in claim 1 is characterized in that, has no relevance or has a little relevance between these several keywords, has a link and have between the keyword of relevance.
3. self-teaching method as claimed in claim 1 is characterized in that, the keyword that has the higher-priority mark representes that the frequency that is used is higher.
4. self-teaching method as claimed in claim 1 is characterized in that, the priority score of these several keywords is stored in the keyword form.
5. self-teaching method as claimed in claim 1 is characterized in that this initialization operation also comprises the following steps:
When carrying out this initialization operation, sort according to this priority score of each keyword and with the relevance of other keyword;
Set the font size and the color of each keyword.
6. self-teaching method as claimed in claim 5 is characterized in that, the keyword that will have relevance shows with the color with colour system.
7. self-teaching method as claimed in claim 1 is characterized in that priority score is positively correlated with link strength and weighting coefficient.
8. self-teaching method as claimed in claim 1 is characterized in that link strength is positively correlated with priority score.
9. self-teaching method as claimed in claim 1 is characterized in that, selects at least one keyword with phonetic entry mode or other user's interface input mode.
10. self-teaching method as claimed in claim 1 is characterized in that, according to the triggering of the environment event of automatic generation and select at least one keyword automatically.
11. self-teaching method as claimed in claim 10 is characterized in that, above-mentioned environment event is one of time, weather, place, speed or these incidents of navigation mode or its staggered parameter that forms generation of above-mentioned incident.
12. self-teaching method as claimed in claim 1 is characterized in that, utilizes a sensor to select at least one keyword.
13. self-teaching method as claimed in claim 1 is characterized in that, the operation of the priority score of also new these several keywords also comprises the link strength between also new these several keywords.
14. a portable automobile guider is characterized in that it comprises:
One database, it comprises an at least one keyword set and the keyword form with several keywords, wherein this keyword form stores the priority score and the link strength of these several keywords;
One voice identification apparatus, it is in order to obtain the voice signal of at least one keyword;
One keyword impact damper, it is in order to store the keyword of selecting;
One screen, it is in order to these several keywords that show ordering and the touching signals of obtaining at least one keyword;
One microprocessor; It carries out an initialization operation with these several keywords of initialization; Also these several keywords are presented on this screen according to these several keywords of initialization result ordering; Select at least one keyword according to this voice signal or this touching signals, give this keyword one weighted score, and according to the priority score of this keyword in also new this keyword form of this weighted score; Produce a weighting coefficient according to this keyword; Send this weighted score and this weighting coefficient the keyword of relevant property to this keyword, according to this weighted score and this weighting coefficient priority score of the keyword of new relevant property also with this keyword, and all keywords of resequencing; According to ranking results these several keywords are presented on this screen; This keyword pushed away broadcast in this keyword impact damper, check this keyword and other keyword resting period in this keyword impact damper, strengthen in this replacement time, still being present in the link strength between all keywords in this keyword impact damper by an account form; According to the priority score of new these several keywords also of the link strength after each keyword also new; And arrive its preset replacement during the time when the time that this keyword is stored in this keyword impact damper, and carry out the operation of resetting, abandon with this keyword that will leave in this keyword impact damper.
15. portable automobile guider as claimed in claim 14 is characterized in that, has no relevance or has a little relevance between these several keywords, has a link and have between the keyword of relevance.
16. portable automobile guider as claimed in claim 14 is characterized in that, the keyword that has the higher-priority mark representes that the frequency that is used is higher.
17. portable automobile guider as claimed in claim 14 is characterized in that, the priority score of these several keywords is stored in the keyword form.
18. portable automobile guider as claimed in claim 14; It is characterized in that; When carrying out this initialization operation, this microprocessor sorts according to the priority score of each keyword and with the relevance of other keyword, and sets the font size and the color of each keyword.
19. portable automobile guider as claimed in claim 18 is characterized in that, the keyword that will have relevance shows with the color with colour system.
20. portable automobile guider as claimed in claim 14 is characterized in that priority score is positively correlated with link strength and weighting coefficient.
21. portable automobile guider as claimed in claim 14 is characterized in that link strength is positively correlated with priority score.
22. portable automobile guider as claimed in claim 14 is characterized in that, selects at least one keyword with phonetic entry mode or other user's interface input mode.
23. portable automobile guider as claimed in claim 14 is characterized in that, this microprocessor is selected at least one keyword automatically according to the triggering of the environment event that produces automatically.
24. portable automobile guider as claimed in claim 23 is characterized in that, above-mentioned environment event is one of time, weather, place, speed or these incidents of navigation mode or its staggered parameter that forms generation of above-mentioned incident.
25. portable automobile guider as claimed in claim 14 is characterized in that, this microprocessor utilizes a sensor to select at least one keyword.
26. portable automobile guider as claimed in claim 14 is characterized in that, this microprocessor also comprises the link strength between also new these several keywords when the priority score of also new these several keywords.
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| CN101750093B true CN101750093B (en) | 2012-11-21 |
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| US20140304635A1 (en) * | 2013-04-03 | 2014-10-09 | Ford Global Technologies, Llc | System architecture for contextual hmi detectors |
| CN104408189B (en) * | 2014-12-15 | 2018-11-09 | 北京国双科技有限公司 | The methods of exhibiting and device of keyword ranking |
| CN110827836B (en) * | 2019-10-23 | 2022-05-03 | 珠海格力电器股份有限公司 | Method and device for resetting awakening words, electronic equipment and storage medium |
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| JP2003196284A (en) * | 2001-12-25 | 2003-07-11 | Mitsubishi Electric Corp | Navigation device for traveling object |
| CN1629934A (en) * | 2004-02-06 | 2005-06-22 | 刘新斌 | Building and using method of virtual speech keyboard for interactive control |
| CN101162146A (en) * | 2007-02-01 | 2008-04-16 | 厦门雅迅网络股份有限公司 | Method for searching interest points according to the first letter of phonation in networking vehicle mounted guidance apparatus |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003196284A (en) * | 2001-12-25 | 2003-07-11 | Mitsubishi Electric Corp | Navigation device for traveling object |
| CN1629934A (en) * | 2004-02-06 | 2005-06-22 | 刘新斌 | Building and using method of virtual speech keyboard for interactive control |
| CN101162146A (en) * | 2007-02-01 | 2008-04-16 | 厦门雅迅网络股份有限公司 | Method for searching interest points according to the first letter of phonation in networking vehicle mounted guidance apparatus |
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