CN102096467A - Light-reflecting type mobile sign language recognition system and finger-bending measurement method - Google Patents
Light-reflecting type mobile sign language recognition system and finger-bending measurement method Download PDFInfo
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- CN102096467A CN102096467A CN2010106084977A CN201010608497A CN102096467A CN 102096467 A CN102096467 A CN 102096467A CN 2010106084977 A CN2010106084977 A CN 2010106084977A CN 201010608497 A CN201010608497 A CN 201010608497A CN 102096467 A CN102096467 A CN 102096467A
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Abstract
The invention discloses a light-reflecting type mobile sign language recognition system and a finger-bending measurement method. The system is characterized by comprising a finger-bending data glove (1), an advanced RISC machine 7 (ARM7) microprocessor (2) and a speech synthesis output module (3), wherein a power input end of a photoelectric sensor (1-2) of the finger-bending data glove (1) is connected with a power supply end of the ARM7 microprocessor (2) by a power supply lead (1-3), and an output end of the photoelectric sensor (1-2) of the finger-bending data glove (1) is connected with a signal input end of the ARM7 microprocessor (2) by a measurement lead (1-4); the speech synthesis output module (3) consists of a speech synthesis chip (3-1), a power amplifier (3-2) and a loudspeaker (3-3); and an input end of the speech synthesis chip (3-1) is connected with an output end of the ARM7 microprocessor (2), and an output end of the speech synthesis chip is connected with the loudspeaker (3-3) by the power amplifier (3-2). The light-reflecting type mobile sign language recognition system is simple in structure, low in cost, convenient to carry about and beneficial to improving the living, study and work conditions of deaf-mute disabled persons.
Description
Technical field
The present invention relates to a kind of sign Language Recognition and its implementation, reflective mobile sign Language Recognition of especially a kind of light and finger flexural measurement method.Belong to science and technology field.
Background technology
Sign language is a kind of body kinematics language of expressing the meaning by the motion of hand, mainly is used in the interchange between the deaf-mute.According to statistics, it is about 2,400 ten thousand that the deaf-mute of hearing and speech obstacle suffers from present in China, between them and they with the normal person between exchange mainly and undertaken by Chinese sign language.As far back as later stage the 1950's, the Chinese government promotes the interchange between them for being concerned about the deaf-mute, has just begun the modular working of Chinese deaf-mute's sign language.
The purpose of Sign Language Recognition is translated into natural language text automatically with deaf-mute's sign language exactly, and is shown by the computing machine good interface.Sign Language Recognition not only helps the deaf-mute to use various information, can also help them to participate in every social activities.Domestic and international research personnel carry out the research of Sign Language Recognition always energetically, and develop multiple sign Language Recognition.Follow the tracks of the motion of hand by picture pick-up device, can discern the implication of gesture motion through Flame Image Process and specific identification algorithm.Though this method only needs computing machine and picture pick-up device, Flame Image Process and recognizer are very complicated, are difficult to effectively discern similar gesture, also are difficult to realize low cost and portable formula system.
Also can discern movement locus and the time sequence information of gesture by data glove and position tracker in the space, data glove on the foreign market comprises: 5DT Data Glove, CyberGlove, VPL Glove etc., the domestic CAS-GLOVE data glove that Chinese Academy of Sciences's development is arranged etc.These data glove though high precision and high reliability can be provided, can be measured the degree of freedom of hand preferably, and the operation nature obtains easily as sign language features such as finger-joint angle and positional informations.But existence costs an arm and a leg, complex structure, is difficult to promote the use of in ordinary consumer.How portable sign language identification product of a kind of low cost and using method thereof are provided is the target of this area research.
Summary of the invention
First purpose of the present invention, be cost an arm and a leg for the data glove that solves prior art exists, baroque problem, provide that cost is low, high-performance, hommization, imitate the reflective mobile sign Language Recognition of light that improves the identification quality.
Second purpose of the present invention is for the finger flexural measurement method of the reflective mobile sign Language Recognition of light is provided.
First purpose of the present invention can reach by the following technical programs:
The reflective mobile sign Language Recognition of light, its design feature is: the ARM7 microprocessor and the phonetic synthesis output module that comprise the crooked data glove of finger, band A/D; Pointing crooked data glove is made up of finger ring, photoelectric sensor, electric power conductor and measurement lead; Photoelectric sensor is fixed on the finger ring, and the power input of photoelectric sensor is connected by the power end of electric power conductor with the ARM7 microprocessor, and the output terminal of photoelectric sensor is connected with the signal input part of ARM7 microprocessor by measuring lead; The phonetic synthesis output module is made up of chipspeech, power amplifier and loudspeaker, and the input end of chipspeech is connected with the output terminal of ARM7 microprocessor, and the output terminal of chipspeech is connected with the input end of loudspeaker by power amplifier.
First purpose of the present invention can also reach by the following technical programs:
A kind of embodiment that realizes first purpose of the present invention is: described photoelectric sensor is provided with the sensing circuit of two cover same structures, the bending that is used to measure two joints of finger.
A kind of embodiment that realizes first purpose of the present invention is: the emission output terminal of described sensing circuit is made of power supply, LED light emitting diode and current-limiting resistance, receives input end and is made of PD photoelectric tube and pull down resistor.
A kind of embodiment that realizes first purpose of the present invention is: the ARM7 microprocessor of described band A/D can be provided with the 3.3V power supply; Support OLED display screen and two buttons that are used to set mode of operation of 3.3V voltage power supply.
Second purpose of the present invention can reach by the following technical programs:
The finger flexural measurement method of the reflective mobile sign Language Recognition of light, step is as follows:
1) finger ring on the data glove is enclosed within respectively on second joint that thumb, forefinger, middle finger, the third finger and tail refer to;
2) be fixed on the degree of crook that photoelectric sensor on the finger ring begins to measure finger, the light that the LED light emitting diode sends is received by the PD photoelectric tube after handling digital reflex, the difference of finger degree of crook, the light intensity that the PD photoelectric tube receives also changes thereupon, when finger stretches fully, the reflective light intensity that the PD photoelectric tube receives is the most weak, not conducting of receiving tube, and output voltage is 0; When finger was crooked fully, the reflective light intensity that the PD photoelectric tube receives was the strongest, the output voltage maximum;
3) photoelectric sensor is according to 2) result of measured finger bending delivers to the ARM7 microprocessor by output signal M1, M2 and carries out analog to digital conversion in the step;
4) the ARM7 microprocessor sends to chipspeech with the character data of recognition result by serial ports, promotes via power amplifier again, exports at loudspeaker.
Second purpose of the present invention can also reach by the following technical programs:
A kind of embodiment that realizes second purpose of the present invention is: the 2nd) in the step, to the photoelectric sensor employing timesharing gating of five fingers.
The present invention's outstanding beneficial effect specific as follows:
1, the reflective mobile sign Language Recognition of light of the present invention uses the LED light emitting diode to make light source, transmission medium by similar optical fiber one class carries out light transmission, the intensity of placing PD photoelectric tube measuring-signal at the other end of medium detects the finger bending, obtains the information of finger-joint angle and position easily.
2, the reflective mobile sign Language Recognition of light of the present invention is simple in structure, with low cost, is convenient to carry, and can give the bridge that a kind of interchange is provided between aphasis person and the normal person, helps to improve deaf disability people's life study and work condition.
3, the present invention is owing to adopt the reflective mobile sign Language Recognition of light of discrete parts composition, and it is simple that it measures the crooked method of finger, has beneficial effect easy to use, applied widely.
Description of drawings
Fig. 1 is the structured flowchart of the reflective mobile sign Language Recognition of light of the present invention;
Fig. 2 is a data glove structural representation of the present invention;
Fig. 3 is the circuit diagram of photoelectric sensor of the present invention;
Fig. 4 is the circuit diagram of ARM7 microprocessor system of the present invention;
Fig. 5 is the circuit diagram of phonetic synthesis output module of the present invention;
Fig. 6 is the hand-type characteristic pattern of alphabetical template.
Wherein, 1-data glove, 2-ARM7 microprocessor, 3-phonetic synthesis output module.
Embodiment
Specific embodiment 1:
Fig. 1, Fig. 2, Fig. 3, Fig. 4 and Fig. 5 constitute specific embodiments of the invention 1.
With reference to Fig. 1, Fig. 2, Fig. 3, Fig. 4 and Fig. 5, present embodiment comprises ARM7 microprocessor 2 and the phonetic synthesis output module 3 of the crooked data glove 1 of finger, band A/D; Pointing crooked data glove 1 is made up of finger ring 1-1, photoelectric sensor 1-2, electric power conductor 1-3 and measurement lead 1-4; Photoelectric sensor 1-2 is fixed on the finger ring 1-1, the power input of photoelectric sensor 1-2 is connected with the power end of ARM7 microprocessor 2 by electric power conductor 1-3, and the output terminal of photoelectric sensor 1-2 is connected with the signal input part of ARM7 microprocessor 2 by measuring lead 1-4; Phonetic synthesis output module 3 is made up of chipspeech 3-1, power amplifier 3-2 and loudspeaker 3-3, the input end of chipspeech 3-1 is connected with the output terminal of ARM7 microprocessor 2, and the output terminal of chipspeech 3-1 is connected with the input end of loudspeaker 3-3 by power amplifier 3-2.
In the present embodiment, described photoelectric sensor 1-2 adopts the SPI-315 reflection infrared sensor, be provided with the sensing circuit of two cover same structures, be used to measure the bending in two joints of finger, the emission output terminal of described sensing circuit is made of power supply, LED light emitting diode and current-limiting resistance, receives input end and is made of PD photoelectric tube and pull down resistor; Described ARM7 microprocessor 2 systems are made of the STM32F103 processor minimum system of 12 ADC of band multichannel, adopt the 3.3V power supply, support OLED display screen and two buttons that are used to set mode of operation of 3.3V voltage power supply; Described chipspeech 3-1 adopts the XFS3031CN chip.
The finger flexural measurement method of present embodiment is as follows:
1) the finger ring 1-1 on the data glove 1 is enclosed within respectively on second joint that thumb, forefinger, middle finger, the third finger and tail refer to;
2) be fixed on the degree of crook that photoelectric sensor 1-2 on the finger ring 1-1 begins to measure finger, the light that the LED light emitting diode sends is received by the PD photoelectric tube after handling digital reflex, the difference of finger degree of crook, the light intensity that the PD photoelectric tube receives also changes thereupon, when finger stretches fully, the reflective light intensity that the PD photoelectric tube receives is the most weak, not conducting of receiving tube, and output voltage is 0; When finger was crooked fully, the reflective light intensity that the PD photoelectric tube receives was the strongest, the output voltage maximum;
3) photoelectric sensor 1-2 is according to 2) result of measured finger bending delivers to by output signal M1, M2 and carries out analog to digital conversion in the ARM7 microprocessor 2 in the step;
4) ARM7 microprocessor 2 sends to chipspeech 3-1 with the character data of recognition result by serial ports, promotes via power amplifier 3-2 again, exports at loudspeaker 3-3.
Wherein, the above-mentioned the 2nd) in the step, the photoelectric sensor 1-2 of five fingers is taked the timesharing gating.
Data processing of the present invention and recognizer:
1, alphabetical template base is set up
The A/D converter that the reflective mobile sign Language Recognition of light carries with microprocessor is exported sensor and is gathered, and accuracy of detection can reach 12.In order to eliminate the infrared interference of background, the data that obtain after the measurement of gating finger are deducted the data that bias light is pretended the time spent, obtain the voltage output that reflects that finger is crooked.Human often with non-accurate or fuzzy mode process information, for example, " forefinger is little by little crooked ".To the crooked information of finger that receives, we with the degree of crook branch help straight, little curved, in curved and curved four kinds, can come to determine the differentiation threshold value by experiment.In order to distinguish identical hand-type, system adopts 3-axis acceleration sensor ADXL345 to constitute to judge the whether circuit of level of hand, in order to the differentiation problem of identical hand-types such as solution " L/R ", " G/I ", " F/H ".The hand-type feature of alphabet letters gesture is with reference to Fig. 6, and according to the alphabetical template base that these features are set up, coupling is used during for identification.
2, recognizer
When microprocessor system when sensing device receives data, system at first by data validation hand before relatively whether in rest position.When etc. in one's handsly just begin the identification process after stopping to move.During coupling, divide five layers of classification successively to compare measurement data with template.But purely the degree of crook branch is helped straight, little curved, in curved and bend to mate easily some letters are difficult to effective differentiation, we introduce the notion of accumulation tortuosity factor during identification, except segment identifier exceptionally, also the alphabetical associate cumulation tortuosity factor of obscuring is easily distinguished.Problem for the alphabetical identical hand-type of difference.As L/R, V/F/H, G/I etc., differentiate by the direction of judging hand again.The layering recognizer is as shown in table 2.
Table 2 layering recognizer
3, the tone gesture is pointed multiplexing individual character with letter and is combined method into syllables
The Chinese phonetic alphabet is made of initial consonant, simple or compound vowel of a Chinese syllable and tone.Can not appear at the reality of Chinese phonetic alphabet ending according to initial consonant, we are multiplexed with D, G, F, W and five initial consonant gestures of B softly, high and level tone, rising tone, go up sound and five kinds of tone gestures of falling tone.Can under the situation that does not increase the gesture template, realize the finger spelling Chinese character input of the tonal Chinese phonetic alphabet like this.
4, test and result
4.1, letter identification
Identification software adopts the C language to realize, the discrimination Test Application of single letter 50 samples altogether.Test condition: indoor, the power supply of 3.6V lithium rechargeable batteries, 5 of test person, everyone makes a call to gesture 10 each letter.Test data with the results are shown in Table 3.
The test of table 3 finger spelling letter
4.2, add the individual character identification of compound tone gesture
The user carries out the Chinese character input according to spelling input method, and tone adopts compound finger spelling Alphabet Gesture, serves as the end mark of individual character simultaneously.During test, the user beats the single letter gesture earlier, judge errorless after, follow next Alphabet Gesture.Because multiplexing gesture has adopted multiplexing initial consonant gesture, can not cause conflict.Test shows can realize preferably that individual character combines into syllables, but because the tester is familiar with inadequately sign language, the fluency of output is still waiting to improve.
The reflective mobile sign Language Recognition of light of the present invention makes the user to spell words with pinyin input mode according to the gesture in the Chinese finger spelling alphabet, microprocessor system is responsible for gathering the crooked information of finger of the crooked acquisition module output of finger, and according to recognizer analysis sign language content, at last with the synthetic output module output of analysis result sending voice, simple in structure, with low cost, be convenient to carry, can give the bridge that a kind of interchange is provided between aphasis person and the normal person, help to improve deaf disability people's life study and work condition.
Claims (6)
1. the reflective mobile sign Language Recognition of light is characterized in that: the ARM7 microprocessor (2) and the phonetic synthesis output module (3) that comprise finger crooked data glove (1), band A/D; Pointing crooked data glove (1) is made up of finger ring (1-1), photoelectric sensor (1-2), electric power conductor (1-3) and measurement lead (1-4); Photoelectric sensor (1-2) is fixed on the finger ring (1-1), the power input of photoelectric sensor (1-2) is connected with the power end of ARM7 microprocessor (2) by electric power conductor (1-3), and the output terminal of photoelectric sensor (1-2) is connected with the signal input part of ARM7 microprocessor (2) by measuring lead (1-4); Phonetic synthesis output module (3) is made up of chipspeech (3-1), power amplifier (3-2) and loudspeaker (3-3), the input end of chipspeech (3-1) is connected with the output terminal of ARM7 microprocessor (2), and the output terminal of chipspeech (3-1) is connected with the input end of loudspeaker (3-3) by power amplifier (3-2).
2. the reflective mobile sign Language Recognition of light according to claim 1 is characterized in that: described photoelectric sensor (1-2) is provided with the sensing circuit of two cover same structures, the bending that is used to measure two joints of finger.
3. the reflective mobile sign Language Recognition of light according to claim 2 is characterized in that: the emission output terminal of described sensing circuit is made of power supply, LED light emitting diode and current-limiting resistance, receives input end and is made of PD photoelectric tube and pull down resistor.
4. the reflective mobile sign Language Recognition of light according to claim 1 and 2 is characterized in that: the ARM7 microprocessor (2) of described band A/D is provided with the 3.3V power supply.
5. the finger flexural measurement method of the reflective mobile Sign Language Recognition of light is characterized in that step is as follows:
1) finger ring (1-1) on the data glove (1) is enclosed within respectively on second joint that thumb, forefinger, middle finger, the third finger and tail refer to;
2) be fixed on the degree of crook that photoelectric sensor (1-2) on the finger ring (1-1) begins to measure finger, the light that the LED light emitting diode sends is received by the PD photoelectric tube after handling digital reflex, the difference of finger degree of crook, the light intensity that the PD photoelectric tube receives also changes thereupon, when finger stretches fully, the reflective light intensity that the PD photoelectric tube receives is the most weak, not conducting of receiving tube, and output voltage is 0; When finger was crooked fully, the reflective light intensity that the PD photoelectric tube receives was the strongest, the output voltage maximum;
3) photoelectric sensor (1-2) is according to 2) result of measured finger bending delivers in the ARM7 microprocessor (2) by output signal M1, M2 and carries out analog to digital conversion in the step;
4) ARM7 microprocessor (2) sends to chipspeech (3-1) with the character data of recognition result by serial ports, promotes via power amplifier (3-2) again, exports at loudspeaker (3-3).
6. the finger flexural measurement method of the reflective mobile Sign Language Recognition of light according to claim 5 is characterized in that: the 2nd) in the step, to photoelectric sensor (1-2) the employing timesharing gating of five fingers.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102982621A (en) * | 2012-11-09 | 2013-03-20 | 深圳市中航软件技术有限公司 | Counter information exchange control box |
| CN103049761A (en) * | 2013-01-21 | 2013-04-17 | 中国地质大学（武汉） | Sign language recognition method and system based on sign language gloves |
| CN103295570A (en) * | 2013-06-05 | 2013-09-11 | 华东师范大学 | Glove type sound production system |
| CN103376908A (en) * | 2012-04-19 | 2013-10-30 | 李大春 | Method for inputting Chinese characters by aid of glove input equipment |
| CN107373826A (en) * | 2017-08-17 | 2017-11-24 | 国网四川省电力公司技能培训中心 | One kind is used for virtual reality emulation analogue data gloves |
| CN108874155A (en) * | 2018-08-29 | 2018-11-23 | 韩思清 | The gloves apparatus of sounding is made in a kind of perception manually |
| CN109032333A (en) * | 2018-06-24 | 2018-12-18 | 佛山凯舒易智能科技有限公司 | A kind of sign Language Recognition and method based on optical fiber perception |
| CN110322760A (en) * | 2019-07-08 | 2019-10-11 | 北京达佳互联信息技术有限公司 | Voice data generation method, device, terminal and storage medium |
| CN112370310A (en) * | 2019-12-11 | 2021-02-19 | 上海司羿智能科技有限公司 | Hand motion control system and control method thereof |
| CN114879841A (en) * | 2022-05-09 | 2022-08-09 | 南昌航空大学 | Gesture recognition system and measurement method based on D-type plastic optical fiber |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050178213A1 (en) * | 2004-02-13 | 2005-08-18 | Jason Skowronski | Device for determining finger rotation using a displacement sensor |
| CN1760808A (en) * | 2005-11-10 | 2006-04-19 | 高丹 | Device for capturning and inputting optical gesture |
| CN101430603A (en) * | 2008-11-26 | 2009-05-13 | 东北大学 | Portable and practical gesture language recognition and sounding apparatus |
| CN201936249U (en) * | 2010-12-28 | 2011-08-17 | 赵剑桥 | Light reflection type mobile sign language identification system |
-
2010
- 2010-12-28 CN CN 201010608497 patent/CN102096467B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050178213A1 (en) * | 2004-02-13 | 2005-08-18 | Jason Skowronski | Device for determining finger rotation using a displacement sensor |
| CN1760808A (en) * | 2005-11-10 | 2006-04-19 | 高丹 | Device for capturning and inputting optical gesture |
| CN101430603A (en) * | 2008-11-26 | 2009-05-13 | 东北大学 | Portable and practical gesture language recognition and sounding apparatus |
| CN201936249U (en) * | 2010-12-28 | 2011-08-17 | 赵剑桥 | Light reflection type mobile sign language identification system |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103376908A (en) * | 2012-04-19 | 2013-10-30 | 李大春 | Method for inputting Chinese characters by aid of glove input equipment |
| CN102982621A (en) * | 2012-11-09 | 2013-03-20 | 深圳市中航软件技术有限公司 | Counter information exchange control box |
| CN103049761A (en) * | 2013-01-21 | 2013-04-17 | 中国地质大学（武汉） | Sign language recognition method and system based on sign language gloves |
| CN103049761B (en) * | 2013-01-21 | 2016-08-03 | 中国地质大学（武汉） | Sign Language Recognition Method based on sign language glove and system |
| CN103295570A (en) * | 2013-06-05 | 2013-09-11 | 华东师范大学 | Glove type sound production system |
| CN107373826A (en) * | 2017-08-17 | 2017-11-24 | 国网四川省电力公司技能培训中心 | One kind is used for virtual reality emulation analogue data gloves |
| CN109032333A (en) * | 2018-06-24 | 2018-12-18 | 佛山凯舒易智能科技有限公司 | A kind of sign Language Recognition and method based on optical fiber perception |
| CN108874155A (en) * | 2018-08-29 | 2018-11-23 | 韩思清 | The gloves apparatus of sounding is made in a kind of perception manually |
| CN110322760A (en) * | 2019-07-08 | 2019-10-11 | 北京达佳互联信息技术有限公司 | Voice data generation method, device, terminal and storage medium |
| CN110322760B (en) * | 2019-07-08 | 2020-11-03 | 北京达佳互联信息技术有限公司 | Voice data generation method, device, terminal and storage medium |
| CN112370310A (en) * | 2019-12-11 | 2021-02-19 | 上海司羿智能科技有限公司 | Hand motion control system and control method thereof |
| CN112370310B (en) * | 2019-12-11 | 2024-03-29 | 上海司羿智能科技有限公司 | Hand movement control system and control method thereof |
| CN114879841A (en) * | 2022-05-09 | 2022-08-09 | 南昌航空大学 | Gesture recognition system and measurement method based on D-type plastic optical fiber |
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