CN103622707A - Traffic safety detecting system and method - Google Patents
Traffic safety detecting system and method Download PDFInfo
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- CN103622707A CN103622707A CN201210303402.XA CN201210303402A CN103622707A CN 103622707 A CN103622707 A CN 103622707A CN 201210303402 A CN201210303402 A CN 201210303402A CN 103622707 A CN103622707 A CN 103622707A
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Abstract
The invention discloses a traffic safety detecting system and method in the field of voice treatment. The system comprises a microphone used for collecting voice. The microphone transmits collected voice signals to a processor for detecting fatigue. The processor comprises a voice collecting module used for obtaining voice collected by the microphone. The voice collecting module transmits collected voice signals to a voice preprocessing module for lowpass filtration. Preprocessed voice signals enter a characteristic extraction module for MFCC parameter extraction. Reference templates are extracted from the extracted parameters and then are placed into a nerve system for training. Trained voice signals and preprocessed voice samples are input into the nerve network for testing, and then an experiment result is obtained. Consequently, fatigue driving is alarmed in advance, and accidents caused by fatigue driving are reduced. The detecting system and method are suitable for fatigue detection in various driving environments.
Description
Technical field
The present invention relates to the application of computer embedded system and speech processes field, particularly a kind of traffic safety detection system and method.
Background technology
Fatigue is a kind of natural phenomena, is a kind of self regulation and the defencive function of human body.Have data to show, in the vehicle accident that highway occurs, have over halfly because long-time fatigue driving or finding target dullness make driver attention, do not concentrate, even the reason such as doze causes.For reducing the accident of this respect, fatigue strength test is of great significance with regard to tool.The tired inducement of brain and heart disease that also often becomes, as detected in real time the condition of oneself by simple method, for prevent disease, reduces artificial accident and also has positive meaning.
The detection method of fatigue strength may be summarized to be objective and subjective two aspects.The domestic method of mainly taking subjective evaluation and test, the subjectss' that test and assess such as Main Basis self activity log, sleep quality log, individual behavior log degree of fatigue, although subjective evaluation method is used simple, but be difficult to quantize tired grade and degree, understanding because of each one has obvious difference again, and its result often can not be satisfactory.External mainly take the method for objective evaluation, there are the retina detection, head position detection, gaze tracking etc. of the detection based on behavior characteristics and the EEG signal detection of the detection based on physiological parameter, ECG signal detection, beat pulse detection, saliva detection, other bio-signal acquisition etc.Its weak point is: these methods be although can understand to a certain extent people's fatigue state, but is not also clear especially to the psychology of everyone fatigue, physiological attribute, and the Changing Pattern under fatigue state is difficult to sum up and concludes; Most detection algorithm is because of the restriction of its testing conditions and the impact of complex environment, and detecting effect can not be entirely satisfactory; Cost performance is a problem urgently to be resolved hurrily, if cost too greatly, is difficult to extensive use.
Summary of the invention
To the object of the invention is to the vehicle accident causing because of fatigue driving in order solving, a kind of traffic safety detection system and detection method to be provided, can detect in time driver's fatigue conditions, reduce accident rate.
For solving above technical problem, a kind of traffic safety detection system provided by the present invention and detection method, comprise for gathering the mike of sound, described mike gives the transmission of sound signals collecting for carrying out the processor of fatigue detecting, described processor comprises the sound collection module that collects sound for obtaining mike, described sound collection module flows to sound pre-processing module by the voice signal collecting and carries out low-pass filtering, pretreated voice signal enters characteristic extracting module and carries out MFCC parameter extraction, from the parameter of extracting, extract reference template again, putting into neutral net trains again, voice signal and pretreated speech samples input neural network after training are tested, draw experimental result.
When the present invention works, the collection of voice signal completes by software, the voice signal collecting carries out sound pretreatment again, carry out low-pass filtering, filtering, higher than the signal component of 1/2 sample rate, extracts reference template from pretreated signal, fatigue strength is 1-5 level from low to high, then put into neutral net and train, subsequently pretreated voice signal input neural network is tested, contrast reference template draws experimental result.The present invention is applicable to the fatigue detecting under various driving environments.
As improvement of the present invention, described voice collecting process completes by Cooledit software, and the voice of recording are preserved with wave form.
As a further improvement on the present invention, using vowel [a :] as experimental subject, each digital speech is respectively recorded 40 in the morning 4:00,10:00 and afternoon 4:00, tetra-periods of 10:00 respectively, and totally 160 digital speech are as the data source of experiment.
Accompanying drawing explanation
Fig. 1 is workflow diagram of the present invention.
The specific embodiment
As shown in Figure 1, a kind of traffic safety detection system and detection method, comprise for gathering the mike of sound, described mike gives the transmission of sound signals collecting for carrying out the processor of fatigue detecting, described processor comprises the sound collection module that collects sound for obtaining mike, described sound collection module flows to sound pre-processing module by the voice signal collecting and carries out low-pass filtering, pretreated voice signal enters characteristic extracting module and carries out MFCC parameter extraction, from the parameter of extracting, extract reference template again, putting into neutral net trains again, voice signal and pretreated speech samples input neural network after training are tested, draw experimental result.
In work, the collection of voice signal completes by Cooledit software, the voice signal collecting carries out sound pretreatment again, carry out low-pass filtering, filtering is higher than the signal component of 1/2 sample rate, using vowel [a :] as experimental subject, and each digital speech is respectively recorded 40 in the morning 4:00,10:00 and afternoon 4:00, tetra-periods of 10:00 respectively, and totally 160 digital speech are as the data source of experiment; From pretreated signal, extract 10 reference templates, fatigue strength is 1-5 level from low to high, then put into neutral net and train, subsequently pretreated 160 voice signal input neural networks are tested, contrast reference template draws experimental result.
In addition to the implementation, the present invention can also have other embodiments.All employings are equal to the technical scheme of replacement or equivalent transformation formation, all drop in the protection domain of requirement of the present invention.
Claims (3)
1. a traffic safety detection system and detection method, it is characterized in that: comprise for gathering the mike of sound, described mike gives the transmission of sound signals collecting for carrying out the processor of fatigue detecting, described processor comprises the sound collection module that collects sound for obtaining mike, described sound collection module flows to sound pre-processing module by the voice signal collecting and carries out low-pass filtering, pretreated voice signal enters characteristic extracting module and carries out MFCC parameter extraction, from the parameter of extracting, extract reference template again, putting into neutral net trains again, voice signal and pretreated speech samples input neural network after training are tested, draw experimental result.
2. a kind of traffic safety detection system according to claim 1 and detection method, is characterized in that, described voice collecting process completes by Cooledit software, and the voice of recording are preserved with wave form.
3. a kind of traffic safety detection system according to claim 1 and 2 and detection method, it is characterized in that, using vowel [a :] as experimental subject, each digital speech is respectively recorded 40 in the morning 4:00,10:00 and afternoon 4:00, tetra-periods of 10:00 respectively, and totally 160 digital speech are as the data source of experiment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210303402.XA CN103622707A (en) | 2012-08-20 | 2012-08-20 | Traffic safety detecting system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201210303402.XA CN103622707A (en) | 2012-08-20 | 2012-08-20 | Traffic safety detecting system and method |
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| CN103622707A true CN103622707A (en) | 2014-03-12 |
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| CN201210303402.XA Pending CN103622707A (en) | 2012-08-20 | 2012-08-20 | Traffic safety detecting system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104828095A (en) * | 2014-09-02 | 2015-08-12 | 北汽福田汽车股份有限公司 | Method, device and system of detecting driving status of driver |
| CN108519149A (en) * | 2018-03-28 | 2018-09-11 | 长安大学 | A kind of tunnel accident monitor and alarm system and method based on sound Time-Frequency Analysis |
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2012
- 2012-08-20 CN CN201210303402.XA patent/CN103622707A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104828095A (en) * | 2014-09-02 | 2015-08-12 | 北汽福田汽车股份有限公司 | Method, device and system of detecting driving status of driver |
| CN104828095B (en) * | 2014-09-02 | 2018-06-19 | 北京宝沃汽车有限公司 | Detect the method, apparatus and system of driver's driving condition |
| CN108519149A (en) * | 2018-03-28 | 2018-09-11 | 长安大学 | A kind of tunnel accident monitor and alarm system and method based on sound Time-Frequency Analysis |
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Application publication date: 20140312 |