CN104856685A - Behavior detection system and method based on distributed sound sensor - Google Patents
Behavior detection system and method based on distributed sound sensor Download PDFInfo
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- CN104856685A CN104856685A CN201510192464.1A CN201510192464A CN104856685A CN 104856685 A CN104856685 A CN 104856685A CN 201510192464 A CN201510192464 A CN 201510192464A CN 104856685 A CN104856685 A CN 104856685A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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Abstract
The invention discloses a behavior detection system and method based on a distributed sound sensor. The detection system comprises a sound sensor unit, a signal processing unit, a signal analysis module, a remote statistic module and a monitoring module, which are connected in sequence, wherein the sound sensor is distributed at a preset position and used for collecting an audio signal; the signal processing unit is used for collecting and processing the audio signal; the signal analysis module is used for analyzing a digital signal to generate a behavior signal; the monitoring module is used for receiving a first user command to access the signal analysis module and the remote statistic module; the monitoring module is further used for receiving a second user command to access the remote statistic module remotely; the remote statistic module is used for judging whether the audio signal, the digital signal and the behavior signal are stored or not according to the second user command. According to the system and the method, the sound of a user to be tested is detected through the sound sensor unit distributed at the preset position, so that the user can conveniently detect the own sound and behavior information in daily life.
Description
Technical field
The present invention relates to behavior judgement and Data Detection field, particularly relate to the behavioral value system and method based on distributed acoustic sound sensor.
Background technology
Sound transducer is a kind of device non-signal such as sound being changed into measurable signal of telecommunication and export.In daily life, sound transducer is more often used on mike, and it can only detect the audio frequency of user under particular circumstances.
At present, market occurs some are equipped with the device of sound transducer, this device is combined to facilitate user to need sometimes by this device nurse call having with nursing bed, but, it only can be propagated at the sound of this moment recording user, and the dynamic behaviour data of counting user that can not be long-term.
Summary of the invention
Based on this, be necessary to provide a kind of user of convenience to detect the behavioral value system and method based on distributed acoustic sound sensor of sound and behavioural information.
A kind of behavioral value system based on distributed acoustic sound sensor, comprise and connecting successively: sound transducer unit, signal processing unit, signal analyse block, remote statistics module and monitoring module, described sound transducer cell distribution is at predeterminated position, for gathering the audio signal on predeterminated position, described signal processing unit is used for collecting and process described audio signal and generates digital signal, described signal analyse block generates behavior signal for analyzing described digital signal, described remote statistics module is used for audio signal described in remote storage, described digital signal and described behavior signal, described monitoring module is for receiving signal analyse block described in first user instruction access and described remote statistics module, described remote statistics module also generates statistical information for digital signal according to the second user instruction statistical disposition and described behavior signal.
Wherein in an embodiment, described monitoring module is also for receiving described second user instruction and sending described second user instruction to described remote statistics module.
Wherein in an embodiment, described signal analyse block comprises signal analysis unit and signal memory cell, described signal analysis unit generates described behavior signal for analyzing described digital signal, and described signal memory cell is for storing described digital signal and described behavior signal.
Wherein in an embodiment, described signal processing unit comprises signal amplifier, wave filter, analog-digital converter, described signal amplifier amplifies for amplifying described audio signal, described wave filter is used for the ripple of the audio signal after elimination amplification, and described analog-digital converter is used for converting filtered audio signal to described digital signal.
Wherein in an embodiment, sound transducer unit comprises multiple described sound transducer, multiple described sound transducer is distributed in predeterminated position, sound transducer described in each is for gathering described audio signal, and described monitoring module receives the 3rd user instruction and defines the sensitivity that described signal processing unit collects the described audio signal of multiple described sound transducer.
A kind of behavioral value method based on distributed acoustic sound sensor, be applicable to the behavioral value system based on distributed acoustic sound sensor, comprise the following steps: gather audio signal by the sound transducer being distributed in predeterminated position, collected and process described audio signal by signal processing unit and generate digital signal, analyze described digital signal by signal analyse block and generate behavior signal, described monitoring module receives signal analyse block described in described first user instruction access and described remote statistics module, it is long-range that described second user instruction of described monitoring module reception accesses described remote statistics module, described remote statistics module judges whether to store described audio signal according to described second user instruction, described digital signal and described behavior signal.
Wherein in an embodiment, described remote statistics module receives described second user instruction and described audio signal, described digital signal and described behavior signal is carried out statistical disposition generation statistical information.
Wherein in an embodiment, described signal analysis unit is analyzed described digital signal and is generated described behavior signal, and described signal memory cell stores described digital signal and described behavior signal.
Wherein in an embodiment, described audio signal to carry out amplifying by described signal amplifier, described wave filter and described analog-digital converter by described signal processing unit successively, filtering and analog digital conversion operation generate described digital signal.
Wherein in an embodiment, multiple described sound transducer is distributed in predeterminated position, sound transducer described in each gathers the described audio signal on described predeterminated position, described signal processing unit collects the described audio signal that multiple described sound transducer collects, further, receive by described monitoring module the sensitivity that described audio signal is collected in the 3rd user instruction definition.
The above-mentioned behavioral value system and method based on distributed acoustic sound sensor, the tested user voice of sound transducer unit inspection of predeterminated position is arranged on by distribution, real-time acoustic information and the behavioural information of tested user is drawn under the Treatment Analysis of signal processing unit and signal analyse block, and user is had access to by monitoring module and remote statistics module and analyzes the dynamic change that acoustic information and behavioural information draw the acoustic information that tested user is long-term and behavioural information again, facilitate user in daily middle detection own voice information and behavioural information change.
Accompanying drawing explanation
Fig. 1 is the functional block diagram of one embodiment of the invention based on the behavioral value system of distributed acoustic sound sensor;
Fig. 2 is the structural representation of the unit of sound transducer shown in Fig. 1;
Fig. 3 is the functional block diagram of signal processing unit shown in Fig. 1;
The workflow schematic diagram that Fig. 4 is functional module shown in Fig. 3;
Fig. 5 is the flow chart of steps of one embodiment of the invention based on the behavioral value method of distributed acoustic sound sensor.
Detailed description of the invention
For enabling above-mentioned purpose of the present invention, feature and advantage become apparent more, are described in detail the specific embodiment of the present invention below in conjunction with accompanying drawing.Set forth a lot of detail in the following description so that fully understand the present invention.But the present invention can be much different from alternate manner described here to implement, those skilled in the art can when without prejudice to doing similar improvement when intension of the present invention, therefore the present invention is by the restriction of following public specific embodiment.
Refer to Fig. 1, it is the functional block diagram of one embodiment of the invention based on the behavioral value system 10 of distributed acoustic sound sensor, comprises connecting successively: sound transducer unit 110, signal processing unit 120, signal analyse block 130, remote statistics module 140 and monitoring module 150.Sound transducer unit 110 is distributed in predeterminated position, for gathering the audio signal on predeterminated position, signal processing unit 120 is for collecting and audio signal generation digital signal, signal analyse block 130 generates behavior signal for analyzing digital signal, remote statistics module 140 is for remote storage audio signal, digital signal and behavior signal, monitoring module 150 is for receiving first user instruction access signal analyse block 130 and remote statistics module 140, remote statistics module 140 is also for generating statistical information according to the second user instruction statistical disposition digital signal and behavior signal.
The above-mentioned behavioral value system based on distributed acoustic sound sensor, the sound transducer unit 110 being arranged on predeterminated position by distribution detects tested user voice, real-time acoustic information and the behavioural information of tested user is drawn under the Treatment Analysis of signal processing unit 120 and signal analyse block 130, and user is had access to by monitoring module 150 and remote statistics module 140 and analyzes the dynamic change that acoustic information and behavioural information draw the acoustic information that tested user is long-term and behavioural information again, user is facilitated to detect the situation of change of own voice and behavioural information in daily in real time.
Refer to Fig. 2, it is the structural representation of the unit of sound transducer shown in Fig. 1 110, sound transducer unit 110 comprises multiple sound transducer, such as, multiple sound transducer is from sound transducer 1, sound transducer 2, sound transducer 3, sound transducer 4 to the order label of sound transducer N.Multiple sound transducer is distributed in predeterminated position, and each sound transducer is for gathering audio signal.The sample magnitude of the corresponding audio signal of each sound transducer, and, the corresponding positional information of each sound transducer.So that sound transducer unit 110 is distributed in furniture, then above-mentioned positional information is then the installation site of described sensor corresponding in furniture.Such as, this installation site is distributed as 1 to N in space, corresponding, the sample magnitude of each sound transducer forms sample information P, and that is, each group sample information P is made up of from P1 to Pn sample magnitude.
Monitoring module 150 is also for receiving the second user instruction and sending the second user instruction to remote statistics module 140.
Monitoring module 150 also collects the sensitivity of the audio signal of the multiple sound transducer of sampling for receiving the 3rd user instruction definition signal processing unit 120.Such as, the 3rd user instruction comprises the sampling sensitivity numerical value that user is arranged at monitoring module 150, and sampling sensitivity numerical value also can be understood as the user-defined sampling time to audio signal, and such as, defining each sampling time is T.
Please again consult Fig. 1, signal analyse block 130 comprises signal analysis unit 132 and signal memory cell 131, and signal analysis unit 132 generates behavior signal for analyzing digital signal, and signal memory cell 131 is for storing digital signal and behavior signal.Signal analyse block 130 can be any one in computer system, Single Chip Microcomputer (SCM) system or other processing systems.This signal analyse block 130 has the application program analyzing this digital signal, and has the memory headroom storing digital signal and behavior signal.Such as, signal analyse block 130 is the parts that a dependence program is run.This program can carry out program updates by the server end at remote statistics module 140 place and task is sent with charge free.Such as, these parts carry out treatment and analysis to signal under program and generate behavior signal.
Refer to Fig. 3, it is the functional block diagram of signal processing unit 120 shown in Fig. 1, signal processing unit 120 comprises signal amplifier 121, wave filter 122, analog-digital converter 123, signal amplifier 121 amplifies for amplifying audio signal, the ripple of the audio signal after wave filter 122 amplifies for elimination, analog-digital converter 123 is for converting filtered audio signal to digital signal.Such as, signal processing unit 120 comprises multiple signal amplifier, multiple wave filter, multiple analog-digital converter.Such as, multiple signal amplifier is from signal amplifier 1, signal amplifier 2, signal amplifier 3, signal amplifier 4 to the order label of signal amplifier N.Such as, multiple wave filter is from wave filter 1, wave filter 2, wave filter 3, wave filter 4 to the order label of wave filter N.Such as, multiple analog-digital converter is from analog-digital converter 1, analog-digital converter 2, analog-digital converter 3, analog-digital converter 4 to the order label of analog-digital converter N.
See also Fig. 4, its workflow schematic diagram being functional module shown in Fig. 3, each sample information P forms a digital signal S after signal processing unit 120 processes, and each sample magnitude generates digital signal S1 to Sn by P1 to Pn correspondence.
Such as, digital signal S entering signal analysis module 130, signal analysis unit 132 in signal analyse block 130 carries out discriminatory analysis according to application program to digital signal S and generates behavior signal R, and the data of digital signal S and behavior signal R will be stored by the signal memory cell 131 in signal analyse block 130 simultaneously.Meanwhile, digital signal S and behavior signal R will transfer to monitoring module 150, with the monitoring using user to carry out data.
Remote statistics module 140 receives the second user instruction from monitoring module 150, and such as, when this instruction is remote storage digital signal S and behavior signal R, remote statistics module 140 will carry out long-range storage described digital signal S and described behavior signal R.
Monitoring module 150 also for according to the 4th user instruction, accesses described signal memory cell 131, has access to digital signal S and behavior signal R.
Monitoring module 150 also for according to the 5th user instruction, accesses described signal memory cell 131, has access to digital signal S and the behavior signal R of any time.Such as, the digital signal value defining any time is St
n, the behavior signal value of definition any time is Rt
n.
Described signal analysis unit 132 is also for the value Rt of any time by behavior signal R
ncarry out analyzing and processing according to program and obtain event value M, this event value M is stored in signal memory cell 131, and meanwhile, this event value M transmits and is presented in described monitoring module 150.
Also for controlling according to the 6th user instruction, whether described remote statistics module 140 stores digital signal S, behavior signal R to monitoring module 150, the digital signal value of any time is St
n, any time behavior signal value be Rt
nwith event value M.
Remote statistics module 140 also can be used for pushing the program upgraded in signal analyse block 130.
Monitoring module 150 also processes canned data when described signal memory cell 131 arrives a certain memory space for controlling described signal memory cell 131 according to the 7th user instruction.Such as, delete processing is carried out to canned data.Such as, canned data is transmitted in described remote statistics module 140.
Remote statistics module 140 is also for according to the second user instruction statistical disposition digital signal S, behavior signal R, the digital signal value St of any time
n, any time behavior signal value Rt
nstatistical information Z is generated with event value M.Such as, statistical information Z is stored in remote statistics module 140, and described monitoring module 150 can consult this statistical information Z.
Be appreciated that monitoring module 150 also reads or deletes user be stored in digital signal S, behavior signal R, the digital signal value St of any time in described remote statistics module 140 for controlling described remote statistics module 140 according to the 8th user instruction
n, any time behavior signal value Rt
n, event value M and statistical information Z.
So that this system is applied to furniture, after user uses this device, can analyze and obtain above-mentioned all types of data, due to these data by this user is enjoyed, therefore when this user needs to be shared with other users, this user can by this monitoring module 150 by the data sharing of its correspondence to the user specified.
Refer to Fig. 5, it is the flow chart of steps of one embodiment of the invention based on the behavioral value method 20 of distributed acoustic sound sensor, this detection method is applicable to the behavioral value system based on distributed acoustic sound sensor, be applicable to the behavioral value system based on distributed acoustic sound sensor, it is characterized in that, comprise the following steps:
S001: gather audio signal by the sound transducer being distributed in predeterminated position,
S002: collected and audio signal by signal processing unit 120,
S003: analyze digital signal by signal analyse block 130 and generate behavior signal,
S004: monitoring module 150 receives first user instruction access signal analyse block 130 and remote statistics module 140,
S005: it is long-range that monitoring module 150 receives the second user instruction access remote statistics module 140,
S006: remote statistics module 140 judges whether stored audio signal, digital signal and behavior signal according to the second user instruction.
Remote statistics module 140 receives the second user instruction and audio signal, digital signal and behavior signal is carried out statistical disposition generation statistical information.
Signal analysis unit 132 is analyzed digital signal and is generated behavior signal, and signal memory cell 131 stores digital signal and behavior signal.
Audio signal to carry out amplifying by signal amplifier 121, wave filter 122 and analog-digital converter 123 by signal processing unit 120 successively, filtering and analog digital conversion operation generate digital signal.
Multiple sound transducer is distributed in predeterminated position, each sound transducer gathers the audio signal on predeterminated position, signal processing unit 120 collects the audio signal that multiple sound transducer collects, further, receive by monitoring module 150 sensitivity that audio signal is collected in the 3rd user instruction definition.
For by this detection system and approach application at furniture, measure acoustic information and the behavioural information of user place environment.Definition user is positioned on furniture or around furniture.By being aligned in the described multiple sound transducer on furniture predeterminated position, gather the noise rank of furniture place environment, namely sound collection obtains outer signals, and this outer signals is audio signal.Snoring, nonsense, the apneic characteristic sum frequency can be judged by analyzing this audio signal, and carry out statistical analysis after extracting, draw behavioural information.And for example, by recording to the sleep procedure of user, gather the breathing sent in the sleep procedure of user, thus carry out analyzing the sleep characteristics judging user.When furniture existing multiple user simultaneously, distributed sound can be poor by distributed level signal, draws the relevant information of respective user.User can arrange remote storage tut information, thus can carry out long-term measurement, draws the corelation behaviour information in one period of user.
Each technical characteristic of the above embodiment can combine arbitrarily, for making description succinct, the all possible combination of each technical characteristic in above-described embodiment is not all described, but, as long as the combination of these technical characteristics does not exist contradiction, be all considered to be the scope that this description is recorded.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be construed as limiting the scope of the patent.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. based on a behavioral value system for distributed acoustic sound sensor, it is characterized in that, comprise and connecting successively: sound transducer unit, signal processing unit, signal analyse block, remote statistics module and monitoring module,
Described sound transducer cell distribution at predeterminated position, for gathering the audio signal on predeterminated position,
Described signal processing unit is used for collecting and process described audio signal and generates digital signal,
Described signal analyse block generates behavior signal for analyzing described digital signal,
Described remote statistics module is used for audio signal, described digital signal and described behavior signal described in remote storage,
Described monitoring module for receiving signal analyse block described in first user instruction access and described remote statistics module,
Described remote statistics module also generates statistical information for digital signal according to the second user instruction statistical disposition and described behavior signal.
2. the behavioral value system based on distributed acoustic sound sensor according to claim 1, is characterized in that, described monitoring module is also for receiving described second user instruction and sending described second user instruction to described remote statistics module.
3. the behavioral value system based on distributed acoustic sound sensor according to claim 1, it is characterized in that, described signal analyse block comprises signal analysis unit and signal memory cell,
Described signal analysis unit generates described behavior signal for analyzing described digital signal,
Described signal memory cell is for storing described digital signal and described behavior signal.
4. the behavioral value system based on distributed acoustic sound sensor according to claim 1, it is characterized in that, described signal processing unit comprises signal amplifier, wave filter, analog-digital converter,
Described signal amplifier amplifies for amplifying described audio signal,
Described wave filter is used for the ripple of the audio signal after elimination amplification,
Described analog-digital converter is used for converting filtered audio signal to described digital signal.
5. the behavioral value system based on distributed acoustic sound sensor according to claim 1, it is characterized in that, described sound transducer unit comprises multiple described sound transducer, multiple described sound transducer is distributed in predeterminated position, sound transducer described in each is for gathering described audio signal
Described monitoring module receives the 3rd user instruction and defines the sensitivity that described signal processing unit collects the described audio signal of multiple described sound transducer.
6., based on a behavioral value method for distributed acoustic sound sensor, be applicable to the behavioral value system based on distributed acoustic sound sensor, it is characterized in that, comprise the following steps:
Audio signal is gathered by the sound transducer being distributed in predeterminated position,
Collected and process described audio signal by signal processing unit and generate digital signal,
Analyze described digital signal by signal analyse block and generate behavior signal,
Described monitoring module receives signal analyse block described in described first user instruction access and described remote statistics module,
It is long-range that described second user instruction of described monitoring module reception accesses described remote statistics module,
Described remote statistics module judges whether to store described audio signal, described digital signal and described behavior signal according to described second user instruction.
7. the behavioral value method based on distributed acoustic sound sensor according to claim 1, it is characterized in that, described remote statistics module receives described second user instruction and described audio signal, described digital signal and described behavior signal is carried out statistical disposition generation statistical information.
8. the behavioral value method based on distributed acoustic sound sensor according to claim 1, it is characterized in that, described signal analysis unit is analyzed described digital signal and is generated described behavior signal, and described signal memory cell stores described digital signal and described behavior signal.
9. the behavioral value method based on distributed acoustic sound sensor according to claim 8, it is characterized in that, described audio signal to carry out amplifying by described signal amplifier, described wave filter and described analog-digital converter by described signal processing unit successively, filtering and analog digital conversion operation generate described digital signal.
10. the behavioral value method based on distributed acoustic sound sensor according to claim 1, it is characterized in that, multiple described sound transducer is distributed in predeterminated position, sound transducer described in each gathers the described audio signal on described predeterminated position, described signal processing unit collects the described audio signal that multiple described sound transducer collects, further, receive by described monitoring module the sensitivity that described audio signal is collected in the 3rd user instruction definition.
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