CN104504396A - Method for recognizing position state of human body by utilizing natural environment wireless signal - Google Patents
Method for recognizing position state of human body by utilizing natural environment wireless signal Download PDFInfo
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- CN104504396A CN104504396A CN201410798000.0A CN201410798000A CN104504396A CN 104504396 A CN104504396 A CN 104504396A CN 201410798000 A CN201410798000 A CN 201410798000A CN 104504396 A CN104504396 A CN 104504396A
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- G06F2218/08—Feature extraction
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- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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Abstract
The invention discloses a method for recognizing a position state of a human body by utilizing a natural environment wireless signal, belongs to the technical field of wireless network technology and mode recognition and relates to a method for realizing the recognition on an indoor position state of the human body by utilizing the natural environment wireless signal based on mode recognition. The recognition method comprises two parts, namely a training stage and a working stage, wherein in the training stage, aiming at the position state of the human body, an intelligent analysis and recognition software controls an intelligent antenna and a wireless receiver to measure wireless signals in multiple directions and reads a channel signal strength information sequence corresponding to each direction; in the working stage, the intelligent analysis and recognition software controls the intelligent antenna and the wireless receiver to measure the wireless signals in the multiple directions, carry out digital filter on the channel signal strength information sequence and carry out mean value, variance and peak-to-peak value analysis computation. The method disclosed by the invention has the advantages that the installation is convenient, the personnel participation does not need, the privacy leak is not involved, and the like, and the method can be widely applied to application fields such as intelligent home and intelligent space.
Description
Technical field
The invention belongs to radio network technique and mode identification technology, relate to one and utilize physical environment wireless signal based on pattern-recognition, realize the identification of the location status to indoor human body, can be widely applied in Smart Home, intelligent space.
Background technology
Along with the development of infotech and improving constantly of people's living standard, the intelligence degree of family promotes day by day, and the application such as Smart Home, intelligent space is more and more popularized.In above-mentioned application, the key foundation problem solved is needed to be the information such as position, state that system needs to know human body, to make corresponding intelligent operation.
At present, conventional perception position of human body, the method for state use different sensors to process respectively to position and state.Location recognition adopts the image-recognizing method based on camera usually, and caught the image of human body by the multiple cameras be arranged in room, Land use models recognition methods identifies the position of people.Related work, e.g., Fan Xinnan etc. " the human body tracking algorithm research based on sequence image is summarized ", computer engineering and design, the 2012,33rd volume, the 1st phase, P278-P281 page.State recognition adopts the method based on acceleration transducer usually, by being arranged on the acceleration transducer on human body, utilizes recognizer to identify the state of human body.Related work, e.g., Li Na etc. " the real-time body's state recognition algorithm based on 3-axis acceleration signal ", Beijing University of Technology's journal, the 2012,38th volume, o. 11th, P1689-P1693 page.Although said method can obtain good position of human body estimated accuracy and state recognition precision, but camera relates to privacy leakage problem, most users is reluctant to be intended to family and is installed camera, meanwhile, acceleration transducer is installed with it and also can causes inconvenience.
In recent years, along with the development of wireless technology, wireless network has been dispersed throughout each corner of our life.There is the wireless signals such as numerous WiFi signal, GSM signal, FM signal, TV signal in place.According to the propagation characteristic of electric wave, when electric wave is through meeting crested and absorption during human body, thus received signal strength is changed.When the position of human body, state change, the wireless signal of crested also can change.Therefore, the variation characteristic of place environment wireless signal can be utilized to estimate position and the state of human body, thus realize the identification to position of human body state.
Summary of the invention
The object of the invention is the defect overcoming prior art, invent a kind of position of human body state identification method utilizing physical environment wireless signal.By the impact of position of human body state on place wireless signal, by excavating and study the degree of depth of place radio signal characteristics, recognition methods is by training stage and working stage, realize the estimation to position of human body and state, and then provide position of human body status information for application such as Smart Homes.Recognition methods of the present invention does not relate to privacy leakage, does not need erecting equipment on human body, has convenient, safe feature; Meanwhile, due to the inherent characteristic of wireless signal, this method also has the condition such as illumination, smog insensitive, has the advantages such as penetrability, is applicable to the demand of the emerging application such as old man's monitoring, Smart Home.
Technical scheme of the present invention is a kind of position of human body state identification method utilizing physical environment wireless signal, it is characterized in that, recognition methods is made up of training stage and working stage two parts;
Training stage, for each possible location status of people, intellectual analysis identification software controls smart antenna and the wireless signal of wireless receiver to multiple directions is measured, and reads the channel signal strength information sequence of corresponding all directions; Afterwards, intellectual analysis identification software carries out digital filtering by the channel signal strength information sequence of all directions, average, variance, peak-to-peak value analytical calculation, utilizes these statistical informations to characterize the signal characteristic that human body is in certain location status.Through the measurement to all possible position states of human body, set up signal characteristic storehouse.Working stage, intellectual analysis identification software controls smart antenna and the wireless signal of wireless receiver to multiple directions is measured, and reads the channel signal strength information sequence of corresponding all directions; Afterwards, the channel signal strength information sequence of intellectual analysis identification software to all directions carries out digital filtering, carry out average, variance, peak-to-peak value analytical calculation, based on the feature measured in the signal characteristic that obtains and signal characteristic storehouse, characteristic matching searching algorithm is adopted to identify position and the state of human body; The concrete steps of recognition methods training stage are as follows:
1) human body is in some ad-hoc location states;
2) the intellectual analysis identification software 2 operated on microprocessing systems 1 sends frequency of operation, the amplifier gain parameter of instruction configuration wireless receiver 3, makes wireless receiver 3 be in reception to a certain frequency channels always;
3) wave beam that the intellectual analysis identification software 2 operated on microprocessing systems 1 sends instruction control smart antenna 4 adjusts to a certain specific direction θ
1, and obtain channel signal strength information sequence by this direction of wireless receiver 3 continuous coverage
here, M is sample sequence length, and sampling interval is 1 millisecond;
4) intellectual analysis identification software 2 is based on channel signal strength information sequence
first be that the Butterworth lowpass filters of 10KHz carries out digital filtering process to sequence based on cutoff frequency, afterwards, calculate the average μ of sequence
θ 1, variances sigma
θ 1, peak-to-peak value η
θ 1;
5) intellectual analysis identification software 2 repeats above-mentioned steps 3,4, controls the N number of direction θ of smart antenna 4 pairs of continuous print
1, θ
2..., θ
nmeasure, realize the covering scanning survey to 360 degree of plane spaces, and obtain the channel signal strength information sequence corresponding with N number of direction
and the statistical nature C of correspondence
i={ μ
θ 1, σ
θ 1, η
θ 1..., μ
θ N, σ
θ N, η
θ N, this statistical nature is for characterizing people's signal characteristic corresponding to this location status;
6) people's change bit configuration state, repeats step 2 to 5, obtains the corresponding signal characteristic in reposition state.Travel through all possible location status, build signal characteristic storehouse;
The concrete steps of recognition methods working stage are as follows:
1) for the location status of certain the unknown, run the step 2 of training stage to 5, obtain the signal characteristic C of current position state
x;
2) intellectual analysis identification software 2 searches out the location status nearest with this characteristic distance by Feature Correspondence Algorithm from signal characteristic storehouse, as follows:
i＝argmin||C
x-C
i||
Wherein, C
xrepresent the signal characteristic that current position state is corresponding, C
ii-th feature in representation feature storehouse, || C
x-C
i|| represent two vectorial Euclidean distances, argmin||C
x-C
i|| the sequence number that the signal characteristic making Euclidean distance minimum in backout feature storehouse is corresponding;
3) intellectual analysis identification software 2 using the location status of i-th feature in the character pair storehouse of calculating in step 2 as location status Output rusults corresponding to current time human body; Training stage only needs to train once when system is disposed and installed, and only need run according to the step of working stage in real work;
Utilize a position of human body state identification method for physical environment wireless signal, it is characterized in that: the device adopted in recognition methods is made up of microprocessing systems 1, intellectual analysis identification software 2, wireless receiver 3, smart antenna 4; Smart antenna 4 can catch signal strength characteristics corresponding in multiple directions, serves the object of space diversity reception, improves the resolution characteristic of recognition device to state; Intellectual analysis identification software 2 pairs of bursts carry out filtering process, the feature of the vectorial characterization signal sequence utilizing average, variance, peak-to-peak value to form, and Land use models recognizer realizes the estimation of location status.
The estimation that beneficial effect of the present invention is to utilize physical environment wireless signal to realize position of human body state, without the need to installing any device, participation without the need to people on human body.Device is convenient to Fast Installation layout, and convenient disassembly, does not relate to privacy compromise problem.
Accompanying drawing explanation
Fig. 1 is system architecture diagram of the present invention, in figure: 1-microprocessing systems, 2-intellectual analysis identification software, 3-wireless receiver, 4-smart antenna.
Fig. 2 is training stage process flow diagram, and Fig. 3 is working stage process flow diagram.
Embodiment
Specifically elaborate enforcement of the present invention below in conjunction with technical scheme and accompanying drawing, the present invention is a kind of position of human body state identification method utilizing physical environment wireless signal, by analyzing the feature of place wireless signal, estimates the location status of human body.Utilize the position of human body status identification means of physical environment wireless signal to be made up of smart antenna 4, wireless receiver 3, microprocessing systems 1, intellectual analysis identification software 2, the block diagram of system as shown in Figure 1.Smart antenna 4 is directive antennas of a kind of beam direction dynamic adjustment, the steering order coming from microprocessing systems can be received, change the main lobe direction of antenna, thus, only receive the wireless signal of some specific directions, the smart antenna 4 in embodiment is 6 Element-Array Smart Antennas be made up of 6 array elements, main lobe width 45 degree, direction adjustment stepping 5 degree, can cover 360 degree of total spaces.Wireless receiver 3 can receive the wireless signal of a certain frequency channels, measure the signal strength information of this wireless channel, and signal strength information can be sent to microprocessor system, microprocessing systems 1 can be general purpose PC or can the embedded system of operation system.In embodiment, microprocessing systems 1 adopts general purpose PC, frequency of operation 3.0GHz, internal memory 8GBytes.
General purpose PC adopts Matlab code write intellectual analysis identification software 2, first according to the training stage process flow diagram shown in Fig. 2, training study is carried out to location status feature.Order smart antenna 4 points to different directions successively with 30 degree of steppings, and continuous coverage 100 correspondence direction θ
1signal intensity sequence
carry out filtering and counting statistics characteristic mean μ
θ 1, variances sigma
θ 1, peak-to-peak value η
θ 1, obtain the signal characteristic C of human body when a certain location status i
i={ μ
θ 1, σ
θ 1, η
θ 1..., μ
θ N, σ
θ N, η
θ N.Afterwards, adopting uses the same method measures signal characteristic when human body is in different location statuss, and then builds complete signal characteristic storehouse.
Wireless receiver 3 in embodiment adopts USRP software radio receiver, is operated in 2.4GHz, receiving sensitivity-98dBm, can receive neighbouring WiFi wireless signal.According to the working stage process flow diagram shown in accompanying drawing 3, location status feature is gathered, calculates, match cognization.Order smart antenna points to different directions successively with 30 degree of steppings, and continuous coverage 100 correspondence direction θ
1signal intensity sequence
carry out filtering and counting statistics characteristic mean μ
θ 1, variances sigma
θ 1, peak-to-peak value η
θ 1, obtain the signal characteristic C of human body when current position state
x={ μ
θ 1, σ
θ 1, η
θ 1..., μ
θ N, σ
θ N, η
θ N.Afterwards, intellectual analysis identification software 2 searches out the location status nearest with this characteristic distance by Feature Correspondence Algorithm from signal characteristic storehouse, as follows:
i＝argmin||C
x-C
i||
Wherein, C
xrepresent the signal characteristic that current position state is corresponding, C
ii-th feature in representation feature storehouse, || C
x-C
i|| represent two vectorial Euclidean distances, argmin||C
x-C
i|| the sequence number that the signal characteristic making Euclidean distance minimum in backout feature storehouse is corresponding; Intellectual analysis identification software 2 using the location status of i-th feature in the character pair storehouse of calculating as location status Output rusults corresponding to current time human body.
In experiment, adopt 10 kinds of location status features, after tested, correct recognition rata is 95%, meets the demand of most application.Compared with existing method, method of the present invention does not relate to privacy leakage, does not need erecting equipment on human body, has convenient, safe feature; Meanwhile, due to the inherent characteristic of wireless signal, this method also has the condition such as illumination, smog insensitive, has the advantages such as penetrability, is applicable to the demand of the emerging application such as old man's monitoring, Smart Home.
Claims (2)
1. utilize a position of human body state identification method for physical environment wireless signal, it is characterized in that, location status recognition methods is made up of training stage and working stage two parts; Training stage, for each possible location status of people, intellectual analysis identification software controls smart antenna and the wireless signal of wireless receiver to multiple directions is measured, and reads the channel signal strength information sequence of corresponding all directions; Afterwards, intellectual analysis identification software carries out digital filtering by the channel signal strength information sequence of all directions, average, variance, peak-to-peak value analytical calculation, utilizes these statistical informations to characterize the signal characteristic that human body is in certain location status; Through the measurement to all possible position states of human body, set up signal characteristic storehouse; Working stage, intellectual analysis identification software controls smart antenna and the wireless signal of wireless receiver to multiple directions is measured, and reads the channel signal strength information sequence of corresponding all directions; Afterwards, the channel signal strength information sequence of intellectual analysis identification software to all directions carries out digital filtering, carry out average, variance, peak-to-peak value analytical calculation, based on the feature measured in the signal characteristic that obtains and signal characteristic storehouse, characteristic matching searching algorithm is adopted to identify position and the state of human body;
The concrete steps of location status recognition methods training stage are as follows:
1) human body is in some ad-hoc location states;
2) operate in frequency of operation, amplifier gain parameter that intellectual analysis identification software (2) on microprocessing systems (1) sends instruction configuration wireless receiver (3), make wireless receiver (3) be in reception to a certain frequency channels always;
3) wave beam that the intellectual analysis identification software (2) operated on microprocessing systems (1) sends instruction control smart antenna (4) adjusts to a certain specific direction θ
1, and obtain channel signal strength information sequence by this direction of wireless receiver (3) continuous coverage
wherein, 1-M is sample sequence length, and sampling interval is 1 millisecond;
4) intellectual analysis identification software (2) is based on channel signal strength information sequence
first be that the Butterworth lowpass filters of 10KHz carries out digital filtering process to sequence based on cutoff frequency, then calculate the average μ of sequence
θ 1, variances sigma
θ 1, peak-to-peak value η
θ 1;
5) intellectual analysis identification software (2) repeats above-mentioned steps 3,4, controls smart antenna (4) to the N number of direction θ of continuous print
1, θ
2..., θ
nmeasure, realize the covering scanning survey to 360 degree of plane spaces, and obtain the channel signal strength information sequence corresponding with N number of direction
and the statistical nature C of correspondence
i={ μ
θ 1, σ
θ 1, η
θ 1..., μ
θ N, σ
θ N, η
θ N, this statistical nature is for characterizing people's signal characteristic corresponding to this location status;
6) people's change bit configuration state, repeats step 2 to 5, obtains the corresponding signal characteristic in reposition state; Travel through all possible location status, build signal characteristic storehouse; Training stage only needs to train once when system is disposed and installed, and afterwards, system only need be run according to the step of working stage in real work;
The concrete steps of location status recognition methods working stage are as follows:
1) for the location status of certain the unknown, run the step 2 of training stage to 5, obtain the signal characteristic C of current position state
x;
2) intellectual analysis identification software (2) searches out the location status nearest with this characteristic distance by Feature Correspondence Algorithm from signal characteristic storehouse, as follows:
i＝argmin||C
x-C
i||
Wherein, C
xrepresent the signal characteristic that current position state is corresponding, C
ii-th feature in representation feature storehouse, || C
x-C
i|| represent two vectorial Euclidean distances, argmin||C
x-C
i|| the sequence number that the signal characteristic making Euclidean distance minimum in backout feature storehouse is corresponding;
3) intellectual analysis identification software (2) using the location status of i-th feature in the character pair storehouse of calculating in step 2 as location status Output rusults corresponding to current time human body.
2. the position of human body state identification method utilizing physical environment wireless signal according to claim 1, is characterized in that: the recognition device that this recognition methods adopts is made up of microprocessing systems (1), intellectual analysis identification software (2), wireless receiver (3), smart antenna (4); Smart antenna (4) can catch signal strength characteristics corresponding in multiple directions, serves the object of space diversity reception, improves the resolution characteristic of recognition device to state; Intellectual analysis identification software (2) carries out filtering process to burst, the feature of the vectorial characterization signal sequence utilizing average, variance, peak-to-peak value to form, and Land use models recognizer realizes the estimation of location status.
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