CN102879791B - System for sensing activity data of elder person based on Beidou positioning terminal - Google Patents

Abstract

The invention provides a system for sensing the activity data of elder person based on a Beidou positioning terminal. The system is characterized by comprising four function modules, namely a stay point detection module, an important position extraction module, an activity model establishment module and an active state evaluation module. Activity values of the elder person at different age levels are evaluated through an established life activity evaluation model for the elder person, and a nonlinear regression curve for a relationship between age and activity is obtained to evaluate the normal active state of the elder person, so that the health condition of the elder person can be accurately evaluated and analyzed.

Description

A kind of old man's liveness data perception system based on Big Dipper locating terminal

Technical field

The present invention relates to Big Dipper location and health supervision field, be specifically related to a kind of old man's liveness data perception system based on Big Dipper locating terminal.

Background technology

According to 2010 the 6th time national census general data communique, China 60 years old and above population have reached 1.78 hundred million, account for 13.26% of total population quantity, rise 2.93 percentage points than census in 2000, wherein 65 years old and above population are about 1.19 hundred million, account for 8.87% of total population quantity, rise 1.91 percentage points than census in 2000.Data show, Chinese aging process is progressively accelerated nearly ten years.Meanwhile, family's " empty nesting " and the elderly's anergy situation are more and more serious.Town and country family not living home of China exceedes 50%, and part big and medium-sized cities reach 70%; 2010 the year end urban and urual areas of whole country's part anergy and complete anergy the elderly approximately 3,300 ten thousand.

Aging, empty nesting, the large problem of anergy three, make the senior health and fitness's problem in social development process more and more outstanding.At present, also imperfection of China's medical treatment infrastructure, medical resource is relatively deficient.Rely on advanced science and technology to greatly develop the medical treatment & health service towards the elderly, improve level and the independent living ability of the daily monitoring of the elderly, become very urgent social demand.

On the other hand, Beidou satellite navigation and positioning system, being the active three-dimensional satnav of regionality and the communication system that China develops voluntarily, is GPS (GlobalPositioning System), Muscovite GLONASS (Global Navigation SatelliteSystem) the 3rd the ripe satellite navigation system afterwards except the U.S..This system is made up of three (two work satellites, a backup satellite) Big Dipper position location satellites (No. one, the Big Dipper), Wei Zhu ground, ground control centre part, Big Dipper user terminal three parts, can be in the world round-the-clock, round-the-clock provides high precision, highly reliable location, navigation, time service service for all types of user, and has short message communication capacity concurrently.End in May, 2,012 12 of satellite in orbit, tentatively possessed area navigation, location and time service ability.Beidou satellite navigation system will form Global coverage ability at the year two thousand twenty.Its positioning precision is better than 20m at present, and time service precision is better than 100ns.

About old man's health supervision, have some long distance control systems and safety management system at present.For example application number is KR2010005494-A; KR980426-B1, name is called " Remote elder person monitoring system, has control center serviceapparatus providing emergency call corresponding to emergencyannouncement of appointment about event triggered according tojudgment of analysis of person ", an aged health long distance control system has been proposed, can be used for detecting old man's health status, the state of active state and surrounding environment.Utilize wired or wireless mode by monitoring information transmission to telemanagement center, according to the comprehensive analysis to object of observation state, the relevant treatment such as report to the police in the time being in an emergency.But, this patent system is mainly for fixed environments such as families, what react is old man's active state of portion within the family, and this patent is intended to analyze the migration of old man between multiple diverse locations (family, supermarket, hospital, cinema etc.), its (society) active degree of comprehensive assessment.

For example application number is KR2009085460-A again, name is called " System for safetymanagement of person e.g.solitary elder using power communicationline, transmitting urgency correspondence about person when abnormaloccurrence in person activity is determined ", a kind of system of with power circuit, disabled person or old solitary people being carried out safety management has been proposed.This system, to user's electricity usage pattern and the electricity usage data analysis receiving, judges that abnormal behaviour appears in user's possibility, as long-time electricity consumption load too low or too high.In the time finding that there is abnormal behaviour generation and do not reply, will from database, extract user's positional information, and send it to specific emergency management and rescue personnel, in time user is succoured.But this patent system is also mainly for environment such as families, its positional information is mainly used in emergency management and rescue personnel and conveniently finds user, but this patent does not analyze the liveness of user's daily life from position data.The core of this patent is to extract the position of the daily access of user, and according to the accessing characteristic of position being analyzed to its (society) liveness.

In sum, analyze old man's activity level situation by the position and the trace information that obtain old man's daily life, in the urgent need to a kind of old man's liveness data perception system based on Big Dipper locating terminal.

Summary of the invention

The invention provides a kind of old man's liveness data perception system based on Big Dipper locating terminal, realize old man's life liveness is carried out to accurate evaluation, and then the daily physical condition of old man is carried out effectively monitoring and analyzed.

The technology used in the present invention thinking is: using Big Dipper locating terminal as data acquisition equipment, extract all kinds of stop places and motion track information in old man's daily life, analyze the activity level that obtains the long-time life of old man, infer old man's self health status with this, and then intelligence, the level of aged health monitoring that improves all sidedly.From the viewpoint of the displacement two between the residence time and the position of position, dwell point extraction is carried out in constraint based on time and two aspects, space, again by dwell point is carried out to the cluster based on density, set up old man's life liveness computation model, thereby realize accurate evaluation and the analysis of aged health situation.

The technical solution adopted in the present invention is: a kind of old man's liveness data perception system based on Big Dipper locating terminal, it is characterized in that, comprise four functional modules, i.e. dwell point detection module, critical positions extraction module, liveness model building module and active state evaluation module:

1) dwell point detection module, obtain the real-time latitude and longitude coordinates Loc (x in old man's daily routines track by Big Dipper locating terminal, y) with corresponding time tag (Time), wherein x is the longitude Longitude of Big Dipper anchor point, y is the latitude Latitude of Big Dipper anchor point, because a single point is not enough to show the stop place of old man's daily routines, so a series of anchor points on event trace are carried out to the detection on time and space constraint, find out the dwell point significantly stopping in old man's event trace, again the one or more anchor points that form each dwell point are averaged, to represent the latitude and longitude coordinates of certain dwell point,

2) critical positions extraction module, in fact multiple dwell points of often significantly accessing due to old man are exactly that certain semantic locations is (as family, park, supermarket etc.), so the dwell point in old man's daily routines track that dwell point detection module is detected carries out the cluster based on density, when certain class semantic locations is (as family, park, supermarket etc.) while comprising multiple dwell point, this type of semantic locations is one of old man's critical positions of extraction, analyze after the daily routines track of the long-term life of old man, multiple access frequencys of finding out old man's daily routines are high, the critical positions that the residence time is long,

3) liveness model building module, from critical positions extraction module, obtain the time of critical positions and the stop critical positions of old man's daily routines, for the dwell point in each critical positions, for the residence time of each dwell point, and and enter the distance between all dwell points of each dwell point, set up the liveness model of liveness and dwell point spacing and dwell point access duration;

4) active state evaluation module, by liveness model, observe the situation of enlivening of the long-term life activity track of old man, calculate the liveness data of each age level, the nonlinear function curve that obtains old man's age and liveness relation, carries out the assessment of old man's life active state thus.

The invention has the advantages that:

1) the critical positions extractive technique of fusion space-time restriction: the long-term daily routines track of old man is obtained in the critical positions extractive technique utilization of merging space-time restriction; carry out data acquisition by Big Dipper positioning terminal equipment; under the constraint aspect time and space two; make in the long-term daily life of old man; extract the critical positions that access frequency is high, the residence time is long, meet the demand of evaluation and analysis old man life liveness.

2) the liveness computing method based on track sequence analysis: by the data acquisition of Big Dipper positioning terminal equipment; extract and analyze old man's daily routines track sequence; consider from the space length between the residence time and the position of critical positions; set up the mathematics computing model of liveness, thereby can realize the modeling of overall old man's life liveness assessment.

3) the user's active state assessment technology based on nonlinear regression analysis: by old man's life liveness assessment models of setting up; and obtain the liveness value of old man in all ages and classes stage by assessment; the non-linear regression curve of age of acquisition and liveness relation; realize the evaluation and test of old man's normal active state, thereby realize accurate evaluation and the analysis of aged health situation.

Accompanying drawing explanation

Fig. 1 is system function module of the present invention;

Fig. 2 is a Big Dipper positioning track figure of the present invention;

Fig. 3 is that dwell point of the present invention detects and represents schematic diagram;

Fig. 4 is Density Clustering algorithm schematic diagram of the present invention;

Fig. 5 is that critical positions of the present invention is extracted schematic diagram;

Fig. 6 is critical positions event trace figure of the present invention;

Fig. 7 is the relation curve of normal life lower age of state of the present invention and liveness.

Embodiment

The present invention carries out data acquisition with Big Dipper positioning terminal equipment; by analyzing the long-term daily life track of old man; consider from time and two aspects, space; extract the critical positions of daily life track; set up the evaluation and test model of old man's life liveness; the finally normal active state based on nonlinear regression analysis assessment old man, thus accurate evaluation and the analysis of model to aged health situation completed.

As shown in Figure 1, method and system of the present invention mainly comprise four functional modules, i.e. dwell point detection module, critical positions extraction module, liveness model building module and active state evaluation module.

1) dwell point detection module

Event trace in old man's daily life carries out data acquisition by Big Dipper locating terminal, as shown in Figure 2, each Big Dipper positioning track is made up of several anchor points, and each anchor point (Point) data comprise longitude (Longitude), latitude (Latitude) and the time tag (Time) of this geographical location information.

The activity of old man within a period of time can be recorded as such motion track, and as shown in Figure 3, in this motion track, old man has accessed some place significantly stopping within the specific limits, such as the dwell point S of Fig. 3 _i, the time that these dwell points (Stay Point) expression old man stops in certain region has exceeded regular hour scope, and certain dwell point is as the p of Fig. 3 by one group ₃, p ₄, p ₅multiple anchor point compositions.

The constraint of consideration time and Liang Ge aspect, space, for one group of anchor point { p _i, p _i+1..., p _j(1≤i≤j≤n), a dwell point is detected by following formula (1) and (2).

Distance(p _i-p _j)≤D _const(1)

Wherein, D _constfor space constraint value, Distance (p _i-p _j) be p _iand p _jthe space length of 2.

Time(p _i-p _j)≥T _const(2)

Wherein, T _constfor timing constraint value, Time (p _i-p _j) be p _iand p _jthe mistiming of 2.

After certain the dwell point S=(lo, la, Beg_Time, End_Time) in one section of motion track is detected, the longitude and latitude that is carried out its geographical location information by following formula (3) and (4) represents:

$S.\mathrm{lo}=\frac{\underset{i=i}{\overset{j}{\mathrm{\Σ}}}{p}_i.\mathrm{lo}}{\left|S\right|}---\left(3\right)$

Wherein, S.lo represents the longitude of dwell point S, p _i.lo represent some p _ilongitude, | S| represents one group of anchor point { p _i, p _i+1..., p _jnumber.

$S.\mathrm{la}=\frac{\underset{i=i}{\overset{j}{\mathrm{\Σ}}}{p}_i.\mathrm{la}}{\left|S\right|}---\left(4\right)$

Wherein, S.la represents the latitude of dwell point S, p _i.la represent some p _ilatitude, | S| represents one group of anchor point { p _i, p _i+1..., the number of pj}.

Meanwhile, the time tag of first point that the start time of the residence time of this dwell point is this group, i.e. S.Beg_Time=t _i, the time tag of last point of this group of end time, is S.End_Time=t _j.

2) critical positions extraction module

In many motion tracks of old man's daily life, because Big Dipper positioning terminal equipment has certain sampling period, when old man long-time, repeatedly access same semantic locations (as family, park, supermarket etc.) time, and this semantic locations is actually a critical positions region, so the data that collected by Big Dipper positioning terminal equipment will be in same critical positions region, produce the very contiguous dwell point of cluster latitude and longitude coordinates, therefore for the dwell point sequence detecting in old man's daily life, the extraction of its critical positions adopts carries out the Density Clustering based on DBSCAN as Fig. 4.

Wherein, between dwell point, distance is calculated by formula (5):

Distance(S _i-S _j)≤D _Cluster(5)

Wherein, D _clusterfor Density Clustering middle distance threshold value, Distance (S _i-S _j) be S _iand S _jspace length between two dwell points, and 0≤i≤j≤m.

By the Density Clustering algorithm based on DBSCAN as above, extract that some access frequencys in old man's daily life are high, the residence time is long critical positions, as family, supermarket, bank, park, hospital etc., as shown in Figure 5.

3) liveness model building module

When the critical positions in the event trace that extracts old man's daily life, as shown in Figure 6, form the event trace figure of a critical positions, each critical positions is contacted by the route that enters or leave, and shows access order and the frequency of critical positions.The evaluation and test of old man's liveness is calculated by following mathematical model:

$\mathrm{Act}\_\mathrm{Degree}={\mathrm{\Σ}}_{i=1}^n{\mathrm{\λ}}_D{d}_i\·e^{-{\mathrm{\λ}}_T{t}_i}---\left(6\right)$

Wherein, d _irepresent that other dwell points enter the distance of this dwell point, λ _drepresent the distance weighting factor, t _irepresent the residence time of this dwell point, _λt represents the time weighting factor.

This is that the liveness assessment models of foundation, is the old man's liveness data perception model based on Big Dipper locating terminal according to liveness and dwell point spacing, relation between the residence time.It is directly proportional to dwell point spacing, is inversely proportional to the residence time, and more liveness is higher to represent old man's scope of activities, and the longer liveness of time stopping at dwell point is lower.

4) active state evaluation module

According to the aforementioned old man's liveness data perception model based on Big Dipper locating terminal that we set up, the liveness data in all ages and classes stage by old man again, carry out nonlinear regression and fitting, obtain the non-linear regression curve of age and liveness relation, as shown in Figure 7.The two dimensional surface of age and liveness relation is divided in matched curve, in the time that liveness value corresponding to all ages and classes drops on curve or curve top, show that the liveness of this old man's daily life is in normal or higher state, and in the time that liveness value drops on curve below, the liveness that shows this old man's daily life is on the low side, need evaluation and test old man's normal active state in detail, in conjunction with the knowledge of healthy Lifestyle and old man's medical monitoring, carry out suitable prompting and guiding progressively, improve its active degree and the state of making the life better, make old man's weather to health, positive future development.

Claims (1)

1. the old man's liveness data perception system based on Big Dipper locating terminal, is characterized in that, comprises four functional modules, i.e. dwell point detection module, critical positions extraction module, liveness model building module and active state evaluation module:

1) dwell point detection module, obtain the real-time latitude and longitude coordinates Loc (x in old man's daily routines track by Big Dipper locating terminal, y) with corresponding time tag (Time), wherein x is the longitude Longitude of Big Dipper anchor point, and y is the latitude Latitude of Big Dipper anchor point; And a series of anchor points on event trace are carried out to the detection on time and space constraint, find out the dwell point significantly stopping in old man's event trace, again the one or more anchor points that form each dwell point are averaged, to represent the latitude and longitude coordinates of certain dwell point;

2) critical positions extraction module, dwell point in old man's daily routines track that dwell point detection module is detected carries out the cluster based on density, in the time that certain class semantic locations comprises multiple dwell point, this type of semantic locations is one of old man's critical positions of extraction, analyze after the daily routines track of the long-term life of old man the critical positions that multiple access frequencys are high, the residence time is long of finding out old man's daily routines with this;

3) liveness model building module, from critical positions extraction module, obtain the time of critical positions and the stop critical positions of old man's daily routines, for the dwell point in each critical positions, for the residence time of each dwell point, and and enter the distance between all dwell points of each dwell point, set up the liveness model of liveness and dwell point spacing and dwell point access duration;

4) active state evaluation module, by liveness model, observe the situation of enlivening of the long-term life activity track of old man, calculate the liveness data of each age level, the nonlinear function curve that obtains old man's age and liveness relation, carries out the assessment of old man's life active state thus.

Images