CN110310719A - Human behavior analysis method - Google Patents
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- CN110310719A CN110310719A CN201910598633.XA CN201910598633A CN110310719A CN 110310719 A CN110310719 A CN 110310719A CN 201910598633 A CN201910598633 A CN 201910598633A CN 110310719 A CN110310719 A CN 110310719A
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Abstract
The present invention provides a kind of human behavior analysis method.Human behavior analysis method includes obtaining personnel in the positioning coordinate data of a first stage；According to the positioning coordinate data, the personnel are calculated in the motion characteristic data in the first stage；The motion characteristic data is compared with a standard movement data, analyzes the behavioural characteristic of the personnel；According to the behavioural characteristic, the Behavioral change of the personnel is judged.Thus, it is possible to intervene according to the Behavioral change of personnel the behavioral expectations result of related personnel, such as formulate treatment and rehabilitation programme.
Description
Technical field
The invention relates to a kind of human behavior analysis methods, and in particular to a kind of people based on location data
Member's behavior analysis method.
Background technique
With the development of science and technology, indoor locating system is in retail, food and drink, logistics, manufacture, chemical industry, electric power, medical treatment, endowment
Etc. industries shown vast market prospect, in this context, UWB (ultra wide band) positioning, bluetooth positioning, Wi-Fi positioning,
The technologies such as RFID positioning, infrared technique, ultrasonic wave enter market one after another, for different industries indoor positioning demand contribute to it is many
Effective location-based service scheme.Items technology is applied to indoor locating system at present, provided service it is main or according to
Lai Yu realizes the basic function of personnel positioning to the inquiry of location data and simple process, if personnel call the roll, motion profile, and electronics
Fence alarm etc..
And it how to be based on the prior art, the plenty of time of indoor positioning device institute output, spatial information are applied, tied
It closes cloud intelligence AI analysis system and carries out big data analysis, personnel's personal behavior and Social behaviors are obtained using location data
Analysis and anticipation, one of the project actually urgently overcome at present.
Summary of the invention
To solve the above problems, the present invention provides a kind of human behavior analysis method, people can be obtained based on location data
Member's personal behavior and the analysis of Social behaviors and anticipation, intervene the behavioral expectations result of related personnel, such as formulate and look after
With rehabilitation programme etc..
The human behavior analysis method of one embodiment of the invention, comprising the following steps: obtain personnel in a first stage
Position coordinate data；According to the positioning coordinate data, the personnel are calculated in the motion feature in the first stage
Data；The motion characteristic data is compared with a standard movement data, analyzes the behavioural characteristic of the personnel；According to described
Behavioural characteristic judges the Behavioral change of the personnel.
Above-mentioned human behavior analysis method, wherein the standard movement data generate in the following manner:
The personnel are obtained in the positioning coordinate data of a second stage, according to the positioning coordinate of the second stage
The standard movement data are calculated in data.
Above-mentioned human behavior analysis method, wherein the second stage is earlier than the first stage.
Above-mentioned human behavior analysis method, wherein the Behavioral change includes that normal behaviour and locomitivity are abnormal.
Above-mentioned human behavior analysis method, wherein when the Behavioral change is normal behaviour, store first rank
The motion characteristic data of section, the standard movement data as next stage.
Above-mentioned human behavior analysis method, wherein when the Behavioral change is locomitivity exception, Xiang Suoshu personnel
Early warning is issued, and arranges corresponding treatment and rehabilitation programme.
Above-mentioned human behavior analysis method, wherein the motion characteristic data includes average speed and equispaced.
Above-mentioned human behavior analysis method, wherein the standard movement data generate in the following manner:
The more than two normal stop places of the personnel are chosen, obtain the personnel in a phase III in the normal stop
Regular motion data between place establish movement norm, as the standard movement data.
Above-mentioned human behavior analysis method, wherein the motion characteristic data includes movement duration, average speed, fortune
Dynamic section, interval point and intermittent time.
Above-mentioned human behavior analysis method, wherein the standard movement data include movement duration, average speed, fortune
Dynamic section, interval point and intermittent time.
Above-mentioned human behavior analysis method, wherein the Behavioral change includes normal behaviour, route deviates and movement
Ability is abnormal.
Above-mentioned human behavior analysis method, wherein when the Behavioral change is normal behaviour, store first rank
The motion characteristic data of section.
Above-mentioned human behavior analysis method, wherein when the Behavioral change is that route deviates, Xiang Suoshu personnel are issued
Early warning, and arrange corresponding treatment plan.
Above-mentioned human behavior analysis method, wherein when the Behavioral change is locomitivity exception, Xiang Suoshu personnel
Early warning is issued, and arranges corresponding rehabilitation programme.
Above-mentioned human behavior analysis method, wherein the standard movement data generate in the following manner:
The personnel and neighbouring personnel are obtained in the positioning coordinate data of a fourth stage, obtain the personnel and the neighbour
The Social behaviors data of person of modern times person establish social norm, as the standard movement data.
Above-mentioned human behavior analysis method, wherein the motion characteristic data include social time, social personnel and
Social place.
Above-mentioned human behavior analysis method, wherein the standard movement data include social time, social personnel and
Social place.
Above-mentioned human behavior analysis method, wherein the Behavioral change includes no Social behaviors and has a Social behaviors.
Above-mentioned human behavior analysis method, wherein described to there are Social behaviors to include personal Social behaviors and common social activity
Behavior.
Above-mentioned human behavior analysis method, wherein it is described individual Social behaviors and common Social behaviors be divided into it is not at the same level
Other Social behaviors.
Below in conjunction with the drawings and specific embodiments, the present invention will be described in detail, but not as a limitation of the invention.
Detailed description of the invention
Fig. 1 is the flow chart of one embodiment of the invention human behavior analysis method.
Fig. 2 is the flow chart of another embodiment of the present invention human behavior analysis method.
Fig. 3 is the flow chart of further embodiment of this invention human behavior analysis method.
Fig. 4 is the personnel social circle schematic diagram of embodiment according to Fig.3,.
Wherein, appended drawing reference:
100,200,300: human behavior analysis method
S110, S120, S130, S140, S150: step
S210, S220, S230, S240, S250, S260: step
S310, S320, S330, S340, S350, S360, S370: step
1~10: personnel to be analyzed
Specific embodiment
Structural principle and working principle of the invention are described in detail with reference to the accompanying drawing:
Embodiment one
Fig. 1 is the flow chart of one embodiment of the invention human behavior analysis method.As shown in Figure 1, being analyzed in human behavior
In method 100, step S110 is for obtaining positioning coordinate data of the personnel to be analyzed in certain time stage T1.Wherein, when
Between stage T1 may include multiple time interval t1-tn, in the present embodiment by taking n is equal to 3 as an example, but the present invention is not limited thereto.
In addition, positioning coordinate data can be by providing with positioning system or other equipment that can provide personnel's action change in location, example
Such as bracelet, smart phone, smartwatch, the present invention is not limited thereto.
Then, in the step s 120, according to the positioning coordinate data of acquisition, personnel to be analyzed are calculated in time phase T1
Interior motion characteristic data, such as average speed and Mean Time Between Replacement in time interval t1-t3.It needs to illustrate
It is that, when calculating motion characteristic data, some obvious abnormal speed can be screened and be excluded, such as early starting stride and exercise time
Speed excludes most fast/most slow each 5%, usually to obtain the Mean Speed that can be used for for comparing.
Then, in step s 130, the motion characteristic data of personnel is analysed to compared with standard movement data, according to
Variation of the motion characteristic data relative to standard movement data obtains the behavioural characteristic of personnel to be analyzed, such as the average speed of movement
Degree decline, Mean Time Between Replacement increase.By taking table one as an example:
Table one
As shown in Table 1, in continuous 3 time intervals (t1-t3), when the average speed of personnel to be analyzed adds up decline
Rate is more than 10%, and Mean Time Between Replacement accumulates more than 10% or average speed adds up rate of descent and Mean Time Between Replacement
When the sum of accumulating more than 15%, the locomitivity decline of personnel to be analyzed is indicated.Likewise, in continuous 3 time intervals
(t1-t3) in, when the average speed continuous decrease rate of personnel to be analyzed is more than 3%, Mean Time Between Replacement, which continues to increase, is more than
3% or average speed continuous decrease rate and Mean Time Between Replacement when the sum of continuing to increase more than 4.5%, it also illustrates that be analyzed
The locomitivity of personnel declines.It is to judge section alternatively, it is also possible to a time interval, compared to a upper time interval, when
It is more than 5% that the average speed of personnel to be analyzed, which falls rate on a year-on-year basis, and Mean Time Between Replacement increases above 5%, or average speed on year-on-year basis
When the sum of degree falls rate on a year-on-year basis and Mean Time Between Replacement increases on year-on-year basis more than 7.5%, under the locomitivity for indicating personnel to be analyzed
Drop.
As a result, the Behavioral change of personnel to be analyzed, i.e., people to be analyzed can be judged according to the behavioural characteristic of personnel to be analyzed
Whether the locomitivity of member declines.When the decline of the locomitivity of personnel to be analyzed, step S150 can refer to, according to judging result
Early warning is issued to personnel to be analyzed, and arranges corresponding treatment and rehabilitation programme, such as the exercise of muscle performance, balanced capacity adds
It is strong etc..
When the locomitivity of personnel to be analyzed do not decline i.e. Behavioral change be normal behaviour when, please refer to step S140,
The motion characteristic data of time phase T1 is stored, as standard movement data.Alternatively, it is also possible to according to another time rank
Section T2 in positioning coordinate data, standard movement data are calculated, wherein time phase T2 occur time phase T1 it
Before.
Embodiment two
Fig. 2 is the flow chart of another embodiment of the present invention human behavior analysis method.As shown in Fig. 2, in human behavior point
In analysis method 200, step S210 is often stopped between place for obtaining personnel to be analyzed at two, in certain time stage T3
Position coordinate data.Wherein, often stopping place is, for example, dormitory, dining room, supermarket, company etc., can be two, is also possible to more
A, the present embodiment is not limited thereto for two；Time phase T3 may include multiple time point t1-tn, the present embodiment
In by taking n is equal to 10 as an example, but the present invention is not limited thereto.In addition, positioning coordinate data can by with positioning system or its
The equipment that he can provide personnel's action change in location provides, such as bracelet, smart phone, smartwatch etc., the present invention not with
This is limited.Acquired positioning coordinate data is position data of the personnel to be analyzed in time point t1-tn.
Then, in step S220, according to the positioning coordinate data of acquisition, personnel to be analyzed are calculated in time phase T3
Interior motion characteristic data, for example, movement duration in time phase T3, average speed, movement section, interval point and
It has a rest time etc..
Then, in step S230, the motion characteristic data of personnel is analysed to compared with standard movement data, according to
Variation of the motion characteristic data relative to standard movement data obtains the behavioural characteristic of personnel to be analyzed, such as coherent motion rail
Mark, movement section zone of reasonableness, movement velocity variation and intermittent time etc..By taking table two as an example:
Table two
As shown in Table 2, in time phase T3, when the coherent motion track of personnel to be analyzed is deviateed more than 1 time, movement
Zone of reasonableness deviation in section deviates more than the variation of 20%, movement velocity more than 15% and intermittent time deviation is more than ± 30%
When, then judge that lightly departure occurs in the behavior of personnel to be analyzed；When personnel to be analyzed coherent motion track deviate more than 3 times,
Move section zone of reasonableness deviate be more than 30%, movement velocity variation deviate more than 20% and the intermittent time deviation more than ±
When 100%, then judge that severe deviation occurs in the behavior of personnel to be analyzed.In time phase T3, when three of personnel to be analyzed
Or there is lightly departure in above behavioural characteristic, then it is abnormal to may determine that the behavior of personnel to be analyzed occurs；Likewise, when wait divide
There is severe deviation in two or more the behavioural characteristics of analysis personnel, then it is different also to may determine that the behavior of personnel to be analyzed occurs
Often.
Specifically, by taking 4 personnel to be analyzed are in time phase T3, that is, time point t1-t10 as an example, the positioning coordinate of acquisition
Data are as shown in Table 3:
Table three
| Wait divide Analyse people Member | t1 | t2 | t3 | t4 | t5 | t6 | t7 | t8 | t9 | t10 |
| A | X, Y, Z | X+3, Y + 3, Z | X+6, Y + 6, Z | X+9, Y + 9, Z | X+12, Y + 12, Z | X+15, Y + 15, Z | X+15, Y + 15, Z | X+15, Y + 15, Z | X+15, Y + 15, Z | X+15, Y+ 15, Z |
| B | X, Y, Z | X+3, Y + 3, Z | X+6, Y + 6, Z | X+9, Y + 9, Z | X+12, Y + 12, Z | X+15, Y + 15, Z | X+15, Y + 15, Z | X+15, Y + 15, Z | X+15, Y + 15, Z | X+15, Y+ 15, Z |
| C | X, Y, Z | X+3, Y + 3, Z | X, Y, Z | X+3, Y + 3, Z | X, Y, Z | X+3, Y+ 3, Z | X+6, Y+ 6, Z | X+9, Y+ 9, Z | X+12, Y + 12, Z | X+15, Y+ 15, Z |
| D | X, Y, Z | X+3, Y + 3, Z | X+6, Y + 6, Z | X+6, Y + 6, Z | X+6, Y+ 6, Z | X+6, Y+ 6, Z | X+6, Y+ 6, Z | X+9, Y+ 9, Z | X+12, Y + 12, Z | X+15, Y+ 15, Z |
As shown in Table 3, using A, B, C, D as 4 personnel to be analyzed, 4 personnel to be analyzed are obtained respectively in time point
The position data of t1-t10.From the point of view of personnel A, B to be analyzed, since time point t1, it is even that place (X, Y, Z) is often stopped from first
Speed often stops place (X+15, Y+15, Z) towards second and advances, and its track route is canonical path, and coherent motion track is not sent out
Raw to deviate, behavior belongs to normal behaviour.From the point of view of personnel C to be analyzed, on the road that it goes to that second often stops place, Zeng You
It is round-trip after twice, it eventually arrives at second and often stops place, therefore, the track route of personnel C to be analyzed is non-standard route, is linked up
Motion profile deviates, but speed thereafter is that at the uniform velocity standard speed, behavior belongs to lightly departure, is counted as lightly departure one
It is secondary, it need to especially observe, if in specific time, adding up lightly departure and/or severe deviateing more than certain number, two institute of table as above
Show, then it represents that there may be amnesia symptoms by personnel to be analyzed, referring to step S260, issue early warning to personnel C to be analyzed, need to formulate
Look after plan.From the point of view of personnel D to be analyzed, on the road that it goes to that second often stops place, once halfway there is the long period
Stop, the intermittent time is longer, eventually arrives at destination, and behavior belongs to lightly departure, need to especially observe, such as without other factors
It influences or above situation persistently occurs, then there may be the symptoms such as be short of physical strength, indicate that personnel D locomitivity to be analyzed is degenerated,
Then referring again to step S260, early warning is issued to personnel D to be analyzed, rehabilitation programme need to be formulated.
In the present embodiment, standard movement data are obtained by step S240.It chooses personnel to be analyzed and often stops ground at 2
Between point, it is normal to establish movement for movement duration, average speed, movement section, interval point and intermittent time in Conventional Time etc.
Mould, as standard movement data.
Step S250 is please referred to, by time phase T3 when Behavioral change is normal behaviour for personnel A, B to be analyzed
Motion characteristic data storage, as standard movement data.
Embodiment three
Fig. 3 is the flow chart of further embodiment of this invention human behavior analysis method.As shown in figure 3, in human behavior point
In analysis method 300, step S310 is for obtaining positioning coordinate data of multiple personnel to be analyzed in certain time stage T4.Its
In, time phase T4 may include multiple time point t1-tn, in the present embodiment by taking n is equal to 8 as an example, but the present invention not as
Limit.In addition, positioning coordinate data can by with positioning system or other can provide personnel's action change in location equipment offer,
Such as bracelet, smart phone, smartwatch etc., the present invention is not limited thereto.Acquired positioning coordinate data is to be analyzed
Position data of the personnel in time point t1-tn.
Then, in step s 320, according to the positioning coordinate data of acquisition, personnel to be analyzed are calculated in time phase T4
Interior motion characteristic data, such as social time, social personnel and social place in time phase T4 etc..
Then, in step S330, the motion characteristic data of personnel is analysed to compared with standard movement data, according to
Variation of the motion characteristic data relative to standard movement data, obtain the behavioural characteristic of personnel to be analyzed, such as personnel's distance with
And residence time etc..By taking table four as an example:
Table four
As shown in Table 4, in time phase T4, when the residence time of personnel to be analyzed being less than 5s, then it represents that be analyzed
It is equally indicated between personnel to be analyzed there is no Social behaviors when the distance between personnel to be analyzed are more than 5 meters between personnel
There is no Social behaviors.Only when personnel to be analyzed stay for some time and the distance between personnel to be analyzed are closer, then table
Show that there are Social behaviors between personnel to be analyzed.The residence time of specific Social behaviors grade and personnel to be analyzed, personnel away from
Relationship between is as shown in Table 4.Wherein, level-one indicates simply to be talked between personnel to be analyzed, such as greets；
Second level indicates simply to be chatted between personnel to be analyzed, gas of such as chatting, messes etc.；Three-level indicate between personnel to be analyzed into
The exchange and conmmunication of row relatively deep.
Specifically, by taking 4 personnel to be analyzed are in time phase T4, that is, time point t1-t8 as an example, the positioning coordinate of acquisition
Data are as shown in Table 5:
Table five
| Personnel to be analyzed | t1 | t2 | t3 | t4 | t5 | t6 | t7 | t8 |
| A | X,Y,Z | X+5, Y, Z | X+10, Y, Z | X+15, Y, Z | X+20, Y, Z | X+25, Y, Z | X+30, Y, Z | X+35, Y, Z |
| B | X, Y, Z | X, Y, Z | X,Y,Z | X,Y,Z | X,Y,Z | X,Y,Z | X,Y+5,Z | X,Y+10,Z |
| C | X,Y,Z | X,Y,Z | X,Y,Z | X,Y,Z | X,Y,Z | X,Y,Z | X+3,Y+3,Z | X+6,Y+6,Z |
| D | X,Y,Z | X,Y,Z | X,Y,Z | X,Y,Z | X,Y,Z | X,Y,Z | X+3, Y+3, Z | X+6, Y+6, Z |
As shown in Table 5, using A, B, C, D as 4 personnel to be analyzed, 4 personnel to be analyzed are obtained respectively in time point
The position data of t1-t8, t1-t8 is as unit of minute.From the point of view of personnel B, C, D to be analyzed, from time point t1 to time point t6,
Personnel B, C, D to be analyzed rest on identical place, and the distance between they are less than 1 meter, and the residence time is more than 3 minutes,
Therefore, it is possible to judge that reaching three-level Social behaviors between personnel to be analyzed.In time phase T4, personnel A to be analyzed is always
It at the uniform velocity to move in the same direction, does not stop, does not reach Social behaviors between B, C, D between personnel to be analyzed.
Alternatively, it is also possible to use the joint activity region between same time phase personnel to be analyzed to determine whether reaching
The grade of Social behaviors and Social behaviors.When personnel to be analyzed participate in a certain item activity in same time phase jointly,
It can be assumed that reaching Social behaviors between personnel to be analyzed, the grade of Social behaviors is determined by event organizer.For example, to
It attends class, attend a lecture as level-one jointly between analysis personnel, having square dance, social dancing, informal discussion of interaction etc. is second level, etc..
In the present embodiment, standard movement data are obtained by step S340.Personnel to be analyzed are collected in certain period of time
Corresponding Social behaviors norm is established, as standard movement data in the time of interior each Social behaviors, personnel, place etc..
Step S350 is please referred in such as reaching Social behaviors in time phase T4 for personnel to be analyzed, by time rank
The motion characteristic data storage of section T4, as standard movement data.
Finally, step S360 is please referred to, it can also be with the motion characteristic data in time phase T4, to the society of personnel to be analyzed
Bank of Communications is to be analyzed, and draws social circle's schematic diagram of personnel to be analyzed.Fig. 4 is that the personnel of embodiment according to Fig.3, are social
Enclose schematic diagram.As shown in figure 4, there is Social behaviors between personnel 1~7,9,10, and personnel 8 and other people between have no
Social behaviors.
As for a long time between other people without Social behaviors, then referring to step S370, early warning need to be issued to personnel to be analyzed, such as
It is necessary to also need to formulate rehabilitation programme.
Human behavior analysis method of the invention can obtain personnel's personal behavior and social row based on location data as a result,
For analysis and anticipation, and then the trend of individual sports average speed and intermittent time is analyzed, to judge personal row
Whether kinetic force, movement section, interval point and intermittent time change, to do targetedly treatment and rehabilitation programme.
Certainly, the present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, ripe
It knows those skilled in the art and makes various corresponding changes and modifications, but these corresponding changes and change in accordance with the present invention
Shape all should fall within the scope of protection of the appended claims of the present invention.
Claims (20)
1. a kind of human behavior analysis method, which comprises the following steps:
Acquisition personnel are in the positioning coordinate data of a first stage；
According to the positioning coordinate data, the personnel are calculated in the motion characteristic data in the first stage；
The motion characteristic data is compared with a standard movement data, analyzes the behavioural characteristic of the personnel；
According to the behavioural characteristic, the Behavioral change of the personnel is judged.
2. human behavior analysis method according to claim 1, which is characterized in that the standard movement data pass through following
Mode generates:
The personnel are obtained in the positioning coordinate data of a second stage, according to the positioning number of coordinates of the second stage
According to the standard movement data are calculated.
3. human behavior analysis method according to claim 2, which is characterized in that the second stage is earlier than described first
Stage.
4. human behavior analysis method according to claim 3, which is characterized in that the Behavioral change includes normal behaviour
And locomitivity is abnormal.
5. human behavior analysis method according to claim 4, which is characterized in that when the Behavioral change is normal behaviour
When, the motion characteristic data of the first stage is stored, the standard movement data as next stage.
6. human behavior analysis method according to claim 4, which is characterized in that when the Behavioral change is locomitivity
When abnormal, Xiang Suoshu personnel issue early warning, and arrange corresponding treatment and rehabilitation programme.
7. human behavior analysis method according to claim 1, which is characterized in that the motion characteristic data includes average
Speed and equispaced.
8. human behavior analysis method according to claim 1, which is characterized in that the standard movement data pass through following
Mode generates:
The more than two normal stop places of the personnel are chosen, obtain the personnel in a phase III in the normal stop place
Between regular motion data, establish movement norm, as the standard movement data.
9. human behavior analysis method according to claim 8, which is characterized in that the motion characteristic data includes movement
Duration, average speed, movement section, interval point and intermittent time.
10. human behavior analysis method according to claim 9, which is characterized in that the standard movement data include fortune
Dynamic duration, average speed, movement section, interval point and intermittent time.
11. human behavior analysis method according to claim 10, which is characterized in that the Behavioral change includes normal row
Deviate for, route and locomitivity is abnormal.
12. human behavior analysis method according to claim 11, which is characterized in that when the Behavioral change is normal row
For when, store the motion characteristic data of the first stage.
13. human behavior analysis method according to claim 11, which is characterized in that when the Behavioral change is that route is inclined
From when, Xiang Suoshu personnel issue early warning, and arrange corresponding treatment plan.
14. human behavior analysis method according to claim 11, which is characterized in that when the Behavioral change is movement energy
When power exception, Xiang Suoshu personnel issue early warning, and arrange corresponding rehabilitation programme.
15. human behavior analysis method according to claim 1, which is characterized in that the standard movement data by with
Under type generates:
The personnel and neighbouring personnel are obtained in the positioning coordinate data of a fourth stage, obtain the personnel and the neighbouring people
The Social behaviors data of member establish social norm, as the standard movement data.
16. human behavior analysis method according to claim 15, which is characterized in that the motion characteristic data includes society
Hand over time, social personnel and social place.
17. human behavior analysis method according to claim 16, which is characterized in that the standard movement data include society
Hand over time, social personnel and social place.
18. human behavior analysis method according to claim 10, which is characterized in that the Behavioral change includes no social activity
Behavior and there are Social behaviors.
19. human behavior analysis method according to claim 18, which is characterized in that described to there are Social behaviors to include individual
Social behaviors and common Social behaviors.
20. human behavior analysis method according to claim 19, which is characterized in that individual's Social behaviors and common
Social behaviors are divided into the Social behaviors of different stage.
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|---|---|
| TWI781363B (en) | 2022-10-21 |
| TW202103182A (en) | 2021-01-16 |
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Application publication date: 20191008 |