CN107770592A - Motion state of mobile terminal detection method in mobile video playing process - Google Patents
Motion state of mobile terminal detection method in mobile video playing process Download PDFInfo
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
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Abstract
The motion state detection method of customer mobile terminal belongs to user movement state inspection field in mobile video playing process, is realized in the user movement collectively constituted by terminal, base station and server a state obtaining system.It is characterized in that, in the terminal except the acquisition process memory module of setting acceleration and gps data, also set up video playout speed class adjusting module, adjust frame phenomenon of breaking caused by terminal shake, also set up mobile video and play fault alarm module, writing to each other for base station and user is established, obtains service experience and solution of the user to failure.Mobile video fault-signal processing module is set in a base station, solves Caton phenomenon.User authentication, the identification of application request legitimacy are set in the server, specify user movement state tracking module, to movement locus of the monitoring designated terminal user in video display process in real time.The present invention meets the needs of terminal user and relevant department tracking special user track simultaneously.
Description
Technical field
The present invention relates to motion state detection field, in particular in a kind of playing process towards mobile video
The detection method of motion state of mobile terminal.The present invention, according to mobile terminal, during video is played, the acceleration that is gathered
Degree count with GPS (global positioning system, Global Positioning System) data, detected using statistical method
Motion state (including dither state and speed state) with estimating mobile terminal, and then be the user of identification hand-held mobile terminal
Motion state provides scientific basis.
Background technology
According to the newest industry analysis report display of China's Industry Information Network in 2017, by December, 2016：(1) China netizen
95.1% is risen to using the ratio of mobile terminal Internet access；(2) netizen passes through non-Residential environments (such as unit, school, public place of entertainment
Institute) online ratio it is in rising trend compared with former years；(3) 2016 years, the online duration per capita of Chinese netizen was 26.4 hours/week；(4)
Mobile netizen commonly using five class APP (instant messaging, network direct broadcasting, microblogging social, comprehensive electric business and Comprehensive Data) in,
There are four small peaks of use at 13 points, 19 points, 22 points and 0 point respectively in network direct broadcasting class APP.Further analysis report can be seen
Go out, mobile video has become one of most commonly used business of mobile subscriber.Cisco VNI is also predicted, to the year two thousand twenty, video
The 82% of total IP flows will be accounted for, the flow of wireless and mobile device generation will account for 2/3rds of total internet traffic.
At the same time, when user enjoys Video service using mobile terminal device in a mobile environment, inevitably
Due to the characteristic of mobile context so as to influence the Video service of user experience.Specifically, when mobile device is static user to regarding
The perception of frequency be it is most strong, and mobile device in space exist shake etc. state when, details of the user to video playback
Capturing ability is decreased obviously.So if it can be detected in real time by mobile terminal device and the motion state of assessment equipment (bag
Include dither state and speed state), if solution can be found to improve perception of the user to mobile video, then
Lift Video service Quality of experience.
From the above mentioned, accurately motion state of the detection mobile device in video playback has more great meaning with answering
With, therefore the motion state of mobile terminal detection method in mobile video playing process is highlighted herein.
At present, several representational mobile terminal state appraisal procedures and problem to be present as follows：
(1) patent [application publication number：The A of CN 106510720, the reminding method and device of a kind of User Status]：According to
The GPS module of mobile terminal detects the location of terminal information.Only GPS parameters can only detect the displacement of mobile terminal
Information, it is not enough to represent the motion state of mobile terminal, is more not enough to represent User Status.
(2) patent [application publication number：The A of CN 106131792, user movement state monitoring method and device]：According to end
The current angular velocity data and current acceleration data at end, the current motion state parameter value of terminal is determined, obtain working as terminal
Preceding motion state parameterses desired value meets pre- in current motion state parameter desired value and the difference of current motion state parameter value
If during condition, it is determined that the user for holding terminal is currently at target state.Difficult point in the patented method practical application exists
It is excessively subjective or inaccurate in setting up for preparatory condition, and the accuracy of this motion state for directly affecting detection terminal, enter
And influence the detection accuracy of User Status.
(3) patent [application publication number：The A of CN 105224104, pedestrian movement's state based on smart mobile phone grip mode
Recognition methods]：The acceleration transducer data gathered according to mobile terminal, using the SVMs based on Radial basis kernel function
Method detects the motion state with estimation mobile terminal, and then estimates pedestrian's User Status of hand-held intelligent mobile phone mode.Should
Method, the mapping relations between data input and data output can not be captured well, it is relatively adapted to find optimum segmentation
Face problem, be not suitable for nonlinear mobile terminal state detection during mobile video play service.
And the content of the discussions of this patent includes, introduce and how from the state of customer mobile terminal to obtain the motion of terminal user
State, discuss how from the motion state of user come obtain user video display process in experience and fault resolution,
And the tracking of the detection and User Status user movement state links together.
The content of the invention
Goal of the invention：Obtain motion state of the user in mobile video playing process
It is a feature of the present invention that it is that a kind of motion state parameterses by means of detecting customer mobile terminal obtain movement
The method of terminal user's motion state, it is by customer mobile terminal abbreviation terminal, base station and mobile communication backbone network clothes at one
Business device abbreviation server, mobile terminal user's motion state that three collectively constitutes obtain system, hereinafter referred to as in system successively
Realize according to the following steps：
Step (1):System initialization
Step (1.1)：Terminal initialization：
Terminal acceleration analysis part, controlled by acceleration transducer, acceleration information acquisition process memory module and output
Molding block is in series, and the input data of described acceleration information acquisition process memory module is acceleration information, exports number
According to for chattering frequency and jitter mode, and output control module sets up wireless output control signal input, output control manually
The output end of signal input part processed, chattering frequency and jitter mode,
Gps data processing component, it is in series by a gps data processing, memory module and output control module, it is described
Output control module be provided with wireless output control signal input and manual output control signal input,
Define the Three models of terminal dither state：Inactive state, slight jitter and acutely shake, wherein：
Inactive state：Shake number C1 per minute<=1,
Slight jitter：1<Shake number C2 per minute<=C2.max, C2.max=47,
Acutely shake：C2.max<Shake number C3 per minute<C3.max, C3.max=120,
Define terminal velocity state, thousand ms/h of unit:Bicycle (10~15), electric car (15~30), motorcycle
(20~80), subway (40~80), automobile (30~150), train (150~200), high ferro (more than 200),
Thus the motion state of terminal user is obtained, is divided into following five kinds of motor patterns：
Inactive state：0km/h,
Ambulatory position：1~10km/h,
Riding condition：10~30km/h,
Low speed trip state：30~150km/h,
Trip state at a high speed：>150km/h,
Video playout speed class adjusting module, the specified broadcasting speed for setting mobile video are numerically equal to mid ranger
Secondary intermediate value speed, video playout speed adjustment by built-in there is comprising at least for regulation broadcasting speed function to have
Player including KMplayer, BSplayer is simultaneously realized with manual fine-tuning again, realizes video playback speed according to the following steps successively
The adjustment of degree：
1) acceleration value during disconnected frame is integrated to obtain terminal movement velocity during disconnected frame,
2) judge terminal movement velocity during disconnected frame be in middling speed class, or at a high speed or in low speed class,
If 3) fall in high speed class, specified broadcasting speed is improved to the minimum speed of high speed class, if falling low
In fast class, then specified broadcasting speed is reduced to the maximal rate of low speed class, if falling in middling speed class, if more than specified
Speed, then fine setting improves normal speed, if being less than normal speed, fine setting reduces normal speed, and then manually fine setting is straight
Untill mobile terminal user is satisfied with,
Mobile video plays fault alarm module, provided with following array：[authenticating user identification code, user mobile phone number, user
Name, user address, carve at the beginning of corresponding failure, the end time of corresponding failure, the number that failure occurs], and this
Array is output to base station,
Step (1.2)：Base station initialization：Setting network communication module is realized to be interconnected with server, sets mobile video event
Hinder signal processing module, its output end is connected with the input of described network communication module, in input and the terminal
The output end that mobile video plays fault alarm module is connected,
Step (1.3)：Server initiation：Provided with authenticating user identification module, user applies for that request legitimacy assert mould
Block and the motion state trace signals output module of specified mobile terminal user, three are sequentially connected in series,
Step (2):System realizes the acquisition of user movement state according to the following steps successively：
Step (2.1)：Base station differentiates the type of input signal,
Step (2.1.1)：The motion state trace signals of the designated terminal user sent if server, successively by following
Step is carried out,
Step (2.1.1.1)：Differentiate that server designated terminal user is current whether in the range of this base station communication：If no
In, then return to step (2.1.1), if, open respectively server specify it is defeated in the acceleration analysis part of user terminal
The output control module gone out in control module and gps data processing component,
Step (2.1.1.2)：From the mobile terminal acceleration acquisition process memory module and gps data processing module
Obtained in the result of output each motion state residing for the user represented in mobile video playing process with time order and function when
Section, its corresponding GPS location coordinate section and the vehicles that may be taken,
Step (2.1.1.3)：The above results are uploaded onto the server by the network communication module of base station,
Step (2.1.1.4)：Server carries out authenticating user identification, and differentiation is that criminal investigation department user or civil department are used
Family, if criminal investigation department user, then law enforcement agency of public security organs is sent to, if civil department user, is then sent to civil law enforcement
Part or civil service department,
Step (2.1.2)：If user video fault-signal, perform according to the following steps successively,
Step (2.1.2.1)：According to the array uploaded in video playback fault alarm module in terminal, body is carried out to user
Part certification：If not by program determination；If by, respectively open customer mobile terminal acceleration analysis part
In output control module and gps data processing component in output control module,
Step (2.1.2.2)：In the result exported from acceleration acquisition process memory module and gps data processing module,
Obtain different events under the terminal chattering frequency of the time-varying of terminal, jitter mode and each malfunction in mobile video playing process
Hinder beginning and the end time of period,
Step (2.1.2.3)：Discriminating fault types,
Step (2.1.2.3.1)：Disconnected frame failure, integrates to obtain each motion of terminal from the acceleration information at each disconnected frame moment
Speed,
Step (2.1.2.3.1.1)：Judge that the movement velocity of terminal falls in low speed, middling speed or high speed class,
Step (2.1.2.3.1.1.1)：Broadcasting speed is improved to high speed class in high speed class, regulation player if falling
Minimum speed,
Step (2.1.2.3.1.1.2)：If fall in middling speed class, motion of the fine setting player speed close to present terminal
Speed,
Step (2.1.2.3.1.1.3)：If fall reduces broadcasting speed to low speed class in low speed class, regulation player
Maximal rate,
Step (2.1.2.3.1.2)：Broadcasting speed is adjusted repeatedly manually, until broadcasting speed is adjusted to mobile terminal user
Untill satisfaction,
Step (2.1.2.3.2)：Interim card failure, the duration of each interim card period in mobile video playing process is found out,
Step (2.1.2.3.2.1)：The interim card duration of maximum, max (Δ t are found out from each interim card periodk), Δ t is represented
The duration of interim card,
K represents the sequence number that interim card occurs, and k=1,2 ..., K, K is interim card total degree,
Step (2.1.2.3.2.2)：Judge max (Δ tk) whether it is more than interim card limiting value tmax, make tK max=375ms, its
In above 75ms represent that retina signal is delivered to the corticocerebral time, middle 200ms is used at corticocerebral deep processing
Reason, the transmission and expression of rear 100ms user's brain decision-making,
Step (2.1.2.3.2.2.1)：If it is not, then terminate,
Step (2.1.2.3.2.2.2)：If so, then base station eliminates the hardware fault for producing interim card, and go to step
(2.1.2.3.2.2), until max (Δ tk)<tK maxUntill.
The advantage of the invention is that obtain the motion state of terminal user from the state of customer mobile terminal, discuss how from
The motion state of user obtains the experience in the video display process of user and fault resolution, and user movement state
Detection and the trajectory track of user movement state link together.
Brief description of the drawings
Fig. 1：The main program flow block diagram of the present invention.
Fig. 2：Dither state testing process block diagram.
Fig. 3：The schematic block diagram of user movement state period.
Fig. 4：Speed state testing process block diagram.
Embodiment
Shown in Fig. 2, the implementing procedure of dither state detection is as follows：
The definition of step (1) dither state patterns：Inactive state, acutely slight jitter, shake.
Step (1.1) finds a series of testers for meeting test request, including juvenile (7 years old~17 years old), young
(18 years old~40 years old), middle aged (41 years old~65 years old), the elderly is each 3 (after 66 years old).
Step (1.2) requires its handhold mobile terminal equipment, carries out the jitter test of lasting one minute, most start according to
It is per minute 10 times shake, then every time test lifting 10 times/it is per minute, until be promoted to 100 times/it is per minute untill, test it
Between 5 minute time of having a rest was set.
Step (1.3) feeds back according to the tester of different age group, and statistical test personnel feel tired in test process
The shake number of labor, the threshold value for taking its average value to be shaken as slight jitter and acutely.
Step (1.4) completes the definition of jitter mode：Still-mode (shake number per minute is less than 1 time), slight jitter
Pattern (shake number per minute is more than 1 time, less than 47 times), acutely shakes (shake number per minute is more than 47 times).
Step (2) acceleration informations gather：User clicks on and commences play out video button, video jukebox software front-end interface
Can be to the video that user's displaying is playing.Meanwhile software backstage starts to gather acceleration information, comprises the following steps that：
Step (2.1) softwares backstage detects whether to have already turned on collection sub-line journey program, if it is not, creating newly
Collection sub-line journey program starts background acquisition acceleration information.
Step (2.2) is during software plays video, and backstage is respectively with specified sampling time interval TaAdopt within=0.1 second
Collect mobile terminal in sampling instant t=nTa, n ∈ { 0,1,2 ... } acceleration information, and by its by " timestamp, x-axis, y-axis,
Z-axis " form, which is written to, is stored in mobile terminal, and until video playback terminates, including video normal termination and user artificially terminate
Video.Specifically, in the matrix form in the range of output data acquisition time mobile terminal accelerometer data time series, Wherein N is the number of sampled point,
T is taken under default situationsa=0.1 second, N value was determined by the data acquisition time T of reality,And under default situations
There should be T >=60 second.
For step (2.3) if video playbacks terminate, software backstage should terminate corresponding collection sub-line journey program immediately.
Step (3) validity checks：Data in the text of current record are carried out with validity check, main inspection
Whether whether measuring acceleration data are in effective range, and have and the problem of equipment produces such as can not record, can if occurring
The reason for directly giving up and producing log recording error.
The processing of step (4) data predictions：Packet by the accelerometer data A collected by every five seconds for example, altogether N/50
Group data, every group of data are used for the dither state S for analyzing every five seconds for exampled.I.e. data are divided into And it is each acceleration information matrix anInitially
Change the three-dimensional initial velocity vector that a numerical value is 0With the three-dimensional position skew that a numerical value is 0
Vector
Step (5) is for each group of data anLagrange's interpolation operation is carried out, this operation is to anIn matrix it is each arrange to
Measure all, below with x-axis acceleration information (first row) for example.It is specific as follows：
To (an)x=[ax50×(n-1) ax50×(n-1)+1 … ax50×n] data vector carries out simplifying description：X=[x0 x1 …
x50].This 51 data are carried out with piecewise interpolation successively, 50 interpolation are amounted to, wherein [x0 x1] between interpolation inserted using linear
Value method, i.e.,
xp=x0+t·x1,0<t<1
Then to [x1 x50] between data enter row interpolation, amount to 49 Lagrange's interpolations.For every section of interpolation [xn
xn+1] (n=1,2,3 ... 49), construct following Interpolation-Radix-Function, Lagrangian fundamental polynomials：
Then interpolating function can be obtained：
xt=xn-1l1(t)+xnl2(t)+xn+1l3(t) (n<t<n+1)
Obtain continuous acceleration information
an=[fx(t),fy(t),fz(t)],(0<t<50, unit：0.1s).
Wherein
Similarly fyAnd f (t)z(t) can be tried to achieve according to same step.
Step (6) is to a after interpolationnIntegrated, try to achieve the speed v at each moment in 5 secondsn.Concrete operations are such as
Under：
vn=[gx(t),gy(t),gz(t)]
Wherein (t unit：Second, g (t) unit：Meter per second)
Then the speed of this group of last moment is entered as to the initial velocity of next group of data, i.e.,：
Step (7) integrates to speed, tries to achieve the displacement bias amount d at each moment in 5 secondsn.Concrete operations are as follows：
dn=[hx(t),hy(t),hz(t)]
Wherein (t unit：Second, h (t) unit：Rice)
Then the position offset of this group of last moment is entered as to the initial position offset of next group of data, i.e.,：
Step (8) is to position offset dnThe number of its zero crossing is sought, takes x, the offset zero crossing in tri- directions of y, z
The most vibrations number as mobile terminal in this 5 seconds of number.Concrete operations are as follows：
Ask
The number of three solution of equations, it is not anti-to be set to mx,my,mz, then this group of acceleration information finally try to achieve in this 5 seconds
Shake number mnFor：
mn=max { mx,my,mz}
Then chattering frequency fdFor：
fd=12mn, unit：Beat/min
Then according to fdTo judge dither state Sd.That is input acceleration matrix an, export as dither state:
[fd,Sd]
Wherein fdRepresent vibration frequency, i.e., the number of shake per minute；SdRepresent that (0 represents inactive state, 1 table to dither state
Show slight jitter, 2 represent acutely shake).
Step (9) is to each acceleration submatrix a for being grouped to obtain from acceleration matrix An, carry out step 5,6,7,
8, you can to obtain chronological dither state sequence：
[fd,Sd]1, [fd,Sd]2..., [fd,Sd]N/50
If necessary to count dither state overall in whole video display process, the ratio of each dither state can be taken,
It is or average.
The implementing procedure of speed state detection is as follows：
Shown in Fig. 4, it is speed state overhaul flow chart, comprises the following steps that：
The definition of step (1) speed state patterns：Inactive state, ambulatory position, riding condition, at a high speed slow traffic, friendship
It is logical.
Speed is divided into five scopes, each scope corresponding one by step (1.1) according to the speed of all kinds of vehicles
Kind or a variety of most possible vehicles.
(unit is unified for the typical rate of step (1.2) act vehicles of common：Thousand ms/h)：Bicycle (10~
15), electric car (15~30), motorcycle (20~80), subway (40~80), automobile (30~150), train (>150).
Step (1.3) is overlapping because the velocity band of the part vehicles has, and can not directly be divided according to speed, we
Suitable point on the basis of watching video is considered whether, speed state is divided into following four state：Inactive state (0km/h), is walked
Dynamic state (1~10km/h), riding condition (10~30km/h), slow traffic (30~150km/h), high-speed transit (>150km/
h)。
Step (2) .GPS data acquisitions：Click commences play out video button, and software front-end interface can be shown to user
The video of broadcasting.Meanwhile software backstage starts to gather acceleration and gps data, comprises the following steps that：
Step (2.1) softwares backstage detects whether to have already turned on collection sub-line journey program, if it is not, creating newly
Collection sub-line journey program starts background acquisition acceleration and gps data.
Step (2.2) is during software plays video, and software backstage is respectively with specified sampling time interval Tp=5 seconds
Mobile terminal is gathered in sampling instant t=nTp, n ∈ { 0,1,2 ... } gps data, and by its respectively by " timestamp, longitude,
Latitude " form is written to storage in the terminal, and until video playback terminates, (including video normal termination and user artificially tie
Beam video).
For step (2.3) if video playbacks terminate, software backstage should terminate corresponding collection sub-line journey program immediately.
Step (3) validity checks：Data in the text of current record are carried out with validity check, main inspection
Gps data is surveyed whether in effective range, and whether has and the problem of equipment produces such as can not record, can be straight if occurring
Connect the reason for giving up and produce log recording error.
Step (4) data predictions：In the matrix form in the range of output data acquisition time mobile terminal gps data
Time series, P= Wherein M be sampled point number, default situations
Under take Tp=10 seconds, M value was determined by the data acquisition time T of reality,And should have under default situations T >=
60 seconds.
Step (5) is calculated per TpThe average speed of mobile terminal in=5 seconds, specific calculating operation are as follows：
Gathered because the GPS collected counts by 5 seconds, therefore matrix P need not be grouped again, and in view of in 5 seconds
The GPS location change of user will not be excessively complicated, can be approximately considered in linear uniform motion, so can be in the hope of in 5 seconds
Point-to-point speed of the average speed as terminal device, directly by
The speed of mobile device is calculated, wherein R is earth radius.I.e. by GPS matrix P, what is directly calculated is flat
Equal speed V, then according to fdTo judge speed state Sv.Gps data p is inputted, is exported as dither state:
[V,Sv]
Wherein V represents the average speed in 5 seconds；SvExpression speed state (0 expression inactive state, 1 expression ambulatory position, 2
Riding condition is represented, 3 represent slow traffic, and 4 represent high-speed transit).
Step (6) is to the data [px in each P from GPS matrixesn-1 pyn-1 pxn pyn], carry out step 5, you can with
Obtain chronological dither state sequence：
[V,Sv]1, [V, Sv]2..., [V, Sv]M
If necessary to count speed state overall in whole video display process, the ratio of each speed state can be taken,
Or it is average, while the vehicles that user is taken, schematic diagram such as Fig. 3 can also be estimated according to speed state.
Claims (2)
1. the motion state detection method of customer mobile terminal in mobile video playing process, it is characterised in that be it is a kind of by
Obtain the method for mobile terminal user's motion state in the motion state parameterses of detection customer mobile terminal, be one by with
Family mobile terminal abbreviation terminal, base station and mobile communication backbone's network server abbreviation server, the mobile end that three collectively constitutes
End subscriber motion state obtains system, is hereinafter referred to as realized according to the following steps successively in system：
Step (1):System initialization
Step (1.1)：Terminal initialization：
Terminal acceleration analysis part, by acceleration transducer, acceleration information acquisition process memory module and output control mould
Block is in series, and the input data of described acceleration information acquisition process memory module is acceleration information, and output data is
Chattering frequency and jitter mode, and output control module sets up wireless output control signal input, manual output control letter
The output end of number input, chattering frequency and jitter mode,
Gps data processing component, in series by a gps data processing, memory module and output control module, described is defeated
Go out control module and be provided with wireless output control signal input and manual output control signal input,
Define the Three models of terminal dither state：Inactive state, slight jitter and acutely shake, wherein：
Inactive state：Shake number C1 per minute<=1,
Slight jitter：1<Shake number C2 per minute<=C2.max, C2.max=47,
Acutely shake：C2.max<Shake number C3 per minute<C3.max, C3.max=120,
Define terminal velocity state, thousand ms/h of unit:Bicycle (10~15), electric car (15~30), motorcycle (20~
80), subway (40~80), automobile (30~150), train (150~200), high ferro (more than 200),
Thus the motion state of terminal user is obtained, is divided into following five kinds of motor patterns：
Video playout speed class adjusting module, the specified broadcasting speed for setting mobile video are numerically equal to middling speed class
Intermediate value speed, video playout speed adjustment by built-in there is comprising at least for regulation broadcasting speed function to have KMplayer,
Player including BSplayer is simultaneously realized with manual fine-tuning again, realizes the adjustment of video playout speed according to the following steps successively：
1) acceleration value during disconnected frame is integrated to obtain terminal movement velocity during disconnected frame,
2) judge terminal movement velocity during disconnected frame be in middling speed class, or at a high speed or in low speed class,
If 3) fall in high speed class, specified broadcasting speed is improved to the minimum speed of high speed class, if falling in low or first gear
In secondary, then specified broadcasting speed is reduced to the maximal rate of low speed class, if falling in middling speed class, if being more than specified speed
Degree, then fine setting improve normal speed, if being less than normal speed, fine setting reduction normal speed, then manually finely tune until
Untill mobile terminal user is satisfied with,
Mobile video plays fault alarm module, provided with following array：[authenticating user identification code, user mobile phone number, user's surname
Name, user address, carve at the beginning of corresponding failure, the end time of corresponding failure, the number that failure occurs], and this number
Group is output to base station,
Step (1.2)：Base station initialization：Set network communication module to realize to interconnect with server, mobile video failure letter is set
Number processing module, its output end are connected with the input of described network communication module, input and the movement in the terminal
The output end of video playback fault alarm module is connected,
Step (1.3)：Server initiation：Provided with authenticating user identification module, user apply request legitimacy assert module and
The motion state trace signals output module of mobile terminal user is specified, three is sequentially connected in series,
Step (2):System realizes the acquisition of user movement state according to the following steps successively：
Step (2.1)：Base station differentiates the type of input signal,
Step (2.1.1)：The motion state trace signals of the designated terminal user sent if server, successively according to the following steps
Carry out,
Step (2.1.1.1)：Differentiate that server designated terminal user is current whether in the range of this base station communication：If not existing,
Return to step (2.1.1), if opening the output control in the acceleration analysis part of the specified user terminal of server respectively
Output control module in module and gps data processing component,
Step (2.1.1.2)：Exported from the mobile terminal acceleration acquisition process memory module with gps data processing module
Result in obtain each motion state residing for the user represented in mobile video playing process with time order and function period, its
Corresponding GPS location coordinate section and the vehicles that may be taken,
Step (2.1.1.3)：The above results are uploaded onto the server by the network communication module of base station,
Step (2.1.1.4)：Server carries out authenticating user identification, and differentiation is criminal investigation department user or civil department user,
If criminal investigation department user, being then sent to law enforcement agency of public security organs, if civil department user, then civil law enforcement part is sent to
Or civil service department,
Step (2.1.2)：If user video fault-signal, perform according to the following steps successively,
Step (2.1.2.1)：According to the array uploaded in video playback fault alarm module in terminal, identity is carried out to user and recognized
Card：If not by program determination；If by the acceleration analysis part for opening customer mobile terminal respectively
Output control module in output control module and gps data processing component,
Step (2.1.2.2)：In the result exported from acceleration acquisition process memory module and gps data processing module, obtain
In mobile video playing process under the terminal chattering frequency of the time-varying of terminal, jitter mode and each malfunction during different faults
The beginning of section and end time,
Step (2.1.2.3)：Discriminating fault types,
Step (2.1.2.3.1)：Disconnected frame failure, integrate to obtain each motion speed of terminal from the acceleration information at each disconnected frame moment
Degree,
Step (2.1.2.3.1.1)：Judge that the movement velocity of terminal falls in low speed, middling speed or high speed class,
Step (2.1.2.3.1.1.1)：If falling in high speed class, regulation player improves broadcasting speed to high speed class most
Small speed,
Step (2.1.2.3.1.1.2)：If fall in middling speed class, motion speed of the fine setting player speed close to present terminal
Degree,
Step (2.1.2.3.1.1.3)：If falling in low speed class, regulation player reduces broadcasting speed to low speed class most
Big speed,
Step (2.1.2.3.1.2)：Broadcasting speed is adjusted repeatedly manually, is satisfied with until broadcasting speed is adjusted to mobile terminal user
Untill,
Step (2.1.2.3.2)：Interim card failure, the duration of each interim card period in mobile video playing process is found out,
Step (2.1.2.3.2.1)：The interim card duration of maximum, max (Δ t are found out from each interim card periodk), Δ t represents a secondary card
The duration to pause, k represent the sequence number that interim card occurs, and k=1,2 ..., K, K is interim card total degree,
Step (2.1.2.3.2.2)：Judge max (Δ tk) whether it is more than interim card limiting value tmax, make tK max=375ms, wherein before
Face 75ms represents that retina signal is delivered to the corticocerebral time, and middle 200ms is handled for corticocerebral deep processing, after
The transmission and expression of 100ms user's brain decision-making,
Step (2.1.2.3.2.2.1)：If it is not, then terminate,
Step (2.1.2.3.2.2.2)：If so, then base station eliminates the hardware fault for producing interim card, and go to step
(2.1.2.3.2.2), until max (Δ tk)<tK maxUntill.
2. the motion state detection method of customer mobile terminal in mobile video playing process according to claim 1, its
It is characterised by, the calculating of customer mobile terminal dither state is realized according to the following steps successively：
Step (1):The definition of dither state pattern：Inactive state, acutely slight jitter, shake,
Step (1.1) finds a series of testers for meeting test request, includes the teenager of 7 years old~17 years old, 18 years old~40 years old
Youth, the middle age of 41 years old~65 years old, 66 years old later old each 3,
Step (1.2) requires its handhold mobile terminal equipment, carries out the jitter test of lasting one minute, most starts according to every point
The shake of clock 10 times, then test lifting 10 times/per minute every time, until be promoted to 100 times/it is per minute untill, set between test
5 minute time of having a rest is put,
Step (1.3) feeds back according to the tester of different age group, and statistical test personnel feel fatigue in test process
Shake number, the threshold value for taking its average value to be shaken as slight jitter and acutely,
Step (1.4) completes the definition of jitter mode, still-mode：Shake number per minute is less than 1 time, slight jitter pattern：
Shake number per minute is more than 1 time, less than 47 times, violent jitter mode：Shake number per minute is at least 47 times,
Step (2) acceleration informations gather：User clicks on and commences play out video button, and video jukebox software front-end interface can be to
The video that user's displaying is playing, meanwhile, software backstage starts to gather acceleration information：
Step (2.1) softwares backstage detects whether to have already turned on collection sub-line journey program, if it is not, creating new collection
Sub-line journey program starts background acquisition acceleration information,
The data that step (2.2) is collected are recorded as data matrix A according to two dimensions of time and acceleration direction of principal axis,
For step (2.3) if video playbacks terminate, software backstage should terminate corresponding collection sub-line journey program immediately,
Step (3) validity checks：Validity check is carried out to the data in the text of current record, predominantly detects and adds
Whether whether speed data is in effective range, and have and the problem of equipment produces such as can not record, can be direct if occurring
The reason for giving up and producing log recording error,
Step (4) data predictions, acceleration information matrix A is divided into a series of submatrix a according to the data volume of every five seconds for example,
And initial velocity vector and position offset vector are initialized,
Step (5) carries out Lagrange's interpolation operation to each submatrix data a in matrix A, obtains adding for zonal cooling
Speed data,
The acceleration information of zonal coolings of step (6) to being obtained in step (5) integrates, and tries to achieve each moment in 5 seconds
Speed,
The speed at each moment integrates in step (7) obtained to step (6) continuous 5 seconds, tries to achieve each moment in 5 seconds
Position offset,
The position offset at each moment seeks the number of its zero crossing in step (8) obtained to step (7) 5 seconds, take three plus
Vibrations number of the most value of speed direction of principal axis offset zero crossing number as mobile terminal in this 5 seconds, and it is calculated
Chattering frequency, it is determined that corresponding jitter mode,
Step (9) carries out step (5), (6), (7), (8) to each acceleration matrix A submatrix a for being grouped to obtain, and obtains
According to the dither state sequence of Time alignment.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110177212A (en) * | 2019-06-26 | 2019-08-27 | Oppo广东移动通信有限公司 | Image processing method and device, electronic equipment, computer readable storage medium |
| CN110234023A (en) * | 2019-02-22 | 2019-09-13 | 华为技术有限公司 | A kind of method and apparatus handling video traffic |
| CN110505501A (en) * | 2019-08-28 | 2019-11-26 | 咪咕视讯科技有限公司 | Information processing method, electronic equipment and computer readable storage medium |
| CN110719535A (en) * | 2019-09-02 | 2020-01-21 | 北方工业大学 | Adaptive equalization adjustment method for downlink video stream code rate at video source end |
| CN111614659A (en) * | 2020-05-19 | 2020-09-01 | 杭州英视信息科技有限公司 | Distributed detection method for unknown network flow |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110211132A1 (en) * | 2008-10-28 | 2011-09-01 | Silicon Communications Technology Co., Ltd. | Grid signal receiver and wireless pointing system having the same |
| CN102577312A (en) * | 2009-10-16 | 2012-07-11 | 高通股份有限公司 | Adaptively streaming multimedia |
| CN103731557A (en) * | 2014-01-08 | 2014-04-16 | 南方医科大学 | Smartphone-based real-time falling detection system and method |
| CN103729281A (en) * | 2014-01-17 | 2014-04-16 | 中国联合网络通信集团有限公司 | Application program usage information acquisition method and mobile terminal |
| CN104735485A (en) * | 2015-03-05 | 2015-06-24 | 上海小蚁科技有限公司 | Method and device for playing video |
| CN105224104A (en) * | 2015-09-01 | 2016-01-06 | 电子科技大学 | Pedestrian movement's state identification method of mode is held based on smart mobile phone |
| CN105659639A (en) * | 2013-07-26 | 2016-06-08 | 艾纳高格有限公司 | Associating external devices to vehicles and usage of said association |
| CN106131792A (en) * | 2016-08-26 | 2016-11-16 | 北京小米移动软件有限公司 | User movement state monitoring method and device |
| CN106502756A (en) * | 2016-12-06 | 2017-03-15 | 武汉斗鱼网络科技有限公司 | Application control method and device |
| CN106501834A (en) * | 2016-10-11 | 2017-03-15 | 上海保橙网络科技有限公司 | A kind of method of use mobile phone automatic decision user movement behavior |
| CN106510720A (en) * | 2016-10-19 | 2017-03-22 | 广东欧珀移动通信有限公司 | Method and device for prompting user state |
| US9628958B1 (en) * | 2013-03-15 | 2017-04-18 | Paul McBurney | User-controlled, smart device-based location and transit data gathering and sharing |
| CN107015646A (en) * | 2017-03-28 | 2017-08-04 | 北京犀牛数字互动科技有限公司 | The recognition methods of motion state and device |
| CN107317934A (en) * | 2017-06-30 | 2017-11-03 | 北京奇虎科技有限公司 | User Activity state based on mobile terminal determines method, device and mobile terminal |
-
2017
- 2017-12-05 CN CN201711263485.3A patent/CN107770592B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110211132A1 (en) * | 2008-10-28 | 2011-09-01 | Silicon Communications Technology Co., Ltd. | Grid signal receiver and wireless pointing system having the same |
| CN102577312A (en) * | 2009-10-16 | 2012-07-11 | 高通股份有限公司 | Adaptively streaming multimedia |
| US9628958B1 (en) * | 2013-03-15 | 2017-04-18 | Paul McBurney | User-controlled, smart device-based location and transit data gathering and sharing |
| CN105659639A (en) * | 2013-07-26 | 2016-06-08 | 艾纳高格有限公司 | Associating external devices to vehicles and usage of said association |
| CN103731557A (en) * | 2014-01-08 | 2014-04-16 | 南方医科大学 | Smartphone-based real-time falling detection system and method |
| CN103729281A (en) * | 2014-01-17 | 2014-04-16 | 中国联合网络通信集团有限公司 | Application program usage information acquisition method and mobile terminal |
| CN104735485A (en) * | 2015-03-05 | 2015-06-24 | 上海小蚁科技有限公司 | Method and device for playing video |
| CN105224104A (en) * | 2015-09-01 | 2016-01-06 | 电子科技大学 | Pedestrian movement's state identification method of mode is held based on smart mobile phone |
| CN106131792A (en) * | 2016-08-26 | 2016-11-16 | 北京小米移动软件有限公司 | User movement state monitoring method and device |
| CN106501834A (en) * | 2016-10-11 | 2017-03-15 | 上海保橙网络科技有限公司 | A kind of method of use mobile phone automatic decision user movement behavior |
| CN106510720A (en) * | 2016-10-19 | 2017-03-22 | 广东欧珀移动通信有限公司 | Method and device for prompting user state |
| CN106502756A (en) * | 2016-12-06 | 2017-03-15 | 武汉斗鱼网络科技有限公司 | Application control method and device |
| CN107015646A (en) * | 2017-03-28 | 2017-08-04 | 北京犀牛数字互动科技有限公司 | The recognition methods of motion state and device |
| CN107317934A (en) * | 2017-06-30 | 2017-11-03 | 北京奇虎科技有限公司 | User Activity state based on mobile terminal determines method, device and mobile terminal |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110234023A (en) * | 2019-02-22 | 2019-09-13 | 华为技术有限公司 | A kind of method and apparatus handling video traffic |
| CN110177212A (en) * | 2019-06-26 | 2019-08-27 | Oppo广东移动通信有限公司 | Image processing method and device, electronic equipment, computer readable storage medium |
| CN110505501A (en) * | 2019-08-28 | 2019-11-26 | 咪咕视讯科技有限公司 | Information processing method, electronic equipment and computer readable storage medium |
| CN110505501B (en) * | 2019-08-28 | 2021-12-07 | 咪咕视讯科技有限公司 | Information processing method, electronic device, and computer-readable storage medium |
| CN110719535A (en) * | 2019-09-02 | 2020-01-21 | 北方工业大学 | Adaptive equalization adjustment method for downlink video stream code rate at video source end |
| CN111614659A (en) * | 2020-05-19 | 2020-09-01 | 杭州英视信息科技有限公司 | Distributed detection method for unknown network flow |
| CN111614659B (en) * | 2020-05-19 | 2022-09-23 | 杭州英视信息科技有限公司 | Distributed detection method for unknown network flow |
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