CN107170199A - A kind of intelligence is wearable to prevent falling early warning clothing - Google Patents
A kind of intelligence is wearable to prevent falling early warning clothing Download PDFInfo
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- CN107170199A CN107170199A CN201710455756.9A CN201710455756A CN107170199A CN 107170199 A CN107170199 A CN 107170199A CN 201710455756 A CN201710455756 A CN 201710455756A CN 107170199 A CN107170199 A CN 107170199A
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- early warning
- tumble
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- prevent falling
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Gerontology & Geriatric Medicine (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Psychiatry (AREA)
- Psychology (AREA)
- Social Psychology (AREA)
- Alarm Systems (AREA)
Abstract
The invention provides a kind of intelligence it is wearable it is anti-fall early warning clothing, the intelligence is wearable to prevent that falling early warning clothing includes：Equipped with tumble early warning system and protection system on early warning clothing body, the early warning clothing body；Wherein, the tumble early warning system includes, sensor, measures the acceleration of tumble object；CPU MCU, handles the data of the sensor transmissions；Memory, stores the data after the CPU MCU processing；Data outputting module, the data of the memory are read by the CPU MCU；Power module, power supply is provided for the tumble early warning system；The protection system includes protection device and wireless location warning device, and the protection device is used to protect tumble object, and the wireless location warning device is used for the position for positioning tumble object.The beneficial effects of the invention are as follows：The detection to tumble is realized, the accuracy of fall detection is improved, protects the physical safety of old man.
Description
Technical field
The present invention relates to tumble early warning protection technical field, more particularly to a kind of intelligence is wearable anti-falls early warning
Clothing.
Background technology
China human mortality Aging Problem is on the rise.According to《Chinese programs for the elderly development report》, the end of the year 2014,60 years old
The above 2.12 hundred million, accounts for population ratio 15.6%.It is expected that the year two thousand thirty, more than 60 years old 3.71 hundred million, accounts for population ratio nearly 25%, arrives
The year two thousand fifty, China aged is up to 1/3rd of total number of people.Intelligence endowment Internet of Things is built up in some domestic cities should
The wisdom that area, street (town), community (village), the cascade network of mechanism four, standard are unified, interconnected with demonstration project, the engineering
Endowment system, covers geriatric nursing home, community's family endowment service management, personnel management, financial management, safety nurse, health doctor
Multiple subsystems such as treatment, family members' interaction, nurse's Added Management.Platform carries out unified operation flow, unified database, unified networking
Operation, realizes endowment service management standardization.Adopted using wireless location warning device, APP terminals, two-dimensional code scanning, health
Collect smart machine and the technologies such as terminal, various kinds of sensors, data statistic analysis, realize Old Age Homes' service for life, promptly rescue
A variety of services such as service, guard and alarm are helped, Aged caring institutions, the multi-demandses of community's family endowment service are met.2015
The people of bottom commerce Los Angeles total population 235.63 ten thousand, more than the 60 years old people of elderly population 36.9 ten thousand accounts for population ratio 15.6%, and population is aged
Change and aggravation situation is presented, the strengthening endowment Construction of Service System of the task is heavy and arduous.In December, 2014 Shanglou municipal people's government
Emphasized in implementation guideline on accelerating development endowment service trade, push forward family endowment service comprehensively.Greatly develop the community of city and country
Endowment service.Greatly develop endowment service industry.To the year two thousand twenty, the city will be built up based on house comprehensively, community is support,
Mechanism is supports, perfect in shape and function, moderate scale, the endowment service system for covering town and country, and life care, medical treatment and nursing, spirit are consoled
All house the elderlys are covered by the endowment service such as, emergency relief, it is standard compliant to take care of center, independent social center for the elderly in the daytime
All communities in urban areas are covered Deng service facility, more than 95% town and more than 70% rural community, which are set up to include supporting parents servicing, to exist
Interior Communities ' Integrated service facility and website, social pension bedspace reach every thousand the elderlys 40.
Carry out municipal government《On encouraging and guiding social capital to enter the implementation guideline of endowment service field》, fully
Using position ecological dominance, with reference to eco-tour, new countryside construction, specialty industries development, social capital is promoted largely to enter foster
Old field, takes Gongjian private and runs by the local people and subsidized by the state and wait various ways, sets up that a collection of service facility is complete, complete function endowment takes
Be engaged in mechanism, meets the endowment demand of different levels the elderly.
But the Aged mode in the current city mainly using it is traditional, be completely dependent on artificial management and service pattern, lack
Efficient service equipment and management means, the problem of easily occurring various during service is provided, such as emergency situations
Can not early warning, old man wanders away, and daily nursing is not in place, nursing staff's missing etc..These problems not only cause object of nursing
Vital interests can not be protected, and also cause loss to society, bring many social concerns.
The content of the invention
It is an object of the invention to provide a kind of intelligence it is wearable it is anti-fall early warning clothing, can realize and be landed in trunk
Launch alarm signal before, and open protection device, and notify nursing staff in time, reduce discovery time, the personnel of falling down obtain
To timely treatment, realize that Old Age Homes' service for life, emergency assistance services, guard and alarm etc. are serviced, meet mechanism and support
Always, the multi-demandses of community's family endowment service.
The present invention is to be achieved through the following technical solutions：
The invention provides a kind of intelligence it is wearable it is anti-fall early warning clothing, the intelligence is wearable to prevent that falling early warning clothing includes：
Equipped with tumble early warning system and protection system on early warning clothing body, the early warning clothing body；Wherein, the tumble early warning system bag
Include,
Sensor, measures the acceleration of tumble object；
CPU MCU, handles the data of the sensor transmissions；
Memory, stores the data after the CPU MCU processing；
Data outputting module, the data of the memory are read by the CPU MCU；
Power module, power supply is provided for the tumble early warning system；
The protection system includes protection device and wireless location warning device, and the protection device is used for tumble object
Protected, the wireless location warning device is used for the position for positioning tumble object.
Further, the sensor is three axis accelerometer, the model ADXL345 of use.
Further, the memory is can power down memory.
Further, monolithics of the CPU MCU from embedded chip model MSP430F149 series
Machine.
Further, the single-chip microcomputer is 16 Flash type low-power scms, and its operating voltage is 1.8V~3.6V,
Operating current is in 400 μ A between 0.1 μ A.
Further, house dog, timer, comparator, multiplier, A/D modular converters are provided with the single-chip microcomputer,
Its I/O mouthfuls is 48.
Further, the single-chip microcomputer is additionally provided with Flash program memory.
Further, the three axis accelerometer is connected with the single-chip microcomputer by I2C buses.
Further, the protection device includes air bag, steering wheel and gas cylinder；When tumble object is fallen, the rudder
Machine receives thorn after the control signal that the CPU MCU is sent and opens the gas cylinder, and the gas cylinder is to the air bag
Inflation.
Further, the gas cylinder built with the compressed air of certain volume as source of the gas, the gas cylinder and the safety
Air bag is connected by electric-air valve device.
The intelligence that the present invention is provided it is wearable it is anti-fall early warning clothing, 3-axis acceleration flowmeter sensor is based on by device,
Using the early warning detection algorithm based on acceleration rate threshold, tumble can effectively be detected, and old man can detected
Protection air bag is opened during falling down, the body of old man is not come to harm, the wisdom endowment of real meaning is realized.The present invention
Innovative point it is as follows：
(1) 3-axis acceleration flowmeter sensor is used in wisdom endowment system, realizes the detection to tumble.
(2) warning algorithm based on acceleration rate threshold is used, the accuracy of fall detection is improved.
(3) a set of falling protective device is devised, the physical safety of old man is protected.
Brief description of the drawings
Fig. 1 is the workflow diagram of tumble early warning system provided in an embodiment of the present invention and protection system；
Fig. 2 is the system construction drawing of tumble early warning system provided in an embodiment of the present invention；
Fig. 3 is that 3-axis acceleration flowmeter sensor provided in an embodiment of the present invention passes through showing that I2C buses are connected with single-chip microcomputer
It is intended to；
Fig. 4 is the axial schematic diagram of output of three axis accelerometer provided in an embodiment of the present invention；
Fig. 5 is the tumble warning algorithm flow chart provided in an embodiment of the present invention based on acceleration rate threshold；
Fig. 6 is design flow diagram provided in an embodiment of the present invention；
Fig. 7 is the coordinate system schematic diagram of the position of centre of gravity of human body provided in an embodiment of the present invention；
Fig. 8 is human body running stress model schematic diagram provided in an embodiment of the present invention；
Fig. 9 is that human body provided in an embodiment of the present invention is gone downstairs process force analysis schematic diagram；
Figure 10 is human body human body tumble process schematic provided in an embodiment of the present invention；
Figure 11 is human body tumble process stress curve figure provided in an embodiment of the present invention.
Figure 12 is the procedure chart of human body tumble emulation provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The embodiments of the invention provide a kind of intelligence it is wearable it is anti-fall early warning clothing, the intelligence is wearable to prevent falling early warning clothing
Including early warning clothing body, tumble early warning system and protection system are housed on early warning clothing body.Wherein, tumble early warning system includes,
Sensor in sensor, the present embodiment is three axis accelerometer, the model ADXL345 of use, and the three axis accelerometer is
A compact slim low-power consumption three axis accelerometer, can carry out (13) surveys of high-resolution to up to ± 16g acceleration
Amount.The three axis accelerometer is especially suitable for mobile device application.It measurement static weight can accelerate in tilt detection application
Degree, can also measure dynamic acceleration caused by motion or impact.It has high-resolution (4mg/LSB), can measure about
0.25 ° of change of pitch angle.As shown in Fig. 2 Fig. 2 is the system construction drawing of tumble early warning system that the present invention is provided, sensor with
CPU MCU, power module, memory and data outputting module collectively form tumble early warning system.3-axis acceleration
Count the acceleration of measurement object；MCU is responsible for handling the data that three axis accelerometer is passed over, and is deposited into storage
Among device；The memory for can power down memory, the experimental data of a period of time can be stored with power down；Data outputting module passes through
CPU MCU reads the data of memory；Power module is used for providing power supply for tumble early warning system.Center processing is single
First MCU is from the single-chip microcomputer of embedded chip model MSP430F149 series, and the single-chip microcomputer is 16 Flash type low-power consumption lists
Piece machine, its operating voltage is 1.8V~3.6V, and operating current between 0.1 μ A, also, is provided with 400 μ A on the single-chip microcomputer
House dog, timer, comparator, multiplier, A/D modular converters, its I/O mouthfuls is 48, with extremely strong expansion.Monolithic
Machine is additionally provided with Flash program memory, and exploitation is extremely easy.Three axis accelerometer is connected with single-chip microcomputer by I2C buses, such as
Fig. 3 represents that Fig. 3 is the schematic diagram that the 3-axis acceleration flowmeter sensor that the present invention is provided is connected with single-chip microcomputer by I2C buses.
In the present embodiment, protection system includes protection device and wireless location warning device.Wherein, protection device includes
Air bag, steering wheel and gas cylinder, protection device are used to protect tumble object, when tumble object is fallen, and steering wheel is received
Thorn opens gas cylinder after the control signal that CPU MCU is sent, and gas cylinder is to airbag inflated.Gas cylinder is built with certain volume
Compressed air connected as source of the gas, gas cylinder and air bag by electric-air valve device.Using air bag come to fall into
Row protection.The human body attitude information of collection is carried out by CPU MCU to analyze and handle in real time, judged according to falling
Algorithm, judge whether human body will fall, when detect human body fall it is inevitable when, CPU MCU sends control
Signal processed, control steering wheel thorn opens gas cylinder and air bag is inflated, and before human body contacts to earth, one is formed between human body and ground
Layer buffering, reaches the purpose of protection human body.Gas cylinder using the compressed gas of certain volume as source of the gas, when receiving central processing
After the enabling signal that unit MCU is sent, just start electric-air valve device, the source of the gas and air bag of gas cylinder are connected, in the most fast time
In gas is charged into air bag, to before air bag gassy, wireless location warning device is used for the position for positioning tumble object, and
Send early warning.As shown in figure 1, Fig. 1 is the workflow diagram of the tumble early warning system that the present invention is provided and protection system.
In the present invention, using sensor of the three axis accelerometer as data acquisition, and the inspection based on acceleration rate threshold
Method of determining and calculating as tumble early warning system warning algorithm.The three axis accelerometer chosen in the present embodiment under static state each
Axle output is not all 0.Its each output is axially as shown in figure 4, Fig. 4 is the output shaft for the three axis accelerometer that the present invention is provided
To schematic diagram.Under static state, the acceleration of gravity of X, Y, Z-direction and that axle is in opposite direction, then the axle is output as
1g, other two axles are output as 0；With acceleration of gravity in the same direction, then the axle is output as -1g, and other two axles are output as 0.It is determined that with reference to
Consider, defined feature amount SVM first, for representing the size of resultant acceleration vector, i.e.,：In formula
axayazThe output of tri- axial directions of accelerometer X, Y, Z is represented respectively.SVM is the amplitude of the resultant acceleration vector of three axles, it big
It is small relevant with the severe degree of human body velocity variations, and it is unrelated with the direction of motion.Although in some are slowly acted
Angle has a greater change, but SVM changes are little, and this has absolutely proved that SVM is an ideal reference physical quantity.
In order to improve the accuracy of fall detection, the algorithm enters from acceleration rate threshold, three links of time threshold and average threshold value respectively
Row algorithm is designed.
Link one：Acceleration rate threshold judges
According to SVM curve feature, ideally human body SVM under standing or inactive state numerical value is 1.By
In the sensor used sensitivity for 0.0156g/LSB, so output can not can guarantee that have no deviation, actually by adjustment
The deviation of each axle of sensor, sensor is exported under static state can be in 1.01g or so.People is when falling due to by weight
The influence of power, center of gravity is out of hand, shows and is less than body weight, the characteristics of meeting weightlessness again.If so SVM ＜ 1, then it is assumed that human body is
In state of weightlessness, the weightless degree of the smaller explanation human body of SVM numerical value is more serious.Given threshold G=1, if SVM ＜ G, then
Next step judgement is carried out into next link.
Link two：Time threshold judges
Weightlessness is not to fall specific, and the weightless stage also occurs sitting down, under the active state such as go downstairs.Pass through
Experimental analysis finds SVM ＜ 1 situation can all occur under human body various activities state, actually be construed as of short duration
State of weightlessness.But their weightless times are very of short duration compared with falling, this is due in the normal activities China and foreign countries of human body
Power is timely intervened so that human body restores balance quickly, will not be for a long time in weightless state, and time that human body is fallen
Comparatively it is long usually in 1s-4s.
Measured by experiment, obvious state of weightlessness lasts about greatly 0.4s~0.8s or so during tumble, and walks
The weightless process on road is about 0.3s, running 0.2s, above downstairs 0.3s, and it is 0.5s to sit down and squat down.Setting time herein
Threshold value Tc=0.35s.If the weightless time is more than 0.35s, then it is assumed that be the suspicious points fallen, such threshold value setting is resonable
By can above filter out most non-tumble state.
Link three：Average threshold decision
By the analysis to experimental data, find the weightless amplitude fallen compared with other several motion shapes in addition to running
State wants greatly many, but link one, two can not reflect this gap.Tc is the removable time window of a differentiation, in the window
SVM average Me can reflect the severe degree of weightlessness in the mouth time, and calculate relatively easy.Here set average Me's
Threshold value A v=0.8, when the SVM averages Me in the Tc times is less than Av, then assert fall events.Add after link three,
Forward and backward tumble posture can be detected effectively.
As shown in figure 5, Fig. 5 is the tumble warning algorithm flow chart based on acceleration rate threshold that the present invention is provided.Wherein SVM
Overall acceleration is represented, G represents the threshold value of acceleration, and T represents to meet the time span that SVM is less than G, and Tc represents time threshold,
Me represents the average of the overall acceleration within the Tc times, and Av represents acceleration average Me threshold value.
The present invention uses theory analysis, and the method that software analog simulation and experiment are combined is studied, warning algorithm master
To be studied by theory analysis and software analog simulation, protection device and related early warning hardware design mainly by test into
Row research.The technology path of implementation is main from 3-axis acceleration sensor information gathering, the design of warning algorithm and realization and guarantor
The part of design three of protection unit is carried out.There is provided multinomial service function for the final functional requirement for intelligence endowment.
It is described in detail from the following aspects：
(1) fall the spy movable with various ADL (Activities of Daily Living) from aerodynamic point introduction
Point, and made the stress change curve on main Impact direction, then by Lifemod softwares to the tumble of human body and
Software modeling and emulation have been carried out on foot.
Common ADL activities have a lot, and easily causing the activity fallen or be close with tumble action severe degree has
On foot, run, upstairs, downstairs, sit down, squat down.The difference between tumble Fall and daily routines ADL is held, from dynamics
The characteristics of angle is to analyze each pattern.The coordinate system of force analysis is initially set up, the origin of coordinate system is located at human body
Position of centre of gravity, as shown in fig. 7, Fig. 7 is the coordinate system schematic diagram of the position of centre of gravity of human body provided in an embodiment of the present invention.To people
The various normal activity modes of body carry out force analysis, as shown in figure 8, Fig. 8 is human body running stress provided in an embodiment of the present invention
Model schematic.Simulation is set up to people's running activity to analyze.As shown in figure 9, Fig. 9 is human body provided in an embodiment of the present invention
Downstairs process force analysis schematic diagram, model is set up to the human body activity of going downstairs and carries out force analysis.As shown in Figure 10, Figure 10 is this
The human body human body tumble process schematic that inventive embodiments are provided.As shown in figure 11, Figure 11 is people provided in an embodiment of the present invention
Body tumble process stress curve figure.
(2) scheme is determined, and carries out a series of experiment, the human body acceleration data under various patterns have been collected；
Establish and carry out simulation tumble action emulation after model to human body.Found in tumble simulation process, human body is not by external force
In the case of can nature fall backward, and forward, the direction such as left and right fall down, need to add the load of different directions, so here
Mainly emulated to falling down backward, the process of emulation is as shown in figure 12.Acceleration change curve can obtain by emulation.
(3) experimental data is analyzed, it is proposed that the detection algorithm based on threshold value, then uses calculator software MATLAB
Emulated and verified.
By the acceleration information obtained by experiment, the threshold detection algorithm based on acceleration is set up, Consideration is needed such as
Under：
1) the reference physical quantity of algorithm selects the acceleration of position of human center.
2) the judgement period of algorithm is the zero-g period in human body.Zero-g period only before impact is produced is to falling
Trend makes accurate judgement, can accomplish the early warning to tumble.
3) algorithm can in terms of two given threshold, i.e. weightless duration and weightlessness amplitude.In tumble pattern
Under, weightless duration and weightless amplitude are significantly larger than other ADL activities, are acceleration from these two aspects given threshold
One breach of thresholding algorithm.
(4) Hardware ＆ software system of anti-tumble early warning protection is set up, and to checking that the system is tested.
In the present embodiment, as shown in fig. 6, Fig. 6 is design flow diagram provided in an embodiment of the present invention.First to single-chip microcomputer
Electrification reset, and house dog is closed, then initialization input mouthful, sets acceleration rate threshold, time threshold and average threshold value
Three thresholding variables, and threshold value is changed according to input, then after initialization output port and sensor, read sensor detection
The signal arrived, is carried out after above-mentioned threshold decision, confirms tumble, and the wireless location warning device alarm of setting, positioning is fallen
The position of object, while airbag inflated, last air bag, which is deflated, terminates flow.
In summary, intelligence of the invention provided is wearable prevents falling early warning clothing, and 3-axis acceleration is based on by device
Flowmeter sensor, using the early warning detection algorithm based on acceleration rate threshold, can effectively be detected to tumble, and can be in inspection
Measure and protection air bag is opened during old man falls down, the body of old man is not come to harm, realize that the wisdom of real meaning is supported
Always.The innovative point of the present invention is as follows：
(1) 3-axis acceleration flowmeter sensor is used in wisdom endowment system, realizes the detection to tumble.
(2) warning algorithm based on acceleration rate threshold is used, the accuracy of fall detection is improved.
(3) a set of falling protective device is devised, the physical safety of old man is protected.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (10)
- Prevent falling early warning clothing 1. a kind of intelligence is wearable, it is characterised in that including：On early warning clothing body, the early warning clothing body Equipped with tumble early warning system and protection system；Wherein, the tumble early warning system includes,Sensor, measures the acceleration of tumble object；CPU MCU, handles the data of the sensor transmissions；Memory, stores the data after the CPU MCU processing；Data outputting module, the data of the memory are read by the CPU MCU；Power module, power supply is provided for the tumble early warning system；The protection system includes protection device and wireless location warning device, and the protection device is used to carry out tumble object Protection, the wireless location warning device is used for the position for positioning tumble object.
- Prevent falling early warning clothing 2. a kind of intelligence according to claim 1 is wearable, it is characterised in that the sensor is three Axis accelerometer, the model ADXL345 of use.
- Prevent falling early warning clothing 3. a kind of intelligence according to claim 1 is wearable, it is characterised in that the memory is can Power down memory.
- Prevent falling early warning clothing 4. a kind of intelligence according to claim 1 is wearable, it is characterised in that the center processing is single Single-chip microcomputers of first MCU from embedded chip model MSP430F149 series.
- Prevent falling early warning clothing 5. a kind of intelligence according to claim 4 is wearable, it is characterised in that the single-chip microcomputer is 16 Position Flash type low-power scms, its operating voltage is 1.8V~3.6V, and operating current is in 400 μ A between 0.1 μ A.
- Prevent falling early warning clothing 6. a kind of intelligence according to claim 4 is wearable, it is characterised in that set on the single-chip microcomputer House dog, timer, comparator, multiplier, A/D modular converters are equipped with, its I/O mouthfuls is 48.
- Prevent falling early warning clothing 7. a kind of intelligence according to claim 4 is wearable, it is characterised in that the single-chip microcomputer is also set It is equipped with Flash program memory.
- 8. a kind of intelligence according to claim 2 and 4 is wearable anti-to fall early warning clothing, it is characterised in that three axle adds Speedometer is connected with the single-chip microcomputer by I2C buses.
- Prevent falling early warning clothing 9. a kind of intelligence according to claim 1 is wearable, it is characterised in that the protection device bag Include air bag, steering wheel and gas cylinder；When tumble object is fallen, the steering wheel receives what the CPU MCU was sent Thorn opens the gas cylinder after control signal, and the gas cylinder is to the airbag inflated.
- Prevent falling early warning clothing 10. a kind of intelligence according to claim 9 is wearable, it is characterised in that the gas cylinder is built-in There is the compressed air of certain volume as source of the gas, the gas cylinder and the air bag are connected by electric-air valve device.
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Application publication date: 20170915 |