CN117116172A - Touch screen testing method and device - Google Patents
Touch screen testing method and device Download PDFInfo
- Publication number
- CN117116172A CN117116172A CN202311346388.6A CN202311346388A CN117116172A CN 117116172 A CN117116172 A CN 117116172A CN 202311346388 A CN202311346388 A CN 202311346388A CN 117116172 A CN117116172 A CN 117116172A
- Authority
- CN
- China
- Prior art keywords
- touch screen
- current
- evaluation value
- touch
- image sequence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 89
- 238000011156 evaluation Methods 0.000 claims abstract description 108
- 230000004044 response Effects 0.000 claims abstract description 41
- 238000000034 method Methods 0.000 claims abstract description 30
- 230000036632 reaction speed Effects 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000004422 calculation algorithm Methods 0.000 claims description 34
- 238000006243 chemical reaction Methods 0.000 claims description 20
- 230000008034 disappearance Effects 0.000 claims description 16
- 230000007613 environmental effect Effects 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 14
- 230000008859 change Effects 0.000 claims description 8
- 230000000694 effects Effects 0.000 claims description 4
- 238000005457 optimization Methods 0.000 description 10
- 238000004458 analytical method Methods 0.000 description 8
- 238000010998 test method Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 230000003993 interaction Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 238000012937 correction Methods 0.000 description 4
- 238000003908 quality control method Methods 0.000 description 4
- 230000001186 cumulative effect Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 238000005286 illumination Methods 0.000 description 3
- 238000013178 mathematical model Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 239000002131 composite material Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000013101 initial test Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2205—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
- G06F11/2221—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test input/output devices or peripheral units
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Position Input By Displaying (AREA)
Abstract
The invention relates to a touch screen testing method and device, in particular to a method and device for evaluating the response speed of a touch screen. The method comprises the steps of firstly acquiring an image sequence of the touch screen in touch test operation, and acquiring corresponding current or voltage data. Then, an initial evaluation value of the reaction speed is calculated based on these data. If the initial evaluation value falls outside the preset threshold range, the method further performs high-precision processing. The high precision processing includes acquiring a high frame rate image sequence of the touch screen and first current or first voltage data for calculating a first evaluation value of the reaction speed. And finally, judging whether the reaction speed of the touch screen meets a preset standard according to the first evaluation value. The method can effectively and accurately evaluate the response speed of the touch screen and evaluate the response speed with higher precision when necessary, thereby realizing high precision and low cost of the touch screen test.
Description
Technical Field
The present invention relates to the field of touch screen testing, and in particular, to a method and apparatus for testing a touch screen.
Background
Touch screen technology has been widely used in a variety of devices including, but not limited to, smart phones, tablet computers, self-service terminals, and industrial control interfaces. As these applications have increased in performance requirements, assessing the speed of the touch screen response has become a critical task. The speed of reaction directly affects the user experience, including the smoothness and accuracy of the touch response.
Conventional touch screen testing methods typically focus on a single performance index, such as image quality or current variation, and ignore the complex relationship of these factors to each other. Still other methods provide relatively accurate reaction rate assessment, but this typically requires the use of costly test equipment and complex data analysis algorithms. This not only increases the cost of testing, but also limits the application of these methods in low cost or resource constrained environments.
Accordingly, there is a need to provide a touch screen testing method that provides a low cost and high accuracy touch screen testing scheme.
Disclosure of Invention
The application provides a touch screen testing method and device, which are used for reducing the cost of touch screen testing and keeping high precision.
The application provides a touch screen testing method, which comprises the following steps:
acquiring a touch test operation image of a touch screen to form a primary image sequence, wherein the primary image sequence comprises images with preset duration from the beginning of the occurrence of a touch point of the touch screen to the disappearance of the touch point;
collecting current or voltage data of a touch screen during touch test operation to form a current or voltage data sequence;
calculating an initial evaluation value of the response speed of the touch screen based on the primary image sequence and the current or voltage data sequence;
And if the initial evaluation value is out of the preset threshold range, performing high-precision processing, wherein the high-precision processing comprises the following steps: acquiring a high-frame-rate image sequence formed by touch test operation on a touch screen, wherein the high-frame-rate image sequence comprises images with a first preset duration from the beginning of the occurrence of a touch screen contact point to the disappearance of the contact point, and the frame rate of the high-frame-rate image sequence is larger than that of the primary image sequence; collecting first current or first voltage data of a touch screen during touch operation, and forming a first current or first voltage data sequence; calculating a first evaluation value of the response speed of the touch screen based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence;
and judging whether the reaction speed of the touch screen meets a preset standard according to the first evaluation value.
Further, if the initial evaluation value falls within the preset threshold value range, the touch screen is considered to be in accordance with the standard, and the step of high-precision processing is not executed.
Further, the initial evaluation value of the reaction rate can be obtained by the following formula:
where R is an initial evaluation value of the reaction rate; n is the number of data points associated with the point of contact at the touch test operation; Is a weight coefficient between 0 and 1 for balancing the effect of image data and current or voltage data on the reaction rate assessment; />Is the time at which the current or voltage returns to a baseline level after the contact point appears or disappears, which is the current or voltage level when no touch operation is performed; />Is the timestamp of the image frame in which the ith contact point appears or disappears on the touch screen; />Is a function describing the relationship between touch time and current or voltage variation, defined as follows:
wherein,is the peak timestamp of the touch screen current or voltage associated with the ith contact point; d is the data acquisition frequency of acquiring current or voltage data from the touch screen hardware; p is the precision of the timestamp; delta is a constant used to smooth data.
Still further, the frame rate of the high frame rate image sequence is 60 frames/second or more.
Furthermore, the weight coefficient lambda can be dynamically adjusted according to a preset performance index.
Further, according to the first evaluation value, whether the reaction speed of the touch screen meets the preset standard or not is judged, and environmental factors including temperature and humidity are considered.
Further, the data of the environmental factors originate from an internal or external environmental sensor.
Further, the calculating, based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence, a first evaluation value of a reaction speed of the touch screen includes:
calculating dynamic time warping values DTW (A, B) and DTW (E, F), wherein the DTW (A, B) is obtained by calculating the similarity between the high-frame-rate image sequence A and a pre-stored standard operation image sequence B by using a dynamic time warping algorithm, and the pre-stored standard operation image sequence B is obtained by executing the same touch test operation on the touch screen within the same first preset time length as the high-frame-rate image sequence and is used as a comparison reference; the calculation formula is as follows:
wherein the length of the high frame rate image sequence A is m, and the prestored standard operationThe length of the image sequence B is n;and->The j-th observation of the sequence A and the i-th observation of the sequence B are respectively;
DTW (E, F) calculates the similarity between the current or voltage variation data sequence E and the pre-stored standard current or voltage data sequence F using a dynamic time warping algorithm, the calculation formula of which is as follows:
wherein the length of the current or voltage change data sequence E is p; the length of the prestored standard current or voltage data sequence F is q; And->The kth observation of sequence E and the first observation of sequence F, respectively;
the first evaluation value Y is calculated according to the following formula:
wherein,and->Is a weight parameter.
Further, the step of judging whether the response speed of the touch screen meets a preset standard according to the first evaluation value comprises the following steps of;
if the first evaluation value Y is within a first preset threshold range, the touch screen is considered to accord with a preset standard;
and if the first evaluation value Y is out of the first preset threshold range, the touch screen is not considered to accord with the preset standard.
The application provides a touch screen testing device, which is characterized by comprising the following components:
the image unit is used for acquiring touch test operation images of the touch screen to form a primary image sequence, wherein the primary image sequence comprises images with preset duration from the beginning of the occurrence of touch screen contact points to the disappearance of the contact points;
the acquisition unit is used for acquiring current or voltage data of the touch screen during touch test operation to form a current or voltage data sequence;
a calculation unit for calculating an initial evaluation value of the touch screen reaction speed based on the primary image sequence and the current or voltage data sequence;
the judging unit is used for carrying out high-precision processing if the initial evaluation value is out of a preset threshold range, and comprises the steps of obtaining a high-frame-rate image sequence formed by touch test operation on the touch screen, wherein the high-frame-rate image sequence comprises images with a first preset duration from the beginning of the occurrence of a touch point of the touch screen to the disappearance of the touch point, and the frame rate of the high-frame-rate image sequence is larger than that of the primary image sequence; collecting first current or first voltage data of a touch screen during touch operation, and forming a first current or first voltage data sequence; calculating a first evaluation value of the response speed of the touch screen based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence;
And the judging unit is used for judging whether the reaction speed of the touch screen accords with a preset standard according to the first evaluation value.
The beneficial effects of the application include: by integrating a plurality of performance indexes, the response speed of the touch screen can be estimated more accurately; since the test accuracy can be dynamically adjusted according to the preliminary evaluation result, a high-accuracy test can be used as necessary, thereby balancing accuracy and test cost.
Drawings
Fig. 1 is a flowchart of a touch screen testing method according to a first embodiment of the present application.
Fig. 2 is a schematic diagram of a touch screen testing device according to a second embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. The present application may be embodied in many other forms than those herein described, and those skilled in the art will readily appreciate that the present application may be similarly embodied without departing from the spirit or essential characteristics thereof, and therefore the present application is not limited to the specific embodiments disclosed below.
The first embodiment of the application provides a touch screen testing method. Referring to fig. 1, a schematic diagram of a first embodiment of the present application is shown. The following provides a detailed description of a touch screen testing method according to a first embodiment of the present application with reference to fig. 1.
Step S101: and acquiring touch test operation images of the touch screen to form a primary image sequence, wherein the primary image sequence comprises images with preset time length from the beginning of the occurrence of a touch point of the touch screen to the disappearance of the touch point.
This step is a key component of a touch screen testing method, which aims at capturing the user interaction behavior of the touch screen and generating a data structure called a "primary image sequence" through these interaction behaviors.
Firstly, an image of touch test operation such as clicking operation or sliding operation occurring on a touch screen of a mobile phone is acquired through a special external image capturing device or a built-in screen video recording function of the touch screen. These image captures are typically performed in frames, each frame being a separate image. In addition, the captured image may also be provided with time stamp information for synchronizing with the underlying current or voltage data.
These captured images are organized into a sequence, called a "primary image sequence". The position of each image in the sequence is determined based on the time it was captured, thereby forming a set of chronologically arranged images.
To provide more detailed information, the primary image sequence includes all images from the moment the touch screen contact point (i.e., where the user's finger, stylus, or dedicated touch-sensing device makes contact with the screen) first appears, until a preset time period after the contact point has completely disappeared. The step can be performed for one contact point in the touch screen, or a plurality of contact points can be simultaneously performed for touch test operation.
The "preset duration" is a configurable parameter, and may be set according to the test requirements or the specific application scenario. This preset duration is typically long enough to capture all important information related to a particular touch operation (e.g., click, double click, swipe, etc.).
In general, this step is intended to detail the interaction process of the touch screen through image capture and sequence construction. This information will provide valuable input for subsequent data analysis and performance evaluation, thereby enabling more accurate and comprehensive touch screen testing.
The performance of this step typically requires fine tuning of various hardware and software resources including, but not limited to, selection of the image capture device, setting of the capture frequency, and time synchronization with other test steps (e.g., current or voltage data acquisition), etc. This is done to ensure the quality and accuracy of the primary image sequence, thereby providing a reliable data basis for subsequent analysis and evaluation
Step S102: and collecting current or voltage data of the touch screen during touch test operation to form a current or voltage data sequence.
This step is a vital loop in the touch screen testing method, aimed at acquiring the corresponding current or voltage data of the touch screen during the simulated user interaction (click or slide operation).
To implement this step, a special current or voltage sensor is first required to be connected to the circuitry of the touch screen of the handset. These sensors are typically connected to specific nodes of the touch screen circuit in order to accurately measure current or voltage data related to user interaction.
Once the sensor is ready, the system begins to monitor the current or voltage data in real time and records the data in the form of data. These data are typically stored in time series, with each data point representing a current or voltage value at a particular point in time. Each data point may also carry time stamp information.
The frequency of data collection is a configurable parameter and can be adjusted according to the specific requirements of the test. For example, if the goal is to make a high-precision performance assessment, then a higher data acquisition frequency may need to be selected to capture more detail.
After being recorded, the current or voltage data is organized into a data structure, typically an array or linked list, called a current or voltage data sequence. This data structure is used to store all relevant current or voltage data from the beginning to the end of the user interaction (or within a preset observation window).
Notably, for the accuracy and integrity of subsequent analysis, it is often necessary to ensure that the time stamps of the current or voltage data are accurately synchronized with the time stamps of the primary image sequence. This is typically achieved by a built-in clock or an external time synchronization device.
The purpose of this step is to provide another level of data support for subsequent data analysis and touch screen performance evaluation. In combination with the image sequence data, the current or voltage variation data can be used to more accurately evaluate the response speed of the touch screen, particularly when high-precision processing or deeper performance correction is performed.
Acquisition of current or voltage change data typically involves fine tuning of a variety of hardware and software resources including, but not limited to, selection and configuration of sensors, setting of data acquisition frequency, and time synchronization with other testing steps (e.g., image sequence capture). All this is to ensure that the acquired current or voltage variation data has a high degree of accuracy and reliability, thereby providing powerful data support for subsequent analysis and evaluation.
Step S103: and calculating an initial evaluation value of the response speed of the touch screen based on the primary image sequence and the current or voltage data sequence.
This step serves as a key element of the touch screen testing method, and aims to calculate an initial evaluation value of the response speed of the touch screen by using two types of data, namely a primary image sequence and a current or voltage data sequence, which are acquired previously. This initial evaluation is a preliminary quantitative indicator of touch screen response performance and can be used for further analysis and optimization.
To perform this step, a detailed analysis of the current or voltage data sequence is first required. In the current or voltage data sequence, a current or voltage peak corresponding to the presence or absence of a contact point is found. These peaks are critical moments of touch operation triggering current or voltage changes, and need to be accurately marked and saved.
These marked current or voltage peaks then need to correspond in time to key frames in the primary image sequence. The key frame refers to an image corresponding to an important event of a touch operation (e.g., the first occurrence of a touch point, the movement or disappearance of a touch point, etc.) within a preset time period after the touch point of the touch screen starts to appear until the touch point disappears. The acquisition of key frames is a common technique in image processing technology, and will not be described in detail here. By correlating the current or voltage peaks with the key frame times, the speed of the touch operation can be more accurately described.
To make the time correspondence, a specific algorithm or mathematical model is typically used. These algorithms need to take into account a variety of factors including, but not limited to, the accuracy of the time stamp, the frequency of data acquisition, and any time lag or offset that may be present. After the fine time correspondence, the current or voltage change is combined with the image series data to calculate an initial evaluation value of the reaction speed.
The specific algorithm for calculating the reaction speed can be different according to different application scenarios and performance requirements. In general, this may be a composite indicator that combines multiple performance parameters of the touch screen, such as the time difference between the occurrence of a contact point to the arrival of a current or voltage peak, the time when the current or voltage returns to a baseline level after the contact point has disappeared, and so forth.
Finally, the initial evaluation value of the reaction rate obtained will be used in the subsequent analysis step. Specifically, if this initial evaluation value falls outside a preset threshold range, the test system will perform a high-precision process to further accurately evaluate the performance of the touch screen.
Specifically, the initial evaluation value of the reaction rate can be obtained by the following formula:
where R is an initial evaluation value of the reaction rate; n is the number of data points associated with the point of contact at the touch test operation; Is a weight coefficient between 0 and 1 for balancing the effect of image data and current or voltage data on the reaction rate assessment; />Is the time at which the current or voltage returns to a baseline level after the contact point appears or disappears, which is the current or voltage level when no touch operation is performed; />Is the timestamp of the image frame in which the ith contact point appears or disappears on the touch screen; />Is a function describing the relationship between touch time and current or voltage variation, defined as follows:
wherein,is the peak timestamp of the touch screen current or voltage associated with the ith contact point; d is the data acquisition frequency of acquiring current or voltage data from the touch screen hardware; p is the precision of the timestamp; delta is a constant used to smooth data.
Weight coefficientλOccupy a critical roleBecause it plays a role of reconciliation, the image data (time stampT i ) Initial evaluation value of response speed of electrical data (current or voltage) to touch screenRIs a function of (a) and (b).
Weight coefficientλThe main effect of (1) is that it comprehensively considers two different types of data, namely image data and electrical data, to perform more comprehensive and accurate touch screen response speed evaluation. In particular the number of the elements, λIn this mathematical model, two main factors are used to balance:
（1）λ×(T i − τ): this part reflects mainly the image data, i.e. the time stamp of the touch point on the image frameT i ) Time to return to baseline level with current or voltageDifference between them.
（2）(1−λ)×f (T,E): this part is then a function of the electrical data, related to the timestamp of the peak value of the touch screen current or voltage.
Weight coefficientλIs typically based on empirical data or by an optimization algorithm. There are several ways to obtain this coefficient:
(1) Experimental measurement: by comparing differentλThe performance of the touch screen at this value can be determined empirically as an optimumλ。
(2) Fitting data: using historical data and mathematical optimization methods to find a touch screen that best reflects touch screen performanceλValues.
(3) Machine learning algorithm: more complex methods are to automatically find an optimization using machine learning algorithms, such as gradient descentλ。
Introducing weight coefficientsλHas the following beneficial effects:
(1) Flexibility: due toλCan vary between 0 and 1, which provides flexibility in adjusting the impact of different data types on the evaluation value.
(2) Comprehensively:λthe method ensures that both the image data and the electrical data can be comprehensively considered, thereby obtaining a more comprehensive touch screen response speed evaluation.
(3) Accuracy and reliability: suitable forλThe value can improve the evaluation valueRThereby providing powerful support for subsequent quality control, fault diagnosis, etc.
N is the number of data points associated with the point of contact at the touch test operation. The data points here may be time stampsIs and timestamp->Logarithmic (log). />Is the timestamp of the image frame in which the ith contact point appears or disappears on the touch screen, which can be obtained from the primary image sequence.
Is a timestamp of the peak value of the touch screen current or voltage associated with the occurrence or disappearance of the ith contact point, which can be obtained from the current or voltage change data sequence.
In other words, each time a contact point appears or disappears on the touch screen, and a peak of current or voltage is generated correspondingly, the pair of data (time of one image frameAnd the time of a current or voltage peak +.>) Is considered a data point. These data points are then used to calculate an initial estimate of the rate of reactionR。
For example, touch test operation is performed simultaneously for 10 contact points, each test point generates 2 pairs of timeInterval stampAnd timestamp->N=2×10=20.
The parameter isNIt helps to provide a more robust and reliable assessment because it takes into account multiple data points, rather than just a single event. In this way, the algorithm can provide a more comprehensive and accurate assessment of the reaction rate. This also increases the reliability and reliability of the assessment.
The baseline level is herein a reference level, typically the current or voltage level of the touch screen when the touch screen is not being contacted (i.e., in an inactive state). When a contact point appears or disappears, the current or voltage of the touch screen will generally change significantly, forming a peak. After this peak, the current or voltage gradually returns to this baseline level.
"τ is the time that the current or voltage returns to baseline when the contact point appears or disappears" is a conceptualized average time that is used to describe the average time required for the current or voltage to return from peak to baseline. The time required for the current or voltage to return from peak to baseline is not necessarily the same for all points of contact, but in this algorithm an average value may be usedτTo simplify the model.
In the practical application, the method has the advantages that,τan average value can be obtained by testing and observing multiple contact point events multiple times. By doing so, the parameter can in most cases provide a reasonable estimate, making the algorithm simpler and more efficient.
Using average valuesτIs a compromise aimed at balancing the complexity and accuracy of the algorithm. While this may introduce some errors, it greatly simplifies algorithms and calculations, especially in application scenarios where real-time or near real-time reactions are required. This simplification also helps to reduce computational costs and time, making the method easier to implement on a variety of devices and platforms.
The data acquisition frequency D refers to the number of times current or voltage data is acquired from the touch screen hardware per unit time. Typically expressed in Hz (hertz). For example, if the data acquisition frequency is 100 Hz, this means that 100 current or voltage data points are acquired per second.
The frequency of data acquisition has an important impact on the performance and accuracy of the algorithm. Higher data acquisition frequencies generally provide more data points, potentially increasing the accuracy of the algorithm. However, this also increases computational complexity and storage requirements. Therefore, in selecting an appropriate data acquisition frequency, the real-time requirements, hardware capabilities, and computing resources of the system need to be comprehensively considered.
The accuracy P of the time stamp refers to the accuracy in marking the time when a particular event (such as the occurrence or disappearance of a contact point, or the occurrence of a peak of current/voltage) occurs. This is typically expressed in milliseconds (ms) or microseconds (mus) and the like. The accuracy of the timestamp is related to the accuracy of the system internal clock or other time source.
The accuracy of the time stamp can also affect the accuracy of the algorithm. If the accuracy of the time stamp is low, then the time correspondence functionf (T,E) May be affected, resulting in inaccurate assessment of reaction rate.
Both D and P together influence the time corresponding functionf (T,E) Accuracy and confidence of the time difference. The selection of these two parameters needs to be performed according to the specific application scenario and hardware configuration to achieve both accurate and efficient results.
The comprehensive consideration of D and P can more accurately perform time correspondence, thereby improving the initial evaluation value of the reaction speedRAccuracy and reliability of (a). Meanwhile, reasonable D and P values can also ensure that the algorithm has good universality and portability under different types of equipment and conditions.
In the calculation formula of the initial value R of the reaction speed, R is a composite index and consists of two parts: time of a portion of an image frame with the point of contact appearing or disappearing on the touch screenIn relation, the other part is a time correspondence function f (T, E). These two parts are weighted by a weight coefficient +.>Weighted average is performed, weighting coefficient +.>Ranging between 0 and 1.
Time corresponding functionIs a cumulative sum of squares for quantizing the image frame time +.>And current or voltage peak timestamp +.>Differences between them. Here the number of the elements is the number,Dis the frequency of data acquisition and,Pis the accuracy of the time stamp and delta is a constant used to prevent the denominator from being zero, which can be obtained from experimental data.
In general, this step is a highly integrated and complex process involving multiple data types and algorithms. The method aims to obtain an accurate and comprehensive initial evaluation value of the response speed of the touch screen, and provides key data support for subsequent performance analysis and optimization.
Step S104: and if the initial evaluation value is out of the preset threshold range, performing high-precision processing, wherein the high-precision processing comprises the following steps: acquiring a high-frame-rate image sequence formed by touch test operation on a touch screen, wherein the high-frame-rate image sequence comprises images with a first preset duration from the beginning of the occurrence of a touch screen contact point to the disappearance of the contact point, and the frame rate of the high-frame-rate image sequence is larger than that of the primary image sequence; collecting first current or first voltage data of a touch screen during touch operation, and forming a first current or first voltage data sequence; a first evaluation value of the reaction speed of the touch screen is calculated based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence.
This step serves as an important decision node, and is specifically analyzed for whether the initial evaluation value falls outside the preset threshold range. This threshold range can be regarded as a quality control threshold, and once the initial evaluation value falls outside the preset threshold range, the test method will trigger a more accurate test procedure, i.e. high-precision processing.
And if the initial evaluation value is within the preset threshold range, the touch screen is considered to be in accordance with the standard, and the high-precision processing is not executed.
And acquiring clicking or sliding operation images of the touch screen to form a high-frame-rate image sequence, wherein the high-frame-rate image sequence comprises images with a first preset duration from the beginning of the occurrence of a touch point of the touch screen to the disappearance of the touch point. The use of a high frame rate image sequence facilitates more detailed observation of minute variations in touch operations, so that the reaction speed can be calculated more accurately. The preset time period here may be the same as or different from the preset time period of the primary image sequence, depending on the specific application requirements. The preset time period is long enough to capture the entire process from the first appearance of the contact point to complete disappearance. In this embodiment, the high frame rate is higher than the frame rate of the primary image sequence and should be higher than the standard video frame rate (typically 24 or 30 frames/second), e.g., 60 frames/second or higher, to obtain more data points and higher accuracy.
The current or voltage data can reflect the speed and sensitivity of the touch screen circuit response, further increasing the evaluation accuracy. The current or voltage data collected during the high precision processing stage is referred to as "first current or first voltage data" to distinguish it from the data of the initial testing stage. This ensures independence and accuracy of the data.
Further, the calculating, based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence, a first evaluation value of a reaction speed of the touch screen includes:
calculating dynamic time warping values DTW (A, B) and DTW (E, F), wherein the DTW (A, B) is obtained by calculating the similarity between the high-frame-rate image sequence A and a pre-stored standard operation image sequence B by using a dynamic time warping algorithm, and the pre-stored standard operation image sequence is obtained by executing the same touch test operation on the touch screen within the same first preset time length as the high-frame-rate image sequence and is used as a comparison reference; the calculation formula is as follows:
(equation 1)
The length of the high-frame-rate image sequence A is m, and the length of the prestored standard operation image sequence B is n;and->The j-th observation of sequence a and the i-th observation of sequence B, respectively.
DTW (E, F) calculates the similarity between the current or voltage variation data sequence E and the pre-stored standard current or voltage data sequence F using a dynamic time warping algorithm, the calculation formula of which is as follows:
wherein the length of the current or voltage change data sequence E is p; the length of the prestored standard current or voltage data sequence F is q; And->The kth observation of sequence E and the first observation of sequence F, respectively.
The first evaluation value Y is calculated according to the following formula:
wherein,and->Is a weight parameter.
Dynamic time warping (Dynamic Time Warping, DTW for short) is an algorithm for calculating the similarity between two time series. The algorithm is particularly applicable to two time series that differ slightly in speed and time scale but are similar in overall shape. In this step, DTW is used to calculate the similarity between the high frame rate image sequence and the current or voltage data sequence and the respective pre-stored standard sequences.
Min in equation 1 is a shorthand way of expressing a more complex computational process. The core of the DTW algorithm is to find an optimal time alignment such that the cumulative distance between the two time sequences a and B is minimized. Here "min" means that one alignment that minimizes DTW (a, B) is selected among all possible time alignment patterns.
Dynamic time warping (Dynamic Time Warping, DTW) is a classical algorithm for time series data warping. It can find a non-linear way to align two time sequences even if the two time sequences differ in length or shape. The DTW algorithm achieves optimal alignment between two time series by constructing a cost matrix and finding the path of the smallest cumulative distance.
Before performing the touch screen test, the experimenter needs to first acquire a pre-stored standard operation image sequence B and a standard current or voltage data sequence F. The pre-stored standard operation image sequence B is obtained by executing the same touch test operation on the touch screen within the same first preset time length as the high frame rate image sequence and is used as a comparison reference. It is to be noted that the standard operation image sequence B is obtained using a touch screen having a standard reaction speed under the same conditions as the high frame rate image sequence a is generated. Here, the same conditions include the same touch test operation, the same contact point, the same image capturing timing, the same brand of the same model of touch screen, and the like.
The pre-stored standard current or voltage data sequence F is obtained using a touch screen with standard reaction speed using the same conditions as the current or voltage variation data sequence. Here, the same conditions include the same touch test operation, the same contact point, the same model of touch screen of the same brand, the same voltage or current test point, the same data acquisition frequency of current or voltage data, and the like.
In touch screen testing, a high frame rate image sequence a and a current or voltage data sequence E are acquired in real time. These data require matching with a dynamic time warping algorithm to pre-stored standard data.
The weight parameters α and β are typically set by the experimenter according to the purpose of the experiment and the specific application scenario of the touch screen.
The weight parameters α and β are typically set by the experimenter according to the following factors:
(1) The purpose of the experiment is as follows: if the experiment is focused mainly on the image response performance of the touch screen, the parameter α may be set relatively high; conversely, the parameter β may be higher if the point of interest is in electrical performance.
(2) Application scene: different touch screen application scenarios (e.g., industrial control, entertainment, mobile devices, etc.) may have different requirements and priorities for image response and electrical performance, which will affect the setting of the weighting parameters.
In an industrial control environment, touch screens are often used to operate complex mechanical equipment and manage production flows. In this scenario, electrical properties (such as current stability and voltage response speed) may be considered to be very important factors. Thus, when performing touch screen performance testing for industrial control applications, the weight parameter β may be set relatively high, e.g., β > α, in order to more accurately evaluate electrical performance.
In entertainment applications (e.g., games, multimedia play, etc.), image response speed and accuracy are often more important considerations. In such an application scenario, the requirements for image quality and response speed are often higher than the stability of current and voltage. Thus, the weight parameter α may be set higher in this case, for example β < α.
For mobile devices such as smartphones and tablet computers, both electrical performance and image response are often important, but the particular priority may vary depending on the primary use of the device. For example, if the device is primarily used for video playback and gaming, the image response may be more important; and electrical performance may be even more critical if the device is primarily used for data acquisition or industrial applications. In such an application scenario, the weight parameters α and β may be set to be relatively balanced in order to fully evaluate the performance of the touch screen.
(3) Empirical data: previous experimental or test results may also provide a reference for the setting of weight parameters. For example, in some application scenarios, where it is known that the image response performance is more critical, reference may be made to the weight setting in the previous scenario.
(4) Optimization target: if the purpose of the test method is to optimize an aspect of the touch screen (e.g., to increase the image response speed or reduce current ripple), the corresponding weighting parameters may be set higher to give more attention to that aspect in the overall evaluation.
The calculated first evaluation value Y may be used for further touch screen performance analysis, quality control or user experience optimization.
Judging whether the reaction speed of the touch screen accords with a preset standard according to the first evaluation value, wherein the judging comprises the steps of;
if the first evaluation value Y is within a first preset threshold range, the touch screen is considered to accord with a preset standard;
and if the first evaluation value Y is out of the first preset threshold range, the touch screen is not considered to accord with the preset standard.
Instead of calculating the first evaluation value using the dynamic time warping method described above, the first evaluation value in this step may employ the same algorithm and calculation method as the initial evaluation value calculation in step S103,
at this time, the first evaluation value y1=。
Or the first evaluation value calculated by the dynamic time warping method is weighted and summed with the evaluation value obtained by the same algorithm as the initial evaluation value calculated by the step S103 to obtain a new first evaluation value, and whether the touch screen meets the requirements is judged by using the new first evaluation value.
At this time, the first evaluation value y2=Y1 + />Y, wherein->And->Is a weight parameter.
Similarly, in step S103, the method of calculating the first evaluation value in this step may be used to calculate the initial evaluation value of the response speed of the touch screen, or the initial evaluation value calculated by using the dynamic time warping method in step S104 may be weighted and summed with the initial evaluation value obtained by using the algorithm of calculating the initial evaluation value in step S103 to obtain a new initial evaluation value. It will be apparent to those skilled in the art from this disclosure that the present invention is not limited to the specific embodiments described herein.
It is to be noted here that, in addition to increasing the frame rate of the image sequence, the data acquisition frequency of acquiring current or voltage data from the touch screen hardware, the accuracy of the time stamp may be increased to obtain a high-accuracy first evaluation value.
The first evaluation value should provide a higher accuracy than the initial evaluation value. This is particularly important because this high-precision processing flow is triggered only if the initial evaluation value fails to meet the preset threshold range requirement.
By the high-precision processing mechanism, the testing method adopted by the embodiment can carry out more strict and accurate evaluation on touch screens which may have problems or need to be further confirmed after preliminary screening, so as to ensure that the performance of the touch screens reaches the preset standard of equipment manufacturers or users.
Step S105: and judging whether the reaction speed of the touch screen meets a preset standard according to the first evaluation value.
This step is based on the "first evaluation value" obtained by the foregoing high-precision processing, as a decision basis for judging the touch panel performance. The first evaluation value is a key value or index, and has high weight and decision value. The preset criteria may be derived from manufacturer performance requirements, industry standards, or user expectations, etc.
One possible implementation is to directly compare the first evaluation value with a preset standard range.
In addition to the reaction rate, the preset criteria may also include other performance indicators, such as sensitivity, accuracy, etc. In this case, the first evaluation value may be a comprehensive representation of a plurality of performance indexes, and comprehensive judgment is required by a more complex algorithm or model.
If the first evaluation value falls within the preset criteria, the touch screen may be considered to be acceptable and further testing or calibration may be optional. If the first evaluation value does not fall within the preset criteria, this generally means that the touch screen requires further optimization or modification. Other test procedures or corrective actions, such as hardware adjustments, software algorithm optimizations, etc., may be triggered at this time.
Through the step, the testing method not only completes quantitative evaluation of the performance of the touch screen, but also provides an explicit and operable decision flow, and is helpful for ensuring that the touch screen achieves the expected performance standard. This is of great value for quality control, product iteration and user experience optimization of touch screens.
Further, according to the first evaluation value, whether the reaction speed of the touch screen meets the preset standard or not is judged, and environmental factors including temperature and humidity are considered.
One significant feature of the touch screen testing method is that it not only determines whether the reaction speed of the touch screen meets the preset standard according to the first evaluation value, but also considers environmental factors. Environmental factors here include temperature, humidity and external illumination. It is critical to consider these factors because they can have a significant impact on the speed of the touch screen's reaction. For example, too high or too low a temperature may affect the measurement of current or voltage, humidity may affect the capacitive response of the touch screen, and external illumination may affect the quality of the image sequence. By incorporating these additional environmental factors, the test method can provide a more comprehensive, accurate assessment of reaction rate.
A touch screen test method is assumed that calculates a first evaluation value of the reaction speed based on the image sequence and the current (or voltage) change data. Specifically, this evaluation value is calculated by a specific algorithm or mathematical model as described above that takes into account the time stamp of the image frame and the current or voltage variations.
Now, in order to make this test method more comprehensive and accurate, additional environmental factors are introduced: temperature, humidity and external illumination. These data are acquired by means of sensors, either internal or external.
Temperature: assume that the temperature sensor reads data at 28 ℃. Because electronic devices may exhibit different current or voltage characteristics at high temperatures, a correction factor may be used to adjust the current or voltage data. For example, if the current exhibits a 10% increase at 28 ℃, then the raw current data is multiplied by a correction factor of 0.9 when calculating the reaction rate.
Humidity: assume that the humidity sensor reads 60%. Humidity may affect the capacitive response of the touch screen surface. If the capacitive response speed of the touch screen is reduced by 5% at 60% humidity, the calculation of the evaluation finger of the response speed will use a correction factor, for example 0.95, accordingly.
Further, the data of the environmental factors originate from an internal or external environmental sensor.
Built-in sensors are typically integrated into the touch screen or related hardware, which has the advantage of facilitating the simultaneous acquisition of a variety of data, but may be affected by internal factors such as the device's own heating. The external sensor can perform environmental monitoring independently of the test equipment, so that more accurate environmental data can be provided, but additional hardware and a data synchronization mechanism are needed.
In the above embodiment, a touch screen testing method is provided, and correspondingly, the application further provides a touch screen testing device. Please refer to fig. 2, which is a schematic diagram of an embodiment of a touch screen testing apparatus according to the present application. Since this embodiment, i.e. the second embodiment, is substantially similar to the method embodiment, the description is relatively simple, and reference should be made to the description of the method embodiment for relevant points. The system embodiments described below are merely illustrative.
A second embodiment of the present application provides a touch screen testing device, including:
an image unit 201, configured to acquire a touch test operation image of the touch screen, and form a primary image sequence, where the primary image sequence includes images of a preset duration from when a touch point of the touch screen starts to appear to when the touch point disappears;
the acquisition unit 202 is configured to acquire current or voltage data of the touch screen during a touch test operation, and form a current or voltage data sequence;
a calculation unit 203 for calculating an initial evaluation value of the touch screen reaction speed based on the primary image sequence and the current or voltage data sequence;
a determining unit 204, configured to perform high-precision processing if the initial evaluation value falls outside a preset threshold range, where the high-precision processing includes: acquiring a high-frame-rate image sequence formed by touch test operation on a touch screen, wherein the high-frame-rate image sequence comprises images with a first preset duration from the beginning of the occurrence of a touch screen contact point to the disappearance of the contact point, and the frame rate of the high-frame-rate image sequence is larger than that of the primary image sequence; collecting first current or first voltage data of a touch screen during touch operation, and forming a first current or first voltage data sequence; calculating a first evaluation value of the response speed of the touch screen based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence;
And the judging unit 205 is configured to judge whether the response speed of the touch screen meets a preset standard according to the first evaluation value.
A third embodiment of the present application provides an electronic apparatus including:
a processor;
and a memory for storing a program which, when read and executed by the processor, performs the touch screen testing method provided in the first embodiment of the present application.
A fourth embodiment of the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the touch screen testing method provided in the first embodiment of the present application.
While the application has been described in terms of preferred embodiments, it is not intended to be limiting, but rather, it will be apparent to those skilled in the art that various changes and modifications can be made herein without departing from the spirit and scope of the application as defined by the appended claims.
Claims (10)
1. A touch screen testing method, comprising:
acquiring a touch test operation image of a touch screen to form a primary image sequence, wherein the primary image sequence comprises images with preset duration from the beginning of the occurrence of a touch point of the touch screen to the disappearance of the touch point;
Collecting current or voltage data of a touch screen during touch test operation to form a current or voltage data sequence;
calculating an initial evaluation value of the response speed of the touch screen based on the primary image sequence and the current or voltage data sequence;
and if the initial evaluation value is out of the preset threshold range, performing high-precision processing, wherein the high-precision processing comprises the following steps: acquiring a high-frame-rate image sequence formed by touch test operation on a touch screen, wherein the high-frame-rate image sequence comprises images with a first preset duration from the beginning of the occurrence of a touch screen contact point to the disappearance of the contact point, and the frame rate of the high-frame-rate image sequence is larger than that of the primary image sequence; collecting first current or first voltage data of a touch screen during touch operation, and forming a first current or first voltage data sequence; calculating a first evaluation value of the response speed of the touch screen based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence;
and judging whether the reaction speed of the touch screen meets a preset standard according to the first evaluation value.
2. The method according to claim 1, wherein the step of performing the high-precision processing is not performed if the initial evaluation value falls within the preset threshold value range, and the touch screen is considered to be in compliance with a standard.
3. The touch screen testing method of claim 1, wherein the initial evaluation value of the reaction speed can be obtained by the following formula:
where R is an initial evaluation value of the reaction rate; n is the number of data points associated with the point of contact at the touch test operation;is a weight coefficient between 0 and 1 for balancing the effect of image data and current or voltage data on the reaction rate assessment; />Is the time at which the current or voltage returns to a baseline level after the contact point appears or disappears, which is the current or voltage level when no touch operation is performed; />Is the timestamp of the image frame in which the ith contact point appears or disappears on the touch screen; />Is a function describing the relationship between touch time and current or voltage variation, defined as follows:
wherein,is the peak timestamp of the touch screen current or voltage associated with the ith contact point; d is the data acquisition frequency of acquiring current or voltage data from the touch screen hardware; p is the precision of the timestamp; delta is a constant used to smooth data.
4. The touch screen testing method of claim 1, wherein the frame rate of the high frame rate image sequence is 60 frames/second or higher.
5. The method for testing a touch screen according to claim 1, wherein the weight coefficient λ is dynamically adjustable according to a preset performance index.
6. The method for testing a touch screen according to claim 1, wherein determining whether the response speed of the touch screen meets the preset standard according to the first evaluation value further considers environmental factors including temperature and humidity.
7. The touch screen testing method of claim 6, wherein the data of the environmental factors originate from an internal or external environmental sensor.
8. The method according to claim 1, wherein the calculating a first evaluation value of the response speed of the touch screen based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence comprises:
calculating dynamic time warping values DTW (A, B) and DTW (E, F), wherein the DTW (A, B) is obtained by calculating the similarity between the high-frame-rate image sequence A and a pre-stored standard operation image sequence B by using a dynamic time warping algorithm, and the pre-stored standard operation image sequence B is obtained by executing the same touch test operation on the touch screen within the same first preset time length as the high-frame-rate image sequence and is used as a comparison reference; the calculation formula is as follows:
The length of the high-frame-rate image sequence A is m, and the length of the prestored standard operation image sequence B is n;
DTW (E, F) calculates the similarity between the current or voltage variation data sequence E and the pre-stored standard current or voltage data sequence F using a dynamic time warping algorithm, the calculation formula of which is as follows:
wherein the length of the current or voltage change data sequence E is p; the length of the prestored standard current or voltage data sequence F is q;
the first evaluation value Y is calculated according to the following formula:
wherein,and->Is a weight parameter.
9. The method for testing a touch screen according to claim 8, wherein the step of determining whether the response speed of the touch screen meets a preset criterion according to the first evaluation value comprises;
if the first evaluation value Y is within a first preset threshold range, the touch screen is considered to accord with a preset standard;
and if the first evaluation value Y is out of the first preset threshold range, the touch screen is not considered to accord with the preset standard.
10. A touch screen testing device, comprising:
the image unit is used for acquiring touch test operation images of the touch screen to form a primary image sequence, wherein the primary image sequence comprises images with preset duration from the beginning of the occurrence of touch screen contact points to the disappearance of the contact points;
The acquisition unit is used for acquiring current or voltage data of the touch screen during touch test operation to form a current or voltage data sequence;
a calculation unit for calculating an initial evaluation value of the touch screen reaction speed based on the primary image sequence and the current or voltage data sequence;
the judging unit is used for carrying out high-precision processing if the initial evaluation value is out of a preset threshold range, and comprises the steps of obtaining a high-frame-rate image sequence formed by touch test operation on the touch screen, wherein the high-frame-rate image sequence comprises images with a first preset duration from the beginning of the occurrence of a touch point of the touch screen to the disappearance of the touch point, and the frame rate of the high-frame-rate image sequence is larger than that of the primary image sequence; collecting first current or first voltage data of a touch screen during touch operation, and forming a first current or first voltage data sequence; calculating a first evaluation value of the response speed of the touch screen based on the high frame rate image sequence of the touch screen and the first current or first voltage data sequence;
and the judging unit is used for judging whether the reaction speed of the touch screen accords with a preset standard according to the first evaluation value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311346388.6A CN117116172B (en) | 2023-10-18 | 2023-10-18 | Touch screen testing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311346388.6A CN117116172B (en) | 2023-10-18 | 2023-10-18 | Touch screen testing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117116172A true CN117116172A (en) | 2023-11-24 |
| CN117116172B CN117116172B (en) | 2024-01-16 |
Family
ID=88798645
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311346388.6A Active CN117116172B (en) | 2023-10-18 | 2023-10-18 | Touch screen testing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117116172B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110077536A (en) * | 2009-12-30 | 2011-07-07 | 이종욱 | Apparatus for measuring response time of electrostatic capacity type touch screen panel |
| US20130307856A1 (en) * | 2012-05-16 | 2013-11-21 | Brian E. Keane | Synchronizing virtual actor's performances to a speaker's voice |
| EP2854014A1 (en) * | 2013-09-30 | 2015-04-01 | BlackBerry Limited | User-trackable moving image for control of electronic device with touch-sensitive display |
| CN104679307A (en) * | 2013-11-27 | 2015-06-03 | 中国移动通信集团公司 | Method and device for detecting sliding sensitivity of touch screen |
| CN106569081A (en) * | 2016-10-26 | 2017-04-19 | 武汉华星光电技术有限公司 | Self-capacitance embedded touch screen defect detection device and detection method |
| CN111405218A (en) * | 2020-03-26 | 2020-07-10 | 深圳市微测检测有限公司 | Touch screen time delay detection method, system, device, equipment and storage medium |
| CN111858318A (en) * | 2020-06-30 | 2020-10-30 | 北京百度网讯科技有限公司 | Response time testing method, device, equipment and computer storage medium |
| CN115658410A (en) * | 2022-12-29 | 2023-01-31 | 北京东舟技术股份有限公司 | Method and system for testing fluency of touch screen of electronic equipment and storage medium |
| CN115904845A (en) * | 2022-12-07 | 2023-04-04 | 上海怿星电子科技有限公司 | Test information acquisition method and device, test device, electronic device, and medium |
-
2023
- 2023-10-18 CN CN202311346388.6A patent/CN117116172B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110077536A (en) * | 2009-12-30 | 2011-07-07 | 이종욱 | Apparatus for measuring response time of electrostatic capacity type touch screen panel |
| US20130307856A1 (en) * | 2012-05-16 | 2013-11-21 | Brian E. Keane | Synchronizing virtual actor's performances to a speaker's voice |
| EP2854014A1 (en) * | 2013-09-30 | 2015-04-01 | BlackBerry Limited | User-trackable moving image for control of electronic device with touch-sensitive display |
| CN104679307A (en) * | 2013-11-27 | 2015-06-03 | 中国移动通信集团公司 | Method and device for detecting sliding sensitivity of touch screen |
| CN106569081A (en) * | 2016-10-26 | 2017-04-19 | 武汉华星光电技术有限公司 | Self-capacitance embedded touch screen defect detection device and detection method |
| CN111405218A (en) * | 2020-03-26 | 2020-07-10 | 深圳市微测检测有限公司 | Touch screen time delay detection method, system, device, equipment and storage medium |
| CN111858318A (en) * | 2020-06-30 | 2020-10-30 | 北京百度网讯科技有限公司 | Response time testing method, device, equipment and computer storage medium |
| CN115904845A (en) * | 2022-12-07 | 2023-04-04 | 上海怿星电子科技有限公司 | Test information acquisition method and device, test device, electronic device, and medium |
| CN115658410A (en) * | 2022-12-29 | 2023-01-31 | 北京东舟技术股份有限公司 | Method and system for testing fluency of touch screen of electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117116172B (en) | 2024-01-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104468916B (en) | Based on handset response time test method | |
| CN104834597B (en) | Using the measuring method and system of response time | |
| JP5664064B2 (en) | Gaze detection device and correction coefficient calculation program | |
| WO2015196601A1 (en) | Method, apparatus and device for testing response time of user interface, and storage medium | |
| KR20160079862A (en) | Sensor data time alignment | |
| CN104679307B (en) | A kind of detect touches the method and device that screen slides sensitivity | |
| WO2017012526A1 (en) | Step counting method, device and terminal | |
| CN106528389A (en) | Performance evaluation method and device for system smoothness and terminal | |
| WO2023197933A1 (en) | Signal processing method and apparatus, and electronic device and medium | |
| CN116126580B (en) | Touch display control method, device, equipment and storage medium | |
| CN111555938A (en) | Information processing method and related device | |
| CN104301484A (en) | Method for showing mobile phone program change process | |
| CN110290453B (en) | Delay testing method and system of wireless playing device | |
| CN117116172B (en) | Touch screen testing method and device | |
| CN105718363B (en) | Mobile phone response starting time point acquisition methods and device | |
| CN112783707A (en) | Method and system for measuring click response time of touch screen | |
| CN111669479A (en) | Method and system for verifying synchronous exposure of camera and electronic equipment | |
| CN111047049B (en) | Method, device and medium for processing multimedia data based on machine learning model | |
| CN109540192B (en) | Time delay measuring method and device of motion capture system and storage medium | |
| CN109857660A (en) | Project measurement method, system, device and computer readable storage medium | |
| CN110826422A (en) | System and method for obtaining motion parameter information | |
| CN115834958A (en) | Touch screen writing delay test method and device | |
| CN112995650B (en) | Method and device for detecting video continuity of camera | |
| CN109065145B (en) | Electrocardio data processing method and device and storage medium | |
| KR101194367B1 (en) | Inspection apparatus and methode for user interface |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |