WO2016033945A1

WO2016033945A1 - Eye movement measurement method and system

Info

Publication number: WO2016033945A1
Application number: PCT/CN2015/072765
Authority: WO
Inventors: 栗觅; 吕胜富; 王晓东; 钟宁
Original assignee: 北京工业大学
Priority date: 2014-09-01
Filing date: 2015-02-11
Publication date: 2016-03-10
Also published as: CN104146680A

Abstract

An eye movement measurement method and system; by means of acquiring the current focus point position coordinates x _i and y _i and the next focus point position coordinates x _i+1 and y _i+1 during the process of eye movement, said method calculates, on the basis of said coordinate values, the eye movement vector angle θ_i, the eye movement vector amplitude D_i, the horizontal eye movement angle θ'_i, and/or the eye movement slopeK_i, and can thereby accurately and comprehensively indicate the direction and slope degree of eye movement, thus providing a new research method for psychological medicine associated with eye movement.

Description

Method and system for measuring eye movement

Technical field

The invention belongs to the technical field of diagnostic measurement, and in particular relates to a method and a system for measuring eye movement.

Background technique

More than 90% of the information that humans receive from the outside world comes from the eyes. Psychologists have long studied the psychological process by directly observing eye movements. They believe that eye movement is a direct response of the visual process and reflects a variety of human recognition. Knowledge activities are influenced by a variety of cognitive factors, such as eye movements and cognitive, psychological activities such as attention, memory, reasoning, and reading.

The study of eye movements in reading dates back to the work of French scholars Lamare and Jaral and Heuy at the end of the 19th century. Since then, people have tried to understand the cognitive process behind reading by studying the order of gaze points in the eye movements and the beating of the eyes. In the past 20 years, due to the deepening of psycholinguistic research and the development of eye-moving technology, researchers have begun to try to make eye movements an indicator of the human reading process.

Human behavior recognition is an important application of pattern recognition. In recent years, a lot of research has been done on the recognition of brain cognitive status. For example, the Saliency map model proposed in the field of computer vision can predict the gaze position when humans observe natural scenes, indicating that the state recognition based on eye movement is feasible. Saliency map theory believes that attentional changes and rapid eye movements are determined by the most prominent local features of the visual, and because of the visual return suppression, attention can be moved from one of the most prominent positions to the next prominent position. The Saliency map provides a control mechanism for dynamically locating eye movements, indicating that different modes exist for eye movements.

The eye movement mode is a trajectory diagram of eye movement and is a directed graph. In the prior art, the measurement indicators describing the eye movement characteristics generally include the fixation point position, the fixation time, the number of fixations, the fixation frequency, the eye movement distance, and the like, and the eye movements are described from different angles by measuring the indicators. However, the above test The quantity index cannot describe the direction of eye movement and the degree of eye movement tilt, and cannot fully describe the eye movement mode.

Summary of the invention

The object of the present invention is to provide a method and a system for measuring eye movements, which measure the eye movement direction and the degree of eye movement tilt in the eye movement mode, and more fully describe the eye movement, and provide a new psychology related to eye movement. Research method.

According to an aspect of the present invention, a method for measuring eye movement is provided, the method comprising: acquiring position coordinates x _i , y _i of a current fixation point i and position coordinates of a next fixation point i+1 during an eye movement _{_{x i + 1, y i +}} 1, where i = 1, ..., n, n>1; according to x _{_i,} y _i and _{_{x i + 1, y i +}} 1 calculates the eye vector angle θ _i; The x _i , y _i and x _i+1 , y _i+1 calculate the eye movement vector width D _i ; and calculate the horizontal eye movement angle θ′ _j according to x _i , y _i and x _i+1 , y _i+1 .

Here, the eye movement slope K _i is calculated by calculating the tangent value of the horizontal eye movement angle θ' _j .

Preferably, the calculating the eye movement vector angle θ _i according to x _i , y _i and x _i+1 , y _i+1 comprises: step S21, calculating the eye movement acute angle α _i by the following formula (1):

α _i =tan ^-1 (|(y _i+1 -y _i )/(x _i+1 -x _i )|), x _i ≠x _i+1 (1);

In step S22, the eye movement vector angle θ _{i is} calculated by the following formula (2):

Preferably the step of, according to the x _{_i,} y _i and _{_{x i + 1, y i +}} 1 is calculated motion vector eye web of D _i comprises: by the following equation (3) calculates the eye vector web D _i:

Preferably, according to the x _{_i,} y _i and _{_{x i + 1, y i +}} 1 is calculated horizontal eye angle θ _'j comprises the step of: calculating by the following formula (4) horizontal eye angle θ' _j:

According to another aspect of the present invention, there is provided a measurement system for eye movement, the system comprising: a position acquisition unit 1 for acquiring position coordinates x _i , y _{i of the} current fixation point and the next one during eye movement a position coordinate x _i+1 , y _{i+1 of the} fixation point; an eye movement vector calculation unit 2 connected to the position acquisition unit 1 for position coordinates x _i , y _i and x _i+ acquired according to the position acquisition unit ₁ , y _i+1 calculates an eye movement vector, including an eye movement vector angle θ _i and a calculation eye movement vector width D _i ; and an eye movement slope calculation unit 3, connected to the position acquisition unit 1 for acquiring according to the position The position coordinates x _i , y _i and x _i+1 , y _i+1 acquired by the unit calculate the eye movement gradient, including the eye movement eye movement horizontal eye angle θ' _j and the eye movement slope K _i .

Preferably, the eye movement vector calculation unit 2 performs an operation of calculating an eye movement vector angle θ _i : calculating an eye movement acute angle α _i by the following formula (1):

α _i =tan ^-1 (|(y _i+1 -y _i )/(x _i+1 -x _i )|), x _i ≠x _i+1 (1);

The eye movement vector angle θ _{i is} calculated by the following formula (2):

Preferably, the eye movement vector calculation unit 2 calculates the eye movement vector width D _i by the following formula (3):

Preferably, the eye movement gradient calculating unit 3 performs an operation of calculating a horizontal eye movement angle θ' _j and an eye movement slope K _i : calculating a horizontal eye movement angle θ' _j by the following formula (4):

By the formula K _{_i} = tanθ _'i calculated eye slope K _i.

Optionally, the system further includes an eye movement pattern recognition unit 4 connected to the eye movement vector calculation unit 2 and the eye movement gradient calculation unit 3 for recognizing the eye movement according to the eye movement vector and the eye movement gradient value. mode.

As described above, the present invention provides a method and system for measuring eye movements, which are based on a multi-dimensional eye movement mode, by measuring and calculating an eye of a current gaze point to a next fixation point during eye movement. Eye movement indicators such as motion vector angle θ _i , eye movement vector amplitude D _i , horizontal eye movement angle θ′ _j and/or eye movement slope K _i accurately and comprehensively characterize eye movement direction and eye movement inclination in eye movement The degree makes up for the deficiency of the eye movement index in the prior art for the characterization of the eye movement pattern, enriches and verifies the prior art eye movement index system, and more fully describes the eye movement, providing psychology for eye movement related New research methods.

DRAWINGS

1 is a schematic diagram of a multi-dimensional eye movement mode indicator in the prior art;

2 is a schematic flow chart of an eye movement measurement method according to a preferred embodiment of the present invention;

3 is a schematic view of each eye movement index in the eye movement measurement method of the present invention;

4 is a view showing an eye movement trajectory of the eye movement measuring method of the present invention in a text reading and a graphic reading mode;

Figure 5 is a comparison diagram of eye movement indicators in the text reading and picture reading modes shown in Figure 4;

6 is a comparison diagram of an eye movement index and a prior art eye movement index according to a preferred embodiment of the present invention;

Fig. 7 is a view showing the structure of an eye movement measuring system of the present invention.

Specific implementation method

The present invention will be further described in detail below with reference to the specific embodiments thereof and the accompanying drawings. It should be understood that these descriptions are just examples. It is not intended to limit the scope of the invention. In addition, descriptions of well-known structures and techniques are omitted in the following description in order to avoid unnecessarily obscuring the inventive concept.

FIG. 1 is a schematic diagram of a multi-dimensional eye movement mode indicator in the prior art.

As shown in FIG. 1 , in the prior art, an eye movement index for describing an eye movement feature generally includes a gaze point position, a gaze time, a gaze number, a gaze frequency, an eye movement distance, and the like, only from a dimension of space and a dimension of time. The description of the eye movement, but can not describe the direction of the eye movement and the degree of tilt of the eye movement, can not fully describe the movement of the eye.

It is worth mentioning that, in the description of the position of the fixation point, a two-dimensional coordinate system is usually established, and the coordinates of the X-axis and the Y-axis are measured to describe the position information of the fixation point.

2 is a flow chart showing an eye movement measurement method according to a preferred embodiment of the present invention.

As shown in FIG. 2, the eye movement measurement method of this embodiment includes the following steps:

In step S1, the position coordinates x _i , y _i of the current fixation point i and the position coordinates x _i+1 , y _{i+1 of the} next fixation point i+1 are acquired during the eye movement.

In step S2, the eye movement vector angle θ _{i is} calculated from x _i , y _i and x _i+1 , y _i+1 .

In step S3, the eye movement vector width D _{i is} calculated according to x _i , y _i and x _i+1 , y _i+1 .

In step S4, the horizontal eye movement angle θ' _{j is} calculated from x _i , y _i and x _i+1 , y _i+1 .

Wherein, the steps S2, S3, and S4 are not sequentially required, and the three steps can be freely combined, one of the indicators can be measured, or two or more of the indicators can be measured, and one of the measured ones is measured. Two or more indicators measure and characterize eye movements.

Optionally, the method may further include:

In step S5, the eye movement slope K _i , i.e., K _i =tan θ' _i , is calculated by calculating the tangent value of the horizontal eye movement angle θ' _j .

When step S5 is included, step S4 is generally included.

In addition, the method may further include: generating a multi-dimensional eye movement mode including the position coordinates x _i , y _{i of the} current fixation point and the position information of the position coordinates x _i+1 , y _i+1 of the next fixation point. In the eye movement mode, the eye movement trajectory map is a directed graph composed of n gaze point position dimension information, i=1, . . . , n, n>1.

In this embodiment, the eye movement vector angle θ _i and the eye movement vector width D _i may together constitute a variable describing the eye movement, that is, the eye movement vector, where the eye movement vector refers to the completion of the eye movement from the current position to the next time. Eye movement direction and eye movement step in one position. That is to say, the eye movement vector includes two attributes of the eye movement vector angle θ _i and the eye movement vector width D _i , and the eye movement vector angle represents the eye movement direction of the eye movement vector, and the variation range of the eye movement vector angle is [0°, 360°]; The eye movement vector width represents the eye movement step or eye movement distance of the eye movement vector. In the specific application process, an eye movement vector including two attributes of the eye movement vector angle θ _i and the eye movement vector width D _i may be used as an eye movement index, or an eye movement vector angle θ _i and eye movement may be used. The vector image D _i serves as two eye movement indicators.

Preferably, step S2 shown in FIG. 2 may further include:

In step S21, the eye movement acute angle α _{i is} calculated by the following formula (1):

α _i =tan ^-1 (|(y _i+1 -y _i )/(x _i+1 -x _i )|)x _i ≠x _i+1 (1);

Preferably, step S3 shown in FIG. 2 includes:

The eye movement vector width D _{i is} calculated by the following formula (3):

The horizontal eye movement angle θ' _j and the eye movement slope K _i in this embodiment can be used to describe the eye movement inclination of the eye movement, and the eye movement inclination here refers to the degree of eye movement inclination. The eye movement vector angle can only indicate the eye movement direction, but cannot indicate the eye movement inclination. For example, the eye movement inclination angle of the eye movement vector angle θ _i =175° is smaller than the eye movement inclination angle of the eye movement vector angle θ _i =50°. Eye movement slope can make up for this deficiency.

The horizontal eye movement angle from the current fixation point position (i) to the next fixation point position (i+1) is θ' _i , the eye movement slope is K _i =tan θ′ _i , and the horizontal eye movement angle varies by [0] °, 90°].

Preferably, step S4 shown in FIG. 2 may further be:

The horizontal eye movement angle θ' _{j is} calculated by the following formula (4):

The eye movement slope K _i has a tangent correlation with the horizontal eye movement angle θ′ _j , that is, the eye movement slope K _i is calculated by the following formula:

K _i = tan θ' _i .

Fig. 3 is a schematic view showing respective eye movement indexes in the eye movement measuring method of the present invention.

As shown in FIG. 3, in the eye movement measurement method of the present invention, the movement of the eyeball from the fixation point i to the fixation point i+1 is characterized by measuring the eye movement indexes θ _i , D _i , θ′ _j , K _i .

As shown in Fig. 3(a), during the eye movement from the fixation point i to the fixation point i+1, the eye movement vector angle θ _i represents the direction of the eye movement, and the eye movement vector amplitude D _i represents the eye movement step. Here, the eye movement vector angle θ _i is an acute angle.

In the example of Fig. 3(b), the eye movement vector angle θ _i is an obtuse angle. In Fig. 3(c), the eye movement vector angle θ _{i is} greater than 180° and less than 270°; in Fig. 3(d), the eye movement vector angle θ _{i is} greater than 270° and less than 360°. It can be concluded from the definition and example of the eye movement vector angle that the range of the eye movement vector angle θ _i is [0°, 360°].

Referring to Fig. 3(e), Fig. 3(e) is the horizontal eye movement angle θ' _j and the corresponding eye movement slope K _i calculated in the case of the same eye movement as the example shown in Fig. 3(a). Although the eye movement vector angle can represent the eye movement direction, it cannot represent the eye movement inclination, and the horizontal eye movement angle θ' _j and the corresponding eye movement slope K _i can be used to describe the eye movement inclination of the eye movement, that is, The degree of eye movement tilt.

Figure 3 (f) is the horizontal eye movement angle θ' _j and the corresponding eye movement slope K _i calculated in the same eye movement as shown in Figure 3 (b), the horizontal eye movement angle θ' _j is an acute angle; (g) is the horizontal eye movement angle θ' _j calculated in the same eye movement as shown in Fig. 3(c) and the corresponding eye movement slope K _i , and the horizontal eye movement angle θ' _j is an acute angle; Fig. 3 (h) The horizontal eye movement angle θ' _j and the corresponding eye movement slope K _i calculated in the case of the same eye movement as shown in Fig. 3(d), the horizontal eye movement angle θ' _j is an acute angle. It can be seen that the horizontal eye movement angle θ' _j varies by [0°, 90°].

4 is a view showing an eye movement trajectory of the eye movement measuring method of the present invention in a text reading and a graphic reading mode, wherein FIG. 4(a) shows an eye movement trajectory diagram when the text is read in the embodiment, FIG. (b) shows an eye movement trajectory diagram when the figure is read in the present embodiment.

As shown in FIG. 4(a), by recording the 31 gaze points when reading the text information, using the eye movement measurement method of the present invention, the eye movement vector angle θ _i and the eye movement vector width corresponding to 30 eye movements are calculated. D _i , horizontal eye movement angle θ' _j and eye movement slope K _i .

Table 1 shows various eye movement data in the text reading mode shown in Fig. 4(a). The description of the eye movements shown in Fig. 4(a) can be quantified by Table 1. For example, from the fixation point 1 to the fixation point 2, the eye movement vector angle θ _i is 5.91°, the eye movement vector width D _i is 87.46, the horizontal eye movement angle θ′ _j is 5.91°, and the eye movement slope K _i is 0.10.

As shown in FIG. 4(b), by recording the 31 gaze points when reading picture information, using the method for measuring eye movement of the present invention, the eye movement vector angle θ _i and the eye movement vector corresponding to 30 eye movements are calculated. The amplitude D _i , the horizontal eye movement angle θ' _j and the eye movement slope K _i .

Table 2 shows various eye movement data in the graphic reading mode shown in Fig. 4(b). The description of the eye movements shown in Fig. 4(b) can be quantified by Table 2. For example, from the fixation point 10 to the fixation point 11, the eye movement vector angle θ _i is 85.26°, the eye movement vector width D _i is 205.70, the horizontal eye movement angle θ′ _j is 85.26°, and the eye movement slope K _i is 12.06.

Table 1

Table 2

5 is a comparison diagram of eye movement indicators in the text reading and picture reading modes shown in FIG. 4, wherein the black bars represent the eye movement indicators θ _i , D _i , θ′ _j of the text reading shown in FIG. 4( a ). The average value of K _i and the white bar indicate the average value of the eye movement indexes θ _i , D _i , θ′ _j , and K _i at the time of text reading shown in FIG. 4( b ).

Fig. 5(a) is a comparison diagram of the eye movement vector angle θ _i . As shown in Fig. 5(a), the average value of the eye movement vector angle when reading text is 135.39°, which is smaller than the average value of the eye movement vector angle when reading the picture. At 171.33°, it can be seen that in the picture reading mode, the eye movement vector angle of the eye movement is larger than in the text reading mode.

Fig. 5(b) is a comparison diagram of the eye movement vector width D _i . As shown in Fig. 5(b), the average value of the eye movement vector when reading the text is 126.21, and the average value of the eye movement vector when reading the picture is 163.32, it can be seen that in the picture reading mode, the eye movement vector of the eye movement is larger than that in the text reading mode.

Fig. 5(c) is a comparison diagram of the horizontal eye movement angle θ' _j . As shown in Fig. 5(c), the average horizontal eye movement angle when reading the text is 6.04°, and the average horizontal eye movement angle when reading the picture is shown. The value is 30.52°. It can be seen that in the picture reading mode, the horizontal eye movement angle of the eye movement is larger than that in the text reading mode.

Figure 5 (d) is a comparison of the eye movement slope K _i , as shown in Figure 5 (d), the average eye movement slope when reading text is 0.41, and the average eye movement slope when reading the picture is 7.22, visible In the picture reading mode, the eye movement slope of the eye movement is larger than in the text reading mode.

Text and pictures are two different ways of organizing information, so there are subtle differences in their eye movement patterns. This kind of subtle difference is difficult to use the accurate and comprehensive expression of existing eye movement indicators. In the present invention, the use of the eye movement vector and the eye movement gradient to characterize the direction and the degree of the eye movement inclination can compensate for the insufficiency of the eye movement direction and the eye movement inclination in the eye movement mode in the prior art, thereby further Accurate and comprehensive description of eye movements.

Figure 6 is a comparison of eye movement indicators and prior art eye movement indicators in a preferred embodiment of the present invention.

In Fig. 6, the a column indicates the eye movement vector classification correct rate, the b column indicates the eye movement slope classification correct rate, c indicates the prior art column pupil diameter classification correct rate, and d indicates the prior art column eye distance classification. The correct rate, e represents the correct rate of column gaze time classification in the prior art, and f represents the classification correct rate of column gaze times in the prior art.

In the comparison test of the classification results of the eye movement index, firstly, the eye movement mode information of 34 test subjects reading 20 different texts and 20 different pictures is obtained using the eye movement device, and then using the support vector machine based on the present embodiment. The eye movement indicators θ _i , D _i , θ' _j , K _i and the eye movement indicators in the prior art classify the two reading modes of text and picture, and Fig. 6 is drawn based on the classification result.

As shown in FIG. 6, the eye movement index-eye movement vector classification correct rate and the eye movement slope classification correct rate in this embodiment reach 83.27% and 85.32%, respectively, which is significantly higher than the existing eye movement index classification correct rate. (The pupil diameter is 70.94%, the eye movement distance is 69.54%, the fixation time is 57.79%, and the number of fixations is 64.55%).

It can be seen that the measuring method of the eye movement in the present invention can more accurately and accurately represent the eye movement compared with the prior art, and provides more accurate data for subsequent diagnosis.

It can be seen from the above comparison that the inventive use of the eye movement vector angle θ _i , the eye movement vector amplitude D _i , the horizontal eye movement angle θ′ _j , the eye movement slope K _i and the like accurately and comprehensively characterizes the eyeball. The eye movement direction and the degree of eye movement tilt in the movement make up for the deficiency of the existing eye movement index for the eye movement pattern, enrich and develop the existing eye movement index system, and describe the eye movement more comprehensively and accurately. Psychomedicine related to eye movement provides new research methods.

As shown in FIG. 7, the eye movement measurement system of the present invention includes a position acquisition unit 1, an eye movement vector calculation unit 2, and an eye movement gradient calculation unit 3.

The position obtaining unit 1 is configured to acquire the position coordinates x _i , y _{i of the} current fixation point and the position coordinates x _i+1 , y _{i+1 of the} next fixation point during the eye movement, and then send to the eye movement vector calculation unit 2 And eye movement slope calculation unit 3. In a preferred embodiment of the present invention, the position acquisition unit 1 establishes an xy plane coordinate system in the eyeball view plane, so that the position coordinates of the current gaze point of the eyeball can be acquired in real time.

The eye movement vector calculation unit 2 is connected to the position acquisition unit 1 for the position coordinates x _i , y _i of the current fixation point _i and the coordinate position x _{i+1 of the} next fixation point i+1 according to the position acquisition unit. y _i+1 calculates the eye movement vector, that is, calculates the eye movement vector angle θ _i and calculates the eye movement vector width D _{i , respectively} . Here, the operation of calculating the eye movement vector angle θ _i and calculating the eye movement vector width D _i is consistent with that described in the foregoing method embodiment, that is, the eye movement acute angle α _{i is} calculated by the following formula (1):

α _i =tan ^-1 (|(y _i+1 -y _i )/(x _i+1 -x _i )|)x _i ≠x _i+1 (1);

And, the eye movement vector width D _{i is} calculated by the following formula (3):

The eye movement gradient calculation unit 3 is connected to the position acquisition unit 1 for the position coordinates x _i , y _{i of the} current gaze point i of the eyeball acquired according to the position acquisition unit and the coordinate position x _{i of the} next fixation point i+1 ₊₁ , y _i+1 calculate the eye movement gradient, including calculating the horizontal eye movement angle θ' _j and the eye movement slope K _{i , respectively} . Here, the operation of calculating the horizontal eye angle θ' _j and the eye movement slope k _i is consistent with that described in the foregoing method embodiment, that is,

By the formula K _{_i} = tanθ _'i calculated eye slope K _i.

Optionally, the eye movement measurement system of the present invention may further include an eye movement pattern recognition unit 4 connected to the eye movement vector calculation unit 2 and the eye movement gradient calculation unit 3 for using the eye movement vector and the eye movement The slope value identifies the eye movement pattern. For example, it is possible to recognize whether the test subject's eyeball is currently in the text reading mode or the graphic reading mode based on the previously acquired eye movement vector angle θ _i , the eye movement vector width D _i , the horizontal eye movement angle θ′ _{j ,} and the eye movement slope K _i .

Further, it can be identified whether the tester is a normal person or a person with a mental illness. For example, the eye movement of a depressed patient is relatively slow or even demented in response to a visual object (such as a stimulus of a moving figure), and in response to the eye movement vector and the eye movement gradient of the present invention, the corresponding parameter values are compared. Normal people are obviously small. For example, the eye movement of a mental mania patient usually exhibits an irregular eye movement in response to a visual object, that is, the eye is scattered and disordered, and does not exhibit a corresponding eye movement according to the stillness or motion of the visual object, and the reaction is in the present invention. On the eye movement vector and the eye movement gradient, the corresponding parameter values will show obvious disorder than the normal person, that is, the parameters will increase or decrease irregularly.

As described above, the measuring method and the measuring system of the eye movement of the present invention pass the eye movement index such as the eye movement vector angle θ _i , the eye movement vector width D _i , the horizontal eye movement angle θ′ _j , the eye movement slope K _{i ,} and the like. The measurement accurately and comprehensively characterizes the direction of eye movement and the degree of eye movement in eye movement, which makes up for the deficiency of eye movement index in the prior art, and enriches and proves the existing eye movement index system. A more comprehensive and accurate description of eye movements provides a new research method for psychology related to eye movement.

The above-described embodiments of the present invention are intended to be illustrative only and not to limit the invention. Therefore, any modifications, equivalent substitutions, improvements, etc., which are made without departing from the spirit and scope of the invention, are intended to be included within the scope of the invention. Rather, the scope of the appended claims is intended to cover all such modifications and modifications

Claims

A method for measuring eye movement, characterized in that the method comprises:

Obtaining the position coordinates x i , y i of the current fixation point i and the position coordinates x i+1 , y i+1 of the next fixation point i+1 during the eye movement, where i=1,...,n,n>1 ;

Calculating the eye movement vector angle θ i according to x i , y i and x i+1 , y i+1 ;

Calculating the eye movement vector width D i according to x i , y i and x i+1 , y i+1 ;

The horizontal eye movement angle θ' j is calculated from x i , y i and x i+1 , y i+1 .
The measuring method according to claim 1, wherein the method further comprises:

The eye movement slope K i is calculated by calculating the tangent value of the horizontal eye movement angle θ' j .
The measuring method according to claim 1, wherein the calculating the eye movement vector angle θ i according to x i , y i and x i+1 , y i+1 comprises:

In step S21, the eye movement acute angle α i is calculated by the following formula (1):

α i =tan -1 (|(y i+1 -y i )/(x i+1 -x i )|), x i ≠x i+1 (1);

In step S22, the eye movement vector angle θ i is calculated by the following formula (2):
The measuring method according to claim 1, wherein the calculating the eye movement vector width D i according to x i , y i and x i+1 , y i+1 comprises:

The eye movement vector width D i is calculated by the following formula (3):
The measuring method according to claim 1, wherein the calculating the horizontal eye movement angle θ' j according to x i , y i and x i+1 , y i+1 comprises:

The horizontal eye movement angle θ' j is calculated by the following formula (4):
A measurement system for eye movement, characterized in that the system comprises:

a position obtaining unit (1) for acquiring position coordinates x i , y i of the current fixation point and position coordinates x i+1 , y i+1 of the next fixation point during the eye movement;

An eye movement vector calculation unit (2) connected to the position acquisition unit (1) for calculating an eye movement vector according to the position coordinates x i , y i and x i+1 , y i+1 acquired by the position acquisition unit, Including the eye movement vector angle θ i and calculating the eye movement vector width D i ;

An eye movement gradient calculating unit (3) is connected to the position acquiring unit (1) for calculating an eye movement oblique according to the position coordinates x i , y i and x i+1 , y i+1 acquired by the position acquiring unit Degree, including eye movement eye movement horizontal eye angle θ' j and eye movement slope K i .
The system according to claim 6, wherein said eye movement vector calculation unit (2) performs an operation of calculating an eye movement vector angle θ i :

The eye movement acute angle α i is calculated by the following formula (1):

α i =tan -1 (|(y i+1 -y i )/(x i+1 -x i )|), x i ≠x i+1 (1);

The eye movement vector angle θ i is calculated by the following formula (2):
The system according to claim 6, wherein said eye movement vector calculation unit (2) calculates an eye movement vector width D i by the following equation (3):
The system according to claim 6, wherein said eye movement gradient calculating unit (3) performs an operation of calculating a horizontal eye movement angle θ' j and an eye movement slope K i :

The horizontal eye movement angle θ' j is calculated by the following formula (4):

By the formula K i = tanθ 'i calculated eye slope K i.
The system of any of claims 6 to 9, wherein the system further comprises:

The eye movement pattern recognition unit (4) is connected to the eye movement vector calculation unit (2) and the eye movement gradient calculation unit (3) for recognizing the eye movement pattern based on the eye movement vector and the eye movement gradient value.