CN104146680A - Eye movement measuring method and system - Google Patents
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Abstract
The invention discloses an eye movement measuring method and system. According to the method, the position coordinate xi and yi of a current fixation point and the position coordinate xi+1 and yi+1 of a next fixation point are obtained in the eye movement process, and then an eye movement vector angle theta i, an eye movement vector magnitude Di, a horizontal eye movement angle and/or an eye movement slope Ki are obtained through calculation according to the coordinate values. By means of the method and system, the eye movement direction and the eye movement tilt degree are accurately and comprehensively represented in eye movements, so that the defect that in the prior art, eye movement patterns can not be sufficiently represented through eye movement indexes is overcome, an original eye movement index system is enriched and proved, the eye movements can be described more comprehensively, and a new research method is provided for psychological medicine related to the eye movements.
Description
Technical field
The invention belongs to diagnostic measures technical field, be specifically related to a kind of oculomotor measuring method and system.
Background technology
The information that the mankind obtain from the external world, have more than 90% from eyes, psychologist starts by direct observation ocular movement, psychological process to be studied very early, think that ocular movement is the direct reaction of vision process, and reflect multiple mankind's cognitive activities, be subject to the impact of multiple perceptional factors, as the cognitive psychological activities such as the motion of eyeball and attention, memory, reasoning, reading have close relationship.
About the research of eye movement in reading can trace back to the earliest 19 the end of the centurys France scholar Lamare and the work of Jaral and Heuy.After this, people attempt by the order of point of fixation in research eye movement and the cognitive process of beating to understand reading behind of eye.Nearly more than 20 years, due to psychological linguistics research deeply and the development of eye movement technique, researcher starts the indicator of trial using eye movement as people's reading process.
Behavior of men identification is an important application of pattern recognition, in recent years the identification problem of brain cognitive state has been carried out to a large amount of research.For example, when Saliency map (the highlighting map) model that computer vision field proposes can predict human observation of nature scene, watch position attentively, illustrate that the state recognition based on eye movement has feasibility.Saliency map theory thinks that the variation of attention and rapid eye movement are that the local feature being highlighted most by vision determines, simultaneously due to vision inhibition of return, attention can highlight the position that highlights that position is only second to it to the next one most from one and move.Saliency map provides a kind of Kinematic Positioning oculomotor control mechanism, and corresponding different states is described, eye movement exists different patterns.
Eye movement mode is oculomotor trajectory diagram, is a kind of directed graph.In prior art, the measurement index of describing eye movement characteristics generally comprises point of fixation position, fixation time, fixation times, gaze frequency, eye movement distance etc., by the measurement of these indexs is described to ocular movement from different perspectives.But above-mentioned measurement index can not be described oculomotor direction and eye movement inclined degree, eye movement mode can not comprehensively be described.
Summary of the invention
The object of this invention is to provide a kind of oculomotor measuring method and system, eye movement direction in eye movement mode and eye movement inclined degree are measured, more fully describe ocular movement, for the psychological medicine relevant to ocular movement provides new research method.
According to an aspect of the present invention, provide a kind of oculomotor measuring method, described method comprises: the position coordinates x that obtains current point of fixation i in ocular movement process
i, y
iposition coordinates x with next point of fixation i+1
i+1, y
i+1, wherein i=1 ..., n, n > 1; According to x
i, y
iand x
i+1, y
i+1calculate eye movement azimuth θ
i; According to x
i, y
iand x
i+1, y
i+1calculate eye movement vector width D
i; And according to x
i, y
iand x
i+1, y
i+1calculated level eye movement angle
Wherein, by calculated level eye movement angle
tangent value calculate eye movement slope K
i.
Preferably, described according to x
i, y
iand x
i+1, y
i+1calculate eye movement azimuth θ
istep comprise: step S21, calculate eye movement sharp angle α by following formula (1)
i:
α
i＝tan
-1(|(y
i+1-y
i)/(x
i+1-x
i)|)，x
i≠x
i+1 (1)；
Step S22, calculates eye movement azimuth θ by following formula (2)
i:
Preferably, described according to x
i, y
iand x
i+1, y
i+1calculate eye movement vector width D
istep comprise: calculate eye movement vector width D by following formula (3)
i:
Preferably, described according to x
i, y
iand x
i+1, y
i+1calculated level eye movement angle
step comprise: by following formula (4) calculated level eye movement angle
According to a further aspect in the invention, provide a kind of oculomotor measuring system, described system comprises: position acquisition unit 1, and for obtain the position coordinates x of current point of fixation in ocular movement process
i, y
iposition coordinates x with next point of fixation
i+1, y
i+1; Eye movement vector computing unit 2, is connected to described position acquisition unit 1, for the position coordinates x obtaining according to position acquisition unit
i, y
iand x
i+1, y
i+1calculate eye movement vector, comprise eye movement azimuth θ
iwith calculating eye movement vector width D
i; And eye movement gradient computing unit 3, be connected to described position acquisition unit 1, for the position coordinates x obtaining according to position acquisition unit
i, y
iand x
i+1, y
i+1calculate eye movement gradient, comprise the horizontal eye movement of eye movement eye movement angle
with eye movement slope k
i.
Preferably, described eye movement vector computing unit 2 is carried out following operation and is calculated eye movement azimuth θ
i: calculate eye movement sharp angle α by following formula (1)
i:
α
i＝tan
-1(|(y
i+1-y
i)/(x
i+1-x
i)|)，x
i≠x
i+1 (1)；
Calculate eye movement azimuth θ by following formula (2)
i:
Preferably, described eye movement vector computing unit 2 calculates eye movement vector width D by following formula (3)
i:
Preferably, described eye movement gradient computing unit 3 is carried out following operation and is come calculated level eye movement angle
with eye movement slope K
i: by following formula (4) calculated level eye movement angle
Through type
calculate eye movement slope K
i.
Optionally, described system also comprises eye movement mode recognition unit 4, is connected to described eye movement vector computing unit 2 and eye movement gradient computing unit 3, for according to eye movement vector eye movement gradient numerical identification eye movement mode.
As mentioned above, the invention provides a kind of oculomotor measuring method and system, described method and system is taking multidimensional eye movement mode as basis, by measuring and calculate the eye movement azimuth θ to next point of fixation of current point of fixation in ocular movement process
i, eye movement vector width D
i, horizontal eye movement angle
and/or eye movement slope K
ideng eye movement index, accurately, comprehensively characterize eye movement direction and the eye movement inclined degree in ocular movement, make up the deficiency that eye movement index of the prior art characterizes for eye movement mode, the eye movement index system of the abundant and prior art of having issued licence, ocular movement is more fully described, for the psychological medicine relevant to ocular movement provides new research method.
Brief description of the drawings
Fig. 1 is multidimensional eye movement mode index schematic diagram in prior art;
Fig. 2 is the ocular movement measuring method schematic flow sheet of the preferred embodiment of the present invention;
Fig. 3 is the schematic diagram of each eye movement index in ocular movement measuring method of the present invention;
Fig. 4 has shown the eye movement figure of ocular movement measuring method of the present invention under text reading and figure reading model;
Fig. 5 is the eye movement index comparison diagram under the text reading shown in Fig. 4 and image reading pattern;
Fig. 6 is the eye movement index comparison diagram of eye movement index and the prior art of the preferred embodiment of the present invention;
Fig. 7 has shown the structural representation of ocular movement measuring system of the present invention.
Specific implementation method
For making the object, technical solutions and advantages of the present invention more cheer and bright, below in conjunction with detailed description of the invention and with reference to accompanying drawing, the present invention is described in more detail.Should be appreciated that, these descriptions are exemplary, and do not really want to limit the scope of the invention.In addition, in the following description, omitted the description to known features and technology, to avoid unnecessarily obscuring concept of the present invention.
Fig. 1 is multidimensional eye movement mode index schematic diagram in prior art.
As shown in Figure 1, in prior art, generally comprise point of fixation position, fixation time, fixation times, gaze frequency, eye movement distance etc. for describing the eye movement index of eye movement characteristics, only from the dimension in space and the dimension of time, ocular movement is described, and the inclined degree of oculomotor direction and eye movement can not be described, the motion of eyeball can not comprehensively be described.
Be worth proposing, the wherein description to point of fixation position, sets up two-dimensional coordinate system conventionally, measures the coordinate of X-axis and Y-axis, describes the positional information of point of fixation.
Fig. 2 is the ocular movement measuring method schematic flow sheet of the preferred embodiment of the present invention.
As shown in Figure 2, the ocular movement measuring method of the present embodiment comprises the steps:
Step S1, obtains the position coordinates x of current point of fixation i in ocular movement process
i, y
iposition coordinates x with next point of fixation i+1
i+1, y
i+1.
Step S2, according to x
i, y
iand x
i+1, y
i+1calculate eye movement azimuth θ
i.
Step S3, according to x
i, y
iand x
i+1, y
i+1calculate eye movement vector width D
i.
Step S4, according to x
i, y
iand x
i+1, y
i+1calculated level eye movement angle
Wherein, described step S2, S3, S4 there is no sequence requirement, and three steps can carry out independent assortment, can measure one of them index, also can survey two or more indexs wherein, by measured one, two or more index, ocular movement be measured and characterized.
Optionally, described method can also comprise:
Step S5, by calculated level eye movement angle
tangent value calculate eye movement slope K
i,
In the time comprising step S5, generally include step S4.
In addition, described method can also comprise: generate the position coordinates x that comprises current point of fixation
i, y
iposition coordinates x with next point of fixation
i+1, y
i+1the multidimensional eye movement mode of positional information.In eye movement mode, the directed graph that eye movement figure is made up of n point of fixation location dimension information, i=1 ..., n, n > 1.
In the present embodiment is eye movement azimuth θ
iwith eye movement vector width D
ican jointly form an oculomotor variable of description is eye movement vector, and the eye movement vector here refers to ocular movement and completes once the eye movement direction from current location to next position and eye movement stride.That is to say, eye movement vector comprises eye movement azimuth θ
iwith eye movement vector width D
itwo attributes, eye movement azimuth represents the eye movement direction of eye movement vector, the excursion of eye movement azimuth is [0 °, 360 °]; Eye movement vector width represents eye movement stride or the eye movement distance of eye movement vector.In the concrete process of using, can adopt and comprise eye movement azimuth θ
iwith eye movement vector width D
ithe eye movement vector of two attributes is as an eye movement index, or, also can adopt eye movement azimuth θ
iwith eye movement vector width D
ias two eye movement indexs.
Preferably, the S2 of step shown in Fig. 2, further can comprise:
Step S21, calculates eye movement sharp angle α by following formula (1)
i:
α
i＝tan
-1(|(y
i+1-y
i)/(x
i+1-x
i)|)，x
i≠x
i+1 (1)；
Step S22, calculates eye movement azimuth θ by following formula (2)
i:
Preferably, the step S3 shown in Fig. 2 comprises:
Calculate eye movement vector width D by following formula (3)
i:
Horizontal eye movement angle in the present embodiment
with eye movement slope K
ican be used for describing oculomotor eye movement gradient, the eye movement gradient here refers to eye movement inclined degree.Eye movement azimuth can only represent eye movement direction, and can not represent eye movement gradient, for example, and eye movement azimuth θ
ithe eye movement gradient of=175 ° is less than eye movement azimuth θ
ithe eye movement gradient of=50 °, eye movement gradient can make up the deficiency of this respect.
Horizontal eye movement angle from current point of fixation position (i) to next point of fixation position (i+1) is
eye movement slope is
the excursion at horizontal eye movement angle is [0 °, 90 °].
Preferably, the step S4 shown in Fig. 2, can be further:
By following formula (4) calculated level eye movement angle
Eye movement slope K
iwith horizontal eye movement angle
there is tangent dependency relation, i.e. eye movement slope K
icalculate by following formula:
Fig. 3 is the schematic diagram of each eye movement index in ocular movement measuring method of the present invention.
As shown in Figure 3, in ocular movement measuring method of the present invention, by measuring eye movement index θ
i, D
i,
k
icharacterize the motion of eyeball from point of fixation i to point of fixation i+1.
As shown in Fig. 3 (a), the ocular movement process from point of fixation i to point of fixation i+1, eye movement azimuth θ
icharacterize the direction of eye movement, eye movement vector width D
icharacterize the stride of eye movement, the eye movement azimuth θ here
ifor acute angle.
In the example of Fig. 3 (b), eye movement azimuth θ
ifor obtuse angle.In Fig. 3 (c), eye movement azimuth θ
ibe greater than 180 ° and be less than 270 °; In Fig. 3 (d), eye movement azimuth θ
ibe greater than 270 ° and be less than 360 °.From the definition of eye movement azimuth and example, can draw eye movement azimuth θ
iexcursion be [0 °, 360 °].
Referring to Fig. 3 (e), Fig. 3 (e) for the horizontal eye movement angle of calculating under the identical ocular movement situation of Fig. 3 (a) example shown
with corresponding eye movement slope K
i.Although eye movement azimuth can characterize eye movement direction, can not characterize eye movement gradient, and horizontal eye movement angle
with corresponding eye movement slope K
ican be used for describing oculomotor eye movement gradient, i.e. eye movement inclined degree.
Fig. 3 (f) for the horizontal eye movement angle of calculating under identical ocular movement situation shown in Fig. 3 (b)
with corresponding eye movement slope K
i, horizontal eye movement angle
for acute angle; Fig. 3 (g) for the horizontal eye movement angle of calculating under identical ocular movement situation shown in Fig. 3 (c)
with corresponding eye movement slope K
i, horizontal eye movement angle
for acute angle; Fig. 3 (h) for the horizontal eye movement angle of calculating under identical ocular movement situation shown in Fig. 3 (d)
with corresponding eye movement slope K
i, horizontal eye movement angle
for acute angle.Visible, horizontal eye movement angle
excursion is [0 °, 90 °].
Fig. 4 has shown the eye movement figure of ocular movement measuring method of the present invention under text reading and figure reading model, wherein, eye movement figure when Fig. 4 (a) is depicted as the present embodiment Chinese version and reads, eye movement figure when Fig. 4 (b) is depicted as figure in the present embodiment and reads.
As shown in Fig. 4 (a), the record of 31 point of fixation, adopts eye-movement measurement method of the present invention when to read text information, has calculated 30 eye movement azimuth θ that eye movement is corresponding
i, eye movement vector width D
i, horizontal eye movement angle
with eye movement slope K
i.
Table 1 has shown shown in Fig. 4 (a) various eye movement datas under text reading pattern.The description that can quantize the eye movement campaign shown in Fig. 4 (a) by table 1.For example, from point of fixation 1 to point of fixation 2, eye movement azimuth θ
ibe 5.91 °, eye movement vector width D
ibe 87.46, horizontal eye movement angle
be 5.91 ° and eye movement slope K
ibe 0.10.
As shown in Fig. 4 (b), by the record of reading 31 point of fixation when pictorial information, adopt the measuring method of the present invention to eye movement, calculate 30 eye movement azimuth θ that eye movement is corresponding
i, eye movement vector width D
i, horizontal eye movement angle
with eye movement slope K
i.
Table 2 has shown the various eye movement datas under figure reading model shown in Fig. 4 (b).The description that can quantize the eye movement campaign shown in Fig. 4 (b) by table 2.For example, from point of fixation 10 to point of fixation 11, eye movement azimuth θ
ibe 85.26 °, eye movement vector width D
ibe 205.70, horizontal eye movement angle
be 85.26 °, eye movement slope K
ibe 12.06.
Table 1
Table 2
Fig. 5 is the eye movement index comparison diagram under the text reading shown in Fig. 4 and image reading pattern, wherein, and eye movement index θ when text reading shown in black post presentation graphs 4 (a)
i, D
i,
k
imeansigma methods, eye movement index θ when text reading shown in white post presentation graphs 4 (b)
i, D
i,
k
imeansigma methods.
Fig. 5 (a) is eye movement azimuth θ
icomparison diagram, as shown in Fig. 5 (a), eye movement azimuth meansigma methods when read text is 135.39 °, the eye movement azimuth meansigma methods being less than while reading picture is 171.33 °, visible, under image reading pattern, oculomotor eye movement azimuth is than larger under text reading pattern.
Fig. 5 (b) is eye movement vector width D
icomparison diagram, as shown in Fig. 5 (b), eye movement vector width meansigma methods when read text is 126.21, and the eye movement vector width meansigma methods of reading when picture is 163.32, visible, under image reading pattern, oculomotor eye movement vector width is than larger under text reading pattern.
Fig. 5 (c) is horizontal eye movement angle
comparison diagram, as shown in Fig. 5 (c), horizontal eye movement angle meansigma methods when read text is 6.04 °, and the horizontal eye movement angle meansigma methods of reading when picture is 30.52 °, visible, under image reading pattern, oculomotor horizontal eye movement angle is than larger under text reading pattern.
Fig. 5 (d) is eye movement slope K
icomparison diagram, as shown in Fig. 5 (d), eye movement slope meansigma methods when read text is 0.41, and the eye movement slope meansigma methods of reading when picture is 7.22, visible, under image reading pattern, oculomotor eye movement slope is than larger under text reading pattern.
Text and picture are two kinds of different Information Organization modes, and therefore its eye movement mode also exists nuance accordingly, this nuance be difficult to use existing eye movement index accurately, comprehensively express.In the present invention, initiative characterize direction and eye movement inclined degree by eye movement vector eye movement gradient, can make up in prior art the deficiency that under eye movement mode, eye movement direction and eye movement gradient cannot characterize, thereby more accurately, comprehensively describe ocular movement.
Fig. 6 is the eye movement index comparison diagram of eye movement index and the prior art of the preferred embodiment of the present invention.
In Fig. 6, a post represents eye movement vector classification accuracy rate, b post represents eye movement slope classification accuracy rate, c represents post pupil diameter classification accuracy rate of the prior art, d represents that turbinate eye of the prior art moves distance classification accuracy, e represents post fixation time classification accuracy rate of the prior art, and f represents post fixation times classification accuracy rate of the prior art.
In the classification results compare test of eye movement index, the eye movement mode information while first using eye movement equipment to obtain 20 different texts of reading of 34 acceptance test personnel and 20 different pictures, is then used the eye movement index θ of support vector machine based on the present embodiment
i, D
i,
k
iclassify for text and two kinds of reading modeies of picture with eye movement index of the prior art, draw and obtain Fig. 6 according to classification results.
As shown in Figure 6, eye movement index in the present embodiment---eye movement vector classification accuracy rate and eye movement slope classification accuracy rate have reached respectively 83.27% and 85.32%, apparently higher than existing eye movement index classification accuracy, (pupil diameter is 70.94%, eye movement distance is 69.54%, fixation time is 57.79%, and fixation times is 64.55%).
Visible, in the present invention, compared with prior art, sign ocular movement that can be more objective, correct, for follow-up diagnosis provides data more accurately to oculomotor measuring method.
Relatively can find out the use eye movement azimuth θ of initiative of the present invention by above-mentioned
i, eye movement vector width D
i, horizontal eye movement angle
eye movement slope K
ietc. index, accurately, comprehensively characterize eye movement direction and the eye movement inclined degree in ocular movement, make up the deficiency that existing eye movement index characterizes for eye movement mode, enrich with develop existing eye movement index system, ocular movement is described more comprehensively, accurately, for the psychological medicine relevant to ocular movement provides new research method.
Fig. 7 has shown the structural representation of ocular movement measuring system of the present invention.
As shown in Figure 7, ocular movement measuring system of the present invention comprises position acquisition unit 1, eye movement vector computing unit 2 and eye movement gradient computing unit 3.
Position acquisition unit 1 is for obtaining the position coordinates x of current point of fixation in ocular movement process
i, y
iposition coordinates x with next point of fixation
i+1, y
i+1, and then send to eye movement vector computing unit 2 and eye movement gradient computing unit 3.In the preferred embodiments of the present invention, x-y plane coordinates system is set up in position acquisition unit 1 in the plane of the eyeball visual field, thus position coordinates that can the current point of fixation of Real-time Obtaining eyeball.
Eye movement vector computing unit 2 is connected to described position acquisition unit 1, for the position coordinates x of the current point of fixation i that obtains according to position acquisition unit
i, y
icoordinate position x with next point of fixation i+1
i+1, y
i+1calculate eye movement vector, calculate respectively eye movement azimuth θ
iwith calculating eye movement vector width D
i.Here calculate eye movement azimuth θ,
iwith calculating eye movement vector width D
ioperation and preceding method embodiment describe consistent, by following formula (1) calculating eye movement sharp angle α
i:
α
i＝tan
-1(|(y
i+1-y
i)/(x
i+1-x
i)|)，x
i≠x
i+1 (1)；
Calculate eye movement azimuth θ by following formula (2)
i:
And, calculate eye movement vector width D by following formula (3)
i:
Eye movement gradient computing unit 3 is connected to described position acquisition unit 1, for the position coordinates x of the current point of fixation i of eyeball that obtains according to position acquisition unit
i, y
icoordinate position x with next point of fixation i+1
i+1, y
i+1calculate eye movement gradient, comprise calculated level eye movement angle respectively
with eye movement slope K
i.Here calculated level eye movement angle,
with eye movement slope K
ioperation and preceding method embodiment describe consistent,
By following formula (4) calculated level eye movement angle
Through type
calculate eye movement slope K
i.
Optionally, ocular movement measuring system of the present invention can also comprise eye movement mode recognition unit 4, and it is connected to described eye movement vector computing unit 2 and eye movement gradient computing unit 3, for according to eye movement vector eye movement gradient numerical identification eye movement mode.For example, can be according to the eye movement azimuth θ obtaining above
i, eye movement vector width D
i, horizontal eye movement angle
with eye movement slope K
ithe eyeball of identifying tester is current in text reading pattern or figure reading model.
Further, can identify tester is normal person or the people with mental sickness.For example, the ocular movement of patients with depression is for example, for the reaction of visual object (stimulation of the figure of motion) more blunt even dull-witted, reaction is in eye movement vector eye movement gradient of the present invention, and corresponding parameters value can be obvious less than normal person.Again for example, spirit manic disorder patient's ocular movement presents irregular eye movement conventionally for the reaction of visual object, be that expression in the eyes is at random unordered, can not present corresponding ocular movement according to the static of visual object or motion, reaction is in eye movement vector eye movement gradient of the present invention, corresponding parameters value can present obvious randomness than normal person, and parameters presents the irregular increase of milli or reduces.
As mentioned above, oculomotor measuring method of the present invention and measuring system, by eye movement azimuth θ
i, eye movement vector width D
i, horizontal eye movement angle
eye movement slope K
ideng the measurement of eye movement index, accurately, comprehensively characterize eye movement direction and the eye movement inclined degree in ocular movement, make up the deficiency that in prior art, eye movement index characterizes for eye movement mode, enrich and the existing eye movement index system of having issued licence, ocular movement is described more comprehensively, accurately, for the psychological medicine relevant to ocular movement provides new research method.
Should be understood that, above-mentioned detailed description of the invention of the present invention is only for exemplary illustration or explain principle of the present invention, and is not construed as limiting the invention.Therefore any amendment of, making, be equal to replacement, improvement etc., within protection scope of the present invention all should be included in without departing from the spirit and scope of the present invention in the situation that.In addition, claims of the present invention are intended to contain whole variations and the modification in the equivalents that falls into claims scope and border or this scope and border.
Claims (10)
1. an oculomotor measuring method, is characterized in that, described method comprises:
Obtain the position coordinates x of current point of fixation i in ocular movement process
i, y
iposition coordinates x with next point of fixation i+1
i+1, y
i+1, wherein i=1 ..., n, n > 1;
According to x
i, y
iand x
i+1, y
i+1calculate eye movement azimuth θ
i;
According to x
i, y
iand x
i+1, y
i+1calculate eye movement vector width D
i; And
According to x
i, y
iand x
i+1, y
i+1calculated level eye movement angle
2. measuring method according to claim 1, is characterized in that, described method also comprises:
By calculated level eye movement angle
tangent value calculate eye movement slope K
i.
3. measuring method according to claim 1, is characterized in that, described according to x
i, y
iand x
i+1, y
i+1calculate eye movement azimuth θ
istep comprise:
Step S21, calculates eye movement sharp angle α by following formula (1)
i:
α
i＝tan
-1(|(y
i+1-y
i)/(x
i+1-x
i)|)，x
i≠x
i+1 (1)；
Step S22, calculates eye movement azimuth θ by following formula (2)
i:
4. measuring method according to claim 1, is characterized in that, described according to x
i, y
iand x
i+1, y
i+1calculate eye movement vector width D
istep comprise:
Calculate eye movement vector width D by following formula (3)
i:
5. measuring method according to claim 1, is characterized in that, described according to x
i, y
iand x
i+1, y
i+1calculated level eye movement angle
step comprise:
By following formula (4) calculated level eye movement angle
6. an oculomotor measuring system, is characterized in that, described system comprises:
Position acquisition unit (1), for obtaining the position coordinates x of current point of fixation in ocular movement process
i, y
iposition coordinates x with next point of fixation
i+1, y
i+1;
Eye movement vector computing unit (2), is connected to described position acquisition unit (1), for the position coordinates x obtaining according to position acquisition unit
i, y
iand x
i+1, y
i+1calculate eye movement vector, comprise eye movement azimuth θ
iwith calculating eye movement vector width D
i; And
Eye movement gradient computing unit (3), is connected to described position acquisition unit (1), for the position coordinates x obtaining according to position acquisition unit
i, y
iand x
i+1, y
i+1calculate eye movement gradient, comprise the horizontal eye movement of eye movement eye movement angle
with eye movement slope K
i.
7. system according to claim 6, is characterized in that, described eye movement vector computing unit (2) is carried out following operation and calculated eye movement azimuth θ
i:
Calculate eye movement sharp angle α by following formula (1)
i:
α
i＝tan
-1(|(y
i+1-y
i)/(x
i+1-x
i)|)，x
i≠x
i+1 (1)；
Calculate eye movement azimuth θ by following formula (2)
i:
8. system according to claim 6, is characterized in that, described eye movement vector computing unit (2) calculates eye movement vector width D by following formula (3)
i:
9. system according to claim 6, is characterized in that, described eye movement gradient computing unit (3) is carried out following operation and come calculated level eye movement angle
with eye movement slope K
i:
By following formula (4) calculated level eye movement angle
Through type
calculate eye movement slope K
i.
10. according to the system described in any one in claim 6 to 9, it is characterized in that, described system also comprises:
Eye movement mode recognition unit (4), is connected to described eye movement vector computing unit (2) and eye movement gradient computing unit (3), for according to eye movement vector eye movement gradient numerical identification eye movement mode.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410440414.6A CN104146680A (en) | 2014-09-01 | 2014-09-01 | Eye movement measuring method and system |
| PCT/CN2015/072765 WO2016033945A1 (en) | 2014-09-01 | 2015-02-11 | Eye movement measurement method and system |
Applications Claiming Priority (1)
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| CN106445115A (en) * | 2016-08-31 | 2017-02-22 | 中国人民解放军海军医学研究所 | Eye movement data-based user help information automatic triggering apparatus and method |
| CN106691476A (en) * | 2017-01-16 | 2017-05-24 | 清华大学 | Image recognition Mentality Analysis System based on features of eye movements |
| CN107106094A (en) * | 2014-12-16 | 2017-08-29 | 皇家飞利浦有限公司 | The assessment of attention deficit |
| CN109567817A (en) * | 2018-11-19 | 2019-04-05 | 北京育铭天下科技有限公司 | A kind of reading ability appraisal procedure and system and its auxiliary device |
| CN112086196A (en) * | 2020-09-16 | 2020-12-15 | 中国科学院自动化研究所 | Method and system for multi-selective attention assessment and training |
| WO2023197910A1 (en) * | 2022-04-12 | 2023-10-19 | 华为技术有限公司 | User behavior prediction method and related device thereof |
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| CN106445115A (en) * | 2016-08-31 | 2017-02-22 | 中国人民解放军海军医学研究所 | Eye movement data-based user help information automatic triggering apparatus and method |
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| CN109567817B (en) * | 2018-11-19 | 2023-12-12 | 北京育铭天下科技有限公司 | Reading capability assessment method and system and auxiliary device thereof |
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| WO2023197910A1 (en) * | 2022-04-12 | 2023-10-19 | 华为技术有限公司 | User behavior prediction method and related device thereof |
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