阅读说明：本技术 一种视疲劳检测方法、装置和存储介质 (Visual fatigue detection method, device and storage medium ) 是由 杨本植 于 2018-08-20 设计创作，主要内容包括：本发明公开了一种视疲劳检测方法、装置和存储介质,用以对观测者是否出现视疲劳进行检测。视疲劳检测方法,包括：采集第一观测者连续的第一心电信号数据,所述第一心电信号数据包括第一心跳间期数据；确定所述第一心跳间期数据在庞加莱图中对应的分布点；统计所述分布点的分布信息；根据所述分布信息确定所述观测者对应的视疲劳等级。(The invention discloses a visual fatigue detection method, a visual fatigue detection device and a storage medium, which are used for detecting whether an observer has visual fatigue. The visual fatigue detection method comprises the following steps: acquiring first bioelectrical signal data continuous by a first observer, the first bioelectrical signal data comprising first inter-heartbeat interval data; determining corresponding distribution points of the first heartbeat interval data in a poincare graph; counting distribution information of the distribution points; and determining the visual fatigue grade corresponding to the observer according to the distribution information.)

1. An asthenopia detection method, comprising:

acquiring first bioelectrical signal data continuous by a first observer, the first bioelectrical signal data comprising first inter-heartbeat interval data;

determining corresponding distribution points of the first heartbeat interval data in a poincare graph;

counting distribution information of the distribution points;

and determining the visual fatigue grade corresponding to the observer according to the distribution information.

2. The method of claim 1, wherein the distribution points comprise acceleration points and deceleration points; the distribution information comprises the proportion of acceleration points and the proportion of deceleration points in the distribution points; and

determining the visual fatigue level corresponding to the observer according to the distribution information, specifically comprising:

and determining the visual fatigue grade corresponding to the observer according to the pre-established corresponding relation between the distribution point proportion and the visual fatigue grade and the proportion of the acceleration points and the proportion of the deceleration points in the distribution points.

3. The method of claim 2, wherein the correspondence between the distribution point ratio and the visual fatigue level is established according to the following procedure:

acquiring continuous second electrocardiosignal data of a second observer within a preset acquisition time length, wherein the second electrocardiosignal data comprise second heartbeat interval data of the second observer within different time periods contained in the acquisition time length when the second observer observes preset three-dimensional display content;

determining a corresponding distribution point of the second inter-heartbeat-period data in each time period in the poincare graph aiming at the second inter-heartbeat-period data obtained in each time period; and

respectively counting the proportion of acceleration points and the proportion of deceleration points of the second heartbeat interval data in the poincare graph in the time period;

aiming at each time period, establishing a corresponding relation between the visual fatigue grade corresponding to the time period and the proportion of the acceleration point and the proportion of the deceleration point in the time period;

and determining the corresponding relation established for each time period as the corresponding relation between the distribution point proportion and the visual fatigue level.

4. The method of claim 3, wherein prior to determining that the correspondence established for each time period is a correspondence between the distribution point proportion and a level of visual fatigue, further comprising:

for each time period, determining a corresponding significant characteristic value in the time period by utilizing one-factor analysis of variance according to second heartbeat interval data acquired in the time period; and are

Determining that the significance characteristic value is not lower than a preset threshold value.

5. An asthenopia detection device, comprising:

a first acquisition unit for acquiring first bioelectrical signal data continuous by a first observer, the first bioelectrical signal data including first inter-heartbeat data;

a first determining unit, configured to determine a corresponding distribution point of the first heartbeat interval data in a poincare map;

the first statistical unit is used for counting the distribution information of the distribution points;

and the second determining unit is used for determining the visual fatigue level corresponding to the observer according to the distribution information.

6. The apparatus of claim 5, wherein the distribution points comprise acceleration points and deceleration points; the distribution information comprises the proportion of acceleration points and the proportion of deceleration points in the distribution points; and

and the second determining unit is used for determining the visual fatigue level corresponding to the observer according to the pre-established corresponding relationship between the distribution point proportion and the visual fatigue level and the proportion of the acceleration points and the proportion of the deceleration points in the distribution points.

7. The apparatus of claim 6, further comprising:

the second acquisition unit is used for acquiring continuous second electrocardiosignal data of a second observer within a preset acquisition time length, wherein the second electrocardiosignal data comprise second heartbeat interval data of the second observer within different time periods contained in the acquisition time length when the second observer observes preset three-dimensional display content;

a third determining unit, configured to determine, for second inter-heartbeat-period data obtained in each time period, a corresponding distribution point of the second inter-heartbeat-period data in the time period in the poincare graph;

the second statistical unit is used for respectively counting the proportion of an acceleration point and the proportion of a deceleration point of the second heartbeat interval data in the poincare graph in the time period;

the establishing unit is used for establishing a corresponding relation between the visual fatigue grade corresponding to each time period and the proportion of the acceleration points and the proportion of the deceleration points in the time period;

and the fourth determining unit is used for determining that the corresponding relation established for each time period is the corresponding relation between the distribution point proportion and the visual fatigue level.

8. The apparatus of claim 7, further comprising:

a fifth determining unit, configured to determine, for each time period, a corresponding significant feature value in the time period by using a one-factor analysis of variance according to second heartbeat interval data acquired in the time period before the fourth determining unit determines that the correspondence established for each time period is the correspondence between the distribution point proportion and the asthenopia level;

a sixth determining unit configured to determine that the significant feature value is not lower than a preset threshold.

9. A computing device comprising at least one processor and at least one memory, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the method of any of claims 1 to 4.

10. A computer-readable medium, in which a computer program executable by a terminal device is stored, which program, when run on the terminal device, causes the terminal device to carry out the steps of the method according to any one of claims 1 to 4.