Method and apparatus for analyzing concentration level of driver

1. An apparatus for analyzing a concentration level of a driver, the apparatus comprising:

a line of sight (LOS) dispersion analyzer configured to analyze quantitative data associated with a time at which an LOS of a driver is dispersed and a time at which the LOS of the driver is focused;

a reaction speed analyzer configured to analyze a reaction speed of a human machine interface (HMI) when a command based on device input information, voice information, and gesture information is input; and

an LOS dispersion evaluator configured to evaluate a degree of LOS dispersion of the driver based on the quantitative data and a reaction speed of a user interface (UI) of the HMI;

wherein the LOS dispersion analyzer is configured to quantify, based on driving information and driving conditions displayed on a display, the time at which the LOS of the driver is focused and a reaction speed of recognition time.

2. The apparatus of claim 1 , further comprising:

a user experience (UX) platform driving unit to be linked with the LOS dispersion evaluator through a connection with a multiple input device.

3. The apparatus of claim 1 , wherein the driving information comprises driving information displayed on a head-up display (HUD), driving information displayed on an instrument cluster, and driving information displayed on a center display.

4. The apparatus of claim 1 , wherein the reaction speed comprises a recognition reaction speed of the driver with respect to a UX of the HMI.

5. The apparatus of claim 1 , wherein the LOS dispersion evaluator comprises:

a weighted value calculator configured to calculate a weighted value with respect to the quantitative data and the reaction speed of the UI;

a concentration level calculator configured to calculate an LOS concentration level of the driver based on a velocity;

an obstruction frequency calculator configured to calculate an obstruction frequency of the LOS of the driver based on an environmental complexity; and

an LOS dispersion time calculator configured to calculate a period of time during which the LOS of the driver is dispersed.

6. An apparatus for analyzing a concentration level of a driver, the apparatus comprising:

an interface plug-in driving unit configured to be input device input information, gesture information, and voice information and connected to a user interface (UI) operated by a driver;

a data learning unit configured to learn information associated with a UI manipulation with respect to a behavior and a reaction of the driver based on driving conditions;

a framework driving unit configured to collect the device input information, the gesture information, the voice information, external environment information, and rendering information based on a focus of the driver and a line of sight (LOS) of the driver; and

a user experience (UX) engine unit configured to analyze a driving concentration level of the driver by receiving the device input information, the gesture information, the voice information, the external environment information, and the rendering information from the framework driving unit.

7. The apparatus of claim 6 , wherein the framework driving unit is configured to collect the device input information, the gesture information, the voice information, the external environment information, and the rendering information and transfer the collected information to the UX engine unit, at a point in time at which the driver manipulates the UI.

8. A method of analyzing a concentration level of a driver, the method comprising:

analyzing quantitative data associated with a time at which a line of sight (LOS) of a driver is dispersed and a time at which the LOS of the driver is focused;

analyzing a reaction speed of a human machine interface (HMI) when a command based on device input information, voice information, and gesture information is input; and

evaluating a degree of LOS dispersion of the driver based on the quantitative data and the reaction speed of a user interface (UI) of the HMI;

wherein the analyzing of quantitative data comprises:

quantifying, based on driving information and driving conditions displayed on a display, the time at which the LOS of the driver is focused and a reaction speed of recognition time.

9. The method of claim 8 , wherein the driving information comprises driving information displayed on a head-up display (HUD), driving information displayed on an instrument cluster, and driving information displayed on a center display.

10. The method of claim 8 , wherein the reaction speed comprises a recognition reaction speed of the driver with respect to a user experience (UX) of the HMI.

11. The method of claim 8 , further comprising:

calculating a weighted value with respect to the quantitative data of the driver and the reaction speed of the UI of the HMI;

calculating an LOS concentration level of the driver based on a velocity;

calculating an obstruction frequency of the LOS of the driver based on an environmental complexity; and

calculating an LOS dispersion time of the driver.

12. A method of analyzing a concentration level of a driver, the method comprising:

receiving device input information, gesture information, and voice information to be connected to a user interface (UI) operated by a driver;

learning information associated with a user interface operation with respect to a behavior and a reaction of the driver based on driving conditions;

collecting the device input information, the gesture information, the voice information, external environment information, and rendering information based on a focus of the driver and a line of sight (LOS) of the driver; and

analyzing a driving concentration level of the driver by receiving the device input information, the gesture information, the voice information, the external environment information, and the rendering information from the framework driving unit.

13. The method of claim 12 , wherein the collecting comprises:

collecting the device input information, the gesture information, the voice information, the external environment information, and the rendering information at a point in time at which the user manipulates the UI.