Apparatus and method for estimating driver readiness and method and system for assisting driver

An apparatus for estimating driver readiness in a vehicle supporting automated driving, the apparatus comprising:

• a processor;
• and
• a memory configured to store at least one command executed through the processor,
• wherein the at least one command includes:
• a command configured to analyze a bio-signal and a behavior of a driver through collected driver information;
• a command configured to determine a bodily sensory usage state of the driver from at least one of the bio-signal and the behavior of the driver;
• a command configured to infer a task by deriving chances of task candidates that are probable to occur from the driver during drive from the bodily sensory usage state of the driver;
• a command configured to determine an intention of the driver on the basis of the inferred chances of the task candidates;
• and
• a command configured to calculate driver readiness using the intention of the driver,
• wherein the command configured to infer the task includes:
• a command configured to acquire bodily sensory usage state information of at least one task candidate from a task model in which bodily sensory usage level information of at least one task is accumulated and stored;
• and
• a command configured to calculate a global posterior probability for the task by using the bodily sensory usage state information of the at least one task candidate as a prior probability, and
• wherein the bio signal includes at least one of electroencephalogram (EEG), electrocardiogram (ECG), galvanic skin response (GSR), photoelectric pulse diagram (PPG), skin temperature (SKT), respiration rate.

A method of assisting a driver in a vehicle supporting automated driving, the method comprising:

• deriving chances of task candidates that are probable to occur from the driver during driving from a bodily sensory usage state of the driver to infer a task;
• calculating driver readiness on the basis of the chances of the task candidates;
• determining whether the driver readiness is higher than or equal to a readiness threshold;
• and
• operating at least one driver interaction device on the basis of the driver readiness in consideration of at least one of a driving environment, a driving route, vehicle information, and a health status of the driver,
• wherein the deriving of the chances of task candidates that are probable to occur during driving from the bodily sensory usage state of the driver includes:
• acquiring bodily sensory usage state information of at least one task candidate from a task model in which bodily sensory usage level information of at least one task is accumulated and stored;
• and
• calculating a global posterior probability of the task using the bodily sensory usage state of the at least one task candidate as a prior probability, and
• wherein the bio signal includes at least one of electroencephalogram (EEG), electrocardiogram (ECG), galvanic skin response (GSR), photoelectric pulse diagram (PPG), skin temperature (SKT), respiration rate.