ELECTRONIC DEVICE, SYSTEM AND METHOD FOR PREDICTING THE PERFORMANCE OF AN INDIVIDUAL HUMAN DURING A VISUAL PERCEPTION TASK

1 . An electronic device predicting the visual perceptual task performance of an individual human, configured to:

receive an output of a first sensor device configured to measure the working memory load at the frontal cortex of the human,

predict the visual perceptual task performance as a function of said sensor output.

2 . The electronic device according to claim 1 , wherein

the first sensor device comprises at least one functional near-infrared spectroscopy (fNIRS) sensor configured to be placeable in the human's head, specifically on the frontal part of the cortex.

3 . The electronic device according to claim 1 , wherein

measuring the working memory load comprises measuring a change of concentration levels of oxygenated (HbO2) and/or deoxygenated haemoglobin (HHb) elicited by neuronal activation in the underlying brain tissue at the frontal cortex of the human.

4 . The electronic device according to claim 1 , configured to predict a decrease of the visual perceptual task performance, in case the measured working memory load increases.

5 . The electronic device according to claim 1 , configured to receive data records representing a perceptual load of a visual and dynamic scene perceivable by the human, and predict the visual perceptual task performance additionally as a function of said data records.

6 . The electronic device according to claim 5 , configured to predict a decrease of the visual perceptual task performance, in case the measured working memory load increases and at the same time the perceptual load does not increase.

7 . A system for predicting the visual perceptual task performance of an individual human, comprising:

a sensor system configured to produce data records of working memory load of at the frontal cortex of the human and/or of perceptual load values of a visual and dynamic scene perceivable by the human, and

an electronic device according to claim 1 .

8 . The system according to claim 7 , wherein the sensor system comprises:

a first sensor device configured to measure the working memory load at the frontal cortex of the human, and/or

a second sensor device configured to sense the perceptual load of a visual and dynamic scene perceivable by the human.

9 . The system according to claim 7 , wherein

the second sensor device comprises a scene sensor sensing the visual scene and is configured to:

extract a set of scene features from the sensor output, the set of scene features representing static and/or dynamic information of the visual scene, and

determine the perceptual load of the set of extracted scene features based on a predetermined load model, wherein

the load model is predetermined based on reference video scenes each being labelled with a load value.

10 . The system according to claim 7 , wherein

the load model comprises a mapping function between sets of scene features extracted from the reference video scenes and the load values.

11 . The system according to claim 7 , wherein

the load model is at least one of a regression model and a classification model between the sets of scene features extracted from the reference video scenes and the load values.

12 . A vehicle comprising:

an electronic device according to claim 1 .

13 . A method of predicting the visual perceptual task performance of an individual human, comprising the steps of:

receiving an output of a first sensor device configured to measure the working memory load at the frontal cortex of the human, and

predicting the visual perceptual task performance as a function of said sensor output.

14 . The system according to claim 7 , wherein

the load model is configured to map a set of scene features to a perceptual load value.

15 . A vehicle comprising:

a system according to claim 7 .