Patent ID: 11954922
Assignee: STMICROELECTRONICS S.R.L.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. A system for processing signals indicative of a bevel of attention of a human during an activity, the system comprising:
image capturing circuitry configured to capture a time series of face images of the human during said activity;
sensing circuitry configured to sense at least one electrophysiological signal indicative of said level of attention of the human during said activity;
processing circuitry coupled to the image capturing circuitry to receive the captured time series of face images and to the sensing circuitry to receive the sensed at least one electrophysiological signal, wherein the processing circuitry comprises artificial neural network (ANN) processing circuits and is configured to:
apply a first ANN processing pipeline to the captured time series of face images to generate a first attention level indicator signal;
apply a second ANN processing pipeline to the sensed electrophysiological signal to generate a second attention level indicator signal by:
applying filtering to said sensed electrophysiological signals to generate a set of filtered signals;
applying a cascade of CNN processing stages to the set of filtered signals to extract a set of features therefrom, wherein a first signal processed via a CNN processing stage in the cascade of CNN processing stages is scaled and superimposed to a second signal processed via a subsequent CNN processing stage in the cascade of CNN processing stages, wherein the CNN processing stage of the cascade of CNN processing stages applies a dilated causal convolution; and
applying classification processing to said extracted set of features to generate said second attention level indicator signal;

produce a risk indicator signal based on a weighted combination of said first and said second attention level indicators; and
trigger a user circuit in response to a comparison of the risk indicator signal to at least one attention level threshold.