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

Claim 0:
1. A method of processing signals indicative of a level of attention as human during an activity, comprising:
capturing a time series of face images of the human during said activity;
applying a first artificial neural network (ANN) processing pipeline to the captured time series of face images to generate a first attention level indicator signal;
sensing an electrophysiological signal indicative of said level of attention of the human during said activity;
applying a second ANN processing pipeline to the sensed electrophysiological signal to generate a second attention level indicator signal, wherein applying the second ANN processing pipeline comprises:
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 by applying a dilated causal convolution for at least one CNN processing stage of the cascade of CNN processing stages, 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; and
applying classification processing to said extracted set of features to generate said second attention level indicator signal;

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