Title :
An attention monitoring system for high demanding operational tasks
Author :
Apolloni, Bruno ; Malchiodi, Dario ; Mesiano, Cristian
Author_Institution :
Dipt. di Sci. dell´´Informazione, Universita degli Studi di Milano, Italy
Abstract :
We infer symbolic rules for deciding the awareness state of a driver on the basis of physiological signals traced on his body through noninvasive techniques. We use a standard device for collecting signals and a three-level procedure for: 1) extracting features from them, 2) computing Boolean independent components of the features acting as propositional variables, and 3) inferring Boolean normal forms on these variables deciding the driver awareness.
Keywords :
Boolean functions; feature extraction; inference mechanisms; medical signal detection; medical signal processing; psychology; ubiquitous computing; Boolean independent components; Boolean normal form inference; attention monitoring system; awareness detector; biosignal-driven man-machine interface; driver awareness state; driving monitoring; feature extraction; noninvasive techniques; pervasive computing; physiological signal tracing; propositional variables; signal collection; subsymbolic-symbolic learning; symbolic rule inference; Biology computing; Biomedical computing; Biomedical monitoring; Computerized monitoring; Detectors; Feature extraction; Hardware; Inference algorithms; Pervasive computing; Quantum computing;
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, 2004. CIHSPS 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8381-8
DOI :
10.1109/CIHSPS.2004.1360202
