Abstract: The present invention is directed to a real-time automated video cognizer that functions as a facial video processor for detecting drowsiness in operators of motorized vehicles, including the use of a video cognizer to provide pattern recognition and control signal generation during monitoring of macroscopic or microscopic biological processes. More specifically, the present invention accepts input from a video monitoring system that continuously captures the operator's facial images; employing three sequential means of processing the digitized video information to extract the position and configuration of drowsy-relevant facial features and numerically processes this information to yield a quantitative estimate of drowsiness probability in each epoch of monitoring.

Abstract: The present invention is directed to a real-time automated video cognizer that functions as a facial video processor for detecting drowsiness in operators of motorized vehicles, including the use of a video cognizer to provide pattern recognition and control signal generation during monitoring of macroscopic or microscopic biological processes. More specifically, the present invention accepts input from a video monitoring system that continuously captures the operator's facial images; employing three sequential means of processing the digitized video information to extract the position and configuration of drowsy-relevant facial features and numerically processes this information to yield a quantitative estimate of drowsiness probability in each epoch of monitoring.

Abstract: The present invention is directed to a real-time automated video cognizer that functions as a facial video processor for detecting drowsiness in operators of motorized vehicles, including the use of a video cognizer to provide pattern recognition and control signal generation during monitoring of macroscopic or microscopic biological processes. More specifically, the present invention accepts input from a video monitoring system that continuously captures the operator's facial images; employing three sequential means of processing the digitized video information to extract the position and configuration of drowsy-relevant facial features and numerically processes this information to yield a quantitative estimate of drowsiness probability in each epoch of monitoring.

Abstract: A high speed single electrode voltage clamp circuit for enabling study of the action potentials in small and otherwise inaccessible nerve cells. The circuit includes a high input impedance, low input capacity input stage, a high frequency emphasis equalization network, and separate low frequency and transient compensation networks and spectral modification circuitry. In addition, computer correction is utilized to eliminate transient errors. Proper operation of the clamp is also monitored by means of a computer.