Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: Methods of assessing driver behavior include monitoring vehicle systems and driver monitoring systems to accommodate for a driver's slow reaction time, attention lapse and/or alertness. When it is determined that a driver is drowsy, for example, the response system may modify the operation of one or more vehicle systems. The systems that may be modified include: visual devices, audio devices, tactile devices, antilock brake systems, automatic brake prefill systems, brake assist systems, auto cruise control systems, electronic stability control systems, collision warning systems, lane keep assist systems, blind spot indicator systems, electronic pretensioning systems and climate control systems.

Abstract: A method for controlling vehicle systems in a vehicle includes providing a steering wheel having a plurality of sensors configured to sense contact on the steering wheel. The steering wheel has a left zone and a right zone. The method includes determining a left contact value based on one or more signals received from at least one of the plurality of sensors. The left contact value indicates contact with the steering wheel within the left zone. The method includes determining a right contact value based on the one or more signals received from the at least one of the plurality of sensors. The right contact value indicates contact with the steering wheel within the right zone. The method includes determining a driver state index based on the left contact value and the right contact value and modifying control of the vehicle systems based on the driver state index.

Abstract: A system and method for processing photoplethysmography (PPG) signals in a vehicle. The system and method include determining a plurality of consistent PPG waveform signals based on a plurality of PPG waveform signals and electronically aggregating the plurality of consistent PPG waveform signals into a PPG measurement signal. The system and method also include determining a plurality of noise waveform signals based on a plurality of pressure measurement signals and electronically aggregating the plurality of noise waveform signals into a motion artifacts measurement signal. The system and method further include processing a refined PPG signal to suppress motion artifacts from the PPG measurement signal by filtering a segment of the PPG measurement signal that is attributed to the motion artifacts represented within the motion artifacts measurement signal.

Abstract: Methods of assessing driver behavior include monitoring vehicle systems and driver monitoring systems to accommodate for a slow reaction time, attention lapse and/or alertness of a driver. When it is determined that a driver is drowsy, for example, the response system may modify the operation of one or more vehicle systems. The response system can modify the control of two or more systems simultaneously in response to driver behavior.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A system and method for vehicle control that includes receiving an image from an imaging system. The system and method also includes classifying the traffic indicator having the color portion based on executing “You Only Look Once” (YOLO) object detection of the image and localizing the traffic indicator having the color portion with respect to a vehicle based on executing the YOLO object detection of the image. The system and method additionally includes performing “Binary Large Object” (blob) analysis based on red color components and green color components of the image to determine a color of the color portion of the traffic indicator. The system and method further includes controlling a vehicle system of the vehicle based on the classification of the traffic indicator, the location of the traffic indicator with respect to the vehicle, and the color of the color portion of the traffic indicator.

Abstract: A vehicle collision warning system and method detects a rear-center area impending collision and a rear-lateral-corner area impending collision, and controls an operator alarm in one of a standard mode and a towing mode. In the standard mode, the operator alarm is controlled to provide an alert to an operator when the rear-center area impending collision is detected and/or the rear-lateral-corner area impending collision is detected. In the towing mode, the operator alarm is controlled to provide the alert to the operator when the rear-lateral-corner area impending collision is detected by the rear-lateral-corner area impending collision detection module, and to provide no alert to the operator when the rear-center impending collision is detected by the rear-center area impending collision detection module.

Abstract: A computer-implemented method including, transmitting a high-spectrum energy wave towards a subject from a first sensor and transmitting a low-spectrum energy wave towards the subject from a second sensor. In response, modulation with a carrier sequence code results in a modulated evoked biological signal. The carrier sequence code has an autocorrelation function. The method includes demodulating the modulated evoked biological signal by calculating a convolution of the modulated evoked biological signal with the carrier sequence code resulting in an evoked biological signal spectrum. The evoked biological signal spectrum has a peak to sideband ratio as a function of the carrier sequence code. The method includes calculating deviations between each element of the sampled evoked biological signal and the peak to sideband ratio and filtering noise artifacts from the sampled evoked biological signal based on the deviations.

Abstract: A computer-implemented method for biological signal recording, including modulating a sampled evoked biological signal with a carrier sequence code resulting in a modulated evoked biological signal. The carrier sequence code has an autocorrelation function. The method includes demodulating the modulated evoked biological signal by calculating a convolution of the modulated evoked biological signal with the carrier sequence code resulting in an evoked biological signal spectrum. The evoked biological signal spectrum has a peak to sideband ratio as a function of the carrier sequence code. The method includes calculating deviations between each element of the sampled evoked biological signal and the peak to sideband ratio and filtering noise artifacts from the sampled evoked biological signal based on the deviations. Peak to sideband ratios may also be optimized by varying the sampling rate.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for controlling vehicle systems includes receiving monitoring information from one or more monitoring systems and determining a plurality of driver states based on the monitoring information from the one or more monitoring systems. The method includes determining a combined driver state based on the plurality of driver states and modifying control of one or more vehicle systems based on the combined driver state.

Abstract: A method for vehicle control includes receiving a color image from an imaging system. The color image includes a traffic indicator with a color portion. The method includes extracting red color components from the color image by subtracting a grayscale intensity value of each pixel from a red-scale value of each pixel. The method includes extracting green color components from the color image by subtracting the grayscale intensity value of each pixel from a green-scale value of each pixel. The method includes performing blob analysis based on the red color components and the green color components. The method includes determining, based on the blob analysis, a color of the color portion of the traffic indicator, and controlling a vehicle system of a vehicle based on the color of the color portion of the traffic indicator.