Abstract: A camera monitoring system is adapted for use in vehicles, and includes an image capturing means, a control unit, and at least one display device. The image capturing means is configured to capture an image from an external environment, and is associated with an exterior rear-view mirror of the vehicle. The unit is connected to the capturing means, and is configured to select an image region from the captured image. The image region is smaller than the captured image and is movable within the captured image. The device may be a touch screen, and the system may include a control surface in the touch screen configured to move via touches performed by a driver. The image region is displayed in the touch screen, or in another, additional, screen of the device. The system may further include a gesture detector for the detection of driver gestures associated with the image region.

Abstract: The present invention relates to a method and a system designed to determine an individual's state of attention from an individual's respiratory signal. The method of the invention comprises a first learning step, wherein the characteristics of an individual's normal state are determined by selecting a respiratory signal fragment that is considered to be normal according to a pre-established criterion, and a second analysis phase, wherein the individual's state of attention is determined from parameters extracted from the respiratory signal on the basis of some pre-defined rules and the individual's normal state previously characterised. The method of the invention is implemented in two embodiments. A first embodiment is based on the identification of pre-defined patterns in the respiratory signal and, in the second embodiment, an index indicative of the variability of the respiratory signal is defined.

Abstract: A method for determining at least one physiological parameter of a driver, pilot or transport of defence vehicle or system operator, comprising: a) injecting or inducing current into said individual; b) measuring in said individual an electrical parameter indicating their impedance, comprising: b1) measuring the electrical parameter with at least two pairs of injector-detector electrodes; b2) determining the impedance signal from the electrical parameter measured; b3) from amongst the impedance signals determined, identifying those with a physiological origin; and b4) selecting the pair of electrodes that produce the best quality impedance signal; and c) obtaining said physiological parameter from the best quality impedance signal.

Abstract: The present invention relates to a method and a system designed to determine an individual's state of attention from an individual's respiratory signal. The method of the invention comprises a first learning step, wherein the characteristics of an individual's normal state are determined by selecting a respiratory signal fragment that is considered to be normal according to a pre-established criterion, and a second analysis phase, wherein the individual's state of attention is determined from parameters extracted from the respiratory signal on the basis of some pre-defined rules and the individual's normal state previously characterised. The method of the invention is implemented in two embodiments. A first embodiment is based on the identification of pre-defined patterns in the respiratory signal and, in the second embodiment, an index indicative of the variability of the respiratory signal is defined.