Abstract: The present disclosure provides solutions for monitoring the sedation/cognitive state of a patient, such as an Intensive Care Unit (ICU) patient, that can be found in a plurality of sedation/cognitive states, ranging from non-responsive states to fully responsive and providing a selected interaction that is suitable for the determined state in order to optimize the interaction with the patient and, optionally, to improve his/her sedation state. The determination of the sedation state of the patient can be made by one or more sensing devices or input utilities, such as eye tracking sensor, EEG sensor or any applicable user interface.

Abstract: The present disclosure provides a system and method for monitoring the cognitive state of a patient based on eye image data. The patient monitoring system including a camera unit configured for recording images of an eye of the patient, and a data processing sub-system in data communication with the camera and being operable to (i) receive and process eye image data from said camera, (ii) classify said eye image data into gestures and identify such gestures indicative of the cognitive state of the patient, and (iii) transmit a signal communicating said cognitive state to a remote unit. The system may further include an actuator module and an output unit wherein said output may be an automated medical questionnaire.

Abstract: System and method for enabling user communication with eye-based feedback. A selection interface selectively presents a series of communication options to the user. A sensor detects light reflected from the eye of the user and provides a correlative signal, which is processed to determine a relative eye orientation that includes the relative orientation of the pupil with respect to the head orientation of the user. The eye may be illuminated by a light source or ambient lighting. The sensor may detect infrared light reflected from the eye illuminated by an infrared light source. The relative eye orientation may be determined by processing images captured by an image sensor. The relative eye orientation may be determined by detecting an instantaneous relative orientation of the pupil or by detecting a transient change of the pupil. Based on the determined relative eye orientation, a selected communication option is determined and implemented.

Abstract: Provided is a control system that interfaces with an individual through tracking the eyes and/or tracking other physiological signals generated by an individual. The system, is configured to classify the captured eye images into gestures, that emulate a joystick-like control of the computer. These gestures permit the user to operate, for instance a computer or a system with menu items.

Abstract: Provided is a control system that interfaces with an individual through tracking the eyes and/or tracking other physiological signals generated by an individual. The system, is configured to classify the captured eye images into gestures, that emulate a joystick-like control of the computer. These gestures permit the user to operate, for instance a computer or a system with menu items.