Abstract: An automated image processing method for assessing facially-expressed emotions of an individual, the facially-expressed emotions being caused by operation of a vehicle, machinery, or robot by the individual, including operating a vehicle, machinery, or robot by the individual and thereby expose a vision of the individual to a stimulus, detecting non-verbal communication from a physiognomical expression of the individual based on image data by a first computer algorithm, the image data of the physiognomical expression of the individual being caused in response to the stimulus, assigning features of the non-verbal communication to different types of emotions by a second computer algorithm, analyzing the different types of emotions to determine an emotional state of mind of the individual, and generating at least one of a prompt, an alert, or a change in a setting of an operational parameter of the vehicle, based on the emotional state of mind of the individual.

Abstract: An automated method for assessing a behavioral profile of an individual based on image processing, the behavior profile being specific to a hypothetical or actual event, the method including the steps of detecting non-verbal communication from a physiognomical expression of the individual based on image data by a first computer algorithm, the image data being created by exposing the individual to a stimulus and obtaining the physiognomical expression of the individual in response to the stimulus, correlating features of the non-verbal communication to a topical area by a second computer algorithm, and generating a report corresponding to the individual that reflects the correlation between the non-verbal communication and the topical area, the report including the behavior profile of the individual.

Abstract: An automated method for assessing a behavioral profile of an individual based on image processing, the behavior profile being specific to a hypothetical or actual event, the method including the steps of detecting non-verbal communication from a physiognomical expression of the individual based on image data by a first computer algorithm, the image data being created by exposing the individual to a stimulus and obtaining the physiognomical expression of the individual in response to the stimulus, correlating features of the non-verbal communication to a topical area by a second computer algorithm, and generating a report corresponding to the individual that reflects the correlation between the non-verbal communication and the topical area, the report including the behavior profile of the individual.

Abstract: A system to determine the difficulty in intubating and/or ventilating and/or extubating a subject, the system comprising: an imaging module to acquire image parameters comprising a dynamic image of part of a head or neck of a subject; a parameter extraction module configured to extract at least one dynamic parameter from the image parameters; and a classification module comprising a classification algorithm configured to determine a difficulty to intubate and/or ventilate value based on the at least one dynamic parameter.

Abstract: It is discloses a method and system for measuring and assessing the impact of non-verbal responses of a respondent to a stimulus, the method comprises the steps of presenting a reference stimulus to the respondent; recording immediate non-verbal responses via an imaging device to said presented reference stimulus; presenting a stimulus under test to the respondent; recording immediate non-verbal responses via an imaging device to said presented stimulus under test; presenting a questionnaire with questions on the stimulus under test to the respondent; obtaining verbal responses to the questions; immediately transmitting the recorded image of said non-verbal responses to the reference stimulus and the stimulus under test across a communications network to an image processing unit and after having received said images at said image processing unit automatically calculating emotion probabilities of the non-verbal responses of the respondent from said images; and calculating a emotional intensity score derived fr