A method of deception detection based upon ocular information of a subject provides a video camera configured to record a close-up view of a subject's eye. A cognitive state model is configured to determine a high to a low cognitive load experienced by the subject. An emotional state model is configured to determine a high to a low state of arousal experienced by the subject. After asking a question, the ocular information is processed to identify changes in ocular signals of the subject. The cognitive state and emotional state models are evaluated based solely on the changes in ocular signals where a probability of the subject being either truthful or deceptive is estimated for a binary output.

A method for measuring flicker fusion threshold. Set a measurement scheme, including setting N 8-shaped digital frames in a background light area that flickers within a set frequency. Set ten groups of different frequency combinations being applied to the N 8-shaped digital frames. Assign each frequency in each group of the frequency combinations with a stroke of the 8-shaped digital frame. Randomly select, for each of the N 8-shaped digital frames, one from the ten groups of the frequency combinations. Determine the value of each frequency in each group of frequency combinations in the N groups of frequency combinations. Recognize, by the subject, the flickering digits on the N 8-shaped digital frames in the background light area within the set frequency range. Determine the range of the flicker fusion threshold or the final flicker fusion threshold of the subject according to the result that can be seen by the subject.

A device and method for measuring mild perceptual impairment of a human subject, in which a stimulus having at least one parameter is applied to the human subject. The human subject produces a response to the stimulus indicative of a perception by the human subject of the at least one parameter of the stimulus. The response of the human subject is then processed in view of determining if the human subject suffers from mild perceptual impairment.

A display device and a method of manufacturing the same are disclosed. In one aspect, the display device includes a substrate including a separation area and a plurality of pixel formed over the substrate. The separation area is formed between adjacent pixels, and a plurality of through holes are respectively defined by a plurality of surrounding inner surfaces of the separation area, and wherein each of the inner surfaces passes through the substrate. The display device also includes an encapsulation layer formed over the substrate and covering the inner surfaces of the separation area.

According to various aspects, a new concept of Steady-State Visually Evoked Potential (SSVEP) based Brain-Computer Interface (BCI) is described where brain-computer communication occurs by capturing SSVEP induced by consciously imperceptible visual stimuli integrated into, for example, a virtual scene. These consciously imperceptible visual stimuli are able to convey subliminal information to a computer. In various embodiments, computer based operations can be mapped to visual elements with associated flickering stimuli, and induced SSVEP can be detected when the user focused upon them. In various embodiments, these visual elements can be introduced into existing display without any perceivable change to content being displayed.

An apparatus for measuring the fatigue of a user includes a first sensor configured to sense a factor causing the fatigue of a user; a second sensor configured to sense a brain wave signal of the user; and a processor configured to calculate a primary fatigue of the user based on the factor sensed by the first sensor, to calculate a secondary fatigue of the user based on the brain wave signal sensed by the second sensor, and to measure the fatigue of the user by using the primary fatigue and the secondary fatigue.

A system includes (100) includes a display (112) that sequentially displays images from an image data set at a predetermined rate, an optical attention monitoring device (120) that senses a characteristic indicative of a clinician's attention to each displayed image of the image data set, and a processor (106) that executes an attention detection module (118) that detects a lapse in attention with respect to one or more of the displayed images based on the sensed characteristic indicative of the clinician's attention and generates a signal indicating the one or more of the displayed images.

The current document is directed to methods and systems that overcome the image-comparison problems attendant with the human visual system by leveraging the motion-detection capabilities of the human visual system. Despite our visual system lacking automatic image-difference detection, our visual system does have an inherent ability to detect motion within our visual field and to direct our attention to this motion. This ability probably evolved as a result of the advantage provided by rapid detection of changes in our environment, including detection of the movement of predators or other threatening creatures, such as a snake in the bushes next to the campfire where we are eating. This method, usually referred to as Flicker, involves placing two images to be compared in the same location and rapidly alternating between them.

Traditional cognitive load estimation techniques rely on raw pupil size alone which is often prone to confound with changes in illumination, errors associated with sensor devices and irregular oscillations of pupil under constant light conditions. Estimation of cognitive load finds application in many domains including optimum work allocation, assessing a work environment and medical diagnosis. The present disclosure employs frequency domain analysis of pupil size variations to estimate load imposed by a cognitive task. A cognitive load metric based on power and frequency relations at mean frequency of the variation in pupil size addresses cognitive load estimation based on pupil dilation, wherein the pupil dilation is captured by employing low cost non-intrusive nearables.

A method, implemented by a computer device, for determining a risk score of an eye disease for a user, the method including a first eye-mediated physiological parameter providing step, during which a first eye-mediated physiological parameter indicative of a first eye-mediated perception or behaviour of the user is provided, a second eye-mediated physiological parameter providing step, during which a second eye-mediated physiological parameter indicative of a second eye-mediated perception or behaviour of the user is provided, and a risk score determining step, during which the risk score of eye disease is determined based on the first eye-mediated physiological parameter and on the second eye-mediated physiological parameter.