Systems and methods for detecting onset, presence, and progression of particular states, including intoxication, include observing eye movements of a subject and correlating the observed movements to known baseline neurophysiological indicators of intoxication. A detection system may record eye movement data from a user, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not intoxication or impairment is present. The detection system may alert the user to take corrective action if onset or presence of a dangerous condition is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device. An interactive application may be provided on a user device to provoke the desired eye movements during recording.

Systems and methods for detecting onset, presence, and progression of particular states, including intoxication, include observing eye movements of a subject and correlating the observed movements to known baseline neurophysiological indicators of intoxication. A detection system may record eye movement data from a user, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not intoxication or impairment is present. The detection system may alert the user to take corrective action if onset or presence of a dangerous condition is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device. An interactive application may be provided on a user device to provoke the desired eye movements during recording.

The present invention relates to a stereo eye tracking technique. The eye tracking device comprises a processing unit configured and operable for receiving at least one image being indicative of a user's eye; identifying in the image a first data being indicative of pupil's parameters; receiving a second data being indicative of an alternative eye tracking, wherein the second data is more accurate than the first data; and correlating between the first and second data and determining a three-dimensional position and gaze direction of the user's eye.

An eye tracking method comprising: capturing image data by an image sensor; determining a region of interest as a subarea or disconnected subareas of said sensor which is to be read out from said sensor to perform an eye tracking based on the read out image data; wherein said determining said region of interest comprises: a) initially reading out only a part of the area of said sensor; b) searching the image data of said initially read out part for one or more features representing the eye position and/or the head position of a subject to be tracked; c) if said search for one or more features has been successful, determining the region of interest based on the location of the successfully searched one or more features, and d) if said search for one or more features has not been successful, reading out a further part of said sensor to perform a search for one or more features representing the eye position and/or the head position based on said further part.

An eye tracking method comprising: capturing image data by an image sensor; determining a region of interest as a subarea or disconnected subareas of said sensor which is to be read out from said sensor to perform an eye tracking based on the read out image data; wherein said determining said region of interest comprises: a) initially reading out only a part of the area of said sensor; b) searching the image data of said initially read out part for one or more features representing the eye position and/or the head position of a subject to be tracked; c) if said search for one or more features has been successful, determining the region of interest based on the location of the successfully searched one or more features, and d) if said search for one or more features has not been successful, reading out a further part of said sensor to perform a search for one or more features representing the eye position and/or the head position based on said further part.

A vacuum device comprises a vacuum generator and a vacuum interface for fluidically coupling the vacuum generator to a vacuum cavity for affixing an ophthalmological patient interface on a patient's eye. The vacuum device comprises a movement detector which is configured to detect movements of the patient's eye and a control unit that is configured to detect a faulty fluidic coupling of the vacuum cavity on the basis of a pressure that is ascertained by a coupled pressure sensor and to produce a control signal for interrupting an ophthalmological treatment that is carried out by an ophthalmological treatment device if an eye movement is detected by the movement detector at the same time as the detected faulty fluidic coupling of the vacuum cavity.

A vacuum device comprises a vacuum generator and a vacuum interface for fluidically coupling the vacuum generator to a vacuum cavity for affixing an ophthalmological patient interface on a patient's eye. The vacuum device comprises a movement detector which is configured to detect movements of the patient's eye and a control unit that is configured to detect a faulty fluidic coupling of the vacuum cavity on the basis of a pressure that is ascertained by a coupled pressure sensor and to produce a control signal for interrupting an ophthalmological treatment that is carried out by an ophthalmological treatment device if an eye movement is detected by the movement detector at the same time as the detected faulty fluidic coupling of the vacuum cavity.

A method for monitoring physical conditions of an operator of a driving apparatus is described. The method includes obtaining an identity of the operator, acquiring signals indicating a physical condition of the operator, and determining whether the physical condition as indicated by the signals has breached a predetermined threshold. Further, when it is determined that the physical condition as indicated by the signals has breached a predetermined threshold, the method includes generating a first status indicating the operator suffers an abnormal physical condition, obtaining a current location of the driving apparatus, generating a first notification based on the first status, the first notification indicating the identity of the operator and the current location of the driving apparatus, the first notification describing the first user suffers the abnormal physical condition, and transmitting the first notification to a data receiver in a healthcare facility.

A method for monitoring physical conditions of an operator of a driving apparatus is described. The method includes obtaining an identity of the operator, acquiring signals indicating a physical condition of the operator, and determining whether the physical condition as indicated by the signals has breached a predetermined threshold. Further, when it is determined that the physical condition as indicated by the signals has breached a predetermined threshold, the method includes generating a first status indicating the operator suffers an abnormal physical condition, obtaining a current location of the driving apparatus, generating a first notification based on the first status, the first notification indicating the identity of the operator and the current location of the driving apparatus, the first notification describing the first user suffers the abnormal physical condition, and transmitting the first notification to a data receiver in a healthcare facility.

Methods, computer program products, and systems are presented. The methods include, for instance: providing a cognitive tour guide service to a group of participants for a tour with an initial route planned by participants registration information and environment information along the initial route. During the tour, real time sensory data on the participants and environment are collected by a cognitive agent accompanying the group to lead the tour are relayed to a cognitive tour guide engine, and real time multi-objective optimization is modeled and performed. The participants are regrouped responsive to their respective objectives of the tour as represented by respective levels of interest in certain stage of the tour as well as circumstances of the environment. Respective subgroups are formed from the participants per respective objectives, and respective new routes are selected from a set of optimal solutions for each subgroup. During the tour, the cognitive tour guide engine iteratively optimizes routes responsive to incoming real time sensory data, objectives of the tour, and participant feedback.