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US 12,611,128 B2Granted
Metrics for impairment detecting device
AssigneeBattelle Memorial Institute
InventorsCeleste Vallejo, David A. Friedenberg, Aaron J. Frank
Life of this patent
Estimating the term…
Abstract
The present disclosure relates generally to metrics used to detect or indicate a state of impairment in a test subject due to use of drugs or alcohol, and more particularly to metrics used in connection with a virtual-reality (“VR”) environment that implements drug and alcohol impairment tests, where the metrics are used to detect or indicate impairment.
Claims20
An impairment assessment device comprising:
- a virtual reality (VR) headset configured to be worn by a test subject;
- an eye tracker included with the VR headset;
- an external display;
- and
- at least one electronic processor programmed to perform an impairment assessment test by operations including:
- controlling the VR headset to display a virtual scene;
- measuring a change in one or more features of the test subject's eyes to obtain eye-tracking data, the eye-tracking data including pupil size and gaze direction, in response to the display of the virtual scene using the eye tracker;
- determining a median reaction time, a variability in reaction time, a median accuracy time, and a variability in accuracy time of the test subject's gaze acquisition on a first displayed object in the virtual scene, which are calculated by processing the eye-tracking data and removing artifacts;
- tracking changes in pupil size in the eye-tracking data in response to changes in light intensity in the virtual scene, applying a segmented regression analysis to identify a transition point at which a pupil response stabilizes, and calculating a pupil rebound speed based on a slope of the change in pupil size;
- computing impairment indicator information from (i) the measured change in the one or more features of the test subject's eyes, (ii) the median reaction time, (iii) the variability in reaction time, (iv) the median accuracy time, (v) the variability in accuracy time, and (vi) the pupil rebound speed, wherein the impairment indicator information is indicative of impairment of the test subject;
- and
- presenting a representation of the impairment indicator information on the external display or the VR headset.
9 more elements
An impairment assessment method comprising:
- controlling a virtual reality (VR) headset to display a virtual scene;
- measuring a change in one or more features of the test subject's eyes to obtain eye-tracking data, the eye-tracking data including pupil size and gaze direction, in response to the display of the virtual scene using an eye tracker;
- measuring a median reaction time, a variability in reaction time, a median accuracy time, and a variability in accuracy time of the test subject's gaze acquisition on a first displayed object, which are calculated by processing the eye-tracking data and removing artifacts from the eye-tracking data;
- tracking changes in pupil size in the eye-tracking data in response to changes in light intensity in the virtual scene, applying a segmented regression analysis to identify a transition point at which the pupil stabilizes;
- calculating a pupil rebound speed based on a rate of change in pupil size;
- computing impairment indicator information from (i) the measured change in the one or more features of the test subject's eyes, (ii) the median reaction time, (iii) the variability in reaction time, (iv) the median accuracy time, (v) the variability in accuracy time, and (vi) the pupil rebound speed, using an electronic processor wherein the impairment indicator information is indicative of impairment of the test subject;
- and
- displaying, on an external display of a host computer, a cannabis impairment assessment determined based on the impairment indicator information.
5 more elements
Dependencies are inferred from the claim text.