Patent application number | Description | Published |
20120068820 | Systems and Methods for Collecting Biometrically Verified Actigraphy Data - Systems and methods are provided to collect biometrically-verified actigraphy data, comprising: obtaining and processing a subject's measured biometric input from a biometric sensor to generate a current biometric signature of the subject; verifying the subject's identity by comparing the current biometric signature to one previously obtained from a database and evaluating a proximity metric of the current biometric signature of the subject to the previously obtained biometric signature from the database; if the subject passes identity verification, obtaining actigraphy data from an actigraphy sensor worn by the subject; at one or more times while obtaining the actigraphy data, repeating the steps of obtaining and processing a subject's measured biometric input from a biometric sensor to generate a current biometric signature of the subject, and verifying the identity of the subject to ensure that the identity of the subject passes the identity verification at the one or more times. | 03-22-2012 |
20120072121 | SYSTEMS AND METHODS FOR QUALITY CONTROL OF COMPUTER-BASED TESTS - Disclosed are systems and methods for monitoring, inter alter, administration compliance, test subject identity, and results quality of computer-administered tests. A test administration unit, an audio-visual data collection unit, and an audio-visual data processing unit are configured to detect testing anomaly events within the testing environment by analyzing audiovisual data from the test subject and environment itself. Disclosed methods include modifying or amending test results because of detected testing anomaly events within the testing environment, verifying the identity of the test subject, and monitoring for compliance with test-administration protocols. Additional methods disclosed include: user facial analysis, including gaze point analysis, for indirect detection of testing anomaly events; user verification using facial recognition, voice recognition, retinal scans, and or other audiovisual biometric protocols; and the like. | 03-22-2012 |
20130018592 | Systems and Methods for Inter-Population Neurobehavioral Status Assessment Using Profiles Adjustable to Testing Conditions - Systems and methods for inter-population assessment of neurobehavioral status employ neurobehavioral profiles to accommodate differing external conditions. Population profiles and external condition data are provided to a neurobehavioral performance model to determine neurobehavioral status under external conditions. Alternatively, neurobehavioral performance values may be retrieved from the profile when such values are stored in conjunction with external condition data. Comparisons of the resulting neurobehavioral status(es) are then determined, and may comprise without limitation one or more of: performance deltas, statistical parameter differences, rankings, above/below performance threshold determinations, pass/fail indicators, and countermeasure recommendations. Populations may comprise pluralities, individuals and empty (“null”) sets. Comparisons may also pertain to one or more relevant times of interest and one or more sets of testing conditions. Fields of application include (without limitation) operational and military fatigue management, medical diagnosis and treatment, fatigue countermeasure training and individualization, sleep research, academic and scientific research, and/or the like. | 01-17-2013 |
20130054215 | SYSTEMS AND METHODS FOR APNEA-ADJUSTED NEUROBEHAVIORAL PERFORMANCE PREDICTION AND ASSESSMENT - Human neurobehavioral performance prediction systems and methods are disclosed in which disrupted sleep patterns, such as (without limitation) sleep fracturing due to apnea, are accounted for. Biomathematical models are used to predict neurobehavioral performance based on disrupted sleep using a sleep function modified in accordance with apnea-severity data to account for loss in sleep efficiency. Risk of diminished neurobehavioral performance can then be monitored in affected individuals. Compliance with treatment regimens, adjustments to apnea severity assessment, corrections to predicted future sleep schedules, and/or individualization of neurobehavioral performance model parameters can also be achieved based upon a comparison of actual and model-predicted performance levels. | 02-28-2013 |
20130132029 | SYSTEMS AND METHODS FOR APPLYING DATA MAPPING TECHNIQUES TO ASSESSMENT AND DIAGNOSTIC TEST RESULTS - Systems and methods for analyzing the results of a diagnostic-assessment test result of a subject with respect to those of a comparison population or subpopulation of interest are disclosed. A first set of testing conditions and/or demographic characteristics and their corresponding values are used optionally to identify a subpopulation of interest and select appropriate data from a general-population database. A second (and optionally a third) set of testing conditions and/or demographic characteristics (which may optionally be identical to the first) are then used to project either or both of the subject's test score or the test scores for the population or optional subpopulation of interest to a common basis of testing conditions and/or demographic characteristics using one or more projection functions specific to the testing condition and/or demographic characteristic, as applied to a particular test. A metric of comparison is then determined for the testing subject with this projected data. | 05-23-2013 |
20130184997 | Task-Modulated Neurobehavioral Status - Systems and methods for modulating a subject's neurobehavioral status by a task-dependent arousal index are provided. Neurobehavioral status may be measured or model-predicted, and the arousal index reflects the composite effect on the subject's neurobehavioral performance of behavioral, environmental, psychological, and physiological factors of the subject's performing an assigned task. Task arousal index may be selected from a database, provided by user input, or combined in real time from sensor data. | 07-18-2013 |
20130282646 | Methods & Systems for Circadian Physiology Predictions - Systems and methods are provided for predicting a circadian state of an individual. The methods comprise: providing a model representative of the response of the circadian state to light stimulus, the model comprising at least one model variable representative of a probability distribution function (PDF) of a phase offset of the circadian state of the individual; and using the model to estimate an updated PDF of the phase offset, wherein using the model to estimate the updated PDF of the phase offset comprises performing a Bayesian estimation process commencing with an initial PDF of the phase offset and iterating toward the updated PDF of the phase offset. | 10-24-2013 |
20140025309 | CALIBRATION SYSTEM WITH HUMAN-LIKE RESPONSE ACTUATOR - Methods are provided for calibrating stimulus-response test systems which include a stimulus output device for delivering a stimulus to a subject, and a response input device for receiving a response from the subject, said response input device comprising a response actuator that is capable of responding in human-like fashion to the stimulus-response test using variable motion control signals comprising one or more time offsets and one or more activation values, said activation values comprising variable speeds and forces for the response motion. | 01-23-2014 |
20140297600 | Bayesian Sleep Fusion - Systems and methods to estimate a subject's sleep status over time by applying data-fusion algorithms to sleep data sets collected from multiple sleep data sources are disclosed. Embodiments employ Bayes' Theorem to combine sleep data from actigraphy, sleep diary, direct observation, sleep schedules, work schedules, performance tests, neurobehavioral tests and/or the like. Particular embodiments assign data error characteristics to each source, determine likelihoods of correct reporting of sleep status from each source, and apply Bayesian analysis to each source-specific likelihood to determine an overall sleep status estimate. Data error characteristics may account, without limitation, for data insertion errors, data deletion errors, and sleep timing errors. Heuristics may be also used to correct common errors found within collected sleep data and/or to infer sleep status from atypical sources of sleep data. Particular embodiments may also use the combined sleep status estimate for fatigue prediction utilizing various biomathematical fatigue models. | 10-02-2014 |
20150045986 | Systems and Methods for Determining Driver Fatigue Level from Lane Variability and Geographic Location - Systems and methods are disclosed for determining a fatigue level of a human operator of a motor vehicle based upon lane variability data and geographic position data of the vehicle, used either alone or in combination with other data such as (without limitation) vehicle operational data, vehicle environment data, road segments, and/or the like. | 02-12-2015 |