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    • 6. 发明申请
    • SYSTEM AND METHOD FOR SYNCHRONIZATION OF ASYNCHRONOUS DATASETS
    • US20210334289A1
    • 2021-10-28
    • US17237630
    • 2021-04-22
    • Morgan State University
    • Snehanshu BanerjeeMansoureh JeihaniMahmoud Ayman Sayed
    • G06F16/25G06F3/01H04N5/247G06K9/00G06F30/20
    • Computer-implemented systems and methods are provided for the synchronization of data from asynchronous datasets to form a merged, synchronized data set, and more particularly to systems and methods for merging disparate and asynchronous data sets that include common dimensions, such as space and time dimensions, and more particularly space and time data relating to a driving simulation environment (such as driving simulator data and eye tracking data having disparate time data resolutions), to enable data extraction from and analysis of the merged, synchronized data set. A driving simulator system includes a driver interface having driving controls and a display and creates driving simulator data files for each driver of the driving simulator system having data entries that are captured at a first timing frequency. Likewise, an eye tracking system includes eye tracking cameras for tracking a driver's eye movements when using the driving simulator system and creates eye tracking data files for each driver of the driving simulator system having data entries that are captured at a second timing frequency that is different from the first timing frequency at which driving simulator data is captured. A driving behavior analysis computer is also provided that merges the asynchronous data embodied in each of the driving simulator data files and the eye tracking data files to form a single merged data file based upon an interpolation of data entries in those data files. The merged data files may then be further processed to enable extraction and analysis of the merged data in order to identify various driver behaviors.
    • 9. 发明申请
    • SYSTEM AND METHOD FOR PREDICTIVE RISK ASSESSMENT AND INTERVENTION
    • US20230005623A1
    • 2023-01-05
    • US17942393
    • 2022-09-12
    • Morgan State University
    • Lorece EdwardsLawrence BrownSabriya DennisIan Lindong
    • G16H50/30G16H10/20G06N5/02G16H20/00G16H10/60
    • Disclosed is a system and method for predictive risk assessment and intervention including a risk assessment unit that receives survey data from a remotely connected survey device. The survey data comprises information about the social and cultural environment of one or more members of a risk population, including the member's perceptions of their social and environmental factors, the member's demographic data, and optionally publicly available data associated with the member's geographic environment. A predictive risk assessment unit analyzes perceived risk hierarchy inventories to generate a risk portfolio for each surveyed member of the population, which risk portfolio may include a risk predictive quotient profile for each such member assigning a numeric value indicating a likelihood of that member engaging in certain negative activities, a recommendation of interventions that are determined to reduce the likelihood of such member engaging in those negative activities, and preferably a record of success and/or failure of various interventions in reducing that risk. Intervention partners then administer the interventions to the surveyed members, record the success or failure of such intervention in preventing the identified dangerous behavior, and transmit an intervention effectiveness report to the predictive risk assessment unit. The predictive risk assessment unit may then modify and recalibrate the survey instrument and the associated recommended intervention products and tools to maximize the successes of interventions.