Patents by Inventor Scott M. Strayer

Scott M. Strayer has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10551935
    Abstract: The present disclosure provides a wearable computing device. The wearable computing device includes one or more sensors that output sensor data. The wearable computing device includes a machine-learned smoking gesture detection model trained to detect a smoking gesture based on the sensor data. The wearable computing device includes one or more processors and one or more non-transitory computer-readable media that store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include inputting the sensor data into the machine-learned smoking gesture detection model. The operations include receiving, as an output of the machine-learned smoking gesture detection model, a gesture classification that indicates whether the sensor data is indicative of the smoking gesture.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: February 4, 2020
    Assignee: University of South Carolina
    Inventors: Homayoun Valafar, Casey A. Cole, James F. Thrasher, Scott M. Strayer
  • Publication number: 20180292910
    Abstract: The present disclosure provides a wearable computing device. The wearable computing device includes one or more sensors that output sensor data. The wearable computing device includes a machine-learned smoking gesture detection model trained to detect a smoking gesture based on the sensor data. The wearable computing device includes one or more processors and one or more non-transitory computer-readable media that store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include inputting the sensor data into the machine-learned smoking gesture detection model. The operations include receiving, as an output of the machine-learned smoking gesture detection model, a gesture classification that indicates whether the sensor data is indicative of the smoking gesture.
    Type: Application
    Filed: April 9, 2018
    Publication date: October 11, 2018
    Inventors: Homayoun Valafar, Casey A. Cole, James F. Thrasher, Scott M. Strayer
  • Publication number: 20020123907
    Abstract: A method and software system, for capturing and encoding healthcare services and processing healthcare claims, preferably through capturing information at the point of service through a Hand Held Computer 1 relevant to the medical treatment furnished by the healthcare provider, encoding the health care services, and submitting the healthcare claims to a Centralized Coding Facility 4, either directly to the Centralized Coding Facility 4, or from the Hand Held Computer 1 to a Desk Top Computer System 3 and then to the Centralized Coding Facility 4, by means of a hard-wired connection transmission, wireless transmission, or infra-red beam transmission, or combination of those three means, for the purpose of submission of the healthcare claims to the proper insurance company or other paying entity, and for a more expedient, efficient and cost effective payment and reimbursement to the healthcare provider for healthcare services rendered.
    Type: Application
    Filed: February 13, 2002
    Publication date: September 5, 2002
    Inventor: Scott M. Strayer