United Parcel Service of America, Inc.

Garmin at, Inc.

Medtronic, Inc.

Chih Lai

Dwight E Nelson

Jianping Wu

Devices, systems, and techniques for analyzing video information to objectively identify patient behavior are disclosed. A system may analyze obtained video information of patient motion during a period of time to track one or more anatomical regions through a plurality of frames of the video information and calculate one or more movement parameters of the one or more anatomical regions. The system may also compare the one or more movement parameters to respective criteria for each of a plurality of predetermined patient behaviors and identify the patient behaviors that occurred during the period of time. In some examples, a device may control therapy delivery according to the identified patient behaviors and/or sensed parameters previously calibrated based on the identified patient behaviors.

Patient motion analysis for behavior identification based on video frames with user selecting the head and torso from a frame

An improved method for correlating between targets in an air traffic control system. A methods or systems according to the invention compare selected components of a first target report to the components of a second target report, produce a confidence level on each component comparison, and determine whether to declare the targets similar based on the confidence level on each component compared. The first and second target reports may include ADS-B target reports and TIS target reports. The individual components of the reports may be range, bearing, track angle, and relative altitude. The methods or systems may use a fuzzy logic probability model to produce a continuous confidence level on each component comparison.

Multisource target correlation

Improved methods and systems for detecting self-alerts from upload messages in a TIS system to thereby eliminate the likelihood of TIS self-alerts appearing on CDTI displays. The present invention determines whether a self-alert was present in a previous traffic information uplink to determine whether a target in a current information uplink is real. Using a weighting algorithm, typically a fuzzy logic algorithm, a system in accordance with the present invention can distinguish between targets in consecutive radar sweeps to identify self-alerts. If the self-alert was not present in previous uplinks, then the system removes the self-alert from subsequent views on the CDTI. Thus, the present invention provides an improved visual display system for pilots and air traffic controllers.

Detection and removal of self-alerts in a tracking system

A method of determining conflicting flight paths between a first and a second airborne vehicle is provided, wherein each vehicle comprises an aircraft-to-aircraft navigational communication system having a navigational device. First, a position and a velocity vector are determined for each of the airborne vehicles. A cylindrical volume is then defined about the first airborne vehicle. A separation distance is then determined between the vehicles at a selected time and using a great circle earth model. An accuracy factor is thereafter determined for the position of each vehicle. The separation distance is then modified by the accuracy factor. A determination is then made as to whether the modified separation distance is within the cylindrical volume about the first airborne vehicle during a time range to thereby determine whether conflicting flight paths exist between the vehicles. An associated system and computer software program product are also provided.

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Woodbury, MN, United States of America

Chih Lai