Abstract: A method for collecting activity-data of a user executing a task including at least one activity includes tracking a user-device to determine a location-data of the user-device associated with the user; retrieving, at a server-arrangement from a database-server, a client-data; determining a change in the location-data of the user-device; and generating the activity-data, based on the change in the location-data, by one of correlating the location-data with the client-data by employing machine learning techniques, or processing a prompt-response generated by a manual-input at the user-device, wherein the prompt-response is generated based on a prompt provided by the server-arrangement to the user-device when the machine learning techniques fail to correlate the location data with the client-data.
Type:
Grant
Filed:
June 6, 2018
Date of Patent:
August 3, 2021
Assignee:
XSELIS, Inc.
Inventors:
Tyler Logan Fox, Kevin Tyler Gardenhire