Honeywell International Inc.

Verizon Patent and Licensing Inc.

Juan Noceda

Praveen Sharma

Thomas Negre

Brad Rohlf

Andrew Wahlon Lam

Jason A Coglon

Christian Guirnalda

Ohad Zeira

Matthew S Ross

A method of determining the likelihood of a slip or fall comprises receiving, by a detection application stored in a non-transitory memory and executed on a processor, a plurality of sensor readings from a plurality of movement sensors, comparing, by the detection application, the plurality of sensor readings with a plurality of movement patterns stored in a database, determining, by the detection application, that at least one of the movement patterns of the plurality of movement patterns matches the plurality of sensor readings, and generating, by the detection application, an indication that a slip or fall is likely based on the plurality of sensor readings. The plurality of movement sensors is associated with different areas of a worker's body.

System for integrating multiple sensor data to predict a fall risk

Artificial intelligence-based, intelligent agent (IA) services may include an IA server assisting users of a wireless network in various communication scenarios (e.g., calls, texts, chats, etc.). A user may specify rules for managing communications directed to a User Equipment (UE) of the user. Examples of such rules may include intercepting an incoming call to the user, managing the call based on whether the user is available, determining a reason for an incoming call and notifying the user about the reason, inviting the user to join the call, adding other users to the call, recording portions of the call, providing requested information, taking notes, scheduling meetings, and providing other assistant-type services, etc. The IA services may also include monitoring, interpreting, and responding to information that is sent to, or by, the user, during a communication, in addition to implementing Machine Learning procedures for self-improvement.

System and method for intelligent assistant service

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Stoneham, MA, United States of America

Juan Noceda