Intel Corporation

Microsoft Technology Licensing, LLC

Deutschetelekom Ag

Omri Mendels

Ronen Aharon Soffer

Oded Vainas

Rami Mayer

Giora Yahav

Oren Pereg

Boaz Ein-Gil

Joachim Stegmann

Yuval Bahat

Sigal Berman

Alex Rapoport

Ariel Benou

Helman Stern

Avi Samoucha

Uri Goren

Boris Kodner

Tali Zvi

Bella Specktor

Johannes Minkwitz

Ingmar Kliche

Apparatus, systems, and/or methods may provide travel assistance. For example, a determination may be made that a user is to begin driving in the near future. In addition, a determination may be made of one or more predicted destinations when the user is to begin driving in the near future. Thus, travel assistance may be provided to the user based on the one or more predicted destinations when the user is to begin driving in the near future.

Travel assistance

A system for filtering device information to be provided to a user by a digital device or system according to physiological information collected from the user. The physiological information may be used to determine the user's present cognitive stress, wherein the device information may be prioritized, withheld, delayed, or deleted if the present cognitive stress exceeds a predetermined threshold. The device information may be further evaluated with contextual information such as different aspects of the device information or non-physiological user information (e.g. location, time of the day). The system may manage device information with minimal or less user interaction than user defined rule systems.

User-stress based notification system

Various systems and methods for processing activity data with a knowledge engine to generate actionable insights for a human subject are described. These actionable insights may include identifying a most likely action given a particular state of the human subject, identifying a most likely state in which the human subject performs a particular activity, or identifying anomalies in human activity patterns. In an example, an electronic processing system operates the knowledge engine with operations that: identify patterns of activity using clustering of events, identify meaningful patterns of activity from the patterns of activity based on co-occurrence of characteristics for respective events, rank the identified meaningful patterns of activity based on confidence and support of respective patterns to occur for a human subject, and generate a personalization action (such as an action for a software application) based on the ranked, identified meaningful patterns of activity.

Pattern recognition and prediction using a knowledge engine

Methods, apparatus, and system to parse an unstructured, natural language input of a user, infer a semantic meaning of an intent of the user, and determine a present or future user state, including a location and a time, in which the intent can be fulfilled.

Natural language intent and location determination method and apparatus

An embodiment of the invention provides a gesture recognition system (GRS) that displays a graphical user interface in which symbols are grouped into 'pods' on a display screen, and a user enters a desired symbol into a computer by selecting a pod containing the desired symbol, and then selecting the symbol from a display of the symbols in the selected pod using hand motions without having to contact the display screen or use a manual controller.

Semaphore gesture for human-machine interface

Growing community of inventors

Tel Aviv, Israel

Omri Mendels