International Business Machines Corporation

Ari Volcoff

Lior Limonad

Sergey Zeltyn

Nir Mashkif

David Breitgand

Alexander Zadorojniy

Asaf Adi

Eliezer Segev Wasserkrug

Erez Lev Meir Bilgory

Roy Abitbol

Omer Arad

Valentin Dashinsky

Offer Akrabi

A terminal server of a virtual assistant system for proactively triggering notifications is disclosed. The terminal server is configured to: receive data indicative of a change of a service related state associated with a user of at least one terminal client; generate accordingly a close-ended type question; instruct a transmission of the close-ended type question to the at least one terminal client; in response to a retransmission request, received from the at least one terminal client in relation to the transmission: not perform the close-ended type question, access a storage of the service related state to generate accordingly a new close-ended type question, instruct a transmission of the new close-ended type question to the at least one terminal client, analyze a closed type answer provided by the at least one terminal client, and instruct transmission of a current response to the answer provided by the user.

Method and system for asynchronous notifications for users in contextual interactive systems

User authentication based on cognitive profiling. First, usage by a person of one or more computerized devices is automatically and continuously tracked. A cognitive profile of the person is automatically and continuously generated based on the tracked usage. Responsive to a request for authenticating an identity of the person, a cognitive question is automatically generated based on the cognitive profile, and is presented to a user professing to be the person. An answer to the cognitive question is received from the user. Finally, the identity of the person is automatically authenticated when the answer to the cognitive question is determined to be correct.

User authentication based on cognitive profiling

A computer-implemented method, computerized apparatus and computer program product for activity recognition using adaptive window size segmentation of sensor data stream. A data stream generated by one or more sensors is obtained. A frequency analysis of the data in a first segment of the data stream is performed. A size of a second segment is determined based on the frequency analysis. Activity recognition is performed for the second segment by extracting one or more features of the data therein and applying a machine learning process on the extracted features to obtain a classification of the data into an activity class.

Adaptive window size segmentation for activity recognition

Embodiments of the present invention may provide the capability to identify a specific object being interacted with that may be cheaply and easily included in mass-produced objects. In an embodiment, a computer-implemented method for object identification may comprise receiving a signal produced by a physical interaction with an object to be identified, the signal produced by an identification structure coupled to the object during physical interaction with the object, processing the signal to form digital data identifying the object, and accessing a database using the digital data to retrieve additional information identifying or describing properties of the object identified.

Physical-interactive IDS (P2D)

Physical interactive IDs (P2D)

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Yokneam Ilit, Israel

Ari Volcoff