Cisco Technology, Inc.

Pallavi Kalapatapu

Frank Brockners

Shwetha Subray Bhandari

Hugo Latapie

Enzo Fenoglio

Ramana Rao V R Kompella

Ozkan Kilic

Gaowen Liu

Wenqin Shao

Ali Payani

This disclosure describes techniques for protecting privacy of a user with respect to emotion detection via a computer network. The techniques may include receiving sensed data associated with a user. A privacy policy of the user may be used with processing of the sensed data. For example, based at least in part on the privacy policy, a private subset of the sensed data may be filtered from remaining sensed data. The remaining sensed data may be used to determine an emotion classification result. The emotion classification result may indicate a sharable emotion of the user, for instance.

Privacy policy-driven emotion detection

In one embodiment, a device obtains data models and workflow logic for a visual programming environment. The device constructs, based on the data models and workflow logic for the visual programming environment, a metamodel that comprises a knowledge graph. The device makes, using the metamodel, an evaluation of an interaction between a user and the visual programming environment. The device provides, based on the evaluation, visualization data to a user interface of the visual programming environment.

Collaborative visual programming environment with cumulative learning using a deep fusion reasoning engine

Techniques for utilizing a communication system that provides access to a representation of a virtual environment to participants. The communication system may establish connections between personal communication bridge(s) associated with participant(s) interacting within a virtual proximity radius of one another's virtual indicator in the virtual environment. The communication system may cause conversation data to be sent each personal communication bridge associated with a participant that is within the virtual proximity radius of the sender, and cause conversation data to be received via the personal communication bridge of a participant that is within the virtual proximity radius of the sender. The communication system may also analyze data associated with the participant profile(s) and transcribed conversation data from the communication bridges(s) to recommend potential conversations of interest to participant(s).

Virtual proximity radius based web conferencing

Growing community of inventors

San Jose, CA, United States of America

Pallavi Kalapatapu