Citrix Systems, Inc.

4sense, Inc.

Christopher Wade

Georgy Momchilov

Chris Pavlou

Stanislaw K Skowronek

Ola Nordstrom

Antonio A Ricco

Methods and systems for authenticating a user requesting to access one or more resources via a device are described herein. Authentication may be based on or otherwise rely on a plurality of devices. For example, aspects described herein are directed towards a system and method for receiving an authentication request from a first user device. A second user device may send a request for and receive a public key of the first user device and receive. The second user device may verify the authentication request using the public key of the first user device and perform authentication based on an authentication secret received from a user.

Multifactor contextual authentication and entropy from device or device input or gesture authentication

Methods and systems for authenticating a user requesting to access one or more resources via a device are described herein. Authentication may be based on or otherwise rely on a plurality of devices. For example, aspects described herein are directed towards a system and method for receiving a request from a user to access one or more resources via a first device. In response to receiving the request to access the one or more resources, the first device may send, e.g., to a second device, a request for user input of a credential at the second device. The first device may receive a credential from the second device, and the first device may authenticate the user based on the received credential. Additionally or alternatively, the second device may authenticate the user based on an input of a user credential, and the second device may send an indication of a successful authentication to the first device.

A passive-tracking system for passively tracking a living being is described herein. The system can include a visible-light sensor to generate visible-light frames based on visible light reflected off an object and a sound transducer to generate sound frames based on sound reflected off the object. The system can also include a processor that can receive the visible-light and sound frames and based on data of these frames, generate a novelty representation of the object through a merging of the data of the frames. Based on the data of the visible-light and sound frames, the processor can determine the object is a living being, and when the processor does, it can generate, based on the novelty representation, a 3D position of the living-being object and can passively track the living-being object over time by, based on the novelty representation, selectively updating the 3D position of the living-being object.

Visible-light and sound-based passive tracking system

Methods, systems, computer-readable media, and apparatuses for providing testing environments using virtualization are presented. In one or more embodiments, a computer system may receive, from a client computing device, a software application. Subsequently, the computer system may receive, from the client computing device, a set of one or more testing parameters for testing the software application. Then, the computer system may create, based on the set of one or more testing parameters for testing the software application, a testing environment for the software application using a native hardware layer that represents hardware on which the software application is configured to be executed. Thereafter, the computer system may initiate a testing session in which software application is executed in the testing environment. Subsequently, the computer system may provide, to the client computing device, a control interface for controlling the testing session.

Providing testing environments for software applications using virtualization and a native hardware layer

A passive-tracking system is described herein. The system can include a visible-light sensor, a sound transducer, a thermal sensor, a time-of-flight (ToF) sensor, and a processor. The processor can receive visible-light frames from the visible-light sensor, sound frames from the sound transducer, thermal frames from the thermal sensor, and modulated-light frames from the ToF sensor. The processor, based on data of the visible-light and temperature frames, can also determine that an object is a living being and can provide an X and Y position of the object. The processor, based on data of the sound and positioning frames, can determine a Z position of the object. The X, Y, and Z positions may combine to form a three-dimensional (3D) position of the object. The processor can also passively track the object over time by selectively updating the 3D position of the object.

Visible-light-, thermal-, and modulated-light-based passive tracking system

A passive-tracking system is described herein. In one example, the passive-tracking system includes a thermal sensor configured to generate a series of thermal frames based on an object in a monitoring area. In this example, the system also includes a processor and a time-of-flight (ToF) sensor configured to generate a series of modulated-light frames based on the object. The processor may be configured to receive the thermal and modulated-light frames and based at least in part on the data of the frames, generate a novelty representation of the object. Based on this data, the processor may also be configured to determine whether the object is human and if so, generate a three-dimensional (3D) position of the human object. The processor may also be configured to passively track the human object over time by, based on the novelty representation, selectively updating the 3D position of the human object.

Growing community of inventors

Ocean Ridge, FL, United States of America

Christopher Wade