Samsung Electronics Co., Ltd.

Abhijit Z Bendale

Pranav K Mistry

Bola Esther Yoo

Kijeong Kwon

Ankur Gupta

Anil Unnikrishnan

Michael Sapienza

Simon J Gibbs

Fannie Fontanel

Jiawei Zhang

Jihee Kim

Seungsu Hong

Sajid Hassan Sadi

Lu Luo

Link Chun Huang

Anthony S Liot

Zhihan Ying

Jawahar Jain

Bo Li

Cody Blair Wortham

James Young

Hyun Jae Kang

Won J Jeon

Stanislaw Antol

Sergio Perdices-Gonzalez

Brian Thomas Harms

Cathy Kim

Ruokan He

Michael Noh

Jason Yeh

Yingying Ren

Sergi Perdices-Gonzalez

Samara Ren

Brian Harms

Saji Sadi

Communications pertaining to a digital human can include communicating via a lighting system based on determining an aspect of a user based on one or more sensor-generated signals. A communicative lighting sequence can be determined based on the user attribute. The lighting sequence can correspond to a condition of a digital human and can be configured to communicate to the user the condition of the digital human. The light sequence can be generated with an LED array mounted on a digital human display assembly.

Communicative light assembly system for digital humans

A digital human display assembly can include a rectangular display panel enclosed within a frame, the rectangular display panel capable of visually rendering a digital human during an interactive dialogue between the digital human and a user. The digital human display assembly also can include a glass covering enclosed within the frame and extending over a front side of the rectangular display panel. A base can support the frame in an upright position. A light emitting diode (LED) arrangement can be positioned on one or more outer portions of the frame.

Structural assembly for digital human interactive display

A digital human interactive platform can determine a contextual response to a user input and generate a digital human. The digital human can convey the contextual response to the user in real time. The digital human can be configured to convey the contextual response with a predetermined behavior corresponding to the contextual response.

Interactive system application for digital humans

Display screen or portion thereof with graphical user interface

A digital human development platform can enable a user to generate a digital human. The digital human development platform can receive user input specifying a dialogue for the digital human and one or more behaviors for the digital human, the one or more specified behaviors corresponding with one or more portions of the dialog on a common timeline. Scene data can be generated with the digital human development platform by merging the one or more behaviors with one or more portions of the dialogue based on times of the one or more behaviors and the one or more portions of the dialog on the common timeline.

Development platform for digital humans

Display system with graphic user interface

A system and method for a master platform includes receiving first pose data associated with an image sensor of a first device, and a first semantic map generated by the first device, the first semantic map including a simplified object representation in a coordinate space of the first device. The master platform also receives second pose data associated with an image sensor of a second device, and a second semantic map generated by the second device, the second semantic map including a simplified object representation in a coordinate space of the second device. A shared simplified object representation common to the first and semantic maps is identified. The master platform further combines the first semantic and second semantic maps based on the first and second pose data. The first pose data, first semantic map, second pose data, and second semantic map are associated with a common time interval.

Semantic mapping for low-power augmented reality using dynamic vision sensor

In one embodiment, a method includes, by one or more computing systems: receiving one or more non-video inputs, where the one or more non-video inputs include at least one of a text input, an audio input, or an expression input, accessing a K-NN graph including several sets of nodes, where each set of nodes corresponds to a particular semantic context out of several semantic contexts, determining one or more actions to be performed by a digital avatar based on the one or more identified semantic contexts, generating, in real-time in response to receiving the one or more non-video inputs and based on the determined one or more actions, a video output of the digital avatar including one or more human characteristics corresponding to the one or more identified semantic contexts, and sending, to a client device, instructions to present the video output of the digital avatar.

Generating digital avatar

An untethered apparatus for performing inside-out device tracking based on visual-inertial simultaneous location and mapping (SLAM) includes a dynamic vision sensor (DVS) configured to output an asynchronous stream of sensor event data, an inertial measurement unit (IMU) sensor configured to collect IMU data associated with motion of the apparatus at a predetermined interval, a processor and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to accumulate DVS sensor output over a sliding time window, the sliding time window including the predetermined interval, apply a motion correction to the accumulated DVS sensor output, the motion correction based on the IMU data collected over the predetermined interval, generate an event-frame histogram of DVS sensor events based on the motion correction, and provide the event-frame histogram of the DVS sensor events and the IMU data to a visual inertial SLAM pipeline.

CMOS-assisted inside-out dynamic vision sensor tracking for low power mobile platforms

A computer-implemented method of providing an emotion-aware reactive interface in an electronic device includes receiving an image of a user as an input and identifying a multi-modal non-verbal cue in the image. The method further includes interpreting the multi-modal non-verbal cue to determine a categorization and outputting a reactive interface event determined based on the categorization.

Emotion-aw are reactive interface

Growing community of inventors

Campbell, CA, United States of America

Abhijit Z Bendale