University of Denver

Dream Face Technologies, Inc.

Mohammad H Mahoor

Joshua T Lane

Hojjat Abdollahi Pourhaghighi

Joshua Nedrud

Hosein M Golshan

Ali Mollahosseini

Sara J Hanrahan

Soroush Niketeghad

Eshrat S Emamian

Adam O Hebb

Hadi Rezaeilouyeh

Luke Skelly

Quinn Martindale-George

Dan Stoianovici

James Slater

Damian Griffin

Social robot

A companion robot is disclosed. In some embodiments, the companion robot may include a head having a facemask and a projector configured to project facial images onto the facemask; a facial camera; a microphone configured to receive audio signals from the environment; a speaker configured to output audio signals; and a processor electrically coupled with the projector, the facial camera, the microphone, and the speaker. In some embodiments, the processor may be configured to receive facial images from the facial camera; receive speech input from the microphone; determine an audio output based on the facial images and/or the speech input; determine a facial projection output based the facial images and/or the speech input; output the audio output via the speaker; and project the facial projection output on the facemask via the projector.

Socially assistive robot

Systems and methods are disclosed to detect and/or classify electrophysiological signals as motor events. In some embodiments, a method may include: recording a first plurality of electrophysiological signals from a first plurality of probes inserted into the left hemisphere of the brain; recording a second plurality of electrophysiological signals from a second plurality of probes inserted into the right hemisphere of the brain; pre-processing the first plurality of electrophysiological signals and the second plurality of electrophysiological signals; bipolar re-referencing the first plurality of electrophysiological signals and the second plurality of electrophysiological signals; determining an optimal pair of electrophysiological signals from the bipolar re-referenced first plurality of electrophysiological signals and the bipolar re-referenced second plurality of electrophysiological signals; matching the optimal pair of electrophysiological signals with a template; and detecting motor events from the matching.

Motor task detection using electrophysiological signals

A therapeutic system comprising a posture-mimicry robot comprising a head-assembly, a neck assembly, and a body assembly comprising a hemispherical bottom portion; and a base portion comprising three rotary actuators; wherein the posture-mimicry robot is configured to perform rotational movement in each of yaw, pitch, and roll axes to perform therapeutic interactive movements, gestures, and audio-visual cues.

Therapeutic social robot

Various arrangements for identifying and grading cancer in tissue samples are presented. A digital image of a stained tissue sample may be acquired. A Shearlet transform may be performed on the digital image of the stained tissue sample. Shearlet coefficients may be calculated based on the performed Shearlet transform of the normalized digital RGB image of the stained tissue sample. A trained neural network may be applied to create a plurality of feature maps using the digital image and Shearlet coefficients, wherein the trained neural network was trained using a plurality of images and Shearlet coefficients of a plurality of digital images. A classifier may be applied to an output of the trained neural network to identify whether cancer is present in the stained tissue sample. A notification may be output that is indicative of a grade of detected cancer in the sample.

Methods and systems for human tissue analysis using shearlet transforms

Some embodiments of the invention are directed toward a robotic head that includes a head enclosure; a translucent face mask coupled with the head enclosure, having a front side and a rear side; a neck system coupled with the head enclosure and configured to move the head enclosure; and a projector coupled with the head enclosure and disposed to project images of a face onto the rear side of the face mask.

Rear-projected life-like robotic head

Growing community of inventors

Lone Tree, CO, United States of America

Mohammad H Mahoor