Intel Corporation

Fuji Xerox Co., Ltd.

Fujifilm Business Innovation Corp.

Daniel Avrahami

Scott Carter

Jennifer Marlow

Jacob Biehl

Matthew L Lee

Francine R Chen

Andreas Girgensohn

Qiong Liu

Anthony Dunnigan

Jered H Wikander

Yanxia Zhang

Hao Hu

Yanjun Zhu

Laurent Denoue

Sven Kratz

Matthew L Cooper

Jennifer Anne Healey

Yusuke Yamaura

Miteshkumar Patel

Gamil A Cain

Nami Tokunaga

Ariel Malamud

Christine Marie Dierk

Greg D Kaine

Kandha Sankarapandian

Lonny Baskin

Di Lu

Eveline Van Everdingen

Scott Cambo

Jered B Wikander

Rafal Kocielnik

Example implementations are directed to a method of receiving information associated with an activity, analyzing the information to identify a first pattern and a second pattern, and generating a customized recommendation model for the second pattern based on the first pattern. In response to a detected trigger indicating a transition to the second pattern, the method assesses context factors to verify the transition to the second pattern without interrupting the first pattern. Based on the verification, the method applies the model to provide redirection based on the recommendation.

Systems and methods for context aware redirection based on machine-learning

A computer-implemented method, comprising, extracting a video sequence, the video sequence including a series of video frames, estimating current poses of one or more subjects within each video frame and determining joint locations for a joint associated with the one or more subjects within each video frame, computing optical flows from the video sequence, extracting motion features from the video sequence based on the optical flows, and predicting at least one future pose.

System and method for vision-based joint action and pose motion forecasting

To prevent the spread of hospital-acquired infections, embodiments described herein monitor mobile device usage in clinical settings (by a physician, nurse, etc.) to characterize potential pathogenic contamination of the mobile device, the user's hands, and the surfaces in contact with the device. Our method considers the physical properties of how the device is handled and held during use, as well as the location and setting before, during, and after use to estimate potential contamination and transmission of pathogens. A system can use the estimation, along with knowledge (e.g., of the user's upcoming schedule) to alert them of potential contamination hazards and suggest when to avoid mobile device use as well as when to sanitize the device and user's hands.

System and method for estimating pathogen transfer from mobile interaction in clinical environments and a warning system and method for reducing cross-contamination risks

Example implementations are directed to systems and methods for a context aware conversational agent for self-learning. In an example implementation, a method includes generating a journaling model based on activity data and engagement data associated with one or more tasks of a user. The journaling model uses machine-learning to identify a context pattern using the activity data, and maps performance associated with the one or more tasks based at least on the engagement data. The method adaptively provides a prompt to gather additional engagement data based on the context pattern in view of real-time activity data, where the prompt is generated based on the journaling model. The journaling model is updated based on the additional engagement data.

Systems and methods for a context aware conversational agent for journaling based on machine learning

Systems and methods of the present disclosure can involve several work spaces wherein each of the work spaces are associated with a set of activities and wherein each of the work spaces are coupled to one or more radio frequency (RF) sensors. Through RF sensor data detected from interactions with the work surface, example implementations described herein can determine which activity from the set of activities is being conducted through the application of a recognition algorithm that is generated from a machine learning algorithm.

User activity recognition through work surfaces using radio-frequency sensors

A computer-implemented method, comprising extracting each frame of a video sequence, estimating current poses of a subject within each frame and determining joint locations for a joint associated with the subject within each frame, computing optical flows between each pair of consecutive video frames, extracting motion features from each video frame of the video sequence based on the optical flows, encoding state information based on the current poses and the motion features, determining a current action label for each motion feature in the state information for a first frame; predicting future action labels for each motion feature in a second frame subsequent to the first frame, based on the current pose, action label and state information, predicting future poses for each motion feature in the second frame based on the current poses and the state information; and refining the current action label, the future action labels, and the future poses.

Recent technical advances have expanded the breadth, scope, and affordability of virtual reality (VR) and augmented reality (AR) systems. More people can use VR and AR systems than ever before. However, hand-held physical controls for these systems have not made similar advances yet. For this reason, it remains difficult for developers to create applications that take advantage of the full range of human abilities. In this proposal, we describe a system and method for combining off-the-shelf smartwatches with a set of inexpensive grips or sheaths to control VR/AR systems. With our approach, all of the computation and power for the controller derive from the smartwatch unit, allowing the grips to take almost any form, and allowing developers and designers to integrate a much wider array of interaction styles into their applications.

Low-power, personalized smart grips for VR/AR interaction

Example implementations are directed to a method of receiving information associated with an activity, analyze the information to identify a first pattern and a second pattern, generate a customized transition model for returning to the first pattern. In response to a detected trigger indicating a transition to the first pattern, the method assesses context factors to apply the customized transition to dynamically manage access to digital resources during the transition to the first pattern. In response to a determination that a transition to the first pattern satisfies a threshold, the method restores access to the digital resources.

Systems and methods for access control based on machine-learning

A method of controlling access to an enclosed area having a boundary includes generating a first inaudible audio signal inside the enclosed area, and generating a second signal, each configured to be sensed by a sensing device, wherein the first inaudible audio signal is not capable of penetrating the boundary; determining a state of the enclosed area, based on either the first inaudible audio signal, or the first inaudible audio signal and the second signal, being sensed by the sensing device; and based on the state, generating an instruction to perform access control for the enclosed area.

System and method of access control for spaces and services

Example implementations are directed to methods and systems for curating messages from viewers to identify a question associated with a recorded video that include video data, where the question is extracted from a queue of the video data; analyze the video data to determine one or more answer segments for the question that satisfy a confidence score based on a location of the question in the recorded video; and generate an answer summary for the question with links to each of the one or more segments, where the links are ranked based on the confidence score.

Systems and methods for content curation in video based communications

In one embodiment, an apparatus includes a processor circuit; a media distribution component for execution on the processor circuit to manage presentation of a media presentation on multiple electronic displays, the media presentation comprising a video part and an auxiliary data part, the auxiliary data part comprising sensor data corresponding to the video part, the media distribution component to manage presentation of the video part on an external display and the auxiliary data part on an integrated display. Other embodiments are disclosed and claimed.

Techniques and system for multiple display media presentations

Technologies for generating a warning based on environmental conditions sensed in a vehicle include an in-vehicle warning system for determining whether an operator of the vehicle is present, determining whether a non-operator occupant is present in the vehicle, and determining whether environmental conditions sensed within the vehicle satisfy a reference condition threshold. Such technologies may also include performing an emergency action in response to determining that the environmental conditions sensed within the vehicle satisfy the reference condition threshold, determining that the operator of the vehicle is not present, and determining that the non-operator occupant is present in the vehicle.

Responding to in-vehicle environmental conditions

Described are systems and methods for helping a participant, who is represented in a remote space by a remote device, to understand the physical state of the remote device in the remote space. This is done through physical and virtual changes in their local space that reflect their own remote physical representation. For example, if their action in the local space causes the remote telepresence robot to rotate 90 degrees, their local display through which the control the robot might rotate 9 degrees. The described methods will help participants have a greater sense of presence in a remote space.

Systems and methods for conveying physical state of a remote device

Technologies for interacting with media content on a media consumption device include playing media content in a first display window displayed on a display screen. In response to receiving an input gesture, the first display window may be shifted on the display screen while the playback of the media content is adjusted based on the input gesture. Additionally, a new display window may be shifted on to the display screen. A frame of the media content occurring at a determined skip point may be displayed in the new display window.

Technologies for skipping through media content

In one embodiment, an apparatus may include a processor circuit and a keyframe indexing module that is operative on the processor circuit to map sensor data from a first sensor to a set of video data, where the sensor data and video data correspond to an event. The keyframe indexing module may be further operative on the processor circuit to identify one or more key portions of the set of sensor data, index the one or more key portions to respective mapped one or more video frames of the video data, and generate a first keyframe index to identify the one or more video frames.

Growing community of inventors

Mountain View, CA, United States of America

Daniel Avrahami