International Business Machines Corporation

Toshiba Global Commerce Solutions Holdings Corporation

Other

Globalfoundries Inc.

Lenovo (singapore) Pte. Ltd.

Jonathan Hudson Connell, Ii

Nalini Kanta Ratha

Sharathchandra UmapathiRao Pankanti

Rudolf Maarten Bolle

Arun Hampapur

Jonathan Lenchner

Lawrence Alfred Clevenger

Michael Rizzolo

Benjamin David Briggs

Robert G Farrell

Leigh Anne H Clevenger

Norman C Haas

Etienne Marcheret

Andrew William Senior

Myron Dale Flickner

Ying-Li Tian

Valentina Salapura

Brian Paul Gaucher

Jae-Eun Park

Jeffrey Owen Kephart

Rakesh Mohan

Maryam Ashoori

Rachel K E Bellamy

David O S Melville

James E Gentile

Lisa Maire Brown

Noel C Codella

Fred A Maymir-Ducharme

John Richard Smith

Canturk Isci

Danny Soroker

Chiao-Fe Shu

Lisa Marie Brown

Jason Benjamin Ellis

Suzanne K McIntosh

John C Nelson

Iqbal I Mohomed

Robert J Calio

Michael J Frissora

Fred A Maynir-Ducharme

James W Thoensen

Peter Kenneth Malkin

Hariklia Deligianni

Richard Hunter Harris

Shang Qing Guo

Samuel Jonathan Thomas

Chitra Dorai

Mark Edward Podlaseck

Sharathchandra Umapathirao Pankanti

Chalapathy Venkata Neti

Tsai-Yang Jea

Hyun Kyu Seo

Gaurav Aggarwal

Hui Wu

Charles A Otto

Vince Siu

Wendy Anne Kellogg

Gerasimos Potamianos

Yashodhara M Patnaik

Rachel Katherine Emma Bellamy

Hollis P Posey

Bernadette R Duponchel

Sharat Suresh Chikkerur

Emrah Akin Sisbot

Raymond A Cooke

Unsang Park

Louis J Percello

Carl E Abrams

Sunil J Noronha

Mishal Dholakia

Thomas J Hammershoy

Sharatchandra Pankanti

Craig Velliquette

David Osmond Scott Melville

Lawrence Arthur Heyl

Sharathchandra Pankanti

Determining lung capacity of includes capturing an audio waveform of the user performing an utterance presented to a user. A video of the user performing the utterance can be captured. The captured audio waveform and the video are analyzed for compliance. Based on the audio waveform, an indicator of respiratory function is determined. The indicator is compared with a reference indicator to determine health of the user. A machine learning model such as neural network can be trained to predict the indicator of the respiratory function based on input features comprising audio spectral and temporal characteristics of utterances. Determining the indicator or respiratory function can include running the trained machine learning model.

Multi-modal lung capacity measurement for respiratory illness prediction

Mechanisms are provided to implement a privacy enhanced location service for determining a granularity of location information to return to a requestor computing device. The privacy enhanced location service receives, from a requestor computing device, a location query requesting location information for a subject. The privacy enhanced location service retrieves a selected subject privacy policy data structure, selected from a set of subject privacy policy data structures corresponding to the subject identified in the location query. The privacy enhanced location service applies the selected subject privacy policy data structure to location information associated with the subject to generate modified location information having a granularity of location information specified in the selected subject privacy policy data structure. The privacy enhanced location service transmits the modified location information to the requestor computing device.

Privacy enhanced location verification for improved transaction security

An anonymized biometric representation of a target individual is used in a computer based security system. A detailed input biometric signal associated with a target individual is obtained. A weakened biometric representation of the detailed biometric signal is constructed such that the weakened biometric representation is designed to identify a plurality of individuals including the target individual. The target individual is enrolled in a data store associated with the computer based security system wherein the weakened biometric representation is included in a record for the target individual. In another aspect of the invention, a detailed input biometric signal from a screening candidate individual is obtained. The detailed biometric signal of the screening candidate is matched against the weakened biometric representation included in the record for the target individual.

Anonymizing biometric data for use in a security system

A bias compensation method, system, and computer program product include modifying a behavior of a first analytic engine service with a second analytic engine service, where the first service accepts user submitted data and communicates an assessment of the data in a form of a label associated with the corresponding submitted data, where the second service accepts an input and communicates an assessment in a form of a label associated with the corresponding input, and where a behavior model of the first service and the second service includes a discrepancy between the output labels by each service with respect to true labels of data accepted, further including composing a new analytic engine service from the first service and the second service to optimize a service bias in terms of a test dataset based on the behavior model and the known true assessments.

Post hoc bias compensation

Embodiments include methods, systems, and computer program products for detection and remediation of anxiety. Aspects include receiving an anxiety indicator. Aspects also include analyzing the anxiety indicator to determine whether an anxiety level exceeds an anxiety threshold. Aspects also include, based upon a determination that the anxiety level exceeds the anxiety threshold, selecting a first sound. Aspects also include outputting the first sound. Aspects also include receiving an anxiety feedback. Aspects also include determining, based upon the anxiety feedback, whether the anxiety level is decreasing.

Airborne anxiety detection and remediation

A processor may record a first location at an event with at least one person. The processor may monitor a plurality of actions of that at least one person at the first location. The processor may interpret at least one action of the at least one person that indicates a change of interest to a second location at the event. Based on the at least one action, the processor may determine the second location at the event. The processor may record the second location at the event.

Automatic selection of event video content

A drug delivery device includes a capsule, a logic circuit disposed within the capsule, and an actuator connected to the logic circuit and configured to expose an interior of the capsule to an exterior of the capsule upon activation by the logic circuit.

Drug delivery device having controlled delivery and confirmation

Embodiments of the present invention provides methods, computer program products, and a system for determining and displaying an image selected from a plurality of images based on a physical displacement of a device. Embodiments of the present invention can be used to generate a composite model based on a collected plurality of images. Embodiments of the present invention can be used to determine an image for display selected from the generated composite model based on a physical displacement of a device.

Haptic movable display for spatial correlation

A system, method and program product for authenticating a device. An authentication service is provided having: a data management system for periodically collecting and storing signature data from each of a set of registered devices, wherein the signature data includes a plurality of data points, and wherein at least one of the data points includes a device usage characteristic; a system for obtaining a temporal signature state (TSS) vector of a device in response to a transaction request from the device, wherein the TSS vector includes values for a selected subset of the data points forming the signature data; and an authenticator for comparing the TSS vector of the device with stored signature data in order to authenticate the device.

Device authentication using synchronized activity signature comparison

A camera field indicating method, system, and non-transitory computer readable medium for a camera including imaging optics, a light sensor, the imaging optics and the light sensor intermittently sensing incoming light, and an edge-lit illuminator including a light source and a leaky waveguide situated adjacent the imaging chip so as to share the imaging optics with the light sensor.

Camera apparatus for indicating camera field of view

In one embodiment, in accordance with the present invention, a method, computer program product, and system for performing actions based on captured interpersonal interactions during a meeting is provided. One or more computer processors capture the interpersonal interactions between people in a physical space during a period of time, using machine learning algorithms to detect the interpersonal interactions and a state of each person based on vision and audio sensors in the physical space. The one or more computer processors analyze and categorize the interactions and state of each person, and tag representations of each person with the respectively analyzed and categorized interactions and states of the respective person over the period of time. The one or more computer processors then take an action based on the analysis.

Detecting interaction during meetings

A computer-implemented method, data processor and computer program product determine exposure levels to external stimuli. At least one environmental condition is monitored and an external stimulus event is identified based on the at least one environmental condition. An intensity level of the external stimulus event is determined to exceed a predetermined threshold. An exposure level of the external stimulus is determined by integrating the intensity level over time. At least one human biometric quantity of a user is measured and a personal exposure level limitation is determined for the user based on the measured at least one human biometric quantity. When the exposure level exceeds the personal exposure level limitation, the user is warned of the exposure level. The human biometric quantity is one of: heart rate, blood pressure, body temperature, glucose level, blood oxygen level, muscle activity, electrolyte level, and lactic acid level.

Cognitive personal health limit detector and trainer using a wearable smart mobile device

A meeting management method, system, and non-transitory computer readable medium, include a target determination circuit configured to determine a target of an agenda for a meeting, the target of the agenda including which users correspond to a topic, a behavior capturing circuit configured to capture behavior of the users during the meeting, a tracking and identifying circuit configured to track the behavior of the users during the meeting and identify a user of the users corresponding to the behavior, and a difference determination circuit configured to determine if a difference between the behavior of the users and the target of the agenda is greater than a threshold value.

Meeting management system

An embodiment of the invention provides a method for secure biometrics matching with split phase client-server matching protocol, wherein a first biometric input is received in an electronic device. The first biometric input is stored in the electronic device as a biometric profile; and, the biometric profile is sent to a server. An additional biometric input is received from a user in the electronic device; and, the additional biometric input is compared to the biometric profile stored in the electronic device to generate a local matching score. The additional biometric input is sent to the server. The local matching score and a remote matching score generated by the at least one server are compared; and, it is determined whether to authenticate the user based on the comparison of the local matching score and the remote matching score.

Secure biometrics matching with split phase client-server matching protocol

Embodiments include method, systems and computer program products for providing medication-related feedback. Aspects include receiving medication information for a patient. Aspects also include receiving a biological, behavioral, or environmental output from a sensor. Aspects also include determining, based upon the biological, behavioral, or environmental output and the medication information for the patient, whether a medication dose is needed. Aspects also include, based on a determination that the medication dose is needed, generating an alert.

Medication scheduling and alerts

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Cortlandt-Manor, NY, United States of America

Jonathan Hudson Connell, Ii