Qualcomm Incorporated

Fitzgerald John Archibald

John Keith Schneider

Khosro Rabii

Laurence Geoffrey Lundblade

David Tamagno

Ashwin Deepak Swaminathan

Stephen Michael Gojevic

Jack Conway Kitchens, Ii

Tadeusz Jarosinski

Evan Michael Breloff

Alexei Stoianov

James Anthony Miranto

Frederick W Kiefer

Emily Kathryn Brooks

Hima Bindu Damecharla

Hrishikesh Vijaykumar Panchawagh

Yipeng Lu

Francis B MacDougall

Nicholas Ian Buchan

Sandeep Louis D'Souza

Raj Kumar

Sai Praneeth Sreeram

Chin-Jen Tseng

Alwyn Dos Remedios

Tao Sheng

Nirma Lnu

Ming Li

Some disclosed methods involve controlling, via a control system, a light source system to emit a plurality of light pulses into biological tissue, the biological tissue including blood and blood vessels at depths within the biological tissue. Such methods may involve receiving, by the control system, signals from the piezoelectric receiver corresponding to acoustic waves emitted from portions of the biological tissue, the acoustic waves corresponding to photoacoustic emissions from the blood and the blood vessels caused by the plurality of light pulses. Such methods may involve generating, by the control system, a plethysmography image based on heart rate waveforms in the signals, and determining a blood pressure differential by comparing the plethysmography image with a reference plethysmography image.

Differential blood pressure estimation based on two-dimensional plethysmography images

An apparatus may include a cover layer, a layer of first metamaterial proximate (or in) the cover layer, a light source system configured for providing light to the layer of first metamaterial and a receiver system. The first metamaterial may include nanoparticles configured to create ultrasonic waves when illuminated by light. The receiver system may include an ultrasonic receiver system configured to receive ultrasonic waves reflected from a target object in contact with, or proximate, a surface of the cover layer. The control system may be configured to receive ultrasonic receiver signals from the ultrasonic receiver system corresponding to the ultrasonic waves reflected from the target object and to perform an authentication process and/or an imaging process that is based, at least in part, on the ultrasonic receiver signals.

Fingerprint sensor system including metamaterial

The described techniques support a sensing scheme for electromagnetic excitation in ultrasonic imaging sensors. A biological tissue may be sensed and imaged using an electromagnetic excitation process to generate ultrasonic waves, such as, within the tissue. A component of a device may generate one or more pulses of electromagnetic waves, which may encounter and enter the biological tissue. In some examples, the component may be a display interface or may be different from a display interface of the device. The electromagnetic waves may excite the biological tissue and generate ultrasonic waves via expansion and contraction of the tissue upon heating. The ultrasonic waves may propagate within the biological tissue and may be sensed by an ultrasonic receiver array. The sensed ultrasonic waves may be converted to pixel image data of a biometric image and may be used for biometric authentication.

Ultrasonic fingerprint scanning by means of photoacoustic excitation

Methods, systems, and techniques to enhance computer vision application processing are disclosed. In particular, the methods, systems, and techniques may reduce power consumption for computer vision applications and improve processing efficiency for computer vision applications.

Computer vision application processing

Techniques for authenticating a biometric input are disclosed. An example of a biometric authentication system is configured to receive a biometric input, perform a first authentication process on the biometric input with an application processor, such that the first authentication process generates one or more authentication parameters, provide the one or more authentication parameters to a secure processor, perform a second authentication process on the biometric input on the secure processor, such that the second authentication process utilizes the one or more authentication parameters, and output an authentication score based on the second authentication process.

Managing latency and power in a heterogeneous distributed biometric authentication hardware

A system and method for reducing sensor redundancy in sensor-equipped devices includes identifying, via a master device, at least one device within an area. The at least one device is queried to determine at least one of a device status or application status for the at least one device. A configuration of one or more sensors within the at least one device based at least in part on the querying is determined. The one or more sensors within the at least one device is configured to balance quality of service across the master device and the at least one device, based at least in part on the determining.

Multi-device sensor subsystem joint optimization

Apparatuses, systems, and techniques are disclosed for rapidly identifying potential candidates within a pool of enrolled fingerprint images for unconstrained fingerprint matching with an inquiry fingerprint. The techniques may include applying one or more window regions to both enrolled and inquiry fingerprint images and determining a minutiae score for each such window region based on the minutiae within that window region. One or more components of the minutiae score for window regions of the inquiry image may then be compared against similar components in the minutiae scores for window regions of the enrolled fingerprint images, and enrolled fingerprint images having window regions with minutiae scores sufficiently similar to the minutiae score of a window region of the inquiry fingerprint image may be selected for later unconstrained matching with the inquiry fingerprint image.

Fast, high-accuracy, large-scale fingerprint verification system

Embodiments of apparatus, computer program product, and method for verifying fingerprint images are disclosed. In one embodiment, a method of verifying fingerprint images includes receiving an inquiry fingerprint image of a user, identifying pattern characteristics of the inquiry fingerprint image, identifying minutiae characteristics of the inquiry fingerprint image, determining a weighted combination of the pattern characteristics of the inquiry fingerprint image and the minutiae characteristics of the inquiry fingerprint image, where the weighted combination comprises a pattern matching weight and a minutiae matching weight derived in accordance with a separation of a first empirical probability density function of genuine fingerprints from a second empirical probability density function of impostor fingerprints, and verifying the inquiry fingerprint image based on a set of fused scores computed using the weighted combination of the pattern characteristics of the inquiry fingerprint image and the minutiae characteristics of the inquiry fingerprint image.

Fingerprint verification system

Disclosed is a mobile device to provide enhanced security based upon contextual sensor inputs. The mobile device may include: a biometric sensor; a contextual sensor; and a processor. The processor may be configured to: determine an authentication score based upon a biometric input received from the biometric sensor; modulate the authentication score based upon a contextual sensor input from the contextual sensor related to an event; and determine if the modulated authentication score falls below a predetermined threshold. If the authentication score falls below the predetermined threshold, the processor may command that a secondary authentication be performed or the destruction of a biometric template.

Mobile device to provide enhanced security based upon contextual sensor inputs

One feature pertains to biometric authentication of a user between devices. In one aspect, an ad hoc personal wireless network may include a primary device and one or more secondary devices using grouping policies such proximity policies and other permissions. The primary device shares a biometric authentication value of a user with the one or more secondary devices. Each secondary device may then perform additional authentication of the same user using a relatively low reliability biometric sensor such as a digital camera for facial recognition, a microphone for voice recognition or an accelerometer for gesture recognition. The secondary authentication results may be combined with the biometric authentication score/level from the primary device to form a final authentication score/level of the secondary device, which is used to authenticate the user of the secondary device for one or more transactions such as consumer purchases, secure content access, or secure control.

Distributing biometric authentication between devices in an ad hoc network

Methods and apparatuses are presented for determining whether a gesture is being performed in a sequence of source images. In some embodiments, a method includes detecting a gesture in each of one or more reference images using one or more gesture models of a plurality of gesture models. The method may also include selecting a first gesture model from the one or more gesture models that most closely matches the detected gesture, prioritizing the first gesture model over other gesture models in the plurality of gesture models for searching for the gesture in the sequence of source images, and scanning the sequence of source images to determine whether the gesture is being performed, using the prioritized first gesture model. If the gesture is being performed, the method may end scanning prior to using another gesture model of the plurality of gesture models to determine whether the gesture is being performed.

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Toronto, Canada

Fitzgerald John Archibald