Koninklijke Philips Corporation N.v.

Signify Holding B.v.

Philips Lighting Holding B.v.

Entropic Communications, Inc.

Philips Image Guided Therapy Corporation

Trident Microsystems (far East) Ltd.

Tp Vision Holding B.v.

Versuni Holding B.v.

Frederik Jan De Bruijn

Lorenzo Feri

Tommaso Gritti

Ruud Vlutters

Karl Catharina Van Bree

Remco Theodorus Johannes Muijs

Vincentius Paulus Buil

Yong Jiang

Mohankumar Valiyambath Krishnan

Dmitry Nikolayevich Znamenskiy

Daniel Willem Elisabeth Schobben

Mark Thomas Johnson

Bernardus Hendrikus Wilhelmus Hendriks

Vincent Jeanne

Tim Corneel Wilhelmus Schenk

Lucas Jacobus Franciscus Geurts

Ruben Rajagopalan

Drazenko Babic

Giovanni Cennini

Adrienne Heinrich

Chris Damkat

Bartel Marinus Van De Sluis

Philip Steven Newton

Maarten Marinus Johannes Wilhelmus Van Herpen

Marcellinus Petrus Carolus Michael Krijn

Francois Guy Gerard Marie Vignon

Dirk Valentinus René Engelen

Siebe Tjerk De Zwart

Bart Kroon

Bart Andre Salters

Johannes Wilhelmus Weekamp

Mark Jozef Willem Mertens

Sheng-Wen Huang

Wilhelmus Hendrikus Alfonsus Bruls

Gerhardus Wilhelmus Lucassen

Ronald Rietman

Kars-Michiel Hubert Lenssen

Franciscus Johannes Gerardus Hakkens

Christoph Dobrusskin

Johannes Henricus Maria Korst

Constant Paul Marie Jozef Baggen

Jun Seob Shin

Michiel Adriaanszoon Klompenhouwer

Robert Johannes Frederik Homan

Hongming Yang

Klaas Jacob Lulofs

Andrew Hancock

Caifeng Shan

Abraham Karel Riemens

Peter-Andre Redert

Gerben Kooijman

Michael Cornelis Van Beek

Robert James Davies

Stephanus Joseph Johannes Nijssen

Harold Agnes Wilhelmus Schmeitz

Victor Martinus Gerardus Van Acht

Aditya Mehendale

Arnoldus Johannes Martinus Jozeph Ras

Binyam Gebrekidan Gebre

Antonius Johannes Joseph Wismans

Sergio Consoli

Petra Bijl

Orhan Kahya

Yao Hean Chiah

Leo Jan Velthoven

Wei Pien Lee

Onno Martin Janssen

Dmitri Anatolievich Chestakov

Reinier Bernardus Maria Klein Gunnewiek

Mart Kornelis-Jan Te Velde

Vincent Maurice André Auvray

Bart Gerard Bernard Barenbrug

Jorrit Ernst De Vries

Jelte Peter Vink

Egbertus Reinier Jacobs

Bart Jacob Bakker

Stijn De Waele

Karel Johannes Adrianus Van Den Aker

Susanne Maaike Valster

Boon Teck Tan

Bjorn Christiaan Wouter Kaag

Paul Henricus Johannes Maria Van Voorthuisen

Ralph Braspenning

Jasper De Vreede

Gerardus Cornelis Petrus Lokhoff

Nehal R Dantwala

Dmitry Nikolaevich Znamenskiy

Yen Leng Pang

Peter Hoekstra

Ruud Johannes Gerardus Van Sloun

Shakith Devinda Fernando

Wee Ann Chong

Benjamin Johannes Vos

Wilhelmus H A Bruls

Hee Poh Sin

Mounir Zeitouny

Kenny Khng

Tim Corneel Wilhel Schenk

Arnoldus Antonius De Beijer

Giel Van Doren

A method and system for monitoring the location of an oral care device () within the mouth of a user, includes: an oral care device () having a light source (); an optical sensor () configured to receive light emitted by the light source and to receive light reflected from a user using the oral care device; a computing device () adapted to receive and process signals generated by the optical sensor, and programmed to: detect at least one facial feature of the user from the received light reflected from a user; estimate the location of the user's teeth according to the detected facial feature; determine a location of the light source according to the received emitted light; compare the location of the light source to the location of the teeth to estimate the position of the oral care device with respect to the teeth of the user.

System and method for tracking an oral care device

The invention relates to a method for adaptive beamforming of ultrasound signals, the method comprising the steps of (a) Receiving time-aligned RF signals acquired by multiple ultrasound transducer elements in response to an ultrasound transmission; (b) Determining content-adaptive apodization weights for beamforming the time-aligned RF signals by applying a trained artificial neural network () to the time-aligned RF signals; and (c) Applying the content-adaptive apodization weights to the time-aligned RF signals to calculate a beamformed output signal. The invention also relates to a method for training an artificial neural network () useful in adaptive beamforming of ultrasound signals, and a related computer program and system.

Method and system for adaptive beamforming of ultrasound signals

The invention provides an ultrasound data processing method () for detecting presence of an intravascular object in a vessel lumen based on analysis of acquired intravascular ultrasound data of the lumen. The method comprises receiving () data comprising multiple frames, and each frame containing data for a plurality of radial lines, corresponding to different circumferential positions around the IVUS device body, and reducing () the data to a single representative value for each radial line in each frame. These representative values are subsequently processed to derive () values for at least each frame representative of a probability of presence of an object within the given frame. Based on the probability values, a region within the data occupied by an intravascular object, for instance a consecutive set of frames occupied by an object, is determined ().

Ultrasound analysis method and device

An apparatus including a display surface for presenting an image of a user; a light emitting portion for using light to convey semantic information to the user; a sensor for measuring the position of the user relative to the light emitting portion; and a control unit to control the light emitting portion based on the measured position of the user relative to the light emitting portion so as to minimize an effect of the light conveying the semantic information provided by the light emitting portion on the presented image of the user.

Apparatus for providing semantic information and a method of operating the same

The invention relates to a portable device () comprising a bottom surface (BS) intended to be in contact with a textile (TXT). The portable device comprises an image sensor () for taking an image of a textile, and an illumination system () for illuminating a portion of the textile when said image is being taken. The portable device also comprises a control unit () for executing an algorithm stored in the portable device, using the taken image as an input of said algorithm, to obtain a classification of the textile. The image sensor and the control unit are integrated within the portable device. The image sensor has an active surface sensitive to light, which is oriented compared to said bottom surface (BS), with an absolute value of the orientation angle being in the range 15-70 degrees; and/or the illumination system () has a light source oriented compared to the said bottom surface (BS), with an absolute value of the orientation angle being in the range 15-70 degrees.

Portable device with image sensor and illumination system for textile classification

Systems and methods for suppressing off-axis sidelobes and/or clutter, near-field reverberation clutter, and/or grating lobe contributions are disclosed. A dual apodization with median (DAM) filtering technique is disclosed. The dual apodization technique may include summing aligned channel data with apodization functions () with complementary apertures applied. Median values for a zero function (RF) and the resulting signals (RF, RF) from the complementary apertures are determined to generate a median value signal (, MVS). The median value signal is used to generate an ultrasound image with enhanced image contrast. A method of image smoothing of the ultrasound image with enhanced image contrast is also disclosed. The smoothed image may include low frequency components of the ultrasound image with enhanced image contrast and high frequency components of an original image.

Methods and systems for ultrasound contrast enhancement

The invention relates to a respiratory motion detection apparatus () for detecting respiratory motion of a person. An illuminator () illuminates the person () with an illumination pattern (), and a detector () detects the illumination pattern () on the person () over time. A temporal respiratory motion signal being indicative of the respiratory motion of the person () is determined from the detected illumination pattern by a respiratory motion signal determination unit (). The illumination pattern deforms significantly with slight movements of the person. Thus, since the respiratory motion signal determination unit () is adapted to determine the temporal respiratory motion signal from the detected illumination pattern, even slight respiratory movements of the person can be determined. The sensitivity of detecting respiratory movements of a person can therefore be improved.

Respiratory motion detection apparatus

A portable textile treatment device includes a heatable soleplate for contacting and treating the textile, an image sensor and an illumination system. The image sensor has an active surface sensitive and takes an image of the textile, and the illumination system has a light source that illuminates a portion of the textile when the image is being taken. The portable device also includes a control unit configured to execute an algorithm stored in the portable device for obtaining a classification of the textile based on taken image, and based on the classification for controlling at least one operating parameter of the portable textile treatment device. The image sensor and/or light source are oriented with respect to the surface of the heatable soleplate, with an absolute value of an orientation angle being in the range from 15 to 70&#xb0; C.

Portable textile treatment device with image sensor and illumination system for textile classification

The invention relates to a method of operating a textile treatment device comprising a heatable soleplate intended to be in contact with a textile for treating the textile. The method comprises a first step () of setting a first temperature target for the heatable soleplate, and a step () of detecting movement of said textile treatment device. If the step () of 5 detecting movement did not detect any movement of said textile treatment device during more than a given first time duration, a step () of actively decreasing the temperature of the heatable soleplate () up to reaching a first given temperature having a value below said first temperature target.

Method for actively decreasing the temperature of a heatable soleplate in a textile treatment device

A signalling apparatus comprising: a non-light-emitting element arranged to transmit and/or reflect light from a light-emitting element, the non-light-emitting element having a variable transmission and/or reflectance respectively, and the non-light-emitting element being separate from the light-emitting element; and a controller configured to control the transmission and/or reflectance of the non-light-emitting element in order to temporally modulate the light and to thereby embed data into the light in a manner imperceptible to human vision; wherein the non-light-emitting element is arranged to transmit and/or reflect the light towards a detecting apparatus housed in a unit separate from the light-emitting element and non-light-emitting element, in order for the embedded data to be detected by the detecting apparatus.

Embedding data into light

A method () of locating a mobile device in a group of mobile devices is disclosed. The method comprises transmitting () a request message defining a code, receiving () the request message, driving () a light source of a light emitting mobile device such that it emits light being coded according to the code, detecting (), by a light receiving device, the light emitted by the light source, retrieving () the code from the light, identifying () the light emitting mobile device based on the code, and providing () an indicator on the light receiving mobile device, the indicator indicating the location of the light emitting mobile device.

Method of locating a mobile device in a group of mobile devices

An adaptive lighting system (), a (virtual) mirror arrangement, a method of controlling light sources of an adaptive light sources, a method of controlling a virtual mirror and a computer program product are provided. The adaptive lighting system is for a mirror component that is configured to show a mirror image of the user at the mirror surface of the mirror component. The adaptive lighting system comprises a plurality of individually controllable light sources (), a sensor (), and a controller (). The sensor detects a relative orientation of the head of the user with respect to the mirror surface. The controller generates control signals () for the individually controllable light sources on the basis of the sensor signal. The controller generates the control signals to obtain a lower emission of light towards eyes of the user if the sensor signal indicates that the head is turned left sidewards, upwards, right sidewards and/or downwards.

Adaptive lighting system for a mirror component and a method of controlling an adaptive lighting system

A system for determining a distance to an object comprises an image capture device () which has a coded aperture and an image sensor which is positioned out of a focus plane of the coded aperture. A receiver () receives an image of a scene from the image sensor and a detector () detects at least two image objects of the image corresponding to ghost images of the object resulting from different openings of the coded aperture in response to an optical characteristic of the object. A distance estimator () then determines a distance to the object in response to a displacement in the image of the at least two image objects. The distance may be to a person and the image may be a bright pupil image wherein pupils are enhanced by reflection of light by the retina. The image may be compensated by a dark pupil image of the scene.

Object distance determination from image

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Eindhoven, Netherlands

Frederik Jan De Bruijn