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Institution

Philips

CompanyVantaa, Finland
About: Philips is a company organization based out in Vantaa, Finland. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 68260 authors who have published 99663 publications receiving 1882329 citations. The organization is also known as: Koninklijke Philips Electronics N.V. & Royal Philips Electronics.


Papers
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Journal ArticleDOI
Gerard De Haan1, Vincent Jeanne1
TL;DR: This work presents an analysis of the motion problem, from which far superior chrominance-based methods emerge, and shows remote photoplethysmography methods to perform in 92% good agreement with contact PPG, with RMSE and standard deviation both a factor of 2 better than BSS- based methods.
Abstract: Remote photoplethysmography (rPPG) enables contactless monitoring of the blood volume pulse using a regular camera. Recent research focused on improved motion robustness, but the proposed blind source separation techniques (BSS) in RGB color space show limited success. We present an analysis of the motion problem, from which far superior chrominance-based methods emerge. For a population of 117 stationary subjects, we show our methods to perform in 92% good agreement (±1.96σ) with contact PPG, with RMSE and standard deviation both a factor of 2 better than BSS-based methods. In a fitness setting using a simple spectral peak detector, the obtained pulse-rate for modest motion (bike) improves from 79% to 98% correct, and for vigorous motion (stepping) from less than 11% to more than 48% correct. We expect the greatly improved robustness to considerably widen the application scope of the technology.

844 citations

Journal ArticleDOI
TL;DR: A classification scheme for multimodal image matching is considered and may be used for any modality; not only for projection images and tomographic images, but also for other signal modalities that provide spatial insight into function or anatomy.
Abstract: A classification scheme for multimodal image matching is considered. The scope of the classification is restricted to methods that register data after acquisitions. The classification scheme may be used for any modality; not only for (2-D) projection images and (3-D) tomographic images, but also for other signal modalities that provide spatial insight into function or anatomy, e.g., EEG (electroencephalography) or MEG (magnetoencephalography) and for the real physical patient. The available literature on image matching is discussed and classified. >

844 citations

Journal ArticleDOI
TL;DR: It is demonstrated that all-polymer microdevices can be fabricated using inkjet printing technology in combination with self-organizing liquid-crystal network actuators, exploiting the self-assembling properties of the liquid crystal to create large strain gradients, and light-driven actuation is chosen to allow simple and remote addressing.
Abstract: Polymeric microactuators are potentially useful in micromechanical systems and lab-on-a-chip systems. However, manufacturing of miniature polymeric actuators has been complicated owing to the necessity of including electrodes for actuation or using lithographic techniques for patterning. Here, we demonstrate that all-polymer microdevices can be fabricated using inkjet printing technology in combination with self-organizing liquid-crystal network actuators. We exploit the self-assembling properties of the liquid crystal to create large strain gradients, and light-driven actuation is chosen to allow simple and remote addressing. By using multiple inks, microactuators with different subunits are created that can be selectively addressed by changing the wavelength of the light. The actuators mimic the motion of natural cilia. These artificial cilia have the potential to create flow and mixing in wet environments such as lab-on-a-chip applications. The process is easily adapted for roll-to-roll fabrication, allowing for large-scale and low-cost production of miniaturized active polymer systems.

837 citations

Patent
19 Sep 2001
TL;DR: In this article, the authors present an approach to smart lighting devices bearing processors, and networks comprising smart lighting device, capable of providing illumination, and detecting stimuli with sensors and/or sending signals.
Abstract: The present invention relates to smart lighting devices bearing processors, and networks comprising smart lighting devices, capable of providing illumination, and detecting stimuli with sensors and/or sending signals. Sensors and emitters can, in some embodiments, be removed and added in a modular fashion. Smart lighting devices and smart lighting networks can be used for communication purposes, building automation, systems monitoring, and a variety of other functions.

823 citations

Journal ArticleDOI
P.B.L. Meijer1
TL;DR: Computerized sampling of the system output and subsequent calculation of the approximate inverse (sound-to-image) mapping provided the first convincing experimental evidence for the preservation of visual information in sound representations of complicated images.
Abstract: An experimental system for the conversion of images into sound patterns was designed to provide auditory image representations within some of the known limitations of the human hearing systems possibly as a step towards the development of a vision substitution device for the blind. The application of an invertible (one-to-one) image-to-sound mapping ensures the preservation of visual information. The system implementation involves a pipelined special-purpose computer connected to a standard television camera. A novel design and the use of standard components have made for a low-cost portable prototype conversion system with a power dissipation suitable for battery operation. Computerized sampling of the system output and subsequent calculation of the approximate inverse (sound-to-image) mapping provided the first convincing experimental evidence for the preservation of visual information in sound representations of complicated images. >

822 citations


Authors

Showing all 68268 results

NameH-indexPapersCitations
Mark Raymond Adams1471187135038
Dario R. Alessi13635474753
Mohammad Khaja Nazeeruddin12964685630
Sanjay Kumar120205282620
Mark W. Dewhirst11679757525
Carl G. Figdor11656652145
Mathias Fink11690051759
David B. Solit11446952340
Giulio Tononi11451158519
Jie Wu112153756708
Claire M. Fraser10835276292
Michael F. Berger10754052426
Nikolaus Schultz106297120240
Rolf Müller10490550027
Warren J. Manning10260638781
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202239
2021898
20201,428
20191,665
20181,378