0000000000174318

AUTHOR

Ernesto Damiani

0000-0002-9557-6496

showing 6 related works from this author

Multiple Structured Light-Based Depth Sensors for Human Motion Analysis: A Review

2012

Human motion analysis is an increasingly important active research domain with various applications in surveillance, human-machine interaction and human posture analysis. The recent developments in depth sensor technology, especially with the release of the Kinect device, have attracted significant attention to the question of how to take advantage of this technology in order to achieve accurate motion tracking and action detection in marker-less approaches. In this paper, we review the benefits and limitations deriving from the adoption of structured light-based depth sensors in human motion analysis applications. Surveying the relevant literature, we have identified in calibration, interf…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Computer sciencebusiness.industry[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHuman Motion Analysis020207 software engineering02 engineering and technologyInterference (wave propagation)Human motionDomain (software engineering)Match movingMultiple depth sensorsCalibration0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionBias correctionArtificial intelligenceInterferencebusinessComputingMilieux_MISCELLANEOUSStructured light[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]
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Privacy in Big Data

2016

International audience

[ INFO ] Computer Science [cs]Computer sciencebusiness.industryInternet privacyBig data02 engineering and technology[INFO] Computer Science [cs]World Wide Web020204 information systems0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]020201 artificial intelligence & image processingbusinessComputingMilieux_MISCELLANEOUS
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Real-time signal processing in embedded systems

2016

International audience

010302 applied physics[ INFO ] Computer Science [cs]business.industryComputer science020206 networking & telecommunications02 engineering and technologycomputer.software_genre01 natural sciencesSignalHardware and Architecture0103 physical sciences0202 electrical engineering electronic engineering information engineeringReal time signal processing[INFO]Computer Science [cs]businessAudio signal processingcomputerSoftwareDigital signal processingComputer hardwareComputingMilieux_MISCELLANEOUS
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Signal Processing for Image Enhancement and Multimedia Processing

2008

Signal processingMultimediaComputer scienceSpeech recognitionImage enhancementcomputer.software_genrecomputer
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Ketogenic diet in neuromuscular and neurodegenerative diseases.

2014

An increasing number of data demonstrate the utility of ketogenic diets in a variety of metabolic diseases as obesity, metabolic syndrome, and diabetes. In regard to neurological disorders, ketogenic diet is recognized as an effective treatment for pharmacoresistant epilepsy but emerging data suggests that ketogenic diet could be also useful in amyotrophic lateral sclerosis, Alzheimer, Parkinson’s disease, and some mitochondriopathies. Although these diseases have different pathogenesis and features, there are some common mechanisms that could explain the effects of ketogenic diets. These mechanisms are to provide an efficient source of energy for the treatment of certain types of neurodege…

Mitochondrial Diseasesmedicine.medical_treatmentlcsh:MedicineDiseaseReview ArticleBiologyBioinformaticsGeneral Biochemistry Genetics and Molecular BiologyAlzheimer DiseaseDiabetes mellitusmedicineHumansAmyotrophic lateral sclerosisKetogenic diet metabolic diseases preventionGeneral Immunology and Microbiology3-Hydroxybutyric AcidAmyotrophic Lateral Sclerosislcsh:RBrainParkinson DiseaseGeneral Medicinemedicine.diseaseGlycogen Storage DiseaseObesityGlucoseMitochondrial biogenesisBiochemistryAlzheimer's diseaseMetabolic syndromeDiet KetogenicKetogenic diet
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Temporal Denoising of Kinect Depth Data

2012

The release of the Microsoft Kinect has attracted the attention of researchers in a variety of computer science domains. Even though this device is still relatively new, its recent applications have shown some promising results in terms of replacing current conventional methods like the stereo-camera for robotics navigation, multi-camera system for motion detection and laser scanner for 3D reconstruction. While most work around the Kinect is on how to take full advantage of its capabilities, so far only a few studies have been carried out on the limitations of this device and fewer that provide solutions to enhance the precision of its measurements. In this paper, we review and analyse curr…

depth measurement[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingLaser scanning[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceNoise reductionDenoising algorithmComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingtemporal denoising0202 electrical engineering electronic engineering information engineeringComputer visionImage denoisingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry3D reconstruction020206 networking & telecommunicationsRoboticsMotion detectionKinect depth dataMicrosoft Kinect020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2012 Eighth International Conference on Signal Image Technology and Internet Based Systems
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