Search results for "Microsoft Kinect"

showing 5 items of 5 documents

Real-Time Hand Pose Recognition Based on a Neural Network Using Microsoft Kinect

2013

The Microsoft Kinect sensor is largely used to detect and recognize body gestures and layout with enough reliability, accuracy and precision in a quite simple way. However, the pretty low resolution of the optical sensors does not allow the device to detect gestures of body parts, such as the fingers of a hand, with the same straightforwardness. Given the clear application of this technology to the field of the user interaction within immersive multimedia environments, there is the actual need to have a reliable and effective method to detect the pose of some body parts. In this paper we propose a method based on a neural network to detect in real time the hand pose, to recognize whether it…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtificial neural networkgesture recognitionbusiness.industryComputer scienceMicrosoft Kinect.gesture-based interactionVirtual realityObject detectionhuman-computer interactionFeature (computer vision)Gesture recognitionComputer visionArtificial intelligenceNoise (video)businessPoseGesture2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications
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Continuous hand openness detection using a Kinect-like device

2014

This paper presents a novel method to reproduce in real time the opening and closing gestures of a human hand, animating a three-dimensional model of it. In other works, this result can be achieved by mapping a set of significant points of a real hand on the corresponding points of the model to animate. We propose an alternative way to produce the same effect without mapping points, but using a level-based estimation of the degree of opening of the hand. The experiments have been executed using Microsoft KinectTM, but the method would work on any other Kinect-like devices (as defined herein). The results obtained are particularly encouraging and demonstrate real-time performance of the syst…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industrygesture recognitionmicrosoft kinectSet (abstract data type)3D animationGesture recognitionhuman-computer interactionComputer graphics (images)Openness to experienceComputer visionArtificial intelligencedepth dataClosing (morphology)businessComputer animationGesture
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Advanced 3D movement analysis algorithms for robust functional capacity assessment.

2017

SummaryObjectives: We developed a novel system for in home functional capacities assessment in frail older adults by analyzing the Timed Up and Go movements. This system aims to follow the older people evolution, potentially allowing a forward detection of motor decompensation in order to trigger the implementation of rehabilitation. However, the pre-experimentations conducted on the ground, in different environments, revealed some problems which were related to KinectTM operation. Hence, the aim of this actual study is to develop methods to resolve these problems.Methods: Using the KinectTM sensor, we analyze the Timed Up and Go test movements by measuring nine spatio-temporal parameters, …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]Computer science02 engineering and technologyTimed Up and Go testcomputer.software_genreCorrelation0302 clinical medicineHealth Information ManagementMICROSOFT KINECT0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][ SDV.IB ] Life Sciences [q-bio]/Bioengineeringsitting posture recognition[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]FALLSVideo processingPatient self-care home care and e-healthComputer Science Applications3D real-time video processing020201 artificial intelligence & image processing[SDV.IB]Life Sciences [q-bio]/BioengineeringAlgorithmsClinical testsCapacity assessmentGO TESTskin detectionFrail ElderlyMovementFrail Older AdultsPostureHealth InformaticsMachine learning03 medical and health sciencesRobustness (computer science)[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyclinical informaticsHumansVALIDITYOLDER-ADULTSSimulationAgedMonitoring Physiologicbusiness.industryMovement analysisMOTOR STRATEGIESArtificial intelligencebusinesscomputer030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyApplied clinical informatics
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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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Kinectin käyttö ympäristön- ja liikkeentunnistukseen

2012

Vilhunen, Eetu Kinectin käyttö ympäristön- ja liikkeentunnistukseen Jyväskylä: Jyväskylän yliopisto, 2012. Tietojärjestelmätiede, Kandidaatin -tutkielma Ohjaaja(t): Eskelinen , Matti Tämän tutkielman tarkoituksena on käsitellä Microsoftin kehittämää Kinect -sensoria ja sen hyödyntämistä ympäristön- ja liikkeentunnistukseen. Tutkimus pyrkii vastaamaan siihen, miten Kinectiä voidaan hyödyntää ympäristön- ja liikkeentunnistuksessa, sekä siihen mitä hyötyä tai haittaa Kinectin käytöstä voi olla. Aluksi käydään läpi hieman Kinectin historiaa sekä sen sisältämää teknologiaa. Tämän jälkeen käydään läpi tutkielman kannalta oleelliset konenäköön liittyvät termit. Tutkielman aikana käydään myös läpi …

ympäristöntunnistusliikkeentunnistuskonenäköMicrosoft Kinect
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