Search results for "Doppler frequency"

showing 4 items of 4 documents

Fall Detection Based on the Instantaneous Doppler Frequency : A Machine Learning Approach

2019

Modern societies are facing an ageing problem which comes with increased cost of healthcare. A major share of this ever-increasing cost is due to fall related injuries, which urges the development of fall detection systems. In this context, this paper paves the way for building of a radio-frequency-based fall detection system. This paper presents an activity simulator that generates the complex channel gain of indoor channels in the presence of one person performing three different activities, namely, slow fall, fast fall, and walking. We built a machine learning framework for activity recognition based on the complex channel gain. We assess the recognition accuracy of three different class…

Artificial neural networkComputer sciencebusiness.industryDecision tree020206 networking & telecommunicationsContext (language use)02 engineering and technologyMachine learningcomputer.software_genreVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Support vector machineActivity recognitionStatistical classificationDoppler frequency0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingFall detectionArtificial intelligencebusinesscomputerVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Modelling, Analysis, and Simulation of the Micro-Doppler Effect in Wideband Indoor Channels with Confirmation Through Pendulum Experiments

2020

This paper is about designing a 3D no n-stationary wideband indoor channel model for radio-frequency sensing. The proposed channel model allows for simulating the time-variant (TV) characteristics of the received signal of indoor channel in the presence of a moving object. The moving object is modelled by a point scatterer which travels along a trajectory. The trajectory is described by the object&rsquo

Computer scienceAcousticsdoppler frequency02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical Chemistry0203 mechanical engineeringInertial measurement unitspectrogramindoor channels0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185micro-doppler effectElectrical and Electronic EngineeringWidebandVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Instrumentationchannel state informationComputer Science::Information Theory3d no n-stationary channels020301 aerospace & aeronauticswi-fi 802.11nPendulum020206 networking & telecommunicationsAtomic and Molecular Physics and Opticsinertial measurement unitsChannel state informationcsiTrajectoryCommunication channelSensors
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A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency

2019

Modern societies are facing an ageing problem that is accompanied by increasing healthcare costs. A major share of this ever-increasing cost is due to fall-related injuries, which urges the development of fall detection systems. In this context, this paper paves the way for the development of radio-frequency-based fall detection systems, which do not require the user to wear any device and can detect falls without compromising the user's privacy. For the design of such systems, we present an activity simulator that generates the complex path gain of indoor channels in the presence of one person performing three different activities: slow fall, fast fall, and walking. We have developed a mac…

General Computer ScienceComputer scienceFeature vectorFeature extractionDecision tree02 engineering and technologyMachine learningcomputer.software_genreActivity recognitioncomplex path gainFall detection0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceactivity recognitionVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550instantaneous Doppler frequencyArtificial neural networkbusiness.industryfeature extractionGeneral Engineering020206 networking & telecommunicationsSupport vector machineStatistical classificationmachine learning020201 artificial intelligence & image processinglcsh:Electrical engineering. Electronics. Nuclear engineeringArtificial intelligencebusinesslcsh:TK1-9971computerClassifier (UML)IEEE Access
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Rotational Doppler Frequency Shift from Time‐Evolving High‐Order Pancharatnam–Berry Phase: A Metasurface Approach

2021

The Doppler frequency shift of sound or electromagnetic waves has been widely investigated in many different contexts and, nowadays, represents a formidable tool in medicine, engineering, astrophysics, and optics. Such effect is commonly described in the framework of the universal energy-momentum conservation law. In particular, the rotational Doppler effect has been recently demonstrated using light carrying orbital angular momentum. When a wave undergoes a cyclic adiabatic transformation of its Hamiltonian, it is known to acquire the so-called Pancharatnam–Berry (PB) phase. In this work, an experimental evidence of the direct connection between the high-order PB phase time evolution on th…

Physicsbusiness.industryPancharatnam–Berry phaseCondensed Matter PhysicsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsMetasurfacesOpticsGeometric phaseorbital angular momentumDoppler frequencyrotational Doppler frequency shiftHigh orderbusinessLaser & Photonics Reviews
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