{"data":{"id":"10.4121/e1d6a078-9022-4f48-9aa6-e22389980fee","type":"dois","attributes":{"doi":"10.4121/e1d6a078-9022-4f48-9aa6-e22389980fee","prefix":"10.4121","suffix":"e1d6a078-9022-4f48-9aa6-e22389980fee","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Guendel, Ronny G.","nameType":"Personal","givenName":"Ronny G.","familyName":"Guendel","nameIdentifiers":[{"nameIdentifier":"0000-0002-7824-4318","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Yarovoy, Alexander","givenName":"Alexander","familyName":"Yarovoy","affiliation":[],"nameIdentifiers":[]},{"name":"Fioranelli, Francesco","nameType":"Personal","givenName":"Francesco","familyName":"Fioranelli","affiliation":[],"nameIdentifiers":[{"nameIdentifier":"0000-0001-8254-8093","nameIdentifierScheme":"https://orcid.org/"}]}],"titles":[{"title":"Dataset: Continuous Human Activities Utilizing Three Pulsed Radars Exploiting Multipath"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2024,"subjects":[{"subject":"Artificial Intelligence and Image Processing","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0801"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Electrical and Electronic Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0906"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Data Format","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0804"},{"subject":"Other Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0999"},{"subject":"FOS: Other engineering and technologies","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Applied Mathematics","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0102"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Mathematical Physics","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0105"},{"subject":"Health and Support Services","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9202"},{"subject":"Other Health","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9299"},{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"Health","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"92"},{"subject":"Mathematical Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"01"},{"subject":"Technology","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"10"},{"subject":"Information and Computing Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"08"},{"subject":"Radar signal processing"},{"subject":"radar multipath"},{"subject":"human activity recognition"},{"subject":"distributed radar"},{"subject":"hierarchical clustering"},{"subject":"Machine learning"}],"contributors":[{"name":"TU Delft, Faculty Electrical Engineering, Mathematics And Computer Science, Department Of Microelectronics","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2024-02-01","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":["Matlab data files \u0026lt;.mat\u0026gt; in compressed files and data read file as Matlab script \u0026lt;.m\u0026gt;"],"version":"2","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"The dataset consists of recordings showcasing multipath reflection for two out of three radars within a radar network. It utilizes the PulsON P410 - Time Domain radar by Humatics, operating as an Ultra Wideband radar. The dataset consists of 45 folders, organized for 14 participants, covering range-time data, micro-Doppler spectrogram data, and range-Doppler data. It includes 12 classes like \u003cem\u003e'Junk/BRN,' 'Walking,' 'Stationary,' 'Sitting down,' 'Standing up (Sit),' 'Bending (Sit),' 'Bending (Sta),' 'Falling (Wlk),' 'Standing up (Fal),' 'Falling (Sta),' 'Micro Gesture,' \u003c/em\u003eand \u003cem\u003e'Walking (Obj),' \u003c/em\u003eeach characterizing specific movements or actions during three repetitions of 60 seconds of data recording. Further details can be found in the accompanying readme file.\u003cbr\u003eDataset parameters:\u003cstrong\u003eContinuous \u003c/strong\u003erecorded \u003cstrong\u003edata \u003c/strong\u003eusing a radar network of 60 sec\u003cstrong\u003e2 radars \u003c/strong\u003eout of 3 radars provide \u003cstrong\u003emultipath \u003c/strong\u003ereflections\u003cstrong\u003eReady \u003c/strong\u003eto use radar \u003cstrong\u003edata \u003c/strong\u003eof:\u003cstrong\u003erange-time \u003c/strong\u003edata\u003cstrong\u003emicro-Doppler spectrogram\u003c/strong\u003e data\u003cstrong\u003erange-Doppler\u003c/strong\u003e data\u003cstrong\u003e14 participants\u003c/strong\u003e (7 male, 7 female)\u003cstrong\u003e12 classes\u003c/strong\u003e of translation and in-place activities\u003cstrong\u003eBackground noise\u003c/strong\u003e recording included\u003cstrong\u003eZenodo source\u003c/strong\u003e and\u003cstrong\u003e \u003c/strong\u003e\u003cstrong\u003eGitHub\u003c/strong\u003e to read the files (code also included here)\u003cbr\u003eRadar parameters:Center frequency: 4.3 GHzBandwidth: 2.2GHzOperation mode: MonostaticPulse integration Index: 10 (1024 coherent integrations)PRI/PRF: 8.2ms / 122HzAntennae: Omnidirectional broadband antennas","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
<resource xmlns="http://datacite.org/schema/kernel-4" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.4/metadata.xsd">
  <identifier identifierType="DOI">10.4121/E1D6A078-9022-4F48-9AA6-E22389980FEE</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Ronny G. Guendel</creatorName>
      <givenName>Ronny G.</givenName>
      <familyName>Guendel</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0002-7824-4318</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Alexander Yarovoy</creatorName>
      <givenName>Alexander</givenName>
      <familyName>Yarovoy</familyName>
    </creator>
    <creator>
      <creatorName nameType="Personal">Francesco Fioranelli</creatorName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0001-8254-8093</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Dataset: Continuous Human Activities Utilizing Three Pulsed Radars Exploiting Multipath</title>
  </titles>
  <publisher>4TU.ResearchData</publisher>
  <publicationYear>2024</publicationYear>
  <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
  <subjects>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0801">Artificial Intelligence and Image Processing</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0906">Electrical and Electronic Engineering</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0804">Data Format</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0999">Other Engineering</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0102">Applied Mathematics</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0105">Mathematical Physics</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9202">Health and Support Services</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9299">Other Health</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="09">Engineering</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="92">Health</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="01">Mathematical Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="10">Technology</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="08">Information and Computing Sciences</subject>
    <subject>Radar signal processing</subject>
    <subject>radar multipath</subject>
    <subject>human activity recognition</subject>
    <subject>distributed radar</subject>
    <subject>hierarchical clustering</subject>
    <subject>Machine learning</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Other">
      <contributorName nameType="Organizational">TU Delft, Faculty Electrical Engineering, Mathematics and Computer Science, Department of Microelectronics</contributorName>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2024-02-01</date>
  </dates>
  <language>en</language>
  <formats>
    <format>Matlab data files &lt;.mat&gt; in compressed files &lt;zip&gt; and data read file as Matlab script &lt;.m&gt;</format>
  </formats>
  <version>2</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The dataset consists of recordings showcasing multipath reflection for two out of three radars within a radar network. It utilizes the PulsON P410 - Time Domain radar by Humatics, operating as an Ultra Wideband radar. The dataset consists of 45 folders, organized for 14 participants, covering range-time data, micro-Doppler spectrogram data, and range-Doppler data. It includes 12 classes like &lt;em&gt;'Junk/BRN,' 'Walking,' 'Stationary,' 'Sitting down,' 'Standing up (Sit),' 'Bending (Sit),' 'Bending (Sta),' 'Falling (Wlk),' 'Standing up (Fal),' 'Falling (Sta),' 'Micro Gesture,' &lt;/em&gt;and &lt;em&gt;'Walking (Obj),' &lt;/em&gt;each characterizing specific movements or actions during three repetitions of 60 seconds of data recording. Further details can be found in the accompanying readme file.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Dataset parameters:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;strong&gt;Continuous &lt;/strong&gt;recorded &lt;strong&gt;data &lt;/strong&gt;using a radar network of 60 sec&lt;/li&gt;&lt;li&gt;&lt;strong&gt;2 radars &lt;/strong&gt;out of 3 radars provide &lt;strong&gt;multipath &lt;/strong&gt;reflections&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Ready &lt;/strong&gt;to use radar &lt;strong&gt;data &lt;/strong&gt;of:&lt;/li&gt;&lt;li class="ql-indent-1"&gt;&lt;strong&gt;range-time &lt;/strong&gt;data&lt;/li&gt;&lt;li class="ql-indent-1"&gt;&lt;strong&gt;micro-Doppler spectrogram&lt;/strong&gt; data&lt;/li&gt;&lt;li class="ql-indent-1"&gt;&lt;strong&gt;range-Doppler&lt;/strong&gt; data&lt;/li&gt;&lt;li&gt;&lt;strong&gt;14 participants&lt;/strong&gt; (7 male, 7 female)&lt;/li&gt;&lt;li&gt;&lt;strong&gt;12 classes&lt;/strong&gt; of translation and in-place activities&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Background noise&lt;/strong&gt; recording included&lt;/li&gt;&lt;li&gt;&lt;a href="https://zenodo.org/doi/10.5281/zenodo.10594434" target="_blank"&gt;&lt;strong&gt;&lt;u&gt;Zenodo source&lt;/u&gt;&lt;/strong&gt;&lt;/a&gt; and&lt;strong&gt; &lt;/strong&gt;&lt;a href="https://github.com/rgundel/public_multipath_data_read" target="_blank"&gt;&lt;strong&gt;&lt;u&gt;GitHub&lt;/u&gt;&lt;/strong&gt;&lt;/a&gt; to read the files (code also included here)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Radar parameters:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Center frequency: 4.3 GHz&lt;/li&gt;&lt;li&gt;Bandwidth: 2.2GHz&lt;/li&gt;&lt;li&gt;Operation mode: Monostatic&lt;/li&gt;&lt;li&gt;Pulse integration Index: 10 (1024 coherent integrations)&lt;/li&gt;&lt;li&gt;PRI/PRF: 8.2ms / 122Hz&lt;/li&gt;&lt;li&gt;Antennae: Omnidirectional broadband antennas&lt;/li&gt;&lt;/ul&gt;</description>
  </descriptions>
</resource>","url":"https://data.4tu.nl/datasets/e1d6a078-9022-4f48-9aa6-e22389980fee","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2024-02-01T07:18:51.000Z","registered":"2024-02-01T07:18:52.000Z","published":"2024","updated":"2024-02-01T11:53:24.000Z"},"relationships":{"client":{"data":{"id":"delft.data4tu","type":"clients"}},"provider":{"data":{"id":"scpr","type":"providers"}},"media":{"data":{"id":"10.4121/e1d6a078-9022-4f48-9aa6-e22389980fee","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}