<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.18710/SJG4E6</identifier><creators><creator><creatorName nameType="Personal">Muhammad Hamza Zafar</creatorName><givenName>Muhammad Hamza</givenName><familyName>Zafar</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-5025-2009</nameIdentifier><affiliation>University of Agder</affiliation></creator></creators><titles><title>E-Fall Vision: Event Based Human Fall Detection Dataset</title></titles><publisher>DataverseNO</publisher><publicationYear>2025</publicationYear><subjects><subject>Computer and Information Science</subject><subject>Engineering</subject><subject>Human Fall Detection</subject><subject>Neuromorphic/Event Vision</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Filippo Sanfilippo</contributorName><givenName>Filippo</givenName><familyName>Sanfilippo</familyName><affiliation>University of Agder</affiliation></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">University of Agder</contributorName></contributor><contributor contributorType="Distributor"><contributorName nameType="Organizational">University of Agder</contributorName></contributor></contributors><dates><date dateType="Issued">2025-12-31</date><date dateType="Submitted">2025-09-23</date><date dateType="Updated">2025-12-02</date></dates><resourceType resourceTypeGeneral="Dataset"/><sizes><size>3605</size><size>67448349183</size><size>92729021249</size><size>31535111521</size><size>56887971313</size><size>28016549897</size><size>81050702430</size><size>61832780133</size><size>66742831270</size><size>36927656950</size><size>67015238832</size><size>104957972642</size><size>24283678943</size><size>72954728323</size><size>49754346222</size><size>85669520607</size><size>78703221357</size><size>76625439727</size></sizes><formats><format>text/plain</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format><format>application/zip</format></formats><version>1.1</version><rightsList><rights rightsURI="info:eu-repo/semantics/restrictedAccess"/><rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</rights></rightsList><descriptions><description descriptionType="Abstract">This dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data.</description></descriptions><geoLocations/></resource>