<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/ITNCWP</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-CAUCAFall: 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="Submitted">2025-09-18</date><date dateType="Updated">2026-09-01</date></dates><resourceType resourceTypeGeneral="Dataset"/><sizes><size>3824</size><size>10552833599</size></sizes><formats><format>text/plain</format><format>application/zip</format></formats><version>1.2</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><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>