Fall detection and recognition from egocentric visual data: A case study

DOI

This data set contains egocentric videos from two cameras attached to the waist and chest of one volunteer. The contents of the videos contain indoor and outdoor scenes and do not contain people. The data set was to for evaluation of a novel fall detection system using ego centric visual data.

Identifier
DOI https://doi.org/10.34894/3DV8BF
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/3DV8BF
Provenance
Creator Wang, Xueyi (ORCID: 0000−0002−2094−5074); Talavera, Estefania (ORCID: 0000−0001−5918−899); Karastoyanova, Dimka (ORCID: 0000−0002−8827−2590); Azzopardi, George (ORCID: 0000−0001−6552−2596)
Publisher DataverseNL
Contributor Wang, Xueyi; Research Data Office; University of Groningen
Publication Year 2020
Rights CC0 Waiver; info:eu-repo/semantics/openAccess; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact Wang, Xueyi (University of Groningen); Research Data Office (University of Groningen)
Representation
Resource Type Egocentric visual data; Dataset
Format application/octet-stream; application/zip
Size 9663676416; 5117565258
Version 3.0
Discipline Other