Repository logo
 
Publication

A neural network based fall detector

dc.contributor.authorRodrigues, Pedro João
dc.contributor.authorAmaral, Joana S.
dc.contributor.authorIgrejas, Getúlio
dc.date.accessioned2011-05-31T11:23:12Z
dc.date.available2011-05-31T11:23:12Z
dc.date.issued2010
dc.description.abstractIn this project we present an intelligent fall detector system based on a 3-axis accelerometer and a neural network model that allows recognizing several possible motion situations and performing an emergency call only when a fall situation occurs, with low false negatives rate and low false positives rate. The system is based on a two module platform. The first one is a Mobile Station (MS) and should be carried always by the person. An accelerometer is implemented in this module and its information is transferred via a radio-frequency channel (RF) to the Base Station (BS). The BS is fixed and is connected to a GSM (Global System for Mobile communication) module. A neural network model was built into the BS and is able to identify falls from other possible motion situations, based on the received information. According to the neural network response the system sends a SMS (Short Message Service) to a destination number requesting for assistance.por
dc.identifier.citationRodrigues, Pedro; Amaral, J.S.; Igrejas, Getúlio (2010). A neural network based fall detector. In RECPAD. Vila Real.
dc.identifier.urihttp://hdl.handle.net/10198/4762
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectNeural networkpor
dc.subjectFall detectorpor
dc.titleA neural network based fall detectorpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVila Realpor
oaire.citation.titleRECPAD 2010por
person.familyNameRodrigues
person.familyNameAmaral
person.familyNameIgrejas
person.givenNamePedro João
person.givenNameJoana S.
person.givenNameGetúlio
person.identifier.ciencia-id1316-21BB-9015
person.identifier.ciencia-id5319-7DE8-BEDA
person.identifier.orcid0000-0002-0555-2029
person.identifier.orcid0000-0002-3648-7303
person.identifier.orcid0000-0002-6820-8858
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication6c5911a6-b62b-4876-9def-60096b52383a
relation.isAuthorOfPublication42be2cf4-adc4-4e7f-ac60-7aab515b38cd
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication.latestForDiscovery42be2cf4-adc4-4e7f-ac60-7aab515b38cd

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Poster Recpad I.pdf
Size:
406.32 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: