oru.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Multi-modal sensing for human activity recognition
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0002-9652-7864
Vise andre og tillknytning
2015 (engelsk)Inngår i: Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, Kobe, Japan, Aug 31 - Sept 4, 2015, New York: IEEE conference proceedings , 2015, s. 594-600Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Robots for the elderly are a particular category of home assistive robots, aiming at assisting the elderly inthe execution of daily life tasks to extend their independent life. To this aim, such robots should be able to determine the level of independence of the user and track its evolution over time, to adapt the assistance to the person capabilities and needs. Human Activity Recognition systems employ various sensing strategies, relying on environmental or wearable sensors,to recognize various daily life activities which provide insights on the health status of a person. The main contribution of the article is the design of an heterogeneous information management framework, allowing for the description of a wide variety of human activities in terms of multi-modal environmental and wearable sensing data and providing accurate knowledge about the user activity to any assistive robot.

sted, utgiver, år, opplag, sider
New York: IEEE conference proceedings , 2015. s. 594-600
Emneord [en]
Detecting and Understanding Human Activity, Assistive Robotics, Multi-modal Situation Awareness and Spatial Cognition
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-45483DOI: 10.1109/ROMAN.2015.7333653ISI: 000380393600100Scopus ID: 2-s2.0-84954052931ISBN: 978-1-4673-6704-2 (tryckt)OAI: oai:DiVA.org:oru-45483DiVA, id: diva2:844583
Konferanse
24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Kobe, Japan, August 31 - September 4, 2015
Tilgjengelig fra: 2015-08-06 Laget: 2015-08-06 Sist oppdatert: 2018-01-11bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopusPaper

Personposter BETA

Grosinger, JasminPecora, FedericoSaffiotti, AlessandroSathyakeerthy, Subhash

Søk i DiVA

Av forfatter/redaktør
Grosinger, JasminPecora, FedericoSaffiotti, AlessandroSathyakeerthy, Subhash
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 575 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf