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Design of cloud robotic services for senior citizens to improve independent living in multiple environments
The BioRobotics Institute, Scuola Superiore Sant’Anna, Viale R. Piaggio, Pontedera, Italy.
The BioRobotics Institute, Scuola Superiore Sant’Anna, Viale R. Piaggio, Pontedera, Italy.
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0001-8229-1363
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2015 (Engelska)Ingår i: Intelligenza Artificiale, ISSN 1724-8035, Vol. 9, nr 1, 63-72 s.Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The paper proposed a cloud robotic solution for the healthcare management of senior citizens, to demonstrate the opportunity to remotely provide continuous assistive robotic services to a number of seniors regardless to their position in the monitored environment. In particular, a medication reminding, a remote home monitoring and an user indoor localization service were outsourced in the cloud and provided to the robots, users and caregivers on request. The proposed system was composed of a number of robotic agents distributed over two smart environments: a flat at the Domocasa Lab (Peccioli, IT) and a condominium at the Angen site of the Orebro science park (Orebro, SE). The cloud acquired data from remote smart environments and enabled the local robots to provide advanced assistive services to a number of users. The proposed smart environments were able to collect raw data for the environmental monitoring and the localization of the users by means of wireless sensors, and provide such data to the cloud. On the cloud, specific algorithms improved the local robots, by providing event scheduling to accomplish assistive services and situation awareness on the users position and environments’ status. The indoor user localization service, was provided by means of commercial and ad-hoc sensors distributed over the environments and a sensor fusion algorithm on the cloud. The entire cloud solution was evaluated in terms of Quality of Service (QoS) to estimate the effectiveness of the architecture.

Ort, förlag, år, upplaga, sidor
IOS Press, 2015. Vol. 9, nr 1, 63-72 s.
Nyckelord [en]
Aging well, cloud robotics, intelligent systems, indoor localization
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-48011DOI: 10.3233/IA-150077ISI: 000358145300006Scopus ID: 2-s2.0-84959916167OAI: oai:DiVA.org:oru-48011DiVA: diva2:901041
Forskningsfinansiär
EU, FP7, Sjunde ramprogrammet, 288899
Tillgänglig från: 2016-02-05 Skapad: 2016-02-05 Senast uppdaterad: 2017-10-03Bibliografiskt granskad

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Sathyakeerthy, SubhashSaffiotti, Alessandro
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Institutionen för naturvetenskap och teknik
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