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Design of cloud robotic services for senior citizens to improve independent living in multiple environments

Bonaccorsi, Manuele (author)
The BioRobotics Institute, Scuola Superiore Sant’Anna, Pontedera, Italy
Fiorini, L (author)
The BioRobotics Institute, Scuola Superiore Sant’Anna, Pontedera, Italy
Sathyakeerthy, Subhash, 1981- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
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Saffiotti, Alessandro, 1960- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Cavallo, Filippo (author)
The BioRobotics Institute, Scuola Superiore Sant’Anna, Pontedera, Italy
Dario, Paolo (author)
The BioRobotics Institute, Scuola Superiore Sant’Anna, Pontedera, Italy
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 (creator_code:org_t)
IOS Press, 2015
2015
English.
In: Intelligenza Artificiale. - : IOS Press. - 1724-8035. ; 9:1, s. 63-72
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Aging well
cloud robotics
intelligent systems
indoor localization
Computer Science
Datavetenskap

Publication and Content Type

ref (subject category)
art (subject category)

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