Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Autonomous comprehensive geriatric assessment

Conference Paper
Publication Date:
2017
abstract:
This paper presents the MARIO's CGA (Comprehensive Geriatric Assessment) module for the Kompa? platform that aims at autonomously performing and managing the execution of specific tests required in the CGA process. The application relies on the CGA ontology, which is part of the Mario Ontology Network (MON), as a support to the execution of the assessment process and a reference model for storing test information.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
comprehensive geriatric assessment; CGA; assistive robotics; companion robots; semantic web; linked data
List of contributors:
REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Asprino, Luigi; Russo, Alessandro; Gangemi, Aldo; Presutti, Valentina; Nuzzolese, ANDREA GIOVANNI
Authors of the University:
GANGEMI ALDO
NUZZOLESE ANDREA GIOVANNI
RUSSO ALESSANDRO
Handle:
https://iris.cnr.it/handle/20.500.14243/356570
Published in:
CEUR WORKSHOP PROCEEDINGS
Series
  • Overview

Overview

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-85030783559&origin=inward
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)