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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2017 - 3

 HIGHLY CITED PAPER 

Mobile@Old: A Smart Home Platform for Enhancing the Elderly Mobility

MOCANU, I. See more information about MOCANU, I. on SCOPUS See more information about MOCANU, I. on IEEExplore See more information about MOCANU, I. on Web of Science, SCHPOR, O.-A. See more information about  SCHPOR, O.-A. on SCOPUS See more information about  SCHPOR, O.-A. on SCOPUS See more information about SCHPOR, O.-A. on Web of Science, CRAMARIUC, B. See more information about  CRAMARIUC, B. on SCOPUS See more information about  CRAMARIUC, B. on SCOPUS See more information about CRAMARIUC, B. on Web of Science, RUSU, L. See more information about RUSU, L. on SCOPUS See more information about RUSU, L. on SCOPUS See more information about RUSU, L. on Web of Science
 
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Download PDF pdficon (1,637 KB) | Citation | Downloads: 1,339 | Views: 3,580

Author keywords
smart homes, gesture recognition, health information management, knowledge engineering, affective computing

References keywords
elderly(13), health(9), physical(8), link(8), games(8), activity(7), game(6), exercise(6), system(5), older(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-11-30
Volume 17, Issue 4, Year 2017, On page(s): 19 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.04003
Web of Science Accession Number: 000417674300003
SCOPUS ID: 85035752682

Abstract
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Regular physical exercises are widely considered to be a key factor for living a healthy life. In this paper we present Mobile@Old, an integrated platform for assisting elderly people to maintain a healthy lifestyle in their homes. Our aim is to highlight the main concepts, technologies, and findings this system rests on. To this end we integrate Mobile@Old in the general conceptual framework of serious games. We provide details about the designing and implementation of Vital Signs Monitoring (VSM) and Physical Activity Trainer (PAT) components of Mobile@Old. Relevant exercises and utilization scenarios are also presented in order to emphases the practical applicability of our approach. We evaluate the usability of platform using the System Usability Scale (SUS). Experimental data regarding the accuracy of whole body movements are also presented


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 2,192 TCR
SCOPUS® Citations for all references: 3,082 TCR

Web of Science® Average Citations per reference: 49 ACR
SCOPUS® Average Citations per reference: 68 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-12-07 03:02 in 210 seconds.




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