Title | ||
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Estimation of physical activity monitored during the day-to-day life by an autonomous wearable device (SVELTE project). |
Abstract | ||
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Physical activity (PA) and the energy expenditure it generates (PAEE) are increasingly shown to have impacts on everybody's health (e.g. development of chronic diseases) and to be key factors in maintaining the physical autonomy of elderlies. The SVELTE project objective was to develop an autonomous actimeter, easily wearable and with several days of autonomy, which could record a subject's physical activity during his/her daily life and estimate the associated energy expenditure. A few prototypes and dedicated algorithms were developed based on laboratory experiments. The identification of physical activity patterns algorithm shows good performances (79% of correct identification), based on a trial in semi-free-living conditions. The assessment of the PAEE computation algorithm is under validation based on a clinical trial. |
Year | DOI | Venue |
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2013 | 10.1109/EMBC.2013.6610579 | EMBC |
Keywords | Field | DocType |
biomechanics,physical activity monitoring,clinical trial,day-to-day life,wearable autonomous actimeter,autonomous wearable device,physical activity energy expenditure,semifree-living condition,geriatrics,patient monitoring,svelte project,prototypes,paee computation algorithm assessment,biomedical equipment,body sensor networks,physical activity pattern identification,laboratory experiment,physical activity estimation,physical activity pattern algorithm,prototype,medical computing,energy expenditure estimation,elderly physical autonomy,chronic disease development,patient diagnosis,databases,object recognition | Computer vision,Simulation,Remote patient monitoring,Computer science,Wearable computer,Biomedical equipment,Energy expenditure,Real-time computing,Artificial intelligence | Conference |
Volume | ISSN | Citations |
2013 | 1557-170X | 1 |
PageRank | References | Authors |
0.37 | 1 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maeva Doron | 1 | 1 | 1.72 |
Thomas Bastian | 2 | 1 | 0.37 |
Aurélia Maire | 3 | 1 | 0.37 |
Julien Dugas | 4 | 1 | 0.37 |
Emilie Perrin | 5 | 1 | 0.37 |
Florence Gris | 6 | 1 | 0.37 |
R. Guillemaud | 7 | 50 | 15.72 |
Thibault Deschamps | 8 | 1 | 0.37 |
Pascal Bianchi | 9 | 1 | 0.37 |
Yanis Caritu | 10 | 2 | 0.72 |
Chantal Simon | 11 | 1 | 0.37 |
Pierre Jallon | 12 | 72 | 9.65 |