Global Kalman filter approaches to estimate absolute angles of lower limb segments
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http://data.d4science.org/ctlg/RISIS2OpenData/dedup_wf_001--25872b81732f78ba1b144b865e2e7fb6 |
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Identity
Access Modality
Field | Value |
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Access Right | Open Access |
Attribution
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Author | Arlindo Neto Montagnoli, 0000-0002-4095-3602 |
Author | Juan C. Moreno, 0000-0001-9561-7764 |
Author | Adriano Siqueira, 0000-0003-0663-156X |
Author | Eduardo Rocon, 0000-0001-9618-2176 |
Contributor | Fundação de Amparo à Pesquisa do Estado de São Paulo |
Contributor | Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil) |
Contributor | Ministerio de Economía y Competitividad (España) |
Contributor | European Commission |
Contributor | Flemish Department of Economy, Science and Innovation (Belgium) |
Publishing
Field | Value |
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Collected From | Europe PubMed Central; PubMed Central; Digital.CSIC; ORCID; UnpayWall; Datacite; DOAJ-Articles; Crossref; Microsoft Academic Graph |
Hosted By | Europe PubMed Central; Digital.CSIC; BioMedical Engineering OnLine |
Journal | BioMedical Engineering OnLine, 16, |
Publication Date | 2017-05-16 |
Publisher | BioMed Central |
Additional Info
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Country | Spain |
Description | [Results] The results indicate that the global KFs performed significantly better than the local KF, with an average root mean square error (RMSE) of respectively 0.942° for the MJLS-based KF, 1.167° for the matrical global KF, and 1.202° for the local KFs. Including the data from the exoskeleton encoders also resulted in a significant increase in performance. |
Description | [Conclusion] The results indicate that the current practice of using KFs based on local models is suboptimal. Both the presented KF based on inertial sensor data, as well our previously presented global approach fusing inertial sensor data with data from exoskeleton encoders, were superior to local KFs. We therefore recommend to use global KFs for gait analysis and exoskeleton control. |
Description | This work was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), under Grant 2012/05552–9; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), under Grant 456089/2014–4; the HYPER project of the CONSOLIDER-INGENIO 2010 program of Spain, under Grant CSD2009–00067; the XoSoft project, Soft modular biomimetic exoskeleton to assist people with mobility impairments, contract H2020– ICT24–2016–688175; and by a grant from the Flemish agency for Innovation by Science and Technology (MIRAD, IWT–SBO 120057). |
Description | Peer reviewed |
Language | English |
Resource Type | Article; UNKNOWN |
system:type | publication |
Management Info
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Source | https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::25872b81732f78ba1b144b865e2e7fb6 |
Author | jsonws_user |
Last Updated | 26 December 2020, 18:32 (CET) |
Created | 26 December 2020, 18:32 (CET) |