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Gait identification by using spectrum analysis on state space reconstruction
dc.contributor.author | Ruiz Vegas, Francisco Javier |
dc.contributor.author | Samà Monsonís, Albert |
dc.contributor.author | Pérez López, Carlos |
dc.contributor.author | Català Mallofré, Andreu |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2012-01-27T13:16:04Z |
dc.date.available | 2012-01-27T13:16:04Z |
dc.date.created | 2011 |
dc.date.issued | 2011 |
dc.identifier.citation | Ruiz, F. [et al.]. Gait identification by using spectrum analysis on state space reconstruction. A: International Work-Conference on Artificial Neural Networks. "Advances in Computational Intelligence : Advances in Computational Intelligence Advances in Computational Intelligence 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II". Torremolinos, Málaga: Springer, 2011, p. 597-604. |
dc.identifier.isbn | 978-3-642-21497-4 |
dc.identifier.uri | http://hdl.handle.net/2117/14852 |
dc.description.abstract | This paper describes a method for identifying a person while walking by means of a triaxial accelerometer attached to the waist. Human gait is considered as a dynamical system whose attractor is reconstructed by time delay vectors. A Spectral Analysis on the state space reconstruction is used to characterize the attractor. Parameters involved in the reconstruction and characterization process are evaluated to examine the effect in gait identification. The method is tested in five volunteers, obtaining an overall accuracy of 92%. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica::Biomecànica |
dc.subject.lcsh | Gait in humans |
dc.subject.lcsh | Spectrum Analysis--methods |
dc.subject.lcsh | Human mechanics |
dc.subject.lcsh | Older people--Orientation and mobility |
dc.subject.lcsh | People with disabilities--Orientation and mobility |
dc.title | Gait identification by using spectrum analysis on state space reconstruction |
dc.type | Conference report |
dc.subject.lemac | Locomoció humana -- Simulació per ordinador |
dc.subject.lemac | Biomecànica -- Investigació -- Metodologia |
dc.subject.lemac | Mecànica humana -- Mesurament |
dc.subject.lemac | Anàlisi espectral |
dc.subject.lemac | Control automàtic |
dc.contributor.group | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
dc.identifier.doi | 10.1007/978-3-642-21498-1_75 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 9485229 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Ruiz, F.; Sama, A.; Pérez, C.; Català, A. |
local.citation.contributor | International Work-Conference on Artificial Neural Networks |
local.citation.pubplace | Torremolinos, Málaga |
local.citation.publicationName | Advances in Computational Intelligence : Advances in Computational Intelligence Advances in Computational Intelligence 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II |
local.citation.startingPage | 597 |
local.citation.endingPage | 604 |