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Machine Learning approach applied to Human Activity Recognition – An application to the VanKasteren dataset

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datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
dc.contributor.authorAriza-Colpas, Paola
dc.contributor.authorOñate-Bowen, Alvaro Agustín
dc.contributor.authorSuarez-Brieva, Eydy del Carmen
dc.contributor.authorOviedo-Carrascal, Ana
dc.contributor.authorUrina Triana, Miguel
dc.contributor.authorPiñeres-Melo, Marlon
dc.contributor.authorButt, Shariq Aziz,
dc.contributor.authorCollazos Morales, Carlos Andrés
dc.contributor.authorRamayo González, Ramón Enrique
dc.date.accessioned2021-10-01T21:49:43Z
dc.date.available2021-10-01T21:49:43Z
dc.date.issued2021
dc.description.abstractReminders are a core component of many assistive technology systems and are aimed specifically at helping people with dementia function more independently by compensating for cognitive deficits. These technologies are often utilized for prospective reminding, reminiscence, or within coaching-based systems. Traditionally, reminders have taken the form of nontechnology based aids, such as diaries, notebooks, cue cards and white boards. This article is based on the use of machine learning algorithms for the detection of Alzheimer’s disease. In the experimentation, the LWL, SimpleLogistic, Logistic, MultiLayerPercepton and HiperPipes algorithms were used. The result showed that the LWL algorithm produced the following results: Accuracy 98.81%, Precission 100%, Recall 97.62% and F- measure 98.80%eng
dc.format.mimetypepdfeng
dc.identifier.doihttps://doi.org/10.1016/j.procs.2021.07.070
dc.identifier.issn18770509
dc.identifier.urihttps://hdl.handle.net/20.500.12442/8605
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1877050921014733?via%3Dihub
dc.language.isoengeng
dc.publisherElsevierspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceProcedia Computer Scienceeng
dc.sourceVol. 191, (2021)
dc.subjectMachine learningeng
dc.subjectHAReng
dc.subjectADLeng
dc.subjectHuman Activity Recognitioneng
dc.subjectActivity Daily Livingeng
dc.subjectVanKasteren Dataseteng
dc.titleMachine Learning approach applied to Human Activity Recognition – An application to the VanKasteren dataseteng
dc.type.driverinfo:eu-repo/semantics/articleeng
dc.type.spaArtículo científicospa
dcterms.referencesSohn, T., Li, K. A., Lee, G., Smith, I., Scott, J., & Griswold, W. G. (2005, September). Place-its: A study of location-based reminders on mobile phones. In International Conference on Ubiquitous Computing (pp. 232–250). Springer, Berlin, Heidelberg.eng
dcterms.referencesSumi Helal, Carlos Giraldo, Youssef Kaddoura, Choonhwa Lee, Hicham El Zabadani, and William Mann. Smart phone based cognitive assistant. In UbiHealth 2003: The 2nd International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications, 2003.eng
dcterms.referencesPollock P.M., Harper U.L., Hansen K.S., Yudt L.M., Stark M., Robbins C.M., Salem G. High frequency of BRAF mutations in nevi Nature genetics, 33 (1) (2003), pp. 19-20eng
dcterms.referencesOliver Zangwill Centre Neuropsychological Rehabilitation Accessed December 2014. NeuroPage. Online, http://www.neuropage.nhs.uk/, 2014.eng
dcterms.referencesBarbara A Wilson, Jonathan J Evans, Hazel Emslie, Vlastimil Malinek Evaluation of neuropage: a new memory aid Journal of Neurology, Neurosurgery & Psychiatry, 63 (1) (1997), pp. 113-115eng
dcterms.referencesBarbara A Wilson, Helena Scott, Jonathan Evans, Hazel Emslie Preliminary report of a neuropage service within a health care system NeuroRehabilitation, 18 (1) (2003), pp. 3-8eng
dcterms.referencesWilson HC Emslie, K Quirk, JJ Evans Reducing everyday memory and planning problems by means of a paging system: a randomised control crossover study Journal of Neurology, Neurosurgery & Psychiatry, 70 (4) (2001), pp. 477-482eng
dcterms.referencesZhou J., Gennatas E.D., Kramer J.H., Miller B.L., Seeley W.W. Predicting regional neurodegeneration from the healthy brain functional connectome Neuron, 73 (6) (2012), pp. 1216-1227eng
dcterms.referencesSASMITA ati nneli annisto, arita annele oivunen, and aritta nneli lim ki. se of mobile phone text message reminders in health care services: A narrative literature review Journal of medical Internet research, 16 (10) (2014)eng
dcterms.referencesMarcia Vervloet, Liset van Dijk, Jacqueline Santen-Reestman, Bas van Vlijmen, Marcel L Bouvy, Dinny H de Bakker Improving medication adherence in diabetes type 2 patients through real time medication monitoring: a randomised controlled trial to evaluate the effect of monitoring patients’ medication use combined with short message service (sms) reminders B C health services research, 11 (1) (2011), p. 5eng
dcterms.referencesRebecca Guy, Jane Hocking, Handan Wand, Sam Stott, Hammad Ali, John Kaldor How effective are short message service reminders at increasing clinic attendance? a meta-analysis and systematic review Health services research, 47 (2) (2012), pp. 614-632eng
dcterms.referencesMcLean, S., Gee, M., Booth, A., Salway, S., Nancarrow, S., Cobb, M., & Bhanbhro, S. (2014). Targeting the Use of Reminders and Notifications for Uptake by Populations (TURNUP): a systematic review and evidence synthesis.eng
dcterms.referencesDe Jongh T., Gurol‐Urganci I., Vodopivec‐Jamsek V., Car J., Atun R. Mobile phone messaging for facilitating self‐ management of long‐term illnesses Cochrane Database of Systematic Reviews (2012) (12)eng
dcterms.referencesSonja O’Neill, Sarah ason, Guido Parente, Ark P Donnelly, Christopher D Nugent, Sally McClean, Bryan Scotney, David Craig Video reminders as cognitive prosthetics for people with dementia Ageing International, 36 (2) (2011), pp. 267-282eng
dcterms.referencesZhang, S.I. Clean, C.D. Nugent, S. O’neill, P. Donnelly, L. Galway, B.W. Scotney, I. Cleland “Predictive Model for Assistive Technology Adoption for People with Dementia” Journal of Biomedical and Health Informatics (99) (2013), p. 1,1eng
dcterms.referencesHartin P.J., Nugent C.D., McClean S.I., Cleland I., Norton M.C., Sanders C., Tschanz J.T. Identification of Ideal Contexts to Issue Reminders for Persons with Dementia, IWAAL (2014), pp. 369-376eng
dcterms.referencesCleland I., Nugent C.D., McClean S.I., Hartin P.J., Sanders C., Donnelly M., Tschanz J.T. Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project Ambient Assisted Living and Daily Activities, Springer International Publishing Soft Computing for Hybrid Intelligent Systems (2014), pp. 266-274 2008eng
dcterms.referencesSoft Computing for Hybrid Intelligent Systems Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz (Eds.), Studies in Computational Intelligence, 154, Springer (2008) ISBN 978-3-540-70811-7eng
dcterms.referencesAriza-Colpas, P., Oviedo-Carrascal, A. I., & De-la-hoz-Franco, E. (2019, July). Using K-Means Algorithm for Description Analysis of Text in RSS News Format. In International Conference on Data Mining and Big Data (pp. 162–169). Springer, Singapore.eng
dcterms.referencesAriza-Colpas, P., Morales-Ortega, R., Piñeres-Melo, M., De la Hoz-Franco, E., Echeverri-Ocampo, I., & Salas-Navarro, K. (2019, July). Parkinson Disease Analysis Using Supervised and Unsupervised Techniques. In International Conference on Swarm Intelligence (pp. 191–199). Springer, Chameng
dcterms.referencesCalabria-Sarmiento, J. C., Ariza-Colpas, P., Pineres-Melo, M., Ayala-Mantilla, C., Urina-Triana, M., Morales-Ortega, R., … & EcheverriOcampo, I. (2018). Software applications to health sector: a systematic review of literature.eng
dcterms.referencesPiñeres-Melo, M. A., Ariza-Colpas, P. P., Nieto-Bernal, W., & Morales-Ortega, R. (2019, July). SSwWS: Structural Model of Information Architecture. In International Conference on Swarm Intelligence (pp. 400–410). Springer, Cham.eng
dcterms.referencesHo T.K. The random subspace method for constructing decision forests IEEE Transactions on Pattern Analysis and Machine Intelligence, 20 (8) (1998), pp. 832-844 https://doi.org/10.1109/34.709601eng
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