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Open access Jurnal SINTA 3

ESTIMATION OF THIRD FINGER MOTION USING ENSEMBLE KALMAN FILTER

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 16 No. 3 (2022) · pp. 1079–1086

DOI
10.30598/barekengvol16iss3pp1079-1086
ISSN
2615-3017, 1978-7227
Published
2022-09-01
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Post-stroke is a stage a patient undergoes if the patient has had a previous stroke. Stroke is a big and serious problem. As the second most common cause of disability of people at age of over 60 years. For patients having experienced a stroke, rehabilitation is a way to make them able to do activities of daily living as before. Stroke Rehabilitation is a comprehensive medical management and rehabilitation (in medical, emotional, social, and vocational aspects) concerning disabilities caused by stroke through a neuro-rehabilitation approach with the aim of optimizing recovery. The finger prosthetic arm robot is one of the results of the health technology development to help accelerate the rehabilitation process specifically for finger movements. One of the efforts to develop a finger robot is to estimate the movement of the fingers, in this case the finger size used is taken from those of Javanese people in Indonesia as the data to be simulated. In this paper is an estimation of the finger motion,particularly that of the third finger of the right hand, conducted using the Ensemble Kalman Filter (EnKF) method. The simulation results produced the third finger motion estimates with an accuracy of around 92% - 99%.

Collaboration network of the authors

38 authors · 105 co-authorship links · 12 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Institut Teknologi Sepuluh Nopember
  • Universitas Nahdlatul Ulama Surabaya
  • Darul Ulum Islamic University
  • Universitas Muhammadiyah Malang
  • Universitas Airlangga
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Andy SuryowinotoAffiliation unknown11
Fajar Annas SusantoAffiliation unknown5
Dieky AdzkiyaInstitut Teknologi Sepuluh Nopember4
Katherin IndriawatiInstitut Teknologi Sepuluh Nopember4
Reza Maliki AkbarAffiliation unknown4
Firman YudiantoAffiliation unknown3
Dian AdriantoAffiliation unknown3
Zeth Arthur LeleuryAffiliation unknown2
Vaizal Asy'ariAffiliation unknown2
Hamzah ArofAffiliation unknown2
Erna AprilianiInstitut Teknologi Sepuluh Nopember2
Mayga KikiInstitut Teknologi Sepuluh Nopember2
Thomy Eko SaputroUniversitas Muhammadiyah Malang2
Moch ZakariaAffiliation unknown2
Muhammad Sawal BaitalAffiliation unknown2
Angga Adhitya WidjanarkoAffiliation unknown2
Yuliyanto Agung PrabowoAffiliation unknown2
Elvinus R. PersulessyAffiliation unknown1
Glevi E. MadoAffiliation unknown1
Dorteus L. RahakbauwAffiliation unknown1
Y. SambonoAffiliation unknown1
Yopi Andry LesnussaAffiliation unknown1
Subchan SubchanAffiliation unknown1
Mozart Winston TalakuaAffiliation unknown1
Venn Yan Ishak IlwaruAffiliation unknown1
Nyoman JuniartaInstitut Teknologi Sepuluh Nopember1
Aji Akbar FirdausUniversitas Airlangga1
Ragil Puji RahayuAffiliation unknown1
Dina NovitaAffiliation unknown1
Arasy AlimudinAffiliation unknown1
Akas Yekti Pulih AsihAffiliation unknown1
Puguh TriwinantoAffiliation unknown1
Rachman Sinatriya MarjiantoAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">ESTIMATION OF THIRD FINGER MOTION USING ENSEMBLE KALMAN FILTER</dc:title>
	<dc:creator>Herlambang, Teguh</dc:creator>
	<dc:creator>Nurhadi, Hendro</dc:creator>
	<dc:creator>Muhith, Abdul</dc:creator>
	<dc:creator>Rahmalia, Dinita</dc:creator>
	<dc:creator>Tomasouw, Berny Pebo</dc:creator>
	<dc:description xml:lang="en-US">Post-stroke is a stage&amp;nbsp; a patient undergoes if the patient has had a previous stroke. Stroke is a big and serious problem. As the second most common cause of disability of people at age of over 60 years. For patients having experienced a stroke, rehabilitation is a way to make them able to do activities of daily living as before. Stroke Rehabilitation is a comprehensive medical management and rehabilitation (in medical, emotional, social, and vocational aspects) concerning disabilities caused by stroke through a neuro-rehabilitation approach with the aim of optimizing recovery. The finger prosthetic arm robot is one of the results of the health technology development to help accelerate the rehabilitation process specifically for finger movements. One of the efforts to develop a finger robot is to estimate the movement of the fingers, in this case the finger size used is taken from those of Javanese people in Indonesia as the data to be simulated. In this paper is an estimation of the finger motion,particularly that of the third finger of the right hand, conducted using the Ensemble Kalman Filter (EnKF) method. The simulation results produced the third finger motion estimates with an accuracy of around 92% - 99%.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2022-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6353</dc:identifier>
	<dc:identifier>10.30598/barekengvol16iss3pp1079-1086</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications; 1079-1086</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol16iss3year2022</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6353/4631</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Teguh Herlambang, Hendro Nurhadi, Abdul Muhith, Dinita Rahmalia, Berny Pebo Tomasouw</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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