Integration of strain gauge sensor in biceps muscle movement detection using LabView.
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| Title: | Integration of strain gauge sensor in biceps muscle movement detection using LabView. |
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| Authors: | Kristyawati, Desy1 desy_kristyawati@staff.gunadarma.ac.id, Soerowirdjo, Busono1 busono@staff.gunadarma.ac.id, Christina, Erma Triawati1 ermach@staff.gunadarma.ac.id, Harahap, Robby Kurniawan1 robby_kurniawan@staff.gunadarma.ac.id |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Aug2025, Vol. 15 Issue 4, p3696-3706. 11p. |
| Subjects: | Strain sensors, Biceps brachii, LabVIEW (Computer software), Sports medicine, Machine learning, Data analysis, Muscle injuries, Human activity recognition |
| Abstract: | Muscle injuries caused by sports can have a serious impact on sportsmen, to avoid injuries during sports can be prevented by detecting the wrong movement using a strain gauge sensor attached to the muscle which in this study is devoted to the biceps muscle. The strain gauge will detect muscle movement, and the output generated at the strain gauge will be converted into the form of voltage and current which will be used to be processed using machine learning to get data patterns so that they can be grouped into data patterns of wrong movements and correct movements. The strain gauge movement pattern here is simulated using LabView by using a gauge resistance of 120 Ω, strain configuration quarter bridge 1, gauge factor 2.05, Vex is the excitation voltage given to the Wheatstone bridge is 5 V and the initial voltage -180.08 µV, the strain gauge output pattern is obtained in the form of Excel and with this data can be converted into voltage and current. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Integration of strain gauge sensor in biceps muscle movement detection using LabView. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kristyawati%2C+Desy%22">Kristyawati, Desy</searchLink><relatesTo>1</relatesTo><i> desy_kristyawati@staff.gunadarma.ac.id</i><br /><searchLink fieldCode="AR" term="%22Soerowirdjo%2C+Busono%22">Soerowirdjo, Busono</searchLink><relatesTo>1</relatesTo><i> busono@staff.gunadarma.ac.id</i><br /><searchLink fieldCode="AR" term="%22Christina%2C+Erma+Triawati%22">Christina, Erma Triawati</searchLink><relatesTo>1</relatesTo><i> ermach@staff.gunadarma.ac.id</i><br /><searchLink fieldCode="AR" term="%22Harahap%2C+Robby+Kurniawan%22">Harahap, Robby Kurniawan</searchLink><relatesTo>1</relatesTo><i> robby_kurniawan@staff.gunadarma.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Aug2025, Vol. 15 Issue 4, p3696-3706. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Strain+sensors%22">Strain sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Biceps+brachii%22">Biceps brachii</searchLink><br /><searchLink fieldCode="DE" term="%22LabVIEW+%28Computer+software%29%22">LabVIEW (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Sports+medicine%22">Sports medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Muscle+injuries%22">Muscle injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Human+activity+recognition%22">Human activity recognition</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Muscle injuries caused by sports can have a serious impact on sportsmen, to avoid injuries during sports can be prevented by detecting the wrong movement using a strain gauge sensor attached to the muscle which in this study is devoted to the biceps muscle. The strain gauge will detect muscle movement, and the output generated at the strain gauge will be converted into the form of voltage and current which will be used to be processed using machine learning to get data patterns so that they can be grouped into data patterns of wrong movements and correct movements. The strain gauge movement pattern here is simulated using LabView by using a gauge resistance of 120 Ω, strain configuration quarter bridge 1, gauge factor 2.05, Vex is the excitation voltage given to the Wheatstone bridge is 5 V and the initial voltage -180.08 µV, the strain gauge output pattern is obtained in the form of Excel and with this data can be converted into voltage and current. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v15i4.pp3696-3706 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 3696 Subjects: – SubjectFull: Strain sensors Type: general – SubjectFull: Biceps brachii Type: general – SubjectFull: LabVIEW (Computer software) Type: general – SubjectFull: Sports medicine Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Muscle injuries Type: general – SubjectFull: Human activity recognition Type: general Titles: – TitleFull: Integration of strain gauge sensor in biceps muscle movement detection using LabView. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kristyawati, Desy – PersonEntity: Name: NameFull: Soerowirdjo, Busono – PersonEntity: Name: NameFull: Christina, Erma Triawati – PersonEntity: Name: NameFull: Harahap, Robby Kurniawan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 15 – Type: issue Value: 4 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
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