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Accurate Fall Detection andIdentification:Surveillance-IntegratedSelf-Reporting System
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
2026 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This is a report investigating fall detection using inertial measurementunits. The report consists of a background and problem statement, thescope of the research, methodology, and theoretical framework. The pro-posed method consists of using a setup made up of a microcontroller andan IMU. We have determined a theoretical threshold, tested and adjustedit to verify the fall detection system’s accuracy, allowing us to uncover thepossibilities of threshold-based fall detection.

Place, publisher, year, edition, pages
2026. , p. 39
Keywords [en]
Datascience, Embedded, Processing, FallDetection
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-70940OAI: oai:DiVA.org:hj-70940DiVA, id: diva2:2043097
Subject / course
JTH, Computer Engineering
Supervisors
Examiners
Available from: 2026-03-13 Created: 2026-03-03 Last updated: 2026-03-13Bibliographically approved

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fulltext(2897 kB)123 downloads
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CiteExportLink to record
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Citation style
  • apa
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Language
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