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Recognizing and classifying a golf swing using accelerometer in a Smartwatch
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , 34 p.
Keyword [en]
pattern recognition, machine learning, 3-axis accelerometer, golf swing
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:bth-14685OAI: oai:DiVA.org:bth-14685DiVA: diva2:1114198
External cooperation
Wireless independent provider
Subject / course
Degree Project in Master of Science in Engineering 30.0
Educational program
PAACI Master of Science in Game and Software Engineering
Supervisors
Examiners
Available from: 2017-06-26 Created: 2017-06-22 Last updated: 2017-06-26Bibliographically approved

Open Access in DiVA

fulltext(1280 kB)16 downloads
File information
File name FULLTEXT01.pdfFile size 1280 kBChecksum SHA-512
73d2576ec2ba682e2a4d36bb6678e820f2743eee353506e0ddb80571b1e821883663a4ff92bb15059da5dfbf129a764631794636ac887ba67f2ec5877e3ab510
Type fulltextMimetype application/pdf

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Department of Software Engineering
Interaction Technologies

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Total: 16 downloads
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Total: 7 hits
CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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