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HMMs and LSTMs for On-line Gesture Recognition on the Stylaero Board: Evaluating and Comparing Two Methods
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Kontinuerlig Gestdetektering meddels LSTMer och HMMer (Swedish)
Abstract [en]

In this thesis, methods of implementing an online gesture recognition system for the novel Stylaero Board device are investigated. Two methods are evaluated - one based on LSTMs and one based on HMMs - on three kinds of gestures: Tap, circle, and flick motions. A method’s performance was measured in its accuracy in determining both whether any of the above listed gestures were performed and, if so, which gesture, in an online single-pass scenario. Insight was acquired regarding the technical challenges and possible solutions to the online aspect of the problem. Poor performance was, however, observed in both methods, with a likely culprit identified as low quality of training data, due to an arduous and complex gesture performance capturing process. Further research improving on the process of gathering data is suggested.

Place, publisher, year, edition, pages
2019. , p. 36
Keywords [en]
HMM, LSTM, AI, GR, ML, ANN, Hidden Markov Model, Long Short Term Memory, Gesture Recognition, Machine Learning, Artificial Neural Network
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-162237ISRN: LIU-IDA/LITH-EX-A--2019/091--SEOAI: oai:DiVA.org:liu-162237DiVA, id: diva2:1372867
External cooperation
Stylaero
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2019-11-26 Created: 2019-11-25 Last updated: 2019-11-26Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf