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Description
  • Human physical activity monitoring is a relatively new problem drawing much attention over the last years due to its wide application in medicine, homecare systems, prisoner monitoring etc. This paper presents Orthogonal Matching Pursuit as a method for activity recognition and proposes a new modification to the method that significantly increases the recognition accuracy. Both methods show promising results in both total recognition and differentiation between certain activities even without the necessity of prior data preprocessing. The methods were tested on raw sensor data.
  • Human physical activity monitoring is a relatively new problem drawing much attention over the last years due to its wide application in medicine, homecare systems, prisoner monitoring etc. This paper presents Orthogonal Matching Pursuit as a method for activity recognition and proposes a new modification to the method that significantly increases the recognition accuracy. Both methods show promising results in both total recognition and differentiation between certain activities even without the necessity of prior data preprocessing. The methods were tested on raw sensor data. (en)
Title
  • Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition
  • Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition (en)
skos:prefLabel
  • Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition
  • Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition (en)
skos:notation
  • RIV/61989100:27740/13:86088505!RIV14-MSM-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), S
http://linked.open...iv/cisloPeriodika
  • 12
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 110333
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/13:86088505
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • raw data; pattern recognition; orthogonalmatching pursuit; activitymonitoring (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [616F80427DF7]
http://linked.open...i/riv/nazevZdroje
  • Advances in Intelligent Systems and Computing. Volume 210
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 210
http://linked.open...iv/tvurceVysledku
  • Gajdoš, Petr
  • Peterek, Tomáš
  • Dohnálek, Pavel
issn
  • 2194-5357
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-319-00542-3_49
http://localhost/t...ganizacniJednotka
  • 27740
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