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Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition

  • Haipeng Chen
  • , Fuhai Xiong
  • , Dihong Wu
  • , Lingxiang Zheng
  • , Ao Peng
  • , Xuemin Hong
  • , Biyu Tang
  • , Hai Lu
  • , Haibin Shi
  • , Huiru Zheng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages1160-1165
Number of pages6
ISBN (Print)978-1-5090-3051-4
DOIs
Publication statusPublished online - 18 Dec 2017
EventDLB2H 2017 workshop at 2017 IEEE International Conference on Bioinformatics and Biomedicine -
Duration: 18 Dec 2017 → …

Workshop

WorkshopDLB2H 2017 workshop at 2017 IEEE International Conference on Bioinformatics and Biomedicine
Period18/12/17 → …

Keywords

  • human activity recognition
  • deep learning
  • LSTM
  • CNN

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