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 proceedingConference contribution

2 Citations (Scopus)
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1160-1165
Number of pages6
DOIs
Publication statusE-pub ahead of print - 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

Cite this

Chen, Haipeng ; Xiong, Fuhai ; Wu, Dihong ; Zheng, Lingxiang ; Peng, Ao ; Hong, Xuemin ; Tang, Biyu ; Lu, Hai ; Shi, Haibin ; Zheng, Huiru. / Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition. Unknown Host Publication. 2017. pp. 1160-1165
@inproceedings{ca73f79c21cd44f3aa7eb32088769b75,
title = "Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition",
keywords = "human activity recognition, deep learning, LSTM, CNN",
author = "Haipeng Chen and Fuhai Xiong and Dihong Wu and Lingxiang Zheng and Ao Peng and Xuemin Hong and Biyu Tang and Hai Lu and Haibin Shi and Huiru Zheng",
year = "2017",
month = "12",
day = "18",
doi = "10.1109/BIBM.2017.8217821",
language = "English",
isbn = "978-1-5090-3051-4",
pages = "1160--1165",
booktitle = "Unknown Host Publication",

}

Chen, H, Xiong, F, Wu, D, Zheng, L, Peng, A, Hong, X, Tang, B, Lu, H, Shi, H & Zheng, H 2017, Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition. in Unknown Host Publication. pp. 1160-1165, DLB2H 2017 workshop at 2017 IEEE International Conference on Bioinformatics and Biomedicine, 18/12/17. https://doi.org/10.1109/BIBM.2017.8217821

Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition. / Chen, Haipeng; Xiong, Fuhai; Wu, Dihong; Zheng, Lingxiang; Peng, Ao; Hong, Xuemin; Tang, Biyu; Lu, Hai; Shi, Haibin; Zheng, Huiru.

Unknown Host Publication. 2017. p. 1160-1165.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition

AU - Chen, Haipeng

AU - Xiong, Fuhai

AU - Wu, Dihong

AU - Zheng, Lingxiang

AU - Peng, Ao

AU - Hong, Xuemin

AU - Tang, Biyu

AU - Lu, Hai

AU - Shi, Haibin

AU - Zheng, Huiru

PY - 2017/12/18

Y1 - 2017/12/18

KW - human activity recognition

KW - deep learning

KW - LSTM

KW - CNN

U2 - 10.1109/BIBM.2017.8217821

DO - 10.1109/BIBM.2017.8217821

M3 - Conference contribution

SN - 978-1-5090-3051-4

SP - 1160

EP - 1165

BT - Unknown Host Publication

ER -

Chen H, Xiong F, Wu D, Zheng L, Peng A, Hong X et al. Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition. In Unknown Host Publication. 2017. p. 1160-1165 https://doi.org/10.1109/BIBM.2017.8217821