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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 and Zheng, Huiru (2017) Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition. In: DLB2H 2017 workshop at 2017 IEEE International Conference on Bioinformatics and Biomedicine. IEEE. 6 pp. [Conference contribution]

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URL: http://dx.doi.org/10.1109/BIBM.2017.8217821

DOI: 10.1109/BIBM.2017.8217821


Item Type:Conference contribution (Paper)
Keywords:human activity recognition, deep learning, LSTM, CNN
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:39624
Deposited By: Dr Huiru Zheng
Deposited On:23 Apr 2018 14:42
Last Modified:23 Apr 2018 14:42

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