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A low power and high accuracy MEMS sensor based activity recognition algorithm

Weng, Shaolin, Xiang, Luping, Tang, Weiwei, Yang, Hui, Zheng, Lingxiang, Lu, Hai and Zheng, Huiru (2014) A low power and high accuracy MEMS sensor based activity recognition algorithm. In: 2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, Belfast, United Kingdom, November 2-5, 2014. IEEE. 6 pp. [Conference contribution]

Full text not available from this repository.

URL: http://dx.doi.org/10.1109/BIBM.2014.6999238

DOI: 10.1109/BIBM.2014.6999238


Item Type:Conference contribution (Paper)
Keywords:H-SVM classifiers, activity recognition, low sampling rate, power consumption
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:33924
Deposited By: Dr Huiru Zheng
Deposited On:24 Mar 2016 14:50
Last Modified:24 Mar 2016 14:50

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