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A Novel Energy-Efficient Approach for Human Activity Recognition

Zheng, Lingxiang, Wu, Dihong, Ruan, Xiaoyang, Weng, Shaolin, Peng, Ao, Tang, Biyu, Lu, Hai, Shi, Haibin and Zheng, Huiru (2017) A Novel Energy-Efficient Approach for Human Activity Recognition. Sensors, 17 (9). p. 2064. [Journal article]

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URL: http://dx.doi.org/10.3390/s17092064

DOI: 10.3390/s17092064

Item Type:Journal article
Keywords:activity recognition; low power consumption; low sampling rate; energy-efficient classifier
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:38807
Deposited By: Dr Huiru Zheng
Deposited On:23 Oct 2017 08:45
Last Modified:23 Oct 2017 08:45

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