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A Novel Energy-Efficient Approach for Human Activity Recognition
In this paper, we propose a novel energy-efficient approach for mobile activity recognition system (ARS) to detect human activities. The proposed energy-efficient ARS, using low sampling rates, can achieve high recognition accuracy and low energy consumption. A novel classifier that integrates hiera...
Autores principales: | Zheng, Lingxiang, Wu, Dihong, Ruan, Xiaoyang, Weng, Shaolin, Peng, Ao, Tang, Biyu, Lu, Hai, Shi, Haibin, Zheng, Huiru |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621091/ https://www.ncbi.nlm.nih.gov/pubmed/28885560 http://dx.doi.org/10.3390/s17092064 |
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