R&P: An Low-Cost Device-Free Activity Recognition for E-Health
文献类型：期刊论文
| 作者 | Li, Liyao1; Bai, Rui1; Xie, Binbin1; Peng, Yao1; Wang, Anwen1; Wang, Wei1; Jiang, Bo1; Liang, Jian2; Chen, Xiaojiang1 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2018 |
| 卷号 | 6页码:81-90 |
| 关键词 | Rfid Device-free Rss Phase T-dtw |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2017.2749323 |
| 产权排序 | 2 |
| 英文摘要 | Activity recognition is important for taking care of patients and old men especially in e-Health. The activity recognition system without carrying any wearable devices is widely used in our daily life. Current methods employing uneconomical equipment or even dedicated devices lead to cost-inefficiency for large-scale deployments. This paper introduces R&P, a device-free activity recognition system only using cheap radio frequency identification devices (RFID) tags. Based on the analysis of RFID signals, we extract received signal strength fingerprints and phase fingerprints for each activity and synthesize these two kinds of fingerprints to accurately recognize activities. Moreover, we also modify the dynamic time warping (DTW) algorithm and propose T-DTW method to improve the recognition efficiency. We use commercial passive RFID hardware and verify R&Pin three different environments with different targets and six activities. The results demonstrate that our solution can recognize activities with an average accuracy of 87.9%. |
| 语种 | 英语 |
| WOS记录号 | WOS:000424078700005 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/30779]  |
| 专题 | 西安光学精密机械研究所_信息光子学研究室 |
| 作者单位 | 1.Northwest Univ, Sch Informat Sci & Technol, Xian 710127, Shaanxi, Peoples R China; 2.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Liyao,Bai, Rui,Xie, Binbin,et al. R&P: An Low-Cost Device-Free Activity Recognition for E-Health[J]. IEEE ACCESS,2018,6:81-90. |
| APA | Li, Liyao.,Bai, Rui.,Xie, Binbin.,Peng, Yao.,Wang, Anwen.,...&Chen, Xiaojiang.(2018).R&P: An Low-Cost Device-Free Activity Recognition for E-Health.IEEE ACCESS,6,81-90. |
| MLA | Li, Liyao,et al."R&P: An Low-Cost Device-Free Activity Recognition for E-Health".IEEE ACCESS 6(2018):81-90. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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