Indoor Device-Free Activity Recognition Based on Radio Signal.
文献类型:期刊论文
作者 | Xiaoxia Huang; Mingwei Dai |
刊名 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
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出版日期 | 2017 |
文献子类 | 期刊论文 |
英文摘要 | Abstract: Activity recognition based on wireless signal has received many attention recently. Only requiring some modification on AP, this type of approaches is applicable to indoor environment. Many approaches require the Line-of-Sight (LOS) signal, while activity recognition based on wireless signal in Non-Line-of-Sight (NLOS) environment remains a challenging problem. More importantly, how to distinguish the velocity of human is still an open problem. In this paper, we present an approach for device-free movement recognition leveraging the radio frequency (RF) signal in the NLOS environment. We extract features from the received packet to classify different moving directions and velocities. We propose to distinguish human height based on the frequency feature of the received packet as well. Our experiment shows that the proposed approach can achieve high accuracy of human activity recognition even considering people with different height. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/12544] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
推荐引用方式 GB/T 7714 | Xiaoxia Huang, Mingwei Dai. Indoor Device-Free Activity Recognition Based on Radio Signal.[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2017. |
APA | Xiaoxia Huang,& Mingwei Dai.(2017).Indoor Device-Free Activity Recognition Based on Radio Signal..IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. |
MLA | Xiaoxia Huang,et al."Indoor Device-Free Activity Recognition Based on Radio Signal.".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017). |
入库方式: OAI收割
来源:深圳先进技术研究院
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