@inproceedings{19bb420d9e194f4591b81d6242224138,
title = "Poster abstract: Non-invasive human activity monitoring using a low-cost Doppler sensor and an RF link",
abstract = "This paper presents a non-invasive human activity monitoring system with a low-cost Doppler sensor and a pair of radio frequency (RF) sensors. This radio-based system combines the strengths of two sensing modalities: fine granularity from a Doppler sensor and large sensing coverage from an RF link. The system is capable of detecting subtle human motion such as breathing, as well as walking in a large area. We deploy the system and perform experiments in a 5.5 m by 7.5 m room to classify four activities. Experimental results show that the average classification rate is 90\%, 31\% more accurate than a single Doppler system.",
keywords = "Activity recognition, Doppler, Radio frequency",
author = "Yang Zhao and Ting Yu and Jeffrey Ashe",
year = "2015",
month = nov,
day = "1",
doi = "10.1145/2809695.2817882",
language = "英语",
series = "SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems",
publisher = "Association for Computing Machinery ",
pages = "397--398",
booktitle = "SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems",
address = "美国",
note = "13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 ; Conference date: 01-11-2015 Through 04-11-2015",
}