@inproceedings{6696b1be888946d6a1dee136881628c9,
title = "Demo Abstract: Occupancy and activity monitoring with Doppler sensing and edge analytics",
abstract = "We demonstrate an occupancy detection and human activ-ity monitoring system using low-cost motion sensing, edge computing and wireless networking devices. We design a dual Doppler sensor to achieve high signal sensitivity and wide sensing range. We develop signal filtering, detection and machine learning algorithms on an embedded computer to generate classification result in real-Time. We also imple-ment web services to enable users to access signal and room state via a wireless network. Compared with conventional occupancy sensors, the dual Doppler system has higher de-tection rate, and also has the capability of detecting activi-ties even for multiple people.",
author = "Yang Zhao and Jeff Ashe and David Toledano and Brandon Good and Li Zhang and Adam McCann",
note = "Publisher Copyright: {\textcopyright} 2016 Copyright held by the owner/author(s).; 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 ; Conference date: 14-11-2016 Through 16-11-2016",
year = "2016",
month = nov,
day = "14",
doi = "10.1145/2994551.2996543",
language = "英语",
series = "Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016",
publisher = "Association for Computing Machinery ",
pages = "322--323",
booktitle = "Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016",
address = "美国",
}