@inproceedings{710a79ab9c6045e3a1669c5befb3fc9b,
title = "AcousticThermo: Temperature monitoring using acoustic pulse signal",
abstract = "Temperature is an important indicator for agriculture irrigation, industrial manufacture, food safety, etc. While temperature measurement can be achieved via dedicated sensors, there still have a demand to sense temperature with ubiquitous computing devices. In this paper, we propose to enable the sound signal to measure the air temperature using commodity acoustic devices. Different from existing FMCW and OFDM based acoustic sensing system, we are the first to employ acoustic pulse signal and get rid of offsets to obtain the accurate sound speed. Then we precisely obtain temperature by quantifying the relation between sound speed and temperature. We build a temperature monitoring prototype named AcousticThermo, and conduct extensive experiments. Experimental results show that the proposed system can achieve an average estimation error of below 0.2°C in various temperature environments.",
keywords = "Acoustic sensing, Contactless sensing, Sound speed, Temperature",
author = "Fusang Zhang and Kai Niu and Xiaolai Fu and Beihong Jin",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 16th International Conference on Mobility, Sensing and Networking, MSN 2020 ; Conference date: 17-12-2020 Through 19-12-2020",
year = "2020",
month = dec,
doi = "10.1109/MSN50589.2020.00114",
language = "英语",
series = "Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "683--687",
booktitle = "Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020",
address = "美国",
}