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ORCID
https://orcid.org/0000-0003-4048-5586
Access Type
Open Access Thesis
Document Type
thesis
Degree Program
Electrical & Computer Engineering
Degree Type
Master of Science in Electrical and Computer Engineering (M.S.E.C.E.)
Year Degree Awarded
2021
Month Degree Awarded
May
Abstract
Ambient temperature sensing plays an important role in a number of applications in agriculture, industry, daily health care. In this thesis project, we propose a new acoustic-based ambient temperature sensing method called Mtemp. Mtemp empowers acoustic-enabled IoT devices, smartphones to perform ambient air temperature sensing without additional hardware. Basically, Mtemp utilizes on-board speaker and microphone to calculate the propagation speed of acoustic signal by measuring the phrase of the target signal, thereby estimate the ambient temperature according to a roughly linear relationship between temperature and sound speed. Mtemp is portable and economical, making it competitive compared with traditional thermometers for ubiquitous sensing.
DOI
https://doi.org/10.7275/22470564.0
First Advisor
Jie Xiong
Second Advisor
Jeremy Gummeson
Third Advisor
Yadi Eslami
Recommended Citation
Guo, Hao, "Mtemp: An Ambient Temperature Estimation Method Using Acoustic Signal on Mobile Devices" (2021). Masters Theses. 1051.
https://doi.org/10.7275/22470564.0
https://scholarworks.umass.edu/masters_theses_2/1051