Indoor Occupancy Estimation Using Particle Filter and SLEEPIR Sensor System

Emad-ud-Din, Muhammad; Chen, Zhangjie; Wu, Libo; Shen, Qijie; Wang, Ya

doi:10.1109/jsen.2022.3192270

Indoor Occupancy Estimation Using Particle Filter and SLEEPIR Sensor System

Journal Article · 01 September 2022 · IEEE Sensors Journal

DOI:https://doi.org/10.1109/jsen.2022.3192270· OSTI ID:1980428

^[1]; Chen, Zhangjie ^[2]; ^[2]; Shen, Qijie ^[3]; ^[4]

Department of Computer Science, Texas A&,M University, College Station, TX, USA; OSTI
J. Mike Walker ’,66 Department of Mechanical Engineering, Texas A&,M University, College Station, TX, USA
Department of Electrical and Computer Engineering, Texas A&,M University, College Station, TX, USA
J. Mike Walker ’,66 Department of Mechanical Engineering, Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering, Texas A&,M University, College Station, TX, USA

Not provided.

Research Organization:: Texas A & M Univ., College Station, TX (United States). Texas A & M Engineering Experiment Station

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

DOE Contract Number:: AR0000945

OSTI ID:: 1980428

Journal Information:: IEEE Sensors Journal, Journal Name: IEEE Sensors Journal Journal Issue: 17 Vol. 22; ISSN 1530-437X

Publisher:: IEEE

Country of Publication:: United States

Language:: English

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