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Title: Unobtrusive Sensor-Based Occupancy Facing Direction Detection and Tracking Using Advanced Machine Learning Algorithms

Abstract

Not provided.

Authors:
; ORCiD logo;
Publication Date:
Research Org.:
State Univ. of New York (SUNY), Albany, NY (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1541468
DOE Contract Number:  
AR0000531
Resource Type:
Journal Article
Journal Name:
IEEE Sensors Journal
Additional Journal Information:
Journal Volume: 18; Journal Issue: 15; Journal ID: ISSN 1530-437X
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
Engineering; Instruments & Instrumentation; Physics

Citation Formats

Chen, Zhangjie, Wang, Ya, and Liu, Hanwei. Unobtrusive Sensor-Based Occupancy Facing Direction Detection and Tracking Using Advanced Machine Learning Algorithms. United States: N. p., 2018. Web. doi:10.1109/jsen.2018.2844252.
Chen, Zhangjie, Wang, Ya, & Liu, Hanwei. Unobtrusive Sensor-Based Occupancy Facing Direction Detection and Tracking Using Advanced Machine Learning Algorithms. United States. doi:10.1109/jsen.2018.2844252.
Chen, Zhangjie, Wang, Ya, and Liu, Hanwei. Wed . "Unobtrusive Sensor-Based Occupancy Facing Direction Detection and Tracking Using Advanced Machine Learning Algorithms". United States. doi:10.1109/jsen.2018.2844252.
@article{osti_1541468,
title = {Unobtrusive Sensor-Based Occupancy Facing Direction Detection and Tracking Using Advanced Machine Learning Algorithms},
author = {Chen, Zhangjie and Wang, Ya and Liu, Hanwei},
abstractNote = {Not provided.},
doi = {10.1109/jsen.2018.2844252},
journal = {IEEE Sensors Journal},
issn = {1530-437X},
number = 15,
volume = 18,
place = {United States},
year = {2018},
month = {8}
}