Improving Indoor Occupancy Detection Accuracy of the SLEEPIR Sensor Using LSTM Models-Reference-Cited by-同舟云学术

Improving Indoor Occupancy Detection Accuracy of the SLEEPIR Sensor Using LSTM Models

Published:2023-08-01 Issue:15 Volume:23 Page:17794-17802
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Chen Zhangjie¹,Wang Mingyi²,Wang Ya³^ORCID

Affiliation:

1. Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

2. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA

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

Funder

U.S. Department of Energy, Advanced Research Projects Agency-Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://ieeexplore.ieee.org/ielam/7361/10198840/10161606-aam.pdf

Reference39 articles.

1. Unobtrusive Sensor-Based Occupancy Facing Direction Detection and Tracking Using Advanced Machine Learning Algorithms

2. Stationary and Moving Occupancy Detection Using the SLEEPIR Sensor Module and Machine Learning

3. Remote Recognition of In-Bed Postures Using a Thermopile Array Sensor With Machine Learning

4. Occupancy Detection Using a Temperature-Sensitive Adaptive Algorithm

5. Occupancy Estimation Using a Low-Pixel Count Thermal Imager

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advanced optimization-based weighted features for ensemble deep learning smart occupancy detection network for road traffic parking;Journal of Network and Computer Applications;2024-10

2. Evaluation of Occupancy Detection with Distributed Environmental Sensors for IoT Applications;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

3. A systematic review and comprehensive analysis of building occupancy prediction;Renewable and Sustainable Energy Reviews;2024-04

4. Optimization of Residential Demand Response Program Cost With Consideration for Occupants Thermal Comfort and Privacy;IEEE Access;2024

5. An Intelligent Indoor Emergency Evacuation System using IoT-enabled WSNs for Smart Buildings;IEEE Internet of Things Journal;2023