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Published in 2017 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-017-0423-9
Abstract: The amount of mental work using information equipment has been increasing because of a rapid growth of an information society. Accumulation of short-term mental work can cause various stresses and a disturbance of circadian rhythm…
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Keywords:
thermal images;
term;
long term;
physiological signals ... See more keywords
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Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01470-4
Abstract: This article focuses on identifying tiny faces in thermal images using transfer learning. Although the issue of identifying faces in images is not new, the problem of tiny face identification is a recently identified research…
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Keywords:
thermal images;
transfer learning;
identifying tiny;
faces thermal ... See more keywords
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Published in 2020 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-020-00907-9
Abstract: Human–Animal Conflict (HAC) is one of the primary threats to the continued survival of animal species and it has also impacted the lives of humans drastically. In this paper, we propose an efficient animal detection…
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Keywords:
thermal images;
detection recognition;
system;
using thermal ... See more keywords
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Published in 2021 at "Powder Technology"
DOI: 10.1016/j.powtec.2021.05.072
Abstract: Abstract Raceway is a key region in ironmaking blast furnace (BF). While the raceway depth is extremely difficult to measure, thermal images near tuyeres may be available. In this study, inspired by the concept of…
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Keywords:
raceway depth;
soft sensor;
thermal images;
ironmaking blast ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3025413
Abstract: Human pose estimation is an important task for several applications, such as video surveillance systems. However, color (i.e., RGB) images may not always be available under certain conditions, such as privacy issues and lack of…
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Keywords:
estimation using;
person pose;
pose estimation;
multi person ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161968
Abstract: Infrared thermographs (IRTs, also called thermal cameras) have been used to remotely measure elevated body temperature (BT) and respiratory rate (RR) during infectious disease outbreaks, such as COVID-19. To facilitate the fast measurement of BT…
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Keywords:
system;
inner canthi;
thermal images;
rate ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3225233
Abstract: The monitoring of presence is a timely topic in intelligent building management systems. Nowadays, most rooms, halls, and auditoriums use a simple binary presence detector that is used to control the operation of HVAC systems.…
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Keywords:
resource;
thermal images;
people counting;
resource constrained ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3264714
Abstract: This study addresses the human pose estimation problem on thermal images using Convolutional Neural Networks and Vision Transformer architectures. To do this, eight human pose estimation methods designed for visible images were extended to be…
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Keywords:
thermal domain;
thermal images;
pose estimation;
human pose ... See more keywords
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Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3271510
Abstract: Traditional Visual Odometry (VO) methods that utilize visible cameras frequently degrade in challenging illumination environments. Alternative vision sensors such as thermal cameras are promising for all-day navigation since the delivered thermal images are invariant to…
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Keywords:
thermal depth;
challenging illumination;
thermal images;
depth odometry ... See more keywords
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Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3111977
Abstract: Current fault diagnosis methods for rotor-bearing systems are mostly based on analyzing the vibration signals collected at steady rotating speeds. In those methods, the data collected under one operating condition cannot be accurately used for…
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Keywords:
diagnosis;
rotor bearing;
transfer;
domain ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3151185
Abstract: The existing fault diagnosis methods of rotating machinery constructed with both shallow learning and deep learning models are mostly based on vibration analysis under steady rotating speed. However, the rotating speed frequently changes to meet…
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Keywords:
infrared thermal;
fault diagnosis;
thermal images;
rotating machinery ... See more keywords