Concepts of user-centred lighting controls for office applications: A systematic literature review
S Hammes, D Geisler-Moroder, M Hauer… - Building and …, 2024 - Elsevier
Due to the very limited information available during building design phase, lighting
automation systems tend to follow pre-defined control curves and use normative default …
automation systems tend to follow pre-defined control curves and use normative default …
A Survey on Drowsiness Detection–Modern Applications and Methods
Drowsiness detection holds paramount importance in ensuring safety in workplaces or
behind the wheel, enhancing productivity, and healthcare across diverse domains …
behind the wheel, enhancing productivity, and healthcare across diverse domains …
Few-Short Learning for Detecting Affective States from Keyboard and Mouse Data
Around 49% of people working with a computer for more than 4 hours a day and 30% of
those working with a computer for 2–4 hours a day report stress due to computer use [1] …
those working with a computer for 2–4 hours a day report stress due to computer use [1] …
Drowsiness detection based on EEG signal using discrete wavelet transform (DWT) and K-Nearest Neighbors (K-NN) methods
C Ekaputri, YN Fu'adah, NKC Pratiwi, A Rizal… - Proceedings of the 1st …, 2021 - Springer
Drowsiness generally occurs due to lack of sleep. Drowsiness can trigger various problems,
such as decreasing productivity, damaging emotions, even to the point of causing serious …
such as decreasing productivity, damaging emotions, even to the point of causing serious …
Deteção de Fadiga através de uma abordagem baseada em eventos
HJG Bento - 2022 - search.proquest.com
O advento da Indústria 5.0, introduz na Europa uma abordagem centrada no ser humano,
que pretende garantir o bem-estar dos trabalhadores nos processos produtivos, incluindo …
que pretende garantir o bem-estar dos trabalhadores nos processos produtivos, incluindo …
[图书][B] An investigation into generating high-quality, diversified datasets of microbiological images for supervised computer vision models
SM Bafti - 2022 - search.proquest.com
Supervised deep neural networks need datasets for training, in which the data need to be
annotated before use. For developing a reliable deep neural network, the datasets should …
annotated before use. For developing a reliable deep neural network, the datasets should …
Keyboard and mouse operation based computer gaming state detection method
F Chen, J Yao - … 2021; The Second International Conference on …, 2021 - ieeexplore.ieee.org
As E-learning becomes more and more popular, more and more students are beginning to
acquire knowledge online. Nevertheless, students are also easy to addict to computer …
acquire knowledge online. Nevertheless, students are also easy to addict to computer …