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Toward Intelligent Human Machine Interactions [PDF]

Mechanical Engineering, 2017
This article discusses the concept of human assistance systems (HAS) and research works to design the interface of HAS. It also focuses on the issue of how humans and HAS collaborate with each other during such interactions. HAS are expected to detect and compensate for human errors.
Yingzi Lin
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Editorial: Biomedical Data in Human–Machine Interaction [PDF]

Sensors (Basel), 2023
Aleksandra Kawala‐Sterniuk, Grzegorz M. Wójcik, Waldemar Bauer   +2 more
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Dynamic semantic description and search methods for heterogeneous learning resources [PDF]

Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021
Learning resources are massive, heterogeneous, and constantly changing. How to find the required resources quickly and accurately has become a very challenging work in the management and sharing of learning resources.
Xiaocong Lai, Ying Pan, Xueling Jiang
doaj   +1 more source

Crowdsourced Evaluation of Robot Programming Environments: Methodology and Application

Applied Sciences, 2021
Industrial robot programming tools increasingly rely on graphical interfaces, which aim at rendering the programming task more accessible to a wide variety of users.
Daria Piacun, Tudor B. Ionescu, Sebastian Schlund   +2 more
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Multi-source transfer learning for facial emotion recognition using multivariate correlation analysis

Scientific Reports, 2023
Deep learning techniques have proven to be effective in solving the facial emotion recognition (FER) problem. However, it demands a significant amount of supervision data which is often unavailable due to privacy and ethical concerns.
Ashwini B, Arka Sarkar, Pruthivi Raj Behera, Jainendra Shukla   +3 more
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Inter-Trial Variability of Context Influences the Binding Structure in a Stimulus-Response Episode

Journal of Cognition, 2022
There is strong evidence that stimuli and responses are bound together in a direct ('binary') fashion into an episodic representation called 'stimulus-response episode' (or 'event file').
Ruyi Qiu, Malte Möller, Iring Koch, Susanne Mayr   +3 more
doaj   +1 more source

MFANet: A Collar Classification Network Based on Multi-Scale Features and an Attention Mechanism

Mathematics, 2023
The collar is an important part of a garment that reflects its style. The collar classification task is to recognize the collar type in the apparel image.
Xiao Qin, Shanshan Ya, Changan Yuan, Dingjia Chen, Long Long, Huixian Liao   +5 more
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Prediction of Particulate Matter 2.5 Concentration Using a Deep Learning Model with Time-Frequency Domain Information

Applied Sciences, 2023
In recent years, deep learning models have gained significant traction and found extensive applications in the realm of PM2.5 concentration prediction. PM2.5 concentration sequences are rich in frequency information; however, existing PM2.5 concentration
Xueming Tang, Nan Wu, Ying Pan
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“Mine Works Better”: Examining the Influence of Embodiment in Virtual Reality on the Sense of Agency During a Binary Motor Imagery Task With a Brain-Computer Interface

Frontiers in Psychology, 2021
Motor imagery-based brain-computer interfaces (MI-BCI) have been proposed as a means for stroke rehabilitation, which combined with virtual reality allows for introducing game-based interactions into rehabilitation. However, the control of the MI-BCI may
Hamzah Ziadeh, David Gulyas, Louise Dørr Nielsen, Steffen Lehmann, Thomas Bendix Nielsen, Thomas Kim Kroman Kjeldsen, Bastian Ilsø Hougaard, Mads Jochumsen, Hendrik Knoche   +8 more
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MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model

BMC Medical Informatics and Decision Making, 2023
Background Accurately classifying complex diseases is crucial for diagnosis and personalized treatment. Integrating multi-omics data has been demonstrated to enhance the accuracy of analyzing and classifying complex diseases.
Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen, Changliang Wu   +7 more
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