With the rapid development of artificial intelligence technology, intelligent search assistant has become a key tool to improve the efficiency of information retrieval. This paper presents a design and implementation ...
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Attention monitoring is an essential task to evaluate the human cognitive status in human-computer interaction. Prior works either employ an inconvenient invasive method or struggle to provide an explainable mechanism...
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ISBN:
(纸本)9789819607822;9789819607839
Attention monitoring is an essential task to evaluate the human cognitive status in human-computer interaction. Prior works either employ an inconvenient invasive method or struggle to provide an explainable mechanism between the original human signal and the attention monitoring results. In this paper, we present Gaze2Atten, a dynamics-based cognitive learning approach for monitoring human attention with the non-invasive gaze signal. Gaze2Atten is constructed based on the dynamic system theory, which makes our mechanism explainable in attention modeling and monitoring. The attention-related gaze dynamics model is first learned based on the cognitive dynamics characteristics of humans. Furthermore, we realize an efficient dynamic pattern-matching method to early detect abnormal attention in the humancomputer interaction process. To validate our approach, we designed a serious game to carry out a human-computer interaction behavior, and a parallel gaze data collection of subjects, the analysis shows that Gaze2Atten enables efficient and real-time human attention monitoring.
Aiming at the fixed-time dichotomous consistency control problem of a first-order nonlinear multi-intelligence body system with external interference, this paper designs a fixed-time dichotomous consistency control al...
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The complexity of high-quality 3D digitised cultural heritage objects creates challenges for existing data management systems as they need to develop metadata management and processing capabilities to provide semantic...
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This paper presents a novel single-loop narrow-band force rebalance control method with temperature self-compensation for a MEMS gyroscope. The narrow-bandwidth force rebalance control for the sense mode is achieved u...
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The micro-Doppler effect captures the fine motion characteristics of maritime targets, serving as a crucial feature for distinguishing between sea clutter and targets, thereby enhancing radar target detection and reco...
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This study introduces the research methods for detecting changes in the mangroves of Dongzhaigang, Hainan from 2019 to 2023. Mangrove ecosystems play a crucial role in providing habitats and have ecological and econom...
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The proceedings contain 10 papers. The special focus in this conference is on BONBID-HIE Lesion Segmentation Challenge and Trauma Thompson Challenge. The topics include: Enhancing Lesion Segmentation in the ...
ISBN:
(纸本)9783031716256
The proceedings contain 10 papers. The special focus in this conference is on BONBID-HIE Lesion Segmentation Challenge and Trauma Thompson Challenge. The topics include: Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy;An Ensemble Approach for Segmentation of Neonatal HIE Lesions;Improving Segmentation of Hypoxic Ischemic Encephalopathy Lesions by Heavy Data Augmentation: Contribution to the BONBID Challenge;a Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging;SegResNet Based Reciprocal Transformation for BONBID-HIE Lesion Segmentation;Overview of the Trauma THOMPSON Challenge at MICCAI 2023;The Trauma THOMPSON Challenge Report MICCAI 2023;Action Recognition and Action Anticipation Tasks in the Trauma THOMPSON Challenge Technical Report;QuIIL at T3 Challenge: Towards automation in Life-Saving Intervention Procedures from First-Person View.
In the recommendation algorithm, due to the incompleteness of the interaction between users and items, there are often a large number of missing data in the interaction matrix, which affects the quality of recommendat...
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Adverse drug reactions induced by drug-drug interactions are important causes of morbidity and mortality. To address the issues that the existing models ignore the multidirectional mutual semantic transmission and loc...
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