Results 91 to 100 of about 8,339 (216)
A Review of Multimodal Interaction in Remote Education: Technologies, Applications, and Challenges
Multimodal interaction technology has become a key aspect of remote education by enriching student engagement and learning results as it utilizes the speech, gesture, and visual feedback as various sensory channels.
Yangmei Xie +4 more
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Chemically Doped Conductive Polymers for Wearable Health Monitoring
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
Modeling a Multimodal Learning Analysis in the Context of Smart Classrooms
In contemporary education, the prevalence of the test-oriented education has led to a single, rigid learning assessment, as well as the neglecting of the personalized learning needs of learners.
TANG Qianwen, ZHANG Hao, WU Yian
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Multimodal Data Efficient Learning
Recently, unimodal models have attained good performance in many tasks. However, using one modality may not provide sufficient information in complex situations. Humans use multimodal input, such as vision and hearing, to act in the real world. Similarly, this thesis proposes systems that use multimodal input for video classification and visual ...
openaire +2 more sources
Multimodal Emotion Recognition Using Multimodal Deep Learning
To enhance the performance of affective models and reduce the cost of acquiring physiological signals for real-world applications, we adopt multimodal deep learning approach to construct affective models from multiple physiological signals. For unimodal enhancement task, we indicate that the best recognition accuracy of 82.11% on SEED dataset is ...
Liu, Wei, Zheng, Wei-Long, Lu, Bao-Liang
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Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
This study aims to obtain information about French Language Education Study Program students' perception of using multimodal texts in Réception Écrite (RE) learning or reading, followed by a needs analysis of multimodal text-based teaching materials ...
Sri Harini Ekowati, Yunilis Andika
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Factorized Multimodal Transformer for Multimodal Sequential Learning
The complex world around us is inherently multimodal and sequential (continuous). Information is scattered across different modalities and requires multiple continuous sensors to be captured. As machine learning leaps towards better generalization to real world, multimodal sequential learning becomes a fundamental research area.
Zadeh, Amir +6 more
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Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi +12 more
wiley +1 more source
Research on Multimodal Prediction of E-Commerce Customer Satisfaction Driven by Big Data
This study deeply integrates multimodal data analysis and big data technology, proposing a multimodal learning framework that consolidates various information sources, such as user geographic location, behavior data, and product attributes, to achieve a ...
Xiaodong Zhang, Chunrong Guo
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