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Real-time multimodal interaction in virtual reality - a case study with a large virtual interface
The values of VR and multimodal interaction technologies offer creative, virtual alternatives to manipulate a large data set in a virtual...
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A Systematic Study on Unimodal and Multimodal Human Computer Interface for Emotion Recognition
A systematic study for human-computer interface (HCI) for emotion recognition is presented in this paper, with a focus on various methods used to...
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Multimodal video retrieval with CLIP: a user study
Recent machine learning advances demonstrate the effectiveness of zero-shot models trained on large amounts of data collected from the internet....
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Multimodal interaction and IoT applications
Multimodal interaction enables multiple modes for users to interact with the system. Whereas the multimodal interaction with IoT applications depends...
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Personality trait estimation in group discussions using multimodal analysis and speaker embedding
The automatic estimation of personality traits is essential for many human–computer interface (HCI) applications. This paper focused on improving Big...
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Neuro-Symbolic Reasoning for Multimodal Referring Expression Comprehension in HMI Systems
Conventional Human–Machine Interaction (HMI) interfaces have predominantly relied on GUI and voice commands. However, natural human communication...
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MAG: a smart gloves system based on multimodal fusion perception
The value and significance of intelligent experiments have gained widespread consensus and formed an industry chain in the education field. However,...
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Multimodal Content Generation
In this chapter, we will review the advances that are being made in this new field of multimodal content generation and also discuss several...
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Building a three-level multimodal emotion recognition framework
Multimodal emotion detection has been one of the main lines of research in the field of Affective Computing (AC) in recent years. Multimodal...
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Multimodal Fusion of Brain Imaging Data: Methods and Applications
Neuroimaging data typically include multiple modalities, such as structural or functional magnetic resonance imaging, diffusion tensor imaging, and...
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Multimodal Labor Exploitation Detections for Taiwan Distant Water Fishing Industry
Taiwan plays a significant role in global seafood supply chains, accounting for approximately 10% of global tuna catches. The country is a...
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A Review of Key Technologies for Emotion Analysis Using Multimodal Information
Emotion analysis, an integral aspect of human–machine interactions, has witnessed significant advancements in recent years. With the rise of...
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Perceptive vs reflective: spectator interpretation of multimodal artworks
This article presents an empirical investigation into spectator interpretation of multimodal artworks. Specifically, this article explores perception...
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Visualizing Multimodal Time Series at Scale
Today digital recording technology empowers us to understand real-world behaviors with high quality and high definition multimodal time series data....
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Non-invasive real-time multimodal deception detection using machine learning and parallel computing techniques
Detecting deception reliably has been a sought-after goal for researchers since the early twentieth century. This is due to its high stakes nature,...
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Unsupervised graph reasoning distillation hashing for multimodal hamming space search with vision-language model
Multimodal hash technology maps high-dimensional multimodal data into hash codes, which greatly reduces the cost of data storage and improves query...
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Adaptive user interface based on accessibility context
The substantial involvement of Adaptive User Interfaces (AUI) in providing adaptive and accessible interactive systems has created the need to...
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MAR Enhanced Hiking Experience: Exploring Multimodal Experience Design in Outdoor Scenarios
In recent years, outdoor hiking has gained popularity, driven by increasing health awareness. However, enthusiasts of hiking encounter challenges...
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A Real-time Multimodal Intelligent Tutoring Emotion Recognition System (MITERS)
Emotion recognition can be used in a wide range of applications. We are interested in the E-learning system because of the several benefits of...
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Multimodal fusion for audio-image and video action recognition
Multimodal Human Action Recognition (MHAR) is an important research topic in computer vision and event recognition fields. In this work, we address...
