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Support to Interaction Between Medical Practitioners and Patients: A Systematic Review
Effective interaction between medical practitioners and patients is critical in ensuring positive health outcomes. The primary goal of this...
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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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Recent progress in sign language recognition: a review
Sign language is a predominant form of communication among a large group of society. The nature of sign languages is visual, making them distinct...
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Neurochat: Artistic Affective State Facial Filters in Online Video Communication
This paper describes “Neurochat”, a novel artistic Brain Computer Interface (aBCI) application that allows users to explore the combination of art...
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A Priced-Deferred Acceptance (p-DA) Technique for D2D Communication in Factories of the Future
The Deferred Acceptance (DA) algorithm has often been used to study spectrum sharing and to solve the assignment problem of Device-to-Device (D2D)...
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Tinysign: sign language recognition in low resolution settings
Existing sign language recognition (SLR) methods mostly rely on high-quality videos that include clear hand and body movements. However, these...
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Energy-Efficient Mode Selection for D2D Communication in SWIPT Systems
To realized an energy-efficient mode selection, we apply simultaneous wireless information and power transfer (SWIPT) to D2D communications, so that...
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Sign language : a systematic review on classification and recognition
Sign language serves as an alternative communication mode for those with limitations in hearing and speaking abilities. In India, an estimated...
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Annotation of scientific uncertainty using linguistic patterns
Scientific uncertainty is an integral part of the research process and inherent to the construction of new knowledge. In this paper, we investigate...
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N-Gram Based Sarcasm Detection for News and Social Media Text Using Hybrid Deep Learning Models
Sarcasm is a type of communication that involves using words with meanings opposite to their literal definition to create humor or mock someone. This...
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Structured abstract generator (SAG) model: analysis of IMRAD structure of articles and its effect on extractive summarization
An abstract is the most crucial element that may convince readers to read the complete text of a scientific publication. However, studies show that...
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Social Distancing and Social Biosensing: Intersubjectivity from Afar
The shelter-in-place orders across the U.S. in response to the COVID-19 pandemic forced many relationships once sustained by in-person interaction...
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Supervision by Landmarks: An Enhanced Facial De-occlusion Network for VR-Based Applications
Face possesses a rich spatial structure that can provide valuable cues to guide various face-related tasks. The eyes are considered an important...
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Effects of Virtual Character’s Eye Movements in Reach Motion on Target Prediction
In human communication, nonverbal behaviors play an important role in realizing smooth communication. However, it is not clear that the effects of...
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Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding
Recently, imagined speech has become a subject of study due to its potential as an intuitive communication system. It involves registering neural...
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Understanding visually impaired people’s experiences of social signal perception in face-to-face communication
Social signals (e.g., facial expression, gestures) are important in social interactions. Most of them are visual cues, which are hardly accessible...
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Speech emotion recognition by using complex MFCC and deep sequential model
Speech Emotion Recognition (SER) is one of the front-line research areas. For a machine, inferring SER is difficult because emotions are subjective...
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AWARESCUES: Awareness Cues Scaling with Group Size and Extended Reality Devices
The Covid-19 pandemic has strongly increased the relevance of remote collaboration such that online meetings are now well-established in many...
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Cue Usage Characteristics of Angry Negotiators in Distributive Electronic Negotiation
The role of anger in negotiation is explored in considerable depth in many papers in the literature. In the electronic negotiation situation, one way...
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Resource Allocation for Full-Duplex V2V Communications Based on Deep Reinforcement Learning
In this paper, we investigate the application of full-duplex technology in vehicular networks and develop a novel decentralized resource allocation...