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Found 22 papers, 2 papers with code
A Continuation Semantics for Abstract Meaning Representation
Abstract Meaning Representation (AMR) is a simple, expressive semantic framework whose emphasis on predicate-argument structure is effective for many tasks.
Abstract Meaning Representation for Gesture
This paper presents Gesture AMR, an extension to Abstract Meaning Representation (AMR), that captures the meaning of gesture.
Common Ground Tracking in Multimodal Dialogue
Within Dialogue Modeling research in AI and NLP, considerable attention has been spent on ``dialogue state tracking'' (DST), which is the ability to update the representations of the speaker's needs at each turn in the dialogue by taking into account the past dialogue moves and history.
Intelligent Stress Assessment for e-Coaching
This paper considers the adaptation of the e-coaching concept at times of emergencies and disasters, through aiding the e-coaching with intelligent tools for monitoring humans' affective state.
After-Stroke Arm Paresis Detection using Kinematic Data
This paper presents an approach for detecting unilateral arm paralysis/weakness using kinematic data.
Causal Models Applied to the Patterns of Human Migration due to Climate Change
The impacts of mass migration, such as crisis induced by climate change, extend beyond environmental concerns and can greatly affect social infrastructure and public services, such as education, healthcare, and security.
Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense
In this paper, we investigate hand gesture classifiers that rely upon the abstracted 'skeletal' data recorded using the RGB-Depth sensor.
Assessing Upper Limb Motor Function in the Immediate Post-Stroke Perioud Using Accelerometry
Accelerometry has been extensively studied as an objective means of measuring upper limb function in patients post-stroke.
Fairness on Synthetic Visual and Thermal Mask Images
In this paper, we study performance and fairness on visual and thermal images and expand the assessment to masked synthetic images.
Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%
In this study of the face recognition on masked versus unmasked faces generated using Flickr-Faces-HQ and SpeakingFaces datasets, we report 36. 78% degradation of recognition performance caused by the mask-wearing at the time of pandemics, in particular, in border checkpoint scenarios.
Counter-Epidemiological Projections of e-Coaching
This paper considers e-coaching at times of pandemic.
A Two-Level Interpretation of Modality in Human-Robot Dialogue
We analyze the use and interpretation of modal expressions in a corpus of situated human-robot dialogue and ask how to effectively represent these expressions for automatic learning.
Decision Support for Video-based Detection of Flu Symptoms
The development of decision support systems is a growing domain that can be applied in the area of disease control and diagnostics.
Reliability of Decision Support in Cross-spectral Biometric-enabled Systems
This paper addresses the evaluation of the performance of the decision support system that utilizes face and facial expression biometrics.
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition
Each sub-network is trained to perform the task of gesture recognition using only skeleton joints.
Ranked #6 on
Hand Gesture Recognition
on DHG-14
Assessing Risks of Biases in Cognitive Decision Support Systems
An example of such a system is a cognitive biometric-enabled security checkpoint.
Dog Identification using Soft Biometrics and Neural Networks
Without the use of "soft" biometrics, the identification rate of dogs is 78. 09% but by using a decision network to incorporate "soft" biometrics, the identification rate can achieve an accuracy of 84. 94%.
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition
In this paper, we propose to combine the power of two deep learning techniques, the convolutional neural networks (CNN) and the recurrent neural networks (RNN), for automated hand gesture recognition using both depth and skeleton data.
Ranked #7 on
Hand Gesture Recognition
on DHG-14
Risk Assessment in the Face-based Watchlist Screening in e-Border
This paper concerns with facial-based watchlist technology as a component of automated border control machines deployed in e-borders.
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition
In this paper, we aim to address the problem of heterogeneous or cross-spectral face recognition using machine learning to synthesize visual spectrum face from infrared images.
Emerging Biometrics: Deep Inference and Other Computational Intelligence
This paper aims at identifying emerging computational intelligence trends for the design and modeling of complex biometric-enabled infrastructure and systems.
A Dynamic Semantics for Causal Counterfactuals
Under the standard approach to counterfactuals, to determine the meaning of a counterfactual sentence, we consider the {``}closest{''} possible world(s) where the antecedent is true, and evaluate the consequent.
