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Found 20 papers, 4 papers with code
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.
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.
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.
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains
Additionally, the CT-HGR framework can perform instantaneous recognition using sEMG image spatially composed from HD-sEMG signals.
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.
LightFuse: Lightweight CNN based Dual-exposure Fusion
Embedded systems have a huge market, and utilizing DCNNs' powerful functionality into them will further reduce human intervention.
Counter-Epidemiological Projections of e-Coaching
This paper considers e-coaching at times of pandemic.
Deep Reformulated Laplacian Tone Mapping
The reformulated Laplacian pyramid always decompose a WDR image into two frequency bands where the low-frequency band is global feature-oriented, and the high-frequency band is local feature-oriented.
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
Furthermore, we show the effect of different face detection procedures on the WDRIs in our database.
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
This has resulted in a surge of interest to develop Radiomics models for analysis and interpretation of medical images.
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
On the Gap between Epidemiological Surveillance and Preparedness
We argue that such DSS shall be a cognitive dynamic system enabling the CI and human expert to work together.
Generative Adversarial Network for Radar Signal Generation
A major obstacle in radar based methods for concealed object detection on humans and seamless integration into security and access control system is the difficulty in collecting high quality radar signal data.
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
This paper proposes a methodology for combining the identification results of face and ECG data using Part A of the BioVid Heat Pain Database containing synchronized RGB-video and ECG data on 87 subjects.
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%.
Relatable Clothing: Detecting Visual Relationships between People and Clothing
Detecting visual relationships between people and clothing in an image has been a relatively unexplored problem in the field of computer vision and biometrics.
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.
