Search Results for author: Svetlana Yanushkevich

Found 20 papers, 4 papers with code

Intelligent Stress Assessment for e-Coaching

no code implementations3 Nov 2023 Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko

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.

Causal Models Applied to the Patterns of Human Migration due to Climate Change

no code implementations3 Nov 2023 Kenneth Lai, Svetlana Yanushkevich

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.

Decision Making Management

Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense

no code implementations1 Nov 2023 Rahat Islam, Kenneth Lai, Svetlana Yanushkevich

In this paper, we investigate hand gesture classifiers that rely upon the abstracted 'skeletal' data recorded using the RGB-Depth sensor.

Hand Gesture Recognition Hand-Gesture Recognition

Assessing Upper Limb Motor Function in the Immediate Post-Stroke Perioud Using Accelerometry

no code implementations1 Nov 2023 Mackenzie Wallich, Kenneth Lai, Svetlana Yanushkevich

Accelerometry has been extensively studied as an objective means of measuring upper limb function in patients post-stroke.

Binary Classification

Fairness on Synthetic Visual and Thermal Mask Images

no code implementations19 Sep 2022 Kenneth Lai, Vlad Shmerko, Svetlana Yanushkevich

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%

no code implementations3 Jan 2022 Leonardo Queiroz, Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko

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.

Face Recognition

LightFuse: Lightweight CNN based Dual-exposure Fusion

1 code implementation5 Jul 2021 Ziyi Liu, Jie Yang, Svetlana Yanushkevich, Orly Yadid-Pecht

Embedded systems have a huge market, and utilizing DCNNs' powerful functionality into them will further reduce human intervention.

Deep Reformulated Laplacian Tone Mapping

1 code implementation31 Jan 2021 Jie Yang, Ziyi Liu, Mengchen Lin, Svetlana Yanushkevich, Orly Yadid-Pecht

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.

Tone Mapping

On the Gap between Epidemiological Surveillance and Preparedness

no code implementations10 Aug 2020 Svetlana Yanushkevich, Vlad Shmerko

We argue that such DSS shall be a cognitive dynamic system enabling the CI and human expert to work together.

Decision Making

Generative Adversarial Network for Radar Signal Generation

no code implementations7 Aug 2020 Thomas Truong, Svetlana Yanushkevich

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.

Generative Adversarial Network Object +2

Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data

no code implementations7 Aug 2020 Thomas Truong, Jonathan Graf, Svetlana Yanushkevich

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.

Face Identification Person Identification

Dog Identification using Soft Biometrics and Neural Networks

no code implementations22 Jul 2020 Kenneth Lai, Xinyuan Tu, Svetlana Yanushkevich

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%.

Transfer Learning

Relatable Clothing: Detecting Visual Relationships between People and Clothing

1 code implementation20 Jul 2020 Thomas Truong, Svetlana Yanushkevich

Detecting visual relationships between people and clothing in an image has been a relatively unexplored problem in the field of computer vision and biometrics.

Classification General Classification

Emerging Biometrics: Deep Inference and Other Computational Intelligence

no code implementations22 Jun 2020 Svetlana Yanushkevich, Shawn Eastwood, Kenneth Lai, Vlad Shmerko

This paper aims at identifying emerging computational intelligence trends for the design and modeling of complex biometric-enabled infrastructure and systems.

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