114 citations · 253 across the 32 of their papers we have counts for
32 papers
After-Stroke Arm Paresis Detection using Kinematic Data
Kenneth Lai, Mohammed Almekhlafi, Svetlana Yanushkevich
This paper presents an approach for detecting unilateral arm paralysis/weakness using kinematic data. Our method employs temporal convolution networks and recurrent neural networks…
Causal Models Applied to the Patterns of Human Migration due to Climate Change
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…
Intelligent Stress Assessment for e-Coaching
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' aff…
Assessing Upper Limb Motor Function in the Immediate Post-Stroke Perioud Using Accelerometry
Mackenzie Wallich, Kenneth Lai, Svetlana Yanushkevich
Accelerometry has been extensively studied as an objective means of measuring upper limb function in patients post-stroke. The objective of this paper is to determine whether the a…
Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense
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. We focus on 'skeletal' data represented by…
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains
Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani +3
Designing efficient and labor-saving prosthetic hands requires powerful hand gesture recognition algorithms that can achieve high accuracy with limited complexity and latency. In t…
Stress Propagation in Human-Robot Teams Based on Computational Logic Model
Peter Shmerko, Yumi Iwashita, Adrian Stoica +1
Mission teams are exposed to the emotional toll of life and death decisions. These are small groups of specially trained people supported by intelligent machines for dealing with s…
Fairness on Synthetic Visual and Thermal Mask Images
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. Using the SpeakingFace and Thermal-Mask dataset,…
Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%
Leonardo Queiroz, Kenneth Lai, Svetlana Yanushkevich +1
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 perfor…
LightFuse: Lightweight CNN based Dual-exposure Fusion
Ziyi Liu, Jie Yang, Svetlana Yanushkevich +1
Deep convolutional neural networks (DCNNs) have aided high dynamic range (HDR) imaging recently and have received a lot of attention. The quality of DCNN-generated HDR images has o…
Counter-Epidemiological Projections of e-Coaching
Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko
This paper considers e-coaching at times of pandemic. It utilizes the Emergency Management Cycle (EMC), a core doctrine for managing disasters. The EMC dimensions provide a useful…
Deep Reformulated Laplacian Tone Mapping
Jie Yang, Ziyi Liu, Mengchen Lin +2
Wide dynamic range (WDR) images contain more scene details and contrast when compared to common images. However, it requires tone mapping to process the pixel values in order to di…
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
Ziyi Liu, Jie Yang, Mengchen Lin +3
Currently, face detection approaches focus on facial information by varying specific parameters including pose, occlusion, lighting, background, race, and gender. These studies onl…
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
Arash Mohammadi, Yingxu Wang, Nastaran Enshaei +7
The novel Coronavirus disease, COVID-19, has rapidly and abruptly changed the world as we knew in 2020. It becomes the most unprecedent challenge to analytic epidemiology in genera…
Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt
Kenneth Lai, Svetlana N. Yanushkevich
Assessment of risks of pandemics to communities and workplaces requires an intelligent decision support system (DSS). The core of such DSS must be based on machine reasoning techni…
Decision Support for Video-based Detection of Flu Symptoms
Kenneth Lai, Svetlana N. Yanushkevich
The development of decision support systems is a growing domain that can be applied in the area of disease control and diagnostics. Using video-based surveillance data, skeleton fe…
Reliability of Decision Support in Cross-spectral Biometric-enabled Systems
Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko
This paper addresses the evaluation of the performance of the decision support system that utilizes face and facial expression biometrics. The evaluation criteria include risk of e…
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition
Kenneth Lai, Svetlana Yanushkevich
The focus of this paper is dynamic gesture recognition in the context of the interaction between humans and machines. We propose a model consisting of two sub-networks, a transform…
Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support
Kenneth Lai, Helder C. R. Oliveira, Ming Hou +2
Biometrics and biometric-enabled decision support systems (DSS) have become a mandatory part of complex dynamic systems such as security checkpoints, personal health monitoring sys…
On the Gap between Epidemiological Surveillance and Preparedness
Svetlana Yanushkevich, Vlad Shmerko
Contemporary Epidemiological Surveillance (ES) relies heavily on data analytics. These analytics are critical input for pandemics preparedness networks; however, this input is not…
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
Thomas Truong, Jonathan Graf, Svetlana Yanushkevich
Uni-modal identification systems are vulnerable to errors in sensor data collection and are therefore more likely to misidentify subjects. For instance, relying on data solely from…
Generative Adversarial Network for Radar Signal Generation
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 hi…
Assessing Risks of Biases in Cognitive Decision Support Systems
Kenneth Lai, Helder C. R. Oliveira, Ming Hou +2
Recognizing, assessing, countering, and mitigating the biases of different nature from heterogeneous sources is a critical problem in designing a cognitive Decision Support System…
Information Fusion on Belief Networks
Shawn C. Eastwood, Svetlana N. Yanushkevich
This paper will focus on the process of 'fusing' several observations or models of uncertainty into a single resultant model. Many existing approaches to fusion use subjective quan…