114 citations · 203 across the 22 of their papers we have counts for
22 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…
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…
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…
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…
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…
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…
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition
Kenneth Lai, Svetlana N. Yanushkevich
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. The…
Dog Identification using Soft Biometrics and Neural Networks
Kenneth Lai, Xinyuan Tu, Svetlana Yanushkevich
This paper addresses the problem of biometric identification of animals, specifically dogs. We apply advanced machine learning models such as deep neural network on the photographs…
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition
Kenneth Lai, Svetlana N. Yanushkevich
Human activity and gesture recognition is an important component of rapidly growing domain of ambient intelligence, in particular in assisting living and smart homes. In this paper…
Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy
K. Lai, S. N. Yanushkevich
This paper addresses the facial biometric-enabled watchlist technology in which risk detectors are mandatory mechanisms for early detection of threats, as well as for avoiding offe…
Risk Assessment in the Face-based Watchlist Screening in e-Border
Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko
This paper concerns with facial-based watchlist technology as a component of automated border control machines deployed in e-borders. The key task of the watchlist technology is to…
Multi-Spectral Facial Biometrics in Access Control
K. Lai, S. Samoil, S. N. Yanushkevich
This study demonstrates how facial biometrics, acquired using multi-spectral sensors, such as RGB, depth, and infrared, assist the data accumulation in the process of authorizing u…
Emerging Biometrics: Deep Inference and Other Computational Intelligence
Svetlana Yanushkevich, Shawn Eastwood, Kenneth Lai +1
This paper aims at identifying emerging computational intelligence trends for the design and modeling of complex biometric-enabled infrastructure and systems. Biometric-enabled sys…