activity
20202023
most citedCNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition

114 citations · 203 across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

13 papers · 1 filter

cs.CY2020★ 2 cited

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020★ 14 cited

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…

cs.CY2020★ 18 cited

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…

cs.CV2020★ 18 cited

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…

cs.CV2020★ 7 cited

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…

cs.CV2020★ 20 cited

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…

cs.CV2020★ 114 cited

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020★ 5 cited

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…

cs.CV2020

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…