114 citations · 151 across the 17 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
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…