no code implementations • 3 Nov 2023 • Kenneth Lai, Mohammed Almekhlafi, Svetlana Yanushkevich
This paper presents an approach for detecting unilateral arm paralysis/weakness using kinematic data.
no code implementations • 3 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.
no code implementations • 3 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.
no code implementations • 1 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.
no code implementations • 1 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.
1 code implementation • 29 Nov 2022 • Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, S. Farokh Atashzar, Svetlana Yanushkevich, Arash Mohammadi
Additionally, the CT-HGR framework can perform instantaneous recognition using sEMG image spatially composed from HD-sEMG signals.
no code implementations • 19 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.
no code implementations • 3 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.
1 code implementation • 5 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.
no code implementations • 24 May 2021 • Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko
This paper considers e-coaching at times of pandemic.
1 code implementation • 31 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.
no code implementations • 11 Jan 2021 • Ziyi Liu, Jie Yang, Mengchen Lin, Kenneth Kam Fai Lai, Svetlana Yanushkevich, Orly Yadid-Pecht
Furthermore, we show the effect of different face detection procedures on the WDRIs in our database.
no code implementations • 28 Dec 2020 • Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder C. R. Oliveira, Svetlana Yanushkevich, Konstantinos N. Plataniotis
This has resulted in a surge of interest to develop Radiomics models for analysis and interpretation of medical images.
no code implementations • 13 Aug 2020 • Kenneth Lai, Svetlana Yanushkevich
Each sub-network is trained to perform the task of gesture recognition using only skeleton joints.
Ranked #6 on Hand Gesture Recognition on DHG-14
no code implementations • 10 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.
no code implementations • 7 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.
no code implementations • 7 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.
no code implementations • 22 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%.
1 code implementation • 20 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.
no code implementations • 22 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.