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Deep Convolutional Neural Network for Parkinson’s Disease Based Handwriting Screening

2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
In this paper, the use of a fine-tuned VGG-19 for screening Parkinson’s Disease (PD) based on a Kaggle handwriting dataset is investigated and experimented. The dataset including 102 wave and 102 spiral handwriting patterns was pre-processed where images
M. Shaban
semanticscholar   +1 more source

WiReader: Adaptive Air Handwriting Recognition Based on Commercial WiFi Signal

IEEE Internet of Things Journal, 2020
In recent years, with the rapid development of the Internet-of-Things (IoT) technologies, many intelligent sensing applications have emerged, which realize contactless sensing and human–computer interaction (HCI).
Zhengxin Guo   +4 more
semanticscholar   +1 more source

Improving CNN-RNN Hybrid Networks for Handwriting Recognition

International Conference on Frontiers in Handwriting Recognition, 2018
The success of deep learning based models have centered around recent architectures and the availability of large scale annotated data. In this work, we explore these two factors systematically for improving handwritten recognition for scanned off-line ...
Kartik Dutta   +6 more
semanticscholar   +1 more source

A literature review of online handwriting analysis to detect Parkinson’s disease at an early stage

Multimedia tools and applications, 2022
Ibtissame Aouraghe   +2 more
semanticscholar   +1 more source

mmWrite: Passive Handwriting Tracking Using a Single Millimeter-Wave Radio

IEEE Internet of Things Journal, 2021
Sai Deepika Regani   +4 more
semanticscholar   +1 more source

On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
R. Plamondon, S. Srihari
semanticscholar   +1 more source

Methods of combining multiple classifiers and their applications to handwriting recognition

IEEE Transactions on Systems, Man and Cybernetics, 1992
L. Xu, A. Krzyżak, C. Suen
semanticscholar   +1 more source

Handwriting-based gender and handedness classification using convolutional neural networks

Multimedia tools and applications, 2021
Mina Rahmanian, M. A. Shayegan
semanticscholar   +1 more source

A method for automatic classification of gender based on text- independent handwriting

Multimedia tools and applications, 2021
Payal Maken, Abhishek Gupta
semanticscholar   +1 more source

Detection of Parkinson’s disease from handwriting using deep learning: a comparative study

Evolutionary Intelligence, 2020
C. Taleb   +3 more
semanticscholar   +1 more source

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