Deep Convolutional Neural Network for Parkinson’s Disease Based Handwriting Screening
2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020In 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, 2020In 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, 2018The 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
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A literature review of online handwriting analysis to detect Parkinson’s disease at an early stage
Multimedia tools and applications, 2022Ibtissame Aouraghe +2 more
semanticscholar +1 more source
mmWrite: Passive Handwriting Tracking Using a Single Millimeter-Wave Radio
IEEE Internet of Things Journal, 2021Sai 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, 2000R. 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, 1992L. Xu, A. Krzyżak, C. Suen
semanticscholar +1 more source
Handwriting-based gender and handedness classification using convolutional neural networks
Multimedia tools and applications, 2021Mina Rahmanian, M. A. Shayegan
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A method for automatic classification of gender based on text- independent handwriting
Multimedia tools and applications, 2021Payal Maken, Abhishek Gupta
semanticscholar +1 more source
Detection of Parkinson’s disease from handwriting using deep learning: a comparative study
Evolutionary Intelligence, 2020C. Taleb +3 more
semanticscholar +1 more source

