Automatic Analysis of Arabic Online Handwriting of Patients with Parkinson's Disease-Reference-Cited by-同舟云学术

Automatic Analysis of Arabic Online Handwriting of Patients with Parkinson's Disease

Published:2019-03-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the New Challenges in Data Sciences: Acts of the Second Conference of the Moroccan Classification Society
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Author:

Aouraghe Ibtissame¹,Ammour Alae¹,Khaissidi Ghizlane¹,Mrabti Mostafa¹,Aboulem Ghita²,Belahsen Faouzi²

Affiliation:

1. Laboratory LIPI ENS, USMBA. Fez, Morocco

2. Laboratory ERMSC, FMPF, UHC Hassan II, Fez, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3314074.3314100

Reference18 articles.

1. Handwriting Process Variables Discriminating Mild Alzheimer's Disease and Mild Cognitive Impairment

2. Micrographia in Parkinson's disease

3. R.Plamondon S.N Srihari (2000). On-line and off-line handwriting recognition: a comprehensive survey. IEEE transactions on pattern analysis and machine intelligence vol 22. 10.1109/34.824821 R.Plamondon S.N Srihari (2000). On-line and off-line handwriting recognition: a comprehensive survey. IEEE transactions on pattern analysis and machine intelligence vol 22. 10.1109/34.824821

4. A new modality for quantitative evaluation of Parkinson's disease: In-air movement

5. Quantitative assessment of a therapeutic exercise in mitigating micrographia associated with Parkinson's disease

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2. A literature review of online handwriting analysis to detect Parkinson’s disease at an early stage;Multimedia Tools and Applications;2022-09-14

3. A systematic approach to diagnose Parkinson’s disease through kinematic features extracted from handwritten drawings;Journal of Reliable Intelligent Environments;2021-01-19

4. Unsupervised learning for characterization of Arabic online handwriting of Parkinson’s disease patients;SN Applied Sciences;2020-01-01