Assessing visual attributes of handwriting for prediction of neurological disorders—A case study on Parkinson’s disease

Momina Moetesum; Imran Siddiqi; Nicole Vincent; Florence Cloppet

doi:10.1016/j.patrec.2018.04.008

Journal Articles Pattern Recognition Letters Year : 2019

Assessing visual attributes of handwriting for prediction of neurological disorders—A case study on Parkinson’s disease

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1

Momina Moetesum

Function : Author

Imran Siddiqi

Function : Author
PersonId : 763060
ORCID : 0000-0002-7203-5195

Nicole Vincent

Function : Author
PersonId : 756239
ORCID : 0000-0002-0151-0622
IdRef : 03424350X

Florence Cloppet

Function : Author
PersonId : 1134434

Laboratoire d'Informatique Paris Descartes

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Computer Science [cs]

Florence Cloppet : Connect in order to contact the contributor

https://hal-univ-paris.archives-ouvertes.fr/hal-03667224

Submitted on : Friday, May 13, 2022-11:14:46 AM

Last modification on : Friday, August 5, 2022-11:57:58 AM

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hal-03667224 , version 1 (13-05-2022)

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HAL Id : hal-03667224 , version 1
DOI : 10.1016/j.patrec.2018.04.008

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Momina Moetesum, Imran Siddiqi, Nicole Vincent, Florence Cloppet. Assessing visual attributes of handwriting for prediction of neurological disorders—A case study on Parkinson’s disease. Pattern Recognition Letters, 2019, 121, pp.19-27. ⟨10.1016/j.patrec.2018.04.008⟩. ⟨hal-03667224⟩

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Assessing visual attributes of handwriting for prediction of neurological disorders—A case study on Parkinson’s disease

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