Results 261 to 270 of about 48,373,504 (334)
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LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis

arXiv.org, 2023
Background and objectives: Dynamic handwriting analysis, due to its non-invasive and readily accessible nature, has recently emerged as a vital adjunctive method for the early diagnosis of Parkinson's disease.
Xuechao Wang   +6 more
semanticscholar   +1 more source

Detection of Parkinson's Disease using Machine Learning Algorithms and Handwriting Analysis

Journal of data mining and management, 2023
Parkinson's Disease is a progressive neurodegenerative disorder of movement that affects your ability to control movement. This disease can prove fatal if not detected at an earlier stage.
N. Ranjan, G. Mate, M. Bembde
semanticscholar   +1 more source

Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues

Artif. Intell. Medicine, 2021
In the last decades, early disease identification through non-invasive and automatic methodologies has gathered increasing interest from the scientific community.
Antonio Parziale   +3 more
semanticscholar   +1 more source

Handwriting Analysis for Personality Trait Features Identification using CNN

2022 International Conference on Data Science and Its Applications (ICoDSA), 2022
Handwriting analysis is an approach to get information through the handwriting. It extremely useful information, for instance in personality traits identification. The information came from the feature extracted from the handwriting.
Derry Alamsyah   +3 more
semanticscholar   +1 more source

Synthesis for handwriting analysis

Pattern Recognition Letters, 2005
Recently a large number of studies has been published in the area of Fractal Analysis. In this paper we review briefly the IFS (Iterated Function System) theory, and we show how this theoretical tool leads to new applications in Pattern Recognition and more precisely in the analysis of handwritten texts.
Nicole Vincent   +2 more
openaire   +1 more source

Image-based Handwriting Analysis for Disease Diagnosis

Cybersecurity and Cyberforensics Conference, 2022
Handwriting movement is an activity dominated and controlled by human advanced nervous system, which depends on coordination and cooperation of multiple parts of the whole body, and the analysis of handwriting movement has been applied in many fields. In
Jiao Meng   +5 more
semanticscholar   +1 more source

Personality Traits Identification Through Handwriting Analysis

Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2021
Personality traits are of paramount importance in identifying the human’s behavior. They represent a useful information source for forensic control, recruitment profiling, medical symptoms, and other applications.
T. Mekhaznia, C. Djeddi, Sobhan Sarkar
semanticscholar   +1 more source

Computational Handwriting Analysis of Ancient Hebrew Inscriptions—A Survey

IEEE BITS the Information Theory Magazine, 2022
Ancient texts are unique evidence providing a glimpse into the thoughts, day-to-day life, and culture of people of long-gone eras. Paleography, the study of writing, aims at documenting the inscriptions, transliterating the texts, reconstructing their ...
Shira Faigenbaum-Golovin   +2 more
semanticscholar   +1 more source

Gender detection and identifying one's handwriting with handwriting analysis

Expert Systems with Applications, 2017
This study was designed to detect gender through writer's handwriting.The data set was formed through collecting 80 participants handwriting.133 attributes were tested with J48 and ID3 algorithms.Gender detection through handwriting reached 93.75% success rate.
Murat Topaloglu, Seher Ekmekci
openaire   +1 more source

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