Online Signature Analysis for Characterizing Early Stage Alzheimer’s Disease: A Feasibility Study

• Published in: Entropy (Basel, Switzerland) Vol. 21; no. 10; pp. 956 - 1 - 956-12
• Main Authors: Wang, Zelong, Abazid, Majd, Houmani, Nesma, Garcia-Salicetti, Sonia, Rigaud, Anne-Sophie
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2019; MDPI
• Subjects: Age; Altitude; Alzheimer's disease; Automation; Biometrics; classification; Datasets; Digitization; Discriminant analysis; Engineering Sciences; Entropy; Feasibility studies; Handwriting; Metadata; online signature analysis; Parkinson's disease; sample entropy; Signal and Image processing; Signature analysis; Signatures; Support vector machines; Wrist; Sample entropy; Alzheimer’s disease; Online signature analysis; Classification

We aimed to explore the online signature modality for characterizing early-stage Alzheimer’s disease (AD). A few studies have explored this modality, whereas many on online handwriting have been published. We focused on the analysis of raw temporal functions acquired by the digitizer on signatures p...