From aging to early-stage Alzheimer's: Uncovering handwriting multimodal behaviors by semi-supervised learning and sequential representation learning

• Published in: Pattern recognition Vol. 86; pp. 112 - 133
• Main Authors: El-Yacoubi, Mounîm A., Garcia-Salicetti, Sonia, Kahindo, Christian, Rigaud, Anne-Sophie, Cristancho-Lacroix, Victoria
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2019; Elsevier
• Subjects: Aging; Alzheimer’s; Computer Science; Computer Vision and Pattern Recognition; Document and Text Processing; Geriatry and gerontology; Human health and pathology; Life Sciences; Mild Cognitive Impairment; Online handwriting; Signal and Image Processing; Temporal representation learning; Unsupervised & semi-supervised learning; Aging; Online handwriting; Unsupervised & semi-supervised learning; Temporal representation learning; Mild Cognitive Impairment; Alzheimer’s; Unsupervised & Mild cognitive impairment; semi-supervised learning

•We propose a paradigm unveiling handwriting changes due to aging and Alzheimer‘s.•Our new semi-supervised learning and sequential representation learning are key.•Semi-supervised learning brings to light handwriting multimodal behavioral trends.•Our sequential representation learning uncovers tempo...