New online in-air signature recognition dataset and embodied cognition inspired feature selection

New online in-air signature recognition dataset and embodied cognition inspired feature selection

Abstract In this study, we introduce MIAS-427, one of the largest and most comprehensive inertial datasets for in-air signature recognition, comprising 4270 multivariate signals. This dataset addresses a critical gap in the field by providing a robust foundation for advancing research in cognitive c...

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Bibliographic Details
Main Authors: Yuheng Guo, Yuhan Zhou, Yifan Ge, Junwei Yu, Gen Li, Hiroyuki Sato
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Online signature
Dataset
Feature selection
Deep learning
Inertial data
Online Access:https://doi.org/10.1038/s41598-025-03917-5
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https://doi.org/10.1038/s41598-025-03917-5

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