Handwriting watcher: A mechanism for smartwatch-driven handwriting authentication

Isaac Griswold-Steiner, Richard Matovu, Abdul Serwadda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Despite decades of research on automated handwriting authentication, there is yet to emerge an automated handwriting authentication application that breaks into the mainstream. In this paper, we argue that the burgeoning wearables market holds the key to a practical handwriting authentication app. With potential applications in online education, standardized testing and mobile banking, we present Handwriting Watcher, a mechanism which leverages a wrist-worn sensor-enabled device to authenticate a user's free handwriting. Through experiments capturing a wide range of writing scenarios, we show Handwriting Watcher attains mean error rates as low as 6.56% across the population. Our work represents a promising step towards a market-ready, generalized handwriting authentication system.

Original languageEnglish
Title of host publicationIEEE International Joint Conference on Biometrics, IJCB 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages216-224
Number of pages9
ISBN (Electronic)9781538611241
DOIs
StatePublished - Jan 29 2018
Event2017 IEEE International Joint Conference on Biometrics, IJCB 2017 - Denver, United States
Duration: Oct 1 2017Oct 4 2017

Publication series

NameIEEE International Joint Conference on Biometrics, IJCB 2017
Volume2018-January

Conference

Conference2017 IEEE International Joint Conference on Biometrics, IJCB 2017
CountryUnited States
CityDenver
Period10/1/1710/4/17

Fingerprint Dive into the research topics of 'Handwriting watcher: A mechanism for smartwatch-driven handwriting authentication'. Together they form a unique fingerprint.

  • Cite this

    Griswold-Steiner, I., Matovu, R., & Serwadda, A. (2018). Handwriting watcher: A mechanism for smartwatch-driven handwriting authentication. In IEEE International Joint Conference on Biometrics, IJCB 2017 (pp. 216-224). (IEEE International Joint Conference on Biometrics, IJCB 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BTAS.2017.8272701