eXplainable AI(XAI) for Touch-Stroke Biometrics: Insights from SHAP

Soodamani Ramalingam; Dominic Lovric; Ooi Shih  Yin; Richard Guest; Moises  Diaz; Fabio Garcia; David Lawunmi

doi:10.1109/ICCST63435.2025.11293940

eXplainable AI(XAI) for Touch-Stroke Biometrics: Insights from SHAP

Soodamani Ramalingam
, Dominic Lovric
, Ooi Shih Yin
, Richard Guest
, Moises Diaz
, Fabio Garcia
, David Lawunmi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Downloads (Pure)

Abstract

This paper presents an XAI-based framework for touch-stroke behavioural biometrics. Initially, a Random Forest classifier is trained to perform user classification, and feature importances are derived from the model's internal metrics. Subsequently, SHAP explanations are applied to obtain model-agnostic feature attributions, in both portrait and landscape modes. A comparison between the two approaches is then conducted to identify consistent patterns of feature relevance, informing the decision to exclude redundant or less influential features. The findings underscore the potential of integrating XAI into behavioural biometrics to enhance transparency and user trust.

Original language	English
Title of host publication	The 57th Annual ICCST Proceedings
Publisher	IEEE Xplore Digital Library
Pages	1
Number of pages	6
ISBN (Electronic)	9798331523206
ISBN (Print)	9798331523190
DOIs	https://doi.org/10.1109/ICCST63435.2025.11293940
Publication status	Published - 18 Dec 2025
Event	IEEE International carnaham Conference on Security Technology - University of Texas at San Antonio (UTSA) School of Data Science, San Antonio, Texas, Texas, United States Duration: 14 Oct 2025 → 17 Oct 2025 https://site.ieee.org/iccst/2025-san-antonio-texas-usa/

Conference

Conference	IEEE International carnaham Conference on Security Technology
Abbreviated title	2025 ICCST
Country/Territory	United States
City	Texas
Period	14/10/25 → 17/10/25
Internet address	https://site.ieee.org/iccst/2025-san-antonio-texas-usa/

Keywords

Explainable AI (XAI)
touch-stroke dynamics
biometrics
SHAP

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10.1109/ICCST63435.2025.11293940Licence: Unspecified

Accepted_Version
© 2025 IEEE. This is the accepted manuscript version of an article which has been published in final form at https://10.1109/ICCST63435.2025.11293940
Accepted author manuscript, 786 KBLicence: CC BY

Cite this

@inproceedings{897b2bd4be3e49b2bfbd78724ee69e55,

title = "eXplainable AI(XAI) for Touch-Stroke Biometrics: Insights from SHAP",

abstract = "This paper presents an XAI-based framework for touch-stroke behavioural biometrics. Initially, a Random Forest classifier is trained to perform user classification, and feature importances are derived from the model's internal metrics. Subsequently, SHAP explanations are applied to obtain model-agnostic feature attributions, in both portrait and landscape modes. A comparison between the two approaches is then conducted to identify consistent patterns of feature relevance, informing the decision to exclude redundant or less influential features. The findings underscore the potential of integrating XAI into behavioural biometrics to enhance transparency and user trust.",

keywords = "Explainable AI (XAI), touch-stroke dynamics, biometrics, SHAP",

author = "Soodamani Ramalingam and Dominic Lovric and Yin, \{Ooi Shih\} and Richard Guest and Moises Diaz and Fabio Garcia and David Lawunmi",

note = "{\textcopyright} 2025 IEEE. This is the accepted manuscript version of an article which has been published in final form at https://10.1109/ICCST63435.2025.11293940 ; IEEE International carnaham Conference on Security Technology, 2025 ICCST ; Conference date: 14-10-2025 Through 17-10-2025",

year = "2025",

month = dec,

day = "18",

doi = "10.1109/ICCST63435.2025.11293940",

language = "English",

isbn = "9798331523190",

pages = "1",

booktitle = "The 57th Annual ICCST Proceedings",

publisher = "IEEE Xplore Digital Library",

url = "https://site.ieee.org/iccst/2025-san-antonio-texas-usa/",

}

Ramalingam, S, Lovric, D, Yin, OS, Guest, R, Diaz, M, Garcia, F & Lawunmi, D 2025, eXplainable AI(XAI) for Touch-Stroke Biometrics: Insights from SHAP. in The 57th Annual ICCST Proceedings. IEEE Xplore Digital Library, pp. 1, IEEE International carnaham Conference on Security Technology, Texas, Texas, United States, 14/10/25. https://doi.org/10.1109/ICCST63435.2025.11293940

TY - GEN

T1 - eXplainable AI(XAI) for Touch-Stroke Biometrics: Insights from SHAP

AU - Ramalingam, Soodamani

AU - Lovric, Dominic

AU - Yin, Ooi Shih

AU - Guest, Richard

AU - Diaz, Moises

AU - Garcia, Fabio

AU - Lawunmi, David

PY - 2025/12/18

Y1 - 2025/12/18

N2 - This paper presents an XAI-based framework for touch-stroke behavioural biometrics. Initially, a Random Forest classifier is trained to perform user classification, and feature importances are derived from the model's internal metrics. Subsequently, SHAP explanations are applied to obtain model-agnostic feature attributions, in both portrait and landscape modes. A comparison between the two approaches is then conducted to identify consistent patterns of feature relevance, informing the decision to exclude redundant or less influential features. The findings underscore the potential of integrating XAI into behavioural biometrics to enhance transparency and user trust.

AB - This paper presents an XAI-based framework for touch-stroke behavioural biometrics. Initially, a Random Forest classifier is trained to perform user classification, and feature importances are derived from the model's internal metrics. Subsequently, SHAP explanations are applied to obtain model-agnostic feature attributions, in both portrait and landscape modes. A comparison between the two approaches is then conducted to identify consistent patterns of feature relevance, informing the decision to exclude redundant or less influential features. The findings underscore the potential of integrating XAI into behavioural biometrics to enhance transparency and user trust.

KW - Explainable AI (XAI)

KW - touch-stroke dynamics

KW - biometrics

KW - SHAP

U2 - 10.1109/ICCST63435.2025.11293940

DO - 10.1109/ICCST63435.2025.11293940

M3 - Conference contribution

SN - 9798331523190

SP - 1

BT - The 57th Annual ICCST Proceedings

PB - IEEE Xplore Digital Library

T2 - IEEE International carnaham Conference on Security Technology

Y2 - 14 October 2025 through 17 October 2025

ER -

eXplainable AI(XAI) for Touch-Stroke Biometrics: Insights from SHAP

Abstract

Conference

Keywords

Access to Document

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Cite this