Work

Touch-based interaction dataset for user behavioral analysis in mobile devices

Year: 2025

Type: data-paper

Abstract: scenario designated for authentication purposes. The dataset includes a wide range of touch gestures, from single-touch events (e.g., tap, swipe or pan) to multi-touch interactions (e.g., pinch or rotate), which can be utilized to extract individual behavioral patterns from user-device interactions, thus supporting further research. In particular, the data acquisition process is thoroughly described, so that raw data can be appropriately understood, as well as those features that were extracted to carry out our own research. Apart from the data being available on a public repository, we also include some base code that can help other researchers to handle raw data and extract the aforementioned features, so that they can adapt or even extend them according to their own needs.

Source: Data in Brief

DOI: 10.1016/j.dib.2025.112323

Authors: Daniel Garabato, Mario Casado, Carlos Dafonte, Manuel F. López-Vizcaíno, Marco A. Álvarez, Francisco J. Nóvoa

Institution: Universidade da Coruña

Language: English

Topic: User Authentication and Security Systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,220