{"url":"/dataset/bb-mas","name":"BB-MAS","full_name":"Behavioural Biometrics Multi-device and multi-Activity data from Same users","description_markdown":"**BB-MAS** is a behavioural biometrics dataset. It consists of data collected from 117 subjects for typing (both fixed and free text), gait (walking, upstairs and downstairs) and touch on Desktop, Tablet and Phone. The dataset consists a total of about: 3.5 million keystroke events; 57.1 million data-points for accelerometer and gyroscope each; 1.7 million data-points for swipes; and enables future research to explore previously unexplored directions in inter-device and inter-modality biometrics. \r\n\r\nImage Source: [SU-AIS BB-MAS (SYRACUSE UNIVERSITY AND ASSURED INFORMATION SECURITY - BEHAVIORAL BIOMETRICS MULTI-DEVICE AND MULTI-ACTIVITY DATA FROM SAME USERS) DATASET](http://dx.doi.org/10.21227/rpaz-0h66)","description_withheld":null,"homepage":"http://dx.doi.org/10.21227/rpaz-0h66","introduced_date":"2019-12-19","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Insights from BB-MAS -- A Large Dataset for Typing, Gait and Swipes of the Same Person on Desktop, Tablet and Phone","first_author":null,"url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[],"tasks":[],"languages":[],"variants":["BB-MAS"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}