Department of Computer Science: MSc Thesis Presentation
Matti Mäki-Kihniä will present his MSc thesis "Gender classification based on touch biometrics" on Tuesday 20 April at 16:00 via Zoom.
When
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Where
Event language(s)
English
Gender classification based on touch biometrics
Author: Matti Mäki-Kihniä
Supervisor: Sanna Suoranta
Date: Tuesday 20 April 2021
Time: 16:00
Zoom: https://aalto.zoom.us/j/69943801958 (passcode: 365778)
The Android operating system offers fine-grained APIs to capture users' touch events, the exposed touch data has been used for user authentication as well as in classification of different soft-biometrics. This thesis analyses whether data gathered from a 2048 game can be used for gender classification. A dataset of 260,000 touch gestures from 66 different users is analyzed and the results compared to related research.
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