Show me how you drive and I’ll tell you who you are. Recognizing gender using automotive driving parameters

Journal
Procedia Manufacturing
Type
journal article
Date Issued
2015
Author(s)
;
Bühner, M.
DOI
Abstract
The recognition and utilization of user-specific information is of increasing importance in relation to modern recommender systems and adaptive user interfaces. Associated with this trend is the increased need for privacy protecting measures in personalized systems. This work demonstrates the possibility to recognize user-gender from automotive driving data with high accuracy in an identity protecting manner. The analysis shows that variables in relation to acceleration, gas pedal actuation as well as situation dependent driving speed are especially informative about driver gender. The results and implications are discussed in relation to possible applications in adaptive user interfaces and personalized systems.
Language
English
Keywords
gender recognition; machine learning; personalization; adaptive user interface; user behavior
human factors;
Refereed
Yes
Publisher
Eslevier
Volume
3
Start page
5587
End page
5594
Official URL
URL
Subject(s)

computer science

behavioral science

Division(s)

IBT - Institute of Be...

Eprints ID
264558
File(s)
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open.access

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