User Identification based on Touch Dynamics
Chapter, Peer reviewed
Permanent lenke
https://hdl.handle.net/10642/1472Utgivelsesdato
2012-09Metadata
Vis full innførselSamlinger
Originalversjon
Sandnes, F. E., & Zhang, X. (2012, September). User Identification Based on Touch Dynamics. In Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on (pp. 256-263). IEEE. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6332006&tag=1Sammendrag
Touch interaction has quickly become the de-facto
means of interacting with handheld devices due to its perceived
attractiveness and low hardware cost. This study proposes a
strategy for identifying users based on touch dynamics. Users'
touch behavior is monitored and several unique features are
extracted including left versus right hand dominance, one-
handed versus bimanual operation, stroke size, stroke timing,
symmetry, stroke speed and timing regularity. An experiment
involving 20 users reveals that
the strategy is successful in
identifying users and their traits according to the touch
dynamics. The results can be used for automatic user interface
customization. However, more research is needed before touch
characteristics can be applied to increasing the security of
handheld touch-based devices.