|Résumé||Keystroke Dynamics is a biometric modality which attempts to recognize users by their typing rhythm. This is usually done by computing features over the pressing and releasing instants of each typed key on the keyboard. Most of current literature considers this biometric technology in a static context. In such a context, a model of the user is generated and it is not updated over time. However, it has been reported that the typing behaviour changes over time, suggesting that the user model (template) should be continuously updated. There are some work on the literature studying the usage of adaptive biometrics/template update methods on keystroke dynamics. Nevertheless, they mainly consider only positively (legitimate) classified examples for adaptation/update. A new proposed approach, called Enhanced Template Update, also involves the usage of information from negatively classified examples (impostor). The presentation will show a brief overview of the keystroke dynamics field along with some basic adaptive biometric methods. Afterwards, Enhanced Template Update will be introduced and preliminary results will be discussed.