There have been research activities in the area of keystroke dynamics biometrics on physical keyboards for desktop computers or conventional mobile phones undertaken in the past three decades. However, in terms of touch dynamics biometrics on virtual keyboards, there has been little published work. Particularly, there is a lack of an extensive survey and evaluation of the methodologies adopted in the area. In this paper, I would like to present a solution to analytic PC activity log based on keystroke dynamics biometrics on physical keyboards for desktop computers. The proposed system will analysis desktop computer activity to detect anomalies, and then make recommendation for user including warning, lock computer, statistics and make reports to user.