Keystroke timing analysis for individual identification in Japanese free text typing

We developed Web-based typing software in order to collect keystroke data on a LAN, and investigated several characteristics of keystroke dynamics in Japanese free text typing. We performed experiments on 112 subjects, representing three groups according to the number of letters they could type in five minutes. In this experiment, we extracted the feature indices from the keystroke timing for each single letter and for two-letter combinations composed of consonant and vowel pairs in Japanese text. Based on an identification method using a weighted Euclid distance, personal identification for the three groups was evaluated and its high performance was confirmed in proportion to the typing level of the group.