There is a rising interest in non-touch human-computer interaction and enhanced user authentication. We think that the hand gesture will play an important role in non-touch HCI and that it will be requested to reinforce user authentication associated with the hand. In this paper, we propose a novel method to authenticate each user by recognizing his/her hand with Leap motion. We get the reference and test data about three dimensional positions of finger joints by letting users put his/her hand over Leap motion. We identify and verify a user by comparing the intra-digit and inter-digit feature values calculated from the three dimensional coordinates of finger joints. Twenty persons have participated as examinees in our experiments and we have measured the hand of each user 30 times. The experimental results show that we can get the identification rate 84.65% based on only distances between joints as intra-digit features. This implies that hand biometrics such as distances and angles between finger joints can be used to authenticate the user who interacts with computing devices using hand gestures.

User Authentication using Leap Motion

Data security is much more important issue now a day; because hacker’s are much more intelligent. Identity theft is a crime in which hackers does the unauthorized activity. Hackers can steal the identity of user by using credential things such as password, username. User verification technique provide security to the user in terms if their username and password or also by continuously validating the identity of logged-on user and Continuous verification done through users behavioral and physiological characteristics. We introduce one method that does continuous verification of user according to the interaction with mouse. Their search contribution is in three parts. First, user verification is based on result of individual mouse action and the methods which aggregate mouse action. Second we propose hierarchy of mouse action in which features are extracted. Last, we take decision about to continue the log in or log out the logged user.

Pooja Ganghi

Papers

Direct Indirect Human Computer Interaction Based Biometrics