CSIA 459

Panelists, Professor William Marshall, Professor Richard Pildes, Professor Ciara Torres-Spelliscy, Professor Edward Foley, Professor Richard Hasen, Edwin Bender, Laughlin McDonald, Professor Michael Kang, Professor James Lopach, Former Montana Supreme Court Justice Jim Regnier, Former Montana Supreme Court Justice W.

Advanced technology is a competitive advantage for the United States, and it must be used if the country is to win its war on terrorism. Biometric technologies-such as iris recognition, handgeometry, finger recognition, facial recognition, and voicerecognition-have substantial potential to improve national securityby providing a means to identify and verify people in manycontexts.

Cloud Data Storage: Annotated Bibliography In this research document, the authors provide us with a study of data storage in the cloud. It focuses on the management, operation and security of data stored for long periods of time in the cloud. This item is useful for the fact that it can present several demographics to business regarding cloud computing security, data storage functionality and also cites several business surveys that can assist in organizations to make the decision to migrate to cloud computing services and data storage.

This is a journal article about an experiment regarding BCI, focusing on how feedback effects learning how to use brain controlled robotic limbs.

This is a journal article about an experiment in which participants used brainwaves to control actions in a virtual environment.

This is a journal article detailing an experiment in which wireless rechargable devices were placed in non-human primates and successfully transmitted brain wave information without harming the animals.

This an article from the CCSEIT 2012 Conference. This paper examines the practicality of identifying people through their walking gait. Just a note, you'll need to click on the PDF icon to open the document up.

This article addresses the difficulties in gait analysis due to a lack of standards.

This article addresses gait analysis from a non-lab perspective and looks at real work applicability.