Walker, T. ColtonToda, Christopher AskaCornett, Christopher P.Robohn, Benjamin F.2016-05-092016-05-092016-05-08http://hdl.handle.net/10919/70939The submission includes the source code for Breathe-EZ, our Final Report and our Final Presentation. Information regarding the structure and content of the zip file can be found in section 3.1 of the Final Report.The breathalyzer application is part of an ongoing research project Mikhail Koffarnus is pursuing as a research professor at the Addiction Recovery Research Center (ARRC). Participants, which may number in the hundreds, will participate in an alcohol addiction recovery program which includes random breathalyzer tests. For each test a participant passes, they will be monetarily rewarded. The amount they are rewarded will increase with each successive passed test. The hope is that continued clean tests incentivized by monetary rewards will aid and motivate users on their road to recovery. In order for the ARRC to be able to identify participants, the application must take pictures. The camera is set to take three photos of the participant as they use the BACtrack breathalyzer. By taking these pictures during the measurement process, the application ensures that the BACtrack device will be in the picture with the user. The application will then store the picture that it finds has the highest confidence of face detection as determined by an algorithm. This picture is important because it will help the ARRC confirm the user’s identity, keeping users from easily exploiting the system by having a sober friend blow for them.en-USIn CopyrightAndroidARRCCS 4624BACtrackBreathe-EZNIHNational Institutes of HealthPresentation