This proposal describes plans to enhance Viocare[unreadable]s Mobile Food Intake Visual and Voice Recognizer (FIVR) System. FIVR, an active Genes, Environment and Health Initiative (GEI) project, is a novel combination of innovative technologies including computer vision and speech recognition to measure dietary intake using a mobile phone. Version 1 of FIVR uses a mobile phone[unreadable]s embedded camera to capture a short video of food to be consumed. The food to be eaten is annotated verbally on the mobile phone by the user. These video and audio files are sent to a backend server for real-time food recognition and portion size measurement through speech recognition and image analysis. This project will develop specifications to extend FIVR[unreadable]s capabilities to standardize, store, and analyze more diverse food images, such as 3D photos;to collect other food data;to enhance the analysis tools;and for interfaces to a variety of clinical/research systems. The FIVR Version 2 functional prototype will be developed to use 3D dietary images as input. A final evaluation of the FIVR V2 prototype will be conducted to assess the accuracy and feasibility of the 3D image diet capture with a group of 9 subjects in a controlled feeding study.