When the United States military commits to operations in foreign territories, it is important for soldiers to have the ability to understand signs accurately and in a timely manner. We propose the development of a sign understanding and translation systemcalled MATES (Multilingual Automatic… More

Phase II of the MATES project will extend our current system for road sign detection, recognition and translation on handheld devices in several novel and innovative directions. Our core application will be document triage, where the soldier obtains a gist translation or keyword profile of a… More

This Small Business Innovation Research (SBIR) Phase II research project develops the concept of using hand-held, mobile devices to link the physical world to information networks using advanced pattern and symbol recognition technology that will be deployed on the mobile device. The proposed mobile… More

This Small Business Innovation Research (SBIR) Phase II research project develops the concept of using hand-held, mobile devices to link the physical world to information networks using advanced pattern and symbol recognition technology that will be deployed on the mobile device. The proposed mobile… More

DESCRIPTION (provided by applicant): The population of aging adults in the United States is entering a period of rapid growth as baby boomers get older and life expectancy continues to increase. One problem that is significantly affecting their ability to live and function independently is low… More

DESCRIPTION (provided by applicant): Non-adherence to medication is one of the most serious problems facing health care today. Older patients often find it difficult to remember when to take which medication, and in what quantities. Since older individuals are more disposed to memory loss,… More

DESCRIPTION (provided by applicant): In this SBIR we propose to demonstrate the technical feasibility of Mobile OCR, a portable software system which makes use of existing personal devices to provide access to textual materials for the elderly or the visually impaired. The system will help these low… More

The project demonstrates the technical feasibility of smart-phone technology that utilizes a text and sign reader. A portable software module is compatible with existing personal devices and provides access to textual materials for persons with visual disabilities. Previous work on Optical… More

For this SBIR Applied Media Analysis, Inc. is teamed with researchers at the University of Buffalo (SUNY Buffalo) to address the challenges of Arabic handwriting Optical Character Recognition (AHOCR). The proposed approach leverages our previous experience developing MATES, a Multilingual Automatic… More

Applied Media Analysis, Inc (AMA) proposes to collaborate with the George Washington University Weight Management Program and Peaksware LLC to demonstrate the technical feasibility of MobileVision DietMonitor, a software-based solution which uses existing camera-enabled smart phones to provide… More