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The authors are engaged in on-going research on the functionality of Electronic Health Records (EHR) software, and challenges doctors and nurse practitioners face when they migrate from paper to electronic-based record keeping. Our goal is to assist small practices in the adoption of EHR software and in the optimization of their clinical and practice management functions. In this paper, we discuss...
In this paper, we propose an intelligent surveillance system which can detect human, recognize certain postures and activities, and send out informing SMS messages when abnormal activities are detected. Nine static postures can be recognized using universal eigenspace technique and projection histogram matching method. After recognizing static postures, Hidden Markov Models are used to recognize human...
For the past 20 years, Seattle University's Master of Software Engineering program has incorporated industry sponsored projects into its capstone course sequence. Starting in 2005 the program was expanded to leverage projects that would cut across the themes presented in various courses to enable students to experience continuity and a common pedagogical application in various topics. The projects...
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