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Course Description:
Computer science has played a pivotal role in developing innovative technologies to monitor patients' behaviors and behavioral phenotypes beyond the traditional laboratory or clinical environments. A profound understanding of patient behaviors has the potential to unlock a myriad of applications, including the implementation of targeted behavioral interventions to drive substantial improvements in health-related outcomes, monitoring the progress of individuals undergoing rehabilitation, and assessing the efficacy of emerging therapeutic interventions. In this course, we will delve into the application of machine learning and mobile technologies in the analysis of human movement and behavior. More specifically, the course curriculum will encompass the fundamentals of human movement analysis, mobile and wearable sensing technologies to support remote human movement monitoring, fundamentals of signal processing techniques, and state-of-the-art machine learning techniques, all with the overarching goal of improving our understanding of human behaviors and behavioral phenotypes. In addition, we will cover essential topics such as human subject study design (e.g., randomized controlled trials) and hypothesis testing (e.g., t-test, ANOVA, correlation test, etc.). These skills are crucial for their application within the realm of clinical sciences, especially when it comes to assessing the effectiveness of emerging healthcare and wellness technologies. This course contains lectures, assignments, a final project, paper presentations, and critical discussions.
Instructor: Sunghoon Ivan Lee (email: silee at cs).
Class: TBD
Eligibility Restriction:
CS graduate students only.
Credit: 3 credits.
Course Objectives:
- To understand Human Movement Science as a field of study.
- To understand the fundamentals of human movement analysis.
- To understand how mobile and wearable technologies could be used in human movement analysis.
- To understand the application of machine learning algorithms in human movement analysis.
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