Tag-free Indoor Position Tracking
A passive tag-free approach to localization and activity monitoring
BS, MS, or PhD
Up to 2 years
The goal of this project is to develop a new approach to passive tag-free localization and activity monitoring in support of seniors with Alzheimer’s disease. While most in-home monitoring systems require a person to carry a device or tag, our approach requires no such tag, and works unobtrusively in the background. The method enables accurate indoor localization while also estimating mobility and other measures of activity, including monitoring interactions with a caregiver. Studies will take place in labs at OHSU and in the homes of
The student will assist in setting up hardware and performing data collections. Research will involve data analysis, feature extraction, and the design of classifiers to perform indoor tracking and activity monitoring.
Prior classwork in signal processing, statistics, and experience in MATLAB and C/C++ programming. Additional background in machine learning, pattern classification, wireless and embedded systems is also desired.
In one e-mail to Eric Wan, please include the following:
- Attach a resume and list of classes taken (pdf or txt format).
- In the body of the e-mail, briefly provide the following:
- List current year of study and degree program
- Indicate your academic goals
- Identify which project (or both) that there is interest in
- Short statement of background qualifications and experience
- Statement of availability explaining how much time can be committed to the research