A Radar-based System for Patient Discrimination

WINLAB Summer Internship 2022

Group Members:

Project Objective

This project study will develop a rader-based system to monitor subjects taking medications from a pill bottle and identify them. The system uses ​OPS243-C FMCW and Doppler Radar Sensor to detect and report motion, speed, direction, and range for objects in its field. We will use ML models to augment data and evaluate classification performance of the approach for user identification.

Reading material:

• Aldeer, M., Howard, R. E., Martin, R. P., & Ortiz, J. (2021). Unobtrusive patient identification using smart pill-bottle systems. Internet of Things, 14, 100389.
• Miller, Elishiah, Zane MacFarlane, Seth Martin, Nilanjan Banerjee, and Ting Zhu. "Radar-based monitoring system for medication tampering using data augmentation and multivariate time series classification." Smart Health 23 (2022): 100245.

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Week 4 Activities