Human-Machine Intelligent Systems Lab

Projects

  • RF Antenna State Selection for Localization and Tracking Active

    Research into intelligent antenna state selection for RFID-based sensing in collaboration with the Drexel Wireless Systems Lab, targeting improved read range and accuracy in multi-tag environments. Related student research includes RFID-based indoor localization, multi-tag tracking, and dynamic radar sensing techniques, as well as research and educational module development for software-defined radio (SDR) platforms in smart-grid communication scenarios, conducted across CS392 and CS394. We became involved in this research in 2016.

  • Human Pose Estimation through WiFi Completed

    Research independent studies using RF signal analysis and machine learning to estimate human body pose without cameras. Conducted by two students (CS394). This work was conducted from 2023 to 2024.