• Login
  • Register

Work for a Member organization and need a Member Portal account? Register here with your official email address.

Project

Indoor Human Tracking and Scene Reconstruction

Copyright

Signal Kinetics

Signal Kinetics 

Groups

Today’s indoor sensing systems face a fundamental tradeoff: cameras provide rich visual detail but raise privacy concerns, while traditional wireless sensors preserve privacy yet lack detailed spatial understanding.

We introduce a new way to see indoor spaces using a single, static wireless sensor that can track human motion with high accuracy and reconstruct environments.  

By leveraging wireless signals, our system captures both movement and spatial structure without requiring any visual data.

What We Can Do

  • Human Tracking — accurate continuous motion tracking without wearable devices
  • Layout Reconstruction — recovery of 2D floor plans from wireless reflections
  • Furniture Detection — identification of large objects and spatial structure
  • Fall Detection — real-time detection of critical events for safety monitoring

Why It Matters

This work redefines how a single wireless radar can perceive indoor environments:

  • Privacy-first sensing for homes and healthcare
  • Spatial context awareness, enabling accurate layout reconstruction

More broadly, we demonstrates that wireless signals can function as a new form of vision - expanding perception beyond the limits of cameras.


Future Directions

We aim to extend this approach beyond millimeter wave radar toward WiFi-based sensing and integrated sensing and communication (ISAC) systems.

This shift enables scalable, low-cost, and pervasive sensing embedded directly into existing wireless infrastructure.

Applications

  • Senior Living — passive monitoring for safety and well-being
  • Smart Homes — spatial-awareness without cameras
  • Occupancy Sensing — HVAC optimization and energy efficiency
  • Workspace Optimization — understanding space utilization and flow

Build the Future of Indoor Wireless Sensing

Interested in collaborating, building, or commercializing wireless perception in the real world? Contact us! 

To learn more, check out our paper, which will be published at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).