Multi-Person Localization via RF Body Reflections
Offered By: USENIX via YouTube
Course Description
Overview
Syllabus
Intro
Applications
Limitations of Past Work
How do these systems work?
FMCW: Measure time by measuring frequency
Mapping Distance to Location
Dealing with multi-path is easy when there is one moving user
Combining across multiple vantage points Experiment: Two users walking
Achieving 16 vantage points • Naive solution: 1 Transmitter and 16 Receivers
Ideally: Transmit in the same time and in the same frequency band without interfering
Objective: Transmit and Get Reflection
Multi-shift FMCW enables multiple transmissions at the same time and in the same frequency band without interference
Exploit breathing motion for localize static users
User Sitting Still (Breathing)
Implementation
Accuracy of Localizing Static Users 100 experiments where users sit down in different locations in the room
Reflection-based Human Localization
Taught by
USENIX
Related Courses
Scaling Memcache at FacebookUSENIX via YouTube Opaque - An Oblivious and Encrypted Distributed Analytics Platform
USENIX via YouTube Live Video Analytics at Scale with Approximation and Delay-Tolerance
USENIX via YouTube Clipper - A Low-Latency Online Prediction Serving System
USENIX via YouTube VFP - A Virtual Switch Platform for Host SDN in the Public Cloud
USENIX via YouTube