Multi-Person Localization via RF Body Reflections NSDI 2015 1.

Slides:



Advertisements
Similar presentations
UAbove Law fahrul hakim2003 Wireless LAN implications Project managers and design engineer should be aware, the following potential problems from the implementation.
Advertisements

We Can Hear You with Wi-Fi !
Adaptive Accurate Indoor-Localization Using Passive RFID Xi Chen, Lei Xie, Chuyu Wang, Sanglu Lu State Key Laboratory for Novel Software Technology Nanjing.
The Mobile MIMO Channel and Its Measurements
Data Communication lecture10
Whole-Home Gesture Recognition Using Wireless Signals —— MobiCom’13 Author: Qifan Pu et al. University of Washington Presenter: Yanyuan Qin & Zhitong Fei.
CELLULAR COMMUNICATIONS 2. Radio Wave Propagation.
Did You See Bob?: Human Localization using Mobile Phones Constandache, et. al. Presentation by: Akie Hashimoto, Ashley Chou.
EE360: Lecture 13 Outline Cognitive Radios and their Capacity Announcements March 5 lecture moved to March 7, 12-1:15pm, Packard 364 Poster session scheduling.
Department of Electrical and Computer Engineering He Zhou Hui Zheng William Mai Xiang Guo Advisor: Professor Patrick Kelly ASLLENGE.
Topology Control for Effective Interference Cancellation in Multi-User MIMO Networks E. Gelal, K. Pelechrinis, T.S. Kim, I. Broustis Srikanth V. Krishnamurthy,
EE360: Lecture 8 Outline Multiuser Detection
Through Wall Radar ECE 480 Fall 2008 Design Day Presentation.
Wireless Communication: Overview of basic concepts Narayan Mandayam.
Enhancing RSSI-based Tracking Accuracy in Wireless Sensor Networks
APPLICATION OF SPACE-TIME CODING TECHNIQUES IN THIRD GENERATION SYSTEMS - A. G. BURR ADAPTIVE SPACE-TIME SIGNAL PROCESSING AND CODING – A. G. BURR.
Location Systems for Ubiquitous Computing Jeffrey Hightower and Gaetano Borriello.
Challenges: Device-free Passive Localization for Wireless Environments Moustafa Youssef, Matthew Mah, Ashok Agrawala University of Maryland College Park.
Propagation Measurements and Models for Wireless Communications Channels Brian Alexander.
Learning and Recognizing Activities in Streams of Video Dinesh Govindaraju.
Propagation characteristics of wireless channels
RADAR: An In-Building RF-Based User Location and Tracking system Paramvir Bahl and Venkata N. Padmanabhan Microsoft Research Presented by: Ritu Kothari.
BATCH MEMBERS(B 4) 1.B.VAMSI KRISHNA 2.B.SRINIVASAN 3.P.RAJESH 4.S.PRAVEEN KUMAR 5.D.VARUN UNDER THE GUIDENCE OF Mr. M.CHANDRA MOHAN REDDY., M.Tech.,
1 Lecture 9: Diversity Chapter 7 – Equalization, Diversity, and Coding.
Transmission Media / Channels. Introduction Provides the connection between the transmitter and receiver. 1.Pair of wires – carry electric signal. 2.Optical.
Radar Principles and Systems Part I
Smart Environments for Occupancy Sensing and Services Paper by Pirttikangas, Tobe, and Thepvilojanapong Presented by Alan Kelly December 7, 2011.
Hanaa A. EL-NATOUR Anne-Christine ESCHER Christophe MACABIAU
SCPL: Indoor Device-Free Multi-Subject Counting and Localization Using Radio Signal Strength Chenren Xu†, Bernhard Firner†, Robert S. Moore ∗, Yanyong.
mTrack: High-Precision Passive Tracking Using Millimeter Wave Radios
EELE 5490, Fall, 2009 Wireless Communications Ali S. Afana Department of Electrical Engineering Class 5 Dec. 4 th, 2009.
RADAR: An In-Building RF-based User Location and Tracking System Presented by: Michelle Torski Paramvir Bahl and Venkata N. Padmanabhan.
Keystroke Recognition using WiFi Signals
RADAR: An In-Building RF-based User Location and Tracking System.
1 Webcam Mouse Using Face and Eye Tracking in Various Illumination Environments Yuan-Pin Lin et al. Proceedings of the 2005 IEEE Y.S. Lee.
S MART A NTENNA B.GANGADHAR 08QF1A1209. ABSTRACT One of the most rapidly developing areas of communications is “Smart Antenna” systems. This paper deals.
Audio Location Accurate Low-Cost Location Sensing James Scott Intel Research Cambridge Boris Dragovic Intern in 2004 at Intel Research Cambridge Studying.
RADAR: an In-building RF-based user location and tracking system
Device-Free Localization Ossi Kaltiokallio Department of Automation and Systems Technology Aalto University School of Science and Technology
Limits On Wireless Communication In Fading Environment Using Multiple Antennas Presented By Fabian Rozario ECE Department Paper By G.J. Foschini and M.J.
Remcom Inc. 315 S. Allen St., Suite 416  State College, PA  USA Tel:  Fax:   ©
Remcom Inc. 315 S. Allen St., Suite 416  State College, PA  USA Tel:  Fax:   ©
Part 3  Transmission Media & EM Propagations.  Provides the connection between the transmitter and receiver. 1.Pair of wires – carry electric signal.
1 SMART ANTENNAS FOR THIRD GENERATION TDMA (EDGE) Jack H. Winters AT&T Labs - Research Red Bank, NJ March 22, 2000.
I Am the Antenna Accurate Outdoor AP Location Using Smartphones Zengbin Zhang†, Xia Zhou†, Weile Zhang†§, Yuanyang Zhang†, Gang Wang†, Ben Y. Zhao† and.
EE360: Lecture 13 Outline Capacity of Cognitive Radios Announcements Progress reports due Feb. 29 at midnight Overview Achievable rates in Cognitive Radios.
Acoustic Eavesdropping through Wireless Vibrometry University of Wisconsin – Madison, Chinese Academy of Sciences School of Electronic Information and.
ArrayTrack : A Fine-Grained Indoor Location System Jie Xiong, Kyle Jamieson USENIX NSDI ‘ Jungmin Yoo *some slides.
1 Yue Qiao, Ouyang Zhang, Wenjie Zhou, Kannan Srinivasan and Anish Arora Department of Computer Science and Engineering PhyCloak: Obfuscating Sensing from.
Multiple Antennas.
Antenna Developments for WiFi Phase Applications Diversity MIMO.
Lens Gestures: Integrating Compound Gesture Inputs for Shortcut Activation.
Mobicom 2015 Paper Discussion Wenguang Mao. Wireless Sensing Detect the location/motion/gesture/shape information of a human/object based on a variety.
WI-VI Presented by, ASWATHI.N.R Roll No;22 S3EC.
When CSI Meets Public WiFi: Inferring Your Mobile Phone Password via WiFi Signals Adekemi Adedokun May 2, 2017.
Acoustic mapping technology
A Problem in LTE Communication
Elahe Soltanaghaei Avinash Kalyanaraman Kamin Whitehouse
ArrayTrack: A Fine-Grained Indoor Location System
WiTrace: Centimeter-Level Passive Gesture Tracking Using WiFi Signals
MIMO II: Physical Channel Modeling, Spatial Multiplexing
WiDeo: Fine-grained Device-free Motion Tracing using RF Backscatter
We Can Hear You with Wi-Fi !
Daniel de Godoy Peixoto
RADAR: An In-Building RF-based User Location and Tracking System
QGesture: Quantifying Gesture Distance and Direction with WiFi Signals
RADAR: An In-Building RF-based User Location and Tracking System
MIMO II: Physical Channel Modeling, Spatial Multiplexing
IPSN19 杨景
Zhiqing Luo1, Wei Wang1, Jiang Xiao1,
Presentation transcript:

Multi-Person Localization via RF Body Reflections NSDI

Motivation 2 device-based -> device-free

Challenges  multipath effect the indoor multipath varies significantly when it is measured from different vantage points  near-far problem Successive Silhouette Cancellation (SSC) which is inspired by successive interference cancellation  localizing static users users still move slightly due to their breathing 3

Contributions This paper demonstrates the first device-free RF-localization system that can accurately localize multiple people to centimeter-scale in indoor multipath-rich environments.  Motion Tracking 12.1cm in the x/y dimensions  Localizing Static People 11.2 cm in the x/y dimensions  Tracking Hand Movements a median accuracy of 10.3° 4

WiTrack 3D Tracking via Body Radio Reflections NSDI 2014 single-person motion tracking via RF body reflections: 1) obtaining time-of-flight (TOF) measurements to various reflectors in the environment 2) eliminating TOF measurements due to reflections of static objects like walls and furniture 3)mapping the user’s TOFs to a location 5

WiTrack 6 Frequency-Modulated Carrier Waves (FMCW)

WiTrack 7

8

WiTrack2.0 9 five transmit antennas and five receive antennas (1) Multi-shift FMCW (2)Successive Silhouette Cancellation (SSC)

Addressing Multi-path in Multi-User Localization 10 The exact number would depend on multipath and noise in the environment as well as on the number of users we wish to localize

The Design of Multi-shift FMCW 1. one FMCW transmitter and a large number of receivers 2. multiple FMCW transmit and receive antennas different FMCW transmitters will interfere with each other 11 Tx1 Tx2 Rx

The Design of Multi-shift FMCW 12

Successive Silhouette Cancellation 1. SSC Detection: finds the location of the strongest user by overlaying the heatmaps of all Tx-Rx pairs. 2. SSC Re-mapping: maps a person’s location to the set of TOFs that would have generated that location at each transmit-receive pair. 3. SSC Cancellation: cancels the impact of the person on the TOF profiles of all Tx-Rx pairs. 4. Iteration: re-computes the heatmaps using the TOF profiles after cancellation, overlays them, and proceeds to find the next strongest reflector. 13

Successive Silhouette Cancellation 14

Successive Silhouette Cancellation 15

Successive Silhouette Cancellation  Refocusing Step  Leveraging Motion Continuity  Disentangling Crossing Paths  Extending SSC to 3D Gesture Recognition 16

Localization Based On Breathing 17 using a subtraction window of 2.5 seconds

Localization Based On Breathing 18

Evaluation 19

Limitation  Number of Users  Coverage Area  Lack of Identification  Limited Gesture Interface 20

21