papers

Publications (36)

cs.CL2026

Evaluating Bias in Phoneme-Based Automatic Speech Recognition Systems: An Analysis of IPA Transcription Models

Catherine Bao, Maneesha Rani Saha, Neal Patwari

The popularization of automatic speech recognition (ASR) systems has increased exploration of the demographic biases related to race, age, gender, and accent, often formed from imb…

cs.OH2014

dRTI: Directional Radio Tomographic Imaging

Bo Wei, Ambuj Varshney, Wen Hu +3

Radio tomographic imaging (RTI) enables device free localisation of people and objects in many challenging environments and situations. Its basic principle is to detect the changes…

cs.OH2012

Hidden Markov Estimation of Bistatic Range From Cluttered Ultra-wideband Impulse Responses

Merrick McCracken, Neal Patwari

Ultra-wideband (UWB) multistatic radar can be used for target detection and tracking in buildings and rooms. Target detection and tracking relies on accurate knowledge of the bista…

cs.NI2009

People-Sensing Spatial Characteristics of RF Sensor Networks

Neal Patwari, Joey Wilson

An "RF sensor" network can monitor RSS values on links in the network and perform device-free localization, i.e., locating a person or object moving in the area in which the networ…

eess.SP2025

Sensing and Stopping Interfering Secondary Users: Validation of an Efficient Spectrum Sharing System

Meles Weldegebriel, Zihan Li, Dustin Maas +3

We present the design and validation of Stoppable Secondary Use (StopSec), a privacy-preserving protocol with the capability to identify a secondary user (SU) causing interference…

cs.CL2023

Global Performance Disparities Between English-Language Accents in Automatic Speech Recognition

Alex DiChristofano, Henry Shuster, Shefali Chandra +1

Past research has identified discriminatory automatic speech recognition (ASR) performance as a function of the racial group and nationality of the speaker. In this paper, we expan…

cs.NI2014

RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization

Cesare Alippi, Maurizio Bocca, Giacomo Boracchi +2

RF sensor networks are used to localize people indoor without requiring them to wear invasive electronic devices. These wireless mesh networks, formed by low-power radio transceive…

cs.ET2016

Detector Based Radio Tomographic Imaging

Hüseyin Yiğitler, Riku Jäntti, Ossi Kaltiokallio +1

Received signal strength based radio tomographic imaging is a popular device-free indoor localization method which reconstructs the spatial loss field of the environment using meas…

cs.NI2013

Multiple Target Tracking with RF Sensor Networks

Maurizio Bocca, Ossi Kaltiokallio, Neal Patwari +1

RF sensor networks are wireless networks that can localize and track people (or targets) without needing them to carry or wear any electronic device. They use the change in the rec…

cs.NI2018

Never Use Labels: Signal Strength-Based Bayesian Device-Free Localization in Changing Environments

Peter Hillyard, Neal Patwari

Device-free localization (DFL) methods use measured changes in the received signal strength (RSS) between many pairs of RF nodes to provide location estimates of a person inside th…

cs.NI2011

Experimental Performance Evaluation of Location Distinction for MIMO Channels

Dustin Maas, Neal Patwari, Daryl Wasden +2

Location distinction is defined as determining whether or not the position of a device has changed. We introduce methods and metrics for performing location distinction in multiple…

eess.SP2018

Save Our Spectrum: Contact-Free Human Sensing Using Single Carrier Radio

Alemayehu Solomon Abrar, Anh Luong, Peter Hillyard +1

Recent research has demonstrated new capabilities in radio frequency (RF) sensing that apply to health care, smart home, and security applications. However, previous work in RF sen…

cs.OH2010

Channel Sounding for the Masses: Low Complexity GNU 802.11b Channel Impulse Response Estimation

Mohammad H. Firooz, Dustin Maas, Junxing Zhang +2

New techniques in cross-layer wireless networks are building demand for ubiquitous channel sounding, that is, the capability to measure channel impulse response (CIR) with any stan…

eess.SP2018

Comparing Respiratory Monitoring Performance of Commercial Wireless Devices

Peter Hillyard, Anh Luong, Alemayehu Solomon Abrar +6

This paper addresses the performance of systems which use commercial wireless devices to make bistatic RF channel measurements for non-contact respiration sensing. Published resear…

eess.SP2020

Quantifying Interference-Assisted Signal Strength Surveillance of Sound Vibrations

Alemayehu Solomon Abrar, Neal Patwari, Sneha Kumar Kasera

A malicious attacker could, by taking control of internet-of-things devices, use them to capture received signal strength (RSS) measurements and perform surveillance on a person's…

cs.NI2013

Dial It In: Rotating RF Sensors to Enhance Radio Tomography

Maurizio Bocca, Anh Luong, Neal Patwari +1

A radio tomographic imaging (RTI) system uses the received signal strength (RSS) measured by RF sensors in a static wireless network to localize people in the deployment area, with…

eess.SP2026

RFI Detection and Identification at OVRO Using Pseudonymetry

Meles Weldegebriel, Zihan Li, Greg Hellbourg +2

Protecting passive radio astronomy observatories from unintended radio-frequency interference (RFI) is increasingly challenging as wireless activity expands near protected bands. W…

cs.NI2013

A Multi-Scale Spatial Model for RSS-based Device-Free Localization

Ossi Kaltiokallio, Maurizio Bocca, Neal Patwari

RSS-based device-free localization (DFL) monitors changes in the received signal strength (RSS) measured by a network of static wireless nodes to locate people without requiring th…

cs.NI2011

Monitoring Breathing via Signal Strength in Wireless Networks

Neal Patwari, Joey Wilson, Sai Ananthanarayanan P. R. +2

This paper shows experimentally that standard wireless networks which measure received signal strength (RSS) can be used to reliably detect human breathing and estimate the breathi…

eess.SP2020

Collision Prediction from UWB Range Measurements

Alemayehu Solomon Abrar, Anh Luong, Gregory Spencer +3

The ability to predict, and thus react to, oncoming collisions among a set of mobile agents is a fundamental requirement for safe autonomous movement, both human and robotic. This…

cs.OH2013

Joint Ultra-wideband and Signal Strength-based Through-building Tracking for Tactical Operations

Merrick McCracken, Maurizio Bocca, Neal Patwari

Accurate device free localization (DFL) based on received signal strength (RSS) measurements requires placement of radio transceivers on all sides of the target area. Accuracy degr…

eess.SP2022

Two Measure is Two Know: Calibration-free Full Duplex Monitoring for Software Radio Platforms

Jie Wang, Jonathan Gornet, Alex Orange +5

Future virtualized radio access network (vRAN) infrastructure providers (and today's experimental wireless testbed providers) may be simultaneously uncertain what signals are being…

cs.HC2013

Breathfinding: A Wireless Network that Monitors and Locates Breathing in a Home

Neal Patwari, Lara Brewer, Quinn Tate +2

This paper explores using RSS measurements on many links in a wireless network to estimate the breathing rate of a person, and the location where the breathing is occurring, in a h…

cs.NI2019

Sitara: Spectrum Measurement Goes Mobile Through Crowd-sourcing

Phillip Smith, Anh Luong, Shamik Sarkar +5

Software-defined radios (SDRs) are often used in the experimental evaluation of next-generation wireless technologies. While crowd-sourced spectrum monitoring is an important compo…

cs.ET2015

Through-Wall Person Localization Using Transceivers in Motion

Peter Hillyard, Dustin Maas, Sriram Premnath +2

We develop novel methods for device-free localization (DFL) using transceivers in motion. Such localization technologies are useful in various cross-layer applications/protocols in…

cs.OH2009

Through-Wall Tracking Using Variance-Based Radio Tomography Networks

Joey Wilson, Neal Patwari

This paper presents a new method for imaging, localizing, and tracking motion behind walls in real-time. The method takes advantage of the motion-induced variance of received signa…

eess.SP2023

Channel Estimation via Loss Field: Accurate Site-Trained Modeling for Shadowing Prediction

Jie Wang, Meles G. Weldegebriel, Neal Patwari

Future mobile ad hoc networks will share spectrum between many users. Channels will be assigned on the fly to guarantee signal and interference power requirements for requested lin…

cs.AI2021

Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari +1

When it comes to studying the impacts of decision making, the research has been largely focused on examining the fairness of the decisions, the long-term effects of the decision pi…

cs.NI2011

Robust Estimators for Variance-Based Device-Free Localization and Tracking

Yang Zhao, Neal Patwari

Human motion in the vicinity of a wireless link causes variations in the link received signal strength (RSS). Device-free localization (DFL) systems, such as variance-based radio t…

eess.SP2019

Quantifying an Interference-Assisted Signal Strength Breathing Surveillance Attack

Alemayehu Solomon Abrar, Neal Patwari, Aniqua Baset +1

A malicious attacker could, by taking control of internet-of-things devices, use them to capture received signal strength (RSS) measurements and perform surveillance on a person's…

eess.SP2017

RSS Models for Respiration Rate Monitoring

Hüseyin Yiğitler, Ossi Kaltiokallio, Roland Hostettler +3

Received signal strength based respiration rate monitoring is emerging as an alternative non-contact technology. These systems make use of the radio measurements of short-range com…

cs.CR2013

Through Wall People Localization Exploiting Radio Windows

Arijit Banerjee, Dustin Maas, Maurizio Bocca +2

We introduce and investigate the ability of an attacker to surreptitiously use an otherwise secure wireless network to detect moving people through walls, in an area in which peopl…

cs.NI2017

EpiFi: An In-Home Sensor Network Architecture for Epidemiological Studies

Philip Lundrigan, Kyeong Min, Neal Patwari +8

We design and build a system called EpiFi, which allows epidemiologists to easily design and deploy experiments in homes. The focus of EpiFi is reducing the barrier to entry for de…

stat.AP2008

Correlated Link Shadow Fading in Multi-hop Wireless Networks

Piyush Agrawal, Neal Patwari

Accurate representation of the physical layer is required for analysis and simulation of multi-hop networking in sensor, ad hoc, and mesh networks. This paper investigates, models,…

eess.SP2022

Racial Disparities in Pulse Oximetry Cannot Be Fixed With Race-Based Correction

Neal Patwari, Di Huang, Kiki Bonetta-Misteli

Studies have shown pulse oximeter measurements of blood oxygenation have statistical bias that is a function of race, which results in higher rates of occult hypoxemia, i.e., misse…

cs.NI2013

Catch a Breath: Non-invasive Respiration Rate Monitoring via Wireless Communication

Ossi Kaltiokallio, Hüseyin Yigitler, Riku Jäntti +1

Radio signals are sensitive to changes in the environment, which for example is reflected on the received signal strength (RSS) measurements of low-cost wireless devices. This info…