Edison Thomaz

Publications Teaching Code + Data Vita Prospective Students

Journal

Strategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study
Lindsay Bouchacourt, Sarah Smith, Michael Mackert, Shoaa Almalki, Germine Awad, Amanda Barczyk, Sarah Kate Bearman, Darla Castelli, Frances Champagne, Kaya de Barbaro, Shirene Garcia, Karen Johnson, Kerry Kinney, Karla Lawson, Zoltan Nagy, Laura Quiñones Camacho, Lourdes Rodríguez, David Schnyer, Edison Thomaz, Sean Upshaw, Yan Zhang
JMIR Formative Research 2024

The Relationship Between Activity Captured Using Wearable Sensors and Capability in Patients Undergoing Total Joint Replacement
Eugenia Lin, Andrea Leyton-Mange, John Andrawis, Meredith G Moore, Kevin J Bozic, Edison Thomaz, Prakash Jayakumar
Journal of Clinical & Medical Surgery 2024

Promoting Fluid Intake to Increase Urine Volume for Kidney Stone Prevention: Protocol for a Randomized Controlled Efficacy Trial of the sipIT Intervention
David E. Conroy, James Marks, Alyssa Cutshaw, Nilam Ram, Edison Thomaz, and Necole M. Streeper
Contemporary Clinical Trials 2024

Understanding Postpartum Parents' Experiences via Two Digital Platforms
Xuewen Yao, Miriam Mikhelson, Eunsol Choi, S. Craig Watkins, Edison Thomaz, Kaya de Barbaro
PACM HCI 2023

Auditory Chaos Classification in Real-world Environments
Priyanka Khante, Edison Thomaz, Kaya de Barbaro
Frontiers in Digital Health – Health Informatics 2023

Automated Face-to-Face Conversation Detection on a Commodity Smartwatch with Acoustic Sensing
Liang, Dawei, Alice Zhang, Edison Thomaz
PACM IMWUT 2023

Feasibility of mini sipIT Behavioral Intervention to Increase Urine Volume in Patients with Kidney Stones
Streeper, Necole M., Jason D. Fairbourn, James Marks, Edison Thomaz, Nilam Ram, and David E. Conroy
Urology 2023

A Conceptual Model for Mobile Health-enabled Slow Eating Strategies
Viviane Fornasaro-Donahue, Theodore A. Walls, Edison Thomaz, Kathleen J. Melanson
Journal of Nutrition Education and Behavior 2023

Digital Methods for Performing Daily Tasks Among Older Adults: An Initial Report of Frequency of Use and Perceived Utility
Jared F. Benge, Alyssa Aguirre, Michael K. Scullin, Andrew Kiselica, Robin C. Hilsabeck, David Paydarfar, Edison Thomaz, and Michael Douglas
Experimental Aging Research 2023

Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks
Rebecca Adaimi, Edison Thomaz
Sensors 2022

Understanding People’s Perceptions of Approaches to Semi-Automated Dietary Monitoring
Xi Lu, Edison Thomaz, and Daniel A. Epstein
PACM IMWUT 2022

Design, Fabrication, and Calibration of the Building EnVironment and Occupancy (BEVO) Beacon: A Rapidly-Deployable and Affordable Indoor Environmental Quality Monitor
Hagen Fritz, Sepehr Bastami, Calvin Lin, Kingsley Nweye, Tung To, Lauren Chen, Dung Le, Angelina Ibarra, Wendy Zhang, June Young Park, William Waites, Mengjia Tang, Pawel Misztal, Atila Novoselac, Edison Thomaz, Kerry Kinney, Zoltan Nagy
Building and Environment 2022

Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches
Sarnab Bhattacharya, Rebecca Adaimi, Edison Thomaz
PACM IMWUT 2022

Feasibility of a Sensor-Controlled Digital Game for Heart Failure Self-management: Randomized Controlled Trial
Kavita Radhakrishnan, Christine Julien, Tom Baranowski, Matthew O'Hair, Grace Lee, Atami Sagna De Main, Catherine Allen, Bindu Viswanathan, Edison Thomaz, Miyong Kim
JMIR Serious Games 2021

Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts
Congyu Wu, Hagen Fritz, Sepehr Bastami, Juan P Maestre, Edison Thomaz, Christine Julien, Darla M Castelli, Kaya de Barbaro, Sarah Kate Bearman, Gabriella Harari, R Cameron Craddock, Kerry A Kinney, Samuel D Gosling, David M Schnyer, Zoltan Nagy
GigaScience 2021

Ok Google, What Am I Doing? Acoustic Activity Recognition Bounded by Conversational Assistant Interactions
Rebecca Adaimi, Howard Yong, Edison Thomaz
PACM IMWUT 2021 | Data + Code

Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data
Congyu Wu, Amanda N. Barczyk, R. Cameron Craddock, Gabriella M. Harari, Edison Thomaz, Jason D. Shumake, Christopher G. Beevers, Samuel D. Gosling, David M. Schnyer
Smart Health 2021

Usability Testing of a Sensor-Controlled Digital Game to Engage Older Adults with Heart Failure in Physical Activity and Weight Monitoring
Kavita Radhakrishnan, Christine Julien, Matthew O'Hair, Thomas Baranowski, Grace Lee, Catherine Allen, Atami Sagna, Edison Thomaz, Miyong Kim
Applied Clinical Informatics 2020

Automatic, Wearable-Based, In-Field Eating Detection Approaches for Public Health Research: a Scoping Review
Brooke M. Bell, Ridwan Alam, Nabil Alshurafa, Edison Thomaz, Abu S. Mondol, Kayla de la Haye, John A. Stankovic, John Lach, Donna Spruijt-Metz
npj Digital Medicine 2020

Improving Fluid Intake Behavior Among Patients With Kidney Stones: Understanding Patients’ Experiences and Acceptability of Digital Health Technology
Necole Streeper, Alexandra Dubnansky, Ashley Sanders, Kathleen Lehman, Edison Thomaz, David Conroy
Urology 2019

Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition
Rebecca Adaimi, Edison Thomaz
PACM IMWUT 2019

Role of Digital Games in Self-Management of Cardiovascular Diseases: A Scoping Review
Kavita Radhakrishnan, Thomas Baranowski, Christine Julien, Edison Thomaz, Miyong Kim
Games For Health Journal 2019

Audio-Based Activities of Daily Living (ADL) Recognition with Large-Scale Acoustic Embeddings from Online Videos
Dawei Liang, Edison Thomaz
PACM IMWUT 2019

Detecting Eating Episodes by Tracking Jawbone Movements with a Non-Contact Wearable Sensor
Keum San Chun, Sarnab Bhattacharya, Edison Thomaz
PACM IMWUT 2018

Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation
Mariella Dimiccoli, Juan Marín, Edison Thomaz
PACM IMWUT 2017

Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications
Eun Kyoung Choe, Saeed Abdullah, Mashfiqui Rabbi, Edison Thomaz, Daniel Epstein, Matthew Kay, Felicia Cordeiro,
Gregory D. Abowd, Tanzeem Choudhury, James Fogarty, Bongshin Lee, Mark Matthews, Julie Kientz
IEEE Pervasive Computing 2017

Book Chapter

Ubiquitous Computing for Person-Environment Research: Opportunities, Considerations, and Future Directions
Vaid, Sumer, Saeed Abdullah, Edison Thomaz, Gabriella Harari
Measuring and Modeling Persons and Situations, Elsevier, 2021

Challenges and Opportunities in Automated Detection of Eating Activity
Edison Thomaz, Irfan Essa, Gregory D. Abowd
Mobile Health, pp. 151-174. Springer, Cham, 2017

Conference

Improving Audio Classification with Low-Sampled Microphone Input: An Empirical Study using Model Self-Distillation
Dawei Liang, Alice Zhang, David Harwath, Edison Thomaz
Interspeech 2024

Leveraging Large Language Models to Annotate Activities of Daily Living Captured with Egocentric Vision
Sloke Shrestha, Edison Thomaz
CHASE 2024

A Decentralized Clinical Trial of a Digital Intervention with Multiple Health Trackers for Heart Failure: Early Learnings and Practical Considerations
Rachel Tunis, Tom Baranowski, Angelica Rangel, James Custer, Edison Thomaz, Paul Rathouz, Jay Bartroff, Christine Julien, Grace Lee, Matthew O’Hair, Myong Kim, Kavita Radhakrishnan
Pervasive Health 2023

Dynamic Speech Endpoint Detection with Regression Targets
Dawei Liang, Hang Su, Tarun Singh, Jay Mahadeokar, Shanil Puri, Jiedan Zhu, Edison Thomaz, Mike Seltzer
ICASSP 2023

AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models
Dawei Liang, Guihong Li, Rebecca Adaimi, Radu Marculescu, Edison Thomaz
ISWC 2022 | Best Paper Award Runner-up

Infant Crying Detection in Real-World Environments
Xuewen Yao, Megan Micheletti, Mckensey Johnson, Edison Thomaz, Kaya de Barbaro
ICASSP 2022

Characterizing the Effect of Audio Degradation on Privacy Perception And Inference Performance in Audio-Based Human Activity Recognition
Dawei Liang, Wenting Song, Edison Thomaz
MobileHCI 2020

Eating Episode Detection with Jawbone-Mounted Inertial Sensing
Keum San Chun, Hyoyoung Jeong, Rebecca Adaimi, Edison Thomaz
EMBC 2020

Intraoral Temperature and Inertial Sensing in Automated Dietary Assessment: A Feasibility Study
Keum San Chun, Sarnab Bhattacharya, Caroline Dolbear, Jordon Kashanchi, Edison Thomaz
ISWC 2020

Towards a Generalizable Method for Detecting Fluid Intake with Wrist-Mounted Sensors and Adaptive Segmentation
Keum San Chun, Ashley B. Sanders, Rebecca Adaimi, Necole Streeper, David E. Conroy, Edison Thomaz
IUI 2019

Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams
Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M. Marlin
ICML 2016

Detecting Mastication: A Wearable Approach
Abdelkareem Bedri, Apoorva Verlekar, Edison Thomaz, Valerie Avva, Thad Starner
ICMI 2015

Predicting Daily Activities From Egocentric Images Using Deep Learning
Daniel Castro, Steve Hickson, Vinay Bettadapura, Edison Thomaz, Gregory D. Abowd, Henrik Christensen, Irfan Essa
ISWC 2015

A Wearable System for Detecting Eating Activities with Proximity Sensors in the Outer Ear
Abdelkareem Bedri, Apoorva Verlekar, Edison Thomaz, Valerie Avva, Thad Starner
ISWC 2015

A Practical Approach for Recognizing Eating Moments with Wrist-Mounted Inertial Sensing
Edison Thomaz, Irfan Essa, Gregory D. Abowd
Ubicomp 2015 | Data + Code

Barriers and Negative Nudges: Exploring Challenges in Food Journaling
Felicia Cordeiro, Daniel A. Epstein, Edison Thomaz, Elizabeth Bales, Arvind K. Jagannathan, Gregory D. Abowd, James Fogarty
CHI 2015 | Best of CHI Award

Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study
Edison Thomaz, Cheng Zhang, Irfan Essa, Gregory D. Abowd
IUI 2015 | Best Short Paper Award

Leveraging Context to Support Automated Food Recognition in Restaurants
Vinay Bettadapura, Edison Thomaz, Aman Parnami, Gregory D. Abowd, Irfan Essa
WACV 2015

Feasibility of Identifying Eating Moments from First-Person Images Leveraging Human Computation
Edison Thomaz, Aman Parnami, Irfan Essa, Gregory D. Abowd
SenseCam and Pervasive Imaging 2013

Technological Approaches for Addressing Privacy Concerns When Recognizing Eating Behaviors with Wearable Cameras
Edison Thomaz, Aman Parnami, Jonathan Bidwell, Irfan Essa, Gregory D. Abowd
Ubicomp 2013

Recognizing Water-Based Activities in the Home Through Infrastructure-Mediated Sensing
Edison Thomaz, Vinay Bettadapura, Gabriel Reyes, Megha Sandesh, Grant Schindler, Thomas Ploetz, Gregory Abowd, Irfan Essa
Ubicomp 2012

Workshop

A Dataset for Foreground Speech Analysis with Smartwatches in Everyday Home Environments
Dawei Liang, Zifan Xu, Yinuo Chen, Rebecca Adaimi, David Harwath, Edison Thomaz
ICASSP 2023 (Ambient AI) | Best Paper Award

HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data
Abduallah Mohamed, Fernando Lejarza, Stephanie Cahail, Christian Claudel, Edison Thomaz
PerCom 2022 (CoMoRea)

Activiome: A System for Annotating First-Person Photos and Multimodal Activity Sensor Data
Edison Thomaz
PerCom 2020 (ARDOUS)

Usability of a Hands-Free Voice Input Interface for Ecological Momentary Assessment
Rebecca Adaimi, Ka Tai Ho, Edison Thomaz
PerCom 2020 (ARDOUS)

Use of SipIT Intervention to Reduce Common Perceived Barriers to Increasing Fluid Intake among Adult Patients with Kidney Stones
Ashley West, Necole Streeper, Edison Thomaz, David Conroy
Society for Behavioral Medicine 2020 (Conference Cancelled)

SipIT: A Digital Health Just-in-Time Intervention to Increase Fluid Consumption Habits among Patients with Kidney Stones
Necole Streeper, Deborah Brunke-Reese, Edison Thomaz, Ashley Sanders, David Conroy
World Congress of Endourology 2019 (Poster)

Protocol to Develop a Digital Biomarker to Detect Drinking Behavior among Patients with Kidney Stones Using Wrist-Worn Inertial Sensor
Necole Streeper, Edison Thomaz, Ashley Sanders, A. Dubnansky, David Conroy
American Urological Association Annual Meeting 2019 (Poster)

Exploring Symmetric and Asymmetric Bimanual Eating Detection with Inertial Sensors on the Wrist
Edison Thomaz, Abdelkareem Bedri, Temiloluwa Prioleau, Irfan Essa, Gregory D. Abowd
Digital Biomarkers 2017

Disasters in Personal Informatics: The Unpublished Stories of Failure and Lessons Learned
Jon E. Froehlich, Matthew Kay, Jakob Eg Larsen, Edison Thomaz
Ubicomp 2014 (Disasters in Personal Informatics: The Unpublished Stories of Failure and Lessons Learned)

Sequencing the Dietary Exposome with Semi-Automated Food Journaling Techniques
Edison Thomaz
HCIC 2013

A Human-Centered Conceptual Model for Personal Health Informatics Data
Edison Thomaz
CHI 2013 (Personal Informatics in the Wild: Hacking Habits for Health & Happiness)

Hydrostream: A Platform for Collecting, Annotating and Analyzing Water Pressure for Health Applications
Edison Thomaz, Thomas Ploetz, Irfan Essa, Gregory D. Abowd
CHI 2012 (Personal Informatics in Practice)

Interactive Techniques for Labeling Activities Of Daily Living to Assist Machine Learning
Edison Thomaz, Thomas Ploetz, Irfan Essa, Gregory D. Abowd
Workshop on Interactive Systems in Healthcare (WISH) 2011

Technical Report

MagSurface: Wireless 2D Finger Tracking Leveraging Magnetic Fields
Sarnab Bhattacharya, Keum San Chun, Edison Thomaz
arXiv:2105.00543 (2021)