Recognizing water-based activities in the home through infrastructure-mediated sensing. - Edison Thomaz; Vinay Bettadapura; Gabriel Reyes; Megha Sandesh; Grant Schindler; Thomas Plötz; Gregory D. Abowd; Irfan A. Essa (UbiComp, 2012)

Practical food journaling. - Edison Thomaz (UbiComp (Adjunct Publication), 2013)

Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras. - Edison Thomaz; Aman Parnami; Jonathan Bidwell; Irfan A. Essa; Gregory D. Abowd (UbiComp, 2013)

Feasibility of identifying eating moments from first-person images leveraging human computation. - Edison Thomaz; Aman Parnami; Irfan A. Essa; Gregory D. Abowd (SenseCam, 2013)

BackTap: robust four-point tapping on the back of an off-the-shelf smartphone. - Cheng Zhang 011; Aman Parnami; Caleb Southern; Edison Thomaz; Gabriel Reyes; Rosa I. Arriaga; Gregory D. Abowd (UIST (Adjunct Volume), 2013)

Disasters in personal informatics: the unpublished stories of failure and lessons learned. - Jon E. Froehlich; Jakob Eg Larsen; Matthew Kay 001; Edison Thomaz (UbiComp Adjunct, 2014)

Barriers and Negative Nudges: Exploring Challenges in Food Journaling. - Felicia Cordeiro; Daniel A. Epstein; Edison Thomaz; Elizabeth S. Bales; Arvind Krishnaa Jagannathan; Gregory D. Abowd; James Fogarty (CHI, 2015)

A practical approach for recognizing eating moments with wrist-mounted inertial sensing. - Edison Thomaz; Irfan A. Essa; Gregory D. Abowd (UbiComp, 2015)

Detecting Mastication: A Wearable Approach. - Abdelkareem Bedri; Apoorva Verlekar; Edison Thomaz; Valerie Avva; Thad Starner (ICMI, 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)

Predicting daily activities from egocentric images using deep learning. - Daniel Castro; Steven Hickson; Vinay Bettadapura; Edison Thomaz; Gregory D. Abowd; Henrik I. Christensen; Irfan A. Essa (ISWC, 2015)

Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study. - Edison Thomaz; Cheng Zhang 011; Irfan A. Essa; Gregory D. Abowd (IUI, 2015)

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

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 001; Benjamin M. Marlin (ICML, 2016)

Automatic eating detection in real-world settings with commodity sensing. - Edison Thomaz (2016)

Challenges and Opportunities in Automated Detection of Eating Activity. - Edison Thomaz; Irfan A. Essa; Gregory D. Abowd (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Exploring Symmetric and Asymmetric Bimanual Eating Detection with Inertial Sensors on the Wrist. - Edison Thomaz; Abdelkareem Bedri; Temiloluwa Prioleau; Irfan A. Essa; Gregory D. Abowd (DigitalBioMarker@MobiSys, 2017)

Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation. - Mariella Dimiccoli; Juan Marín; Edison Thomaz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications. - Eun Kyoung Choe; Saeed Abdullah; Mashfiqui Rabbi; Edison Thomaz; Daniel A. Epstein; Felicia Cordeiro; Matthew Kay 001; Gregory D. Abowd; Tanzeem Choudhury; James Fogarty; Bongshin Lee; Mark Matthews; et al. (IEEE Pervasive Comput., 2017)

AudioAR: Audio-Based Activity Recognition with Large-Scale Acoustic Embeddings from YouTube Videos. - Dawei Liang; Edison Thomaz (CoRR, 2018)

Detecting Eating Episodes by Tracking Jawbone Movements with a Non-Contact Wearable Sensor. - Keum San Chun; Sarnab Bhattacharya; Edison Thomaz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

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)

Quantifying the Chaos Level of Infants' Environment via Unsupervised Learning. - Priyanka Khante; Mai Lee Chang; Domingo Martinez; Kaya de Barbaro; Edison Thomaz (CoRR, 2019)

Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition. - Rebecca Adaimi; Edison Thomaz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Audio-Based Activities of Daily Living (ADL) Recognition with Large-Scale Acoustic Embeddings from Online Videos. - Dawei Liang; Edison Thomaz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

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)

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)

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

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

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 001; Matthew O'Hair; Thomas Baranowski; Grace Lee; Catherine Allen; Atami Sagna; Edison Thomaz; Miyong Kim (Appl. Clin. Inform., 2020)

Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments. - Congyu Wu; Hagen Fritz; Zoltán Nagy 002; Juan P. Maestre; Edison Thomaz; Christine Julien 001; Darla M. Castelli; Kaya de Barbaro; Gabriella M. Harari; R. Cameron Craddock; Kerry A. Kinney; Samuel D. Gosling; et al. (CoRR, 2020)

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 (CoRR, 2020)

Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review. - Brooke Bell; Ridwan Alam; Nabil Alshurafa; Edison Thomaz; Md. Abu Sayeed Mondol; Kayla de la Haye; John A. Stankovic; John C. Lach; Donna Spruijt-Metz (npj Digit. Medicine, 2020)

MagSurface: Wireless 2D Finger Tracking Leveraging Magnetic Fields. - Sarnab Bhattacharya; Keum San Chun; Edison Thomaz (CoRR, 2021)

Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study. - Dawei Liang; Yangyang Shi; Yun Wang; Nayan Singhal; Alex Xiao; Jonathan Shaw; Edison Thomaz; Ozlem Kalinli; Mike Seltzer (CoRR, 2021)

Ok Google, What Am I Doing?: Acoustic Activity Recognition Bounded by Conversational Assistant Interactions. - Rebecca Adaimi; Howard Yong; Edison Thomaz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Infant Crying Detection In Real-World Environments. - Xuewen Yao; Megan Micheletti; Mckensey Johnson; Edison Thomaz; Kaya de Barbaro (ICASSP, 2022)

AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models. - Dawei Liang; Guihong Li; Rebecca Adaimi; Radu Marculescu; Edison Thomaz (ISWC, 2022)

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

Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach. - Dawei Liang; Zifan Xu; Yinuo Chen; Rebecca Adaimi; David Harwath; Edison Thomaz (CoRR, 2022)

Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches. - Sarnab Bhattacharya; Rebecca Adaimi; Edison Thomaz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Understanding People's Perceptions of Approaches to Semi-Automated Dietary Monitoring. - Xi Lu 002; Edison Thomaz; Daniel A. Epstein (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks. - Rebecca Adaimi; Edison Thomaz (Sensors, 2022)

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)

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 Workshops, 2023)

Cheating off your neighbors: Improving activity recognition through corroboration. - Haoxiang Yu; Jingyi An; Evan King; Edison Thomaz; Christine Julien 001 (CoRR, 2023)

Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders. - Xuewen Yao; Miriam Mikhelson; S. Craig Watkins; Eunsol Choi; Edison Thomaz; Kaya de Barbaro (CoRR, 2023)

Understanding Postpartum Parents' Experiences via Two Digital Platforms. - Xuewen Yao; Miriam Mikhelson; Megan Micheletti; Eunsol Choi; S. Craig Watkins; Edison Thomaz; Kaya de Barbaro (Proc. ACM Hum. Comput. Interact., 2023)

Automated Face-To-Face Conversation Detection on a Commodity Smartwatch with Acoustic Sensing. - Dawei Liang; Alice Zhang; Edison Thomaz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

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

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)

Auditory chaos classification in real-world environments. - Priyanka Khante; Edison Thomaz; Kaya de Barbaro (Frontiers Digit. Health, 2024)

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset. - Ebrahim Farahmand; Reza Rahimi Azghan; Nooshin Taheri-Chatrudi; Eric Kim; Gautham Krishna Gudur; Edison Thomaz; Giulia Pedrielli; Pavan K. Turaga; Hassan Ghasemzadeh 001 (CoRR, 2025)

Transformation of audio embeddings into interpretable, concept-based representations. - Alice Zhang; Edison Thomaz; Lie Lu (CoRR, 2025)

Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing. - Alice Zhang; Callihan Bertley; Dawei Liang; Edison Thomaz (CoRR, 2025)