Edison Thomaz

Orcid: 0000-0001-8188-0457

According to our database1, Edison Thomaz authored at least 52 papers between 2012 and 2024.

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Bibliography

2024
Auditory chaos classification in real-world environments.
Frontiers Digit. Health, 2024

Leveraging Large Language Models to Annotate Activities of Daily Living Captured with Egocentric Vision.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

2023
Automated Face-To-Face Conversation Detection on a Commodity Smartwatch with Acoustic Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Understanding Postpartum Parents' Experiences via Two Digital Platforms.
Proc. ACM Hum. Comput. Interact., April, 2023

Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders.
CoRR, 2023

Cheating off your neighbors: Improving activity recognition through corroboration.
CoRR, 2023

A Dataset for Foreground Speech Analysis With Smartwatches In Everyday Home Environments.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic Speech Endpoint Detection with Regression Targets.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks.
Sensors, 2022

Understanding People's Perceptions of Approaches to Semi-Automated Dietary Monitoring.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach.
CoRR, 2022

HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models.
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Infant Crying Detection In Real-World Environments.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Ok Google, What Am I Doing?: Acoustic Activity Recognition Bounded by Conversational Assistant Interactions.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study.
CoRR, 2021

MagSurface: Wireless 2D Finger Tracking Leveraging Magnetic Fields.
CoRR, 2021

2020
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review.
npj Digit. Medicine, 2020

Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data.
CoRR, 2020

Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments.
CoRR, 2020

Usability Testing of a Sensor-Controlled Digital Game to Engage Older Adults with Heart Failure in Physical Activity and Weight Monitoring.
Appl. Clin. Inform., 2020

Activiome: A System for Annotating First-Person Photos and Multimodal Activity Sensor Data.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Usability of a Hands-Free Voice Input Interface for Ecological Momentary Assessment.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Characterizing the Effect of Audio Degradation on Privacy Perception And Inference Performance in Audio-Based Human Activity Recognition.
Proceedings of the MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, 2020

Intraoral temperature and inertial sensing in automated dietary assessment: a feasibility study.
Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

Eating Episode Detection with Jawbone-Mounted Inertial Sensing.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Quantifying the Chaos Level of Infants' Environment via Unsupervised Learning.
CoRR, 2019

Towards a generalizable method for detecting fluid intake with wrist-mounted sensors and adaptive segmentation.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

2018
Detecting Eating Episodes by Tracking Jawbone Movements with a Non-Contact Wearable Sensor.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

AudioAR: Audio-Based Activity Recognition with Large-Scale Acoustic Embeddings from YouTube Videos.
CoRR, 2018

2017
Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications.
IEEE Pervasive Comput., 2017

Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Exploring Symmetric and Asymmetric Bimanual Eating Detection with Inertial Sensors on the Wrist.
Proceedings of the 1st Workshop on Digital Biomarkers, 2017

Challenges and Opportunities in Automated Detection of Eating Activity.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016
Automatic eating detection in real-world settings with commodity sensing.
PhD thesis, 2016

Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Leveraging Context to Support Automated Food Recognition in Restaurants.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Predicting daily activities from egocentric images using deep learning.
Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

A wearable system for detecting eating activities with proximity sensors in the outer ear.
Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Detecting Mastication: A Wearable Approach.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

A practical approach for recognizing eating moments with wrist-mounted inertial sensing.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

Barriers and Negative Nudges: Exploring Challenges in Food Journaling.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014
Disasters in personal informatics: the unpublished stories of failure and lessons learned.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013
BackTap: robust four-point tapping on the back of an off-the-shelf smartphone.
Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, 2013

Feasibility of identifying eating moments from first-person images leveraging human computation.
Proceedings of the International SenseCam & Pervasive Imaging Conference 2013, 2013

Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Practical food journaling.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012
Recognizing water-based activities in the home through infrastructure-mediated sensing.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012


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