Edison Thomaz
Affiliations: | 2016 | Interactive Computing | Georgia Institute of Technology, Atlanta, GA |
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"Edison Thomaz"Parents
Sign in to add mentorGregory D. Abowd | grad student | 2016 | Georgia Tech | |
(Thesis: Automatic Eating Detection in Real-World Settings with Commodity Sensing) |
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Publications
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Fornasaro-Donahue V, Walls TA, Thomaz E, et al. (2022) A Conceptual Model for Mobile Health-enabled Slow Eating Strategies. Journal of Nutrition Education and Behavior |
Chun KS, Jeong H, Adaimi R, et al. (2020) Eating Episode Detection with Jawbone-Mounted Inertial Sensing. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 4361-4364 |
Bell BM, Alam R, Alshurafa N, et al. (2020) Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review. Npj Digital Medicine. 3: 38 |
Streeper NM, Dubnansky A, Sanders AB, et al. (2019) Improving Fluid Intake Behavior Among Patients with Kidney Stones: Understanding Patients' Experiences and Acceptability of Digital Health Technology. Urology |
Chun KS, Sanders AB, Adaimi R, et al. (2019) Towards a Generalizable Method for Detecting Fluid Intake with Wrist-Mounted Sensors and Adaptive Segmentation. Iui. International Conference On Intelligent User Interfaces. 2019: 80-85 |
Liang D, Thomaz E. (2019) Audio-Based Activities of Daily Living (ADL) Recognition with Large-Scale Acoustic Embeddings from Online Videos Proceedings of the Acm On Interactive, Mobile, Wearable and Ubiquitous Technologies. 3: 1-18 |
Streeper* N, Thomaz E, Sanders A, et al. (2019) MP12-03 PROTOCOL TO DEVELOP A DIGITAL BIOMARKER TO DETECT DRINKING BEHAVIOR AMONG PATIENTS WITH KIDNEY STONES USING WRIST-WORN INERTIAL SENSORS Journal of Urology. 201 |
Thomaz E, Bedri A, Prioleau T, et al. (2017) Exploring Symmetric and Asymmetric Bimanual Eating Detection with Inertial Sensors on the Wrist. Digitalbiomarkers'17 : Proceedings of the 1st Workshop On Digital Biomarkers : June 23, 2017, Niagara Falls, Ny, Usa. Workshop On Digital Biomarkers (1st : 2017 : Niagara Falls, N.Y.). 2017: 21-26 |
Choe EK, Abdullah S, Rabbi M, et al. (2017) Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications Ieee Pervasive Computing. 16: 74-84 |
Castro D, Hickson S, Bettadapura V, et al. (2015) Predicting Daily Activities From Egocentric Images Using Deep Learning. Proceedings. International Symposium On Wearable Computers. 2015: 75-82 |