Edison Thomaz

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Gregory D. AbowdDean, College of Engineering, Northeastern UniversityDirección de correo verificada de northeastern.edu
Irfan EssaDistinguished Professor of Computing, Georgia Tech / Research Scientist, GoogleDirección de correo verificada de gatech.edu
Rebecca Adaimi, PhDMachine Learning Data Scientist, ŌURADirección de correo verificada de utexas.edu
Dawei LiangElectrical and Computer Engineering, The University of Texas at AustinDirección de correo verificada de utexas.edu
Daniel A. EpsteinAssistant Professor, University of California, IrvineDirección de correo verificada de ics.uci.edu
David E. ConroyThe Pennsylvania State UniversityDirección de correo verificada de psu.edu
Aman ParnamiIndraprastha Institute of Information TechnologyDirección de correo verificada de iiitd.ac.in
James FogartyComputer Science & Engineering, University of WashingtonDirección de correo verificada de cs.washington.edu
Keum San ChunThe Catholic Medical CenterDirección de correo verificada de cmcnu.or.kr
Vinay BettadapuraSenior Staff Software Engineer, Google DeepMind (GDM)Dirección de correo verificada de google.com
Sarnab BhattacharyaGraduate Student at University of Texas at AustinDirección de correo verificada de utexas.edu
Abdelkareem BedriSenior Research Scientist, Apple Inc.Dirección de correo verificada de apple.com
Thad StarnerProfessor of Computing, Georgia Institute of TechnologyDirección de correo verificada de cc.gatech.edu
Congyu "Peter" WuBinghamton UniversityDirección de correo verificada de binghamton.edu
Saeed AbdullahPenn StateDirección de correo verificada de psu.edu
Cheng ZhangAssistant Professor, Cornell UniversityDirección de correo verificada de cornell.edu
Mariella DimiccoliInstitute of Robotics and Industrial Informatics (CSIC-UPC)Dirección de correo verificada de iri.upc.edu
Henrik Iskov ChristensenDirector / Professor @ UCSDDirección de correo verificada de eng.ucsd.edu
Daniel Castro ChinSoftware Engineer, GoogleDirección de correo verificada de gatech.edu
Eun Kyoung ChoeUniversity of MarylandDirección de correo verificada de umd.edu

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Edison Thomaz

Assistant Professor, The University of Texas at Austin

Dirección de correo verificada de utexas.edu - Página principal

Ubiquitous Computing HCI Activity Recognition Wearable Computing Digital Phenotyping


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A practical approach for recognizing eating moments with wrist-mounted inertial sensing E Thomaz, I Essa, GD Abowd Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015	371	2015
Barriers and negative nudges: Exploring challenges in food journaling F Cordeiro, DA Epstein, E Thomaz, E Bales, AK Jagannathan, GD Abowd, ... Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015	286	2015
Leveraging context to support automated food recognition in restaurants V Bettadapura, E Thomaz, A Parnami, GD Abowd, I Essa 2015 IEEE Winter Conference on Applications of Computer Vision, 580-587, 2015	141	2015
Predicting daily activities from egocentric images using deep learning D Castro, S Hickson, V Bettadapura, E Thomaz, G Abowd, H Christensen, ... proceedings of the 2015 ACM International symposium on Wearable Computers, 75-82, 2015	129	2015
Detecting eating episodes by tracking jawbone movements with a non-contact wearable sensor KS Chun, S Bhattacharya, E Thomaz Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2018	92	2018
Semi-automated tracking: a balanced approach for self-monitoring applications EK Choe, S Abdullah, M Rabbi, E Thomaz, DA Epstein, F Cordeiro, M Kay, ... IEEE Pervasive Computing 16 (1), 74-84, 2017	88	2017
Feasibility of identifying eating moments from first-person images leveraging human computation E Thomaz, A Parnami, I Essa, GD Abowd Proceedings of the 4th International SenseCam & Pervasive Imaging Conference …, 2013	85	2013
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review BM Bell, R Alam, N Alshurafa, E Thomaz, AS Mondol, K de la Haye, ... NPJ digital medicine 3 (1), 38, 2020	75	2020
Audio-based activities of daily living (adl) recognition with large-scale acoustic embeddings from online videos D Liang, E Thomaz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019	74	2019
Inferring meal eating activities in real world settings from ambient sounds: A feasibility study E Thomaz, C Zhang, I Essa, GD Abowd Proceedings of the 20th International Conference on Intelligent User …, 2015	68	2015
Detecting mastication: A wearable approach A Bedri, A Verlekar, E Thomaz, V Avva, T Starner Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015	65	2015
Mitigating bystander privacy concerns in egocentric activity recognition with deep learning and intentional image degradation M Dimiccoli, J Marín, E Thomaz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018	63	2018
Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras E Thomaz, A Parnami, J Bidwell, I Essa, GD Abowd Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013	60	2013
A wearable system for detecting eating activities with proximity sensors in the outer ear A Bedri, A Verlekar, E Thomaz, V Avva, T Starner Proceedings of the 2015 ACM International Symposium on Wearable Computers, 91-92, 2015	59	2015
Leveraging active learning and conditional mutual information to minimize data annotation in human activity recognition R Adaimi, E Thomaz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019	42	2019
Recognizing water-based activities in the home through infrastructure-mediated sensing E Thomaz, V Bettadapura, G Reyes, M Sandesh, G Schindler, T Plötz, ... Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 85-94, 2012	38	2012
Exploring symmetric and asymmetric bimanual eating detection with inertial sensors on the wrist E Thomaz, A Bedri, T Prioleau, I Essa, GD Abowd Proceedings of the 1st Workshop on Digital Biomarkers, 21-26, 2017	32	2017
Towards a generalizable method for detecting fluid intake with wrist-mounted sensors and adaptive segmentation KS Chun, AB Sanders, R Adaimi, N Streeper, DE Conroy, E Thomaz Proceedings of the 24th International Conference on Intelligent User …, 2019	27	2019
Improving prediction of real-time loneliness and companionship type using geosocial features of personal smartphone data C Wu, AN Barczyk, RC Craddock, GM Harari, E Thomaz, JD Shumake, ... Smart Health 20, 100180, 2021	25	2021
Ok google, what am i doing? acoustic activity recognition bounded by conversational assistant interactions R Adaimi, H Yong, E Thomaz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021	24	2021

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