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Edison Thomaz
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2020 – today
- 2024
- [j14]Priyanka Khante, Edison Thomaz, Kaya de Barbaro
:
Auditory chaos classification in real-world environments. Frontiers Digit. Health 5 (2024) - [c28]Sloke Shrestha, Edison Thomaz:
Leveraging Large Language Models to Annotate Activities of Daily Living Captured with Egocentric Vision. CHASE 2024: 182-186 - 2023
- [j13]Dawei Liang
Automated Face-To-Face Conversation Detection on a Commodity Smartwatch with Acoustic Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 109:1-109:29 (2023) - [j12]Xuewen Yao
Understanding Postpartum Parents' Experiences via Two Digital Platforms. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-23 (2023) - [c27]Dawei Liang, Hang Su, Tarun Singh, Jay Mahadeokar, Shanil Puri, Jiedan Zhu, Edison Thomaz, Mike Seltzer:
Dynamic Speech Endpoint Detection with Regression Targets. ICASSP 2023: 1-5 - [c26]Dawei Liang, Zifan Xu, Yinuo Chen, Rebecca Adaimi, David Harwath, Edison Thomaz:
A Dataset for Foreground Speech Analysis With Smartwatches In Everyday Home Environments. ICASSP Workshops 2023: 1-5 - [i15]Haoxiang Yu, Jingyi An, Evan King, Edison Thomaz, Christine Julien:
Cheating off your neighbors: Improving activity recognition through corroboration. CoRR abs/2306.06078 (2023) - [i14]Xuewen Yao, Miriam Mikhelson, S. Craig Watkins, Eunsol Choi, Edison Thomaz, Kaya de Barbaro:
Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders. CoRR abs/2308.07407 (2023) - 2022
- [j11]Sarnab Bhattacharya, Rebecca Adaimi, Edison Thomaz:
Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 42:1-42:28 (2022) - [j10]Xi Lu, Edison Thomaz, Daniel A. Epstein:
Understanding People's Perceptions of Approaches to Semi-Automated Dietary Monitoring. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 129:1-129:27 (2022) - [j9]Rebecca Adaimi
Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks. Sensors 22(18): 6881 (2022) - [c25]Xuewen Yao
Infant Crying Detection In Real-World Environments. ICASSP 2022: 131-135 - [c24]Dawei Liang
AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models. ISWC 2022: 44-48 - [c23]Abduallah A. Mohamed, Fernando Lejarza, Stephanie Cahail, Christian G. Claudel
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data. PerCom Workshops 2022: 124-126 - [c22]Abduallah A. Mohamed, Fernando Lejarza, Stephanie Cahail, Christian G. Claudel
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data. PerCom Workshops 2022: 335-340 - [i13]Abduallah A. Mohamed, Fernando Lejarza, Stephanie Cahail, Christian G. Claudel, Edison Thomaz:
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data. CoRR abs/2203.03087 (2022) - [i12]Rebecca Adaimi, Edison Thomaz:
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks. CoRR abs/2203.05692 (2022) - [i11]Dawei Liang, Zifan Xu, Yinuo Chen, Rebecca Adaimi, David Harwath, Edison Thomaz:
Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach. CoRR abs/2203.11294 (2022) - [i10]Dawei Liang, Hang Su, Tarun Singh, Jay Mahadeokar, Shanil Puri, Jiedan Zhu, Edison Thomaz, Mike Seltzer:
Dynamic Speech Endpoint Detection with Regression Targets. CoRR abs/2210.14252 (2022) - [i9]Xuewen Yao, Miriam Mikhelson, Megan Micheletti, Eunsol Choi, S. Craig Watkins, Edison Thomaz, Kaya de Barbaro
Understanding Postpartum Parents' Experiences via Two Digital Platforms. CoRR abs/2212.11455 (2022) - 2021
- [j8]Rebecca Adaimi, Howard Yong, Edison Thomaz:
Ok Google, What Am I Doing?: Acoustic Activity Recognition Bounded by Conversational Assistant Interactions. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 2:1-2:24 (2021) - [i8]Sarnab Bhattacharya, Keum San Chun, Edison Thomaz:
MagSurface: Wireless 2D Finger Tracking Leveraging Magnetic Fields. CoRR abs/2105.00543 (2021) - [i7]Dawei Liang, Yangyang Shi, Yun Wang, Nayan Singhal, Alex Xiao, Jonathan Shaw, Edison Thomaz, Ozlem Kalinli, Mike Seltzer:
Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study. CoRR abs/2110.03174 (2021) - 2020
- [j7]Kavita Radhakrishnan, Christine Julien, Matthew O'Hair, Thomas Baranowski, Grace Lee, Catherine Allen, Atami Sagna, Edison Thomaz, Miyong Kim:
Usability Testing of a Sensor-Controlled Digital Game to Engage Older Adults with Heart Failure in Physical Activity and Weight Monitoring. Appl. Clin. Inform. 11(05): 873-881 (2020) - [j6]Brooke Bell
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review. npj Digit. Medicine 3 (2020) - [c21]Keum San Chun, Hyoyoung Jeong
Eating Episode Detection with Jawbone-Mounted Inertial Sensing. EMBC 2020: 4361-4364 - [c20]Keum San Chun, Sarnab Bhattacharya, Caroline Dolbear, Jordon Kashanchi, Edison Thomaz:
Intraoral temperature and inertial sensing in automated dietary assessment: a feasibility study. ISWC 2020: 27-31 - [c19]Dawei Liang, Wenting Song, Edison Thomaz:
Characterizing the Effect of Audio Degradation on Privacy Perception And Inference Performance in Audio-Based Human Activity Recognition. MobileHCI 2020: 32:1-32:10 - [c18]Rebecca Adaimi, Ka Tai Ho, Edison Thomaz:
Usability of a Hands-Free Voice Input Interface for Ecological Momentary Assessment. PerCom Workshops 2020: 1-5 - [c17]Edison Thomaz:
Activiome: A System for Annotating First-Person Photos and Multimodal Activity Sensor Data. PerCom Workshops 2020: 1-6 - [i6]Congyu Wu, Hagen Fritz, Zoltán Nagy, Juan P. Maestre, Edison Thomaz, Christine Julien, Darla M. Castelli, Kaya de Barbaro, Gabriella M. Harari, R. Cameron Craddock, Kerry A. Kinney, Samuel D. Gosling, David M. Schnyer:
Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments. CoRR abs/2010.08457 (2020) - [i5]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:
Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data. CoRR abs/2010.09807 (2020)
2010 – 2019
- 2019
- [j5]Dawei Liang, Edison Thomaz:
Audio-Based Activities of Daily Living (ADL) Recognition with Large-Scale Acoustic Embeddings from Online Videos. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 17:1-17:18 (2019) - [j4]Rebecca Adaimi, Edison Thomaz:
Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 70:1-70:23 (2019) - [c16]Keum San Chun, Ashley B. Sanders, Rebecca Adaimi, Necole Streeper, David E. Conroy, Edison Thomaz:
Towards a generalizable method for detecting fluid intake with wrist-mounted sensors and adaptive segmentation. IUI 2019: 80-85 - [i4]Priyanka Khante, Mai Lee Chang, Domingo Martinez, Kaya de Barbaro, Edison Thomaz:
Quantifying the Chaos Level of Infants' Environment via Unsupervised Learning. CoRR abs/1912.04844 (2019) - 2018
- [j3]Keum San Chun, Sarnab Bhattacharya, Edison Thomaz:
Detecting Eating Episodes by Tracking Jawbone Movements with a Non-Contact Wearable Sensor. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 4:1-4:21 (2018) - [i3]Dawei Liang, Edison Thomaz:
AudioAR: Audio-Based Activity Recognition with Large-Scale Acoustic Embeddings from YouTube Videos. CoRR abs/1810.08691 (2018) - 2017
- [j2]Mariella Dimiccoli, Juan Marín, Edison Thomaz:
Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 132:1-132:18 (2017) - [j1]Eun Kyoung Choe, Saeed Abdullah
Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications. IEEE Pervasive Comput. 16(1): 74-84 (2017) - [c15]Edison Thomaz, Abdelkareem Bedri, Temiloluwa Prioleau
Exploring Symmetric and Asymmetric Bimanual Eating Detection with Inertial Sensors on the Wrist. DigitalBioMarker@MobiSys 2017: 21-26 - [p1]Edison Thomaz, Irfan A. Essa, Gregory D. Abowd:
Challenges and Opportunities in Automated Detection of Eating Activity. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 151-174 - 2016
- [b1]Edison Thomaz:
Automatic eating detection in real-world settings with commodity sensing. Georgia Institute of Technology, Atlanta, GA, USA, 2016 - [c14]Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M. Marlin:
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams. ICML 2016: 334-343 - 2015
- [c13]Felicia Cordeiro, Daniel A. Epstein, Edison Thomaz, Elizabeth S. Bales, Arvind Krishnaa Jagannathan, Gregory D. Abowd, James Fogarty:
Barriers and Negative Nudges: Exploring Challenges in Food Journaling. CHI 2015: 1159-1162 - [c12]Edison Thomaz, Irfan A. Essa, Gregory D. Abowd:
A practical approach for recognizing eating moments with wrist-mounted inertial sensing. UbiComp 2015: 1029-1040 - [c11]Abdelkareem Bedri, Apoorva Verlekar, Edison Thomaz, Valerie Avva, Thad Starner:
Detecting Mastication: A Wearable Approach. ICMI 2015: 247-250 - [c10]Daniel Castro
Predicting daily activities from egocentric images using deep learning. ISWC 2015: 75-82 - [c9]Abdelkareem Bedri, Apoorva Verlekar, Edison Thomaz, Valerie Avva, Thad Starner:
A wearable system for detecting eating activities with proximity sensors in the outer ear. ISWC 2015: 91-92 - [c8]Edison Thomaz, Cheng Zhang, Irfan A. Essa, Gregory D. Abowd:
Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study. IUI 2015: 427-431 - [c7]Vinay Bettadapura, Edison Thomaz, Aman Parnami
Leveraging Context to Support Automated Food Recognition in Restaurants. WACV 2015: 580-587 - [i2]Daniel Castro, Steven Hickson, Vinay Bettadapura, Edison Thomaz, Gregory D. Abowd, Henrik I. Christensen, Irfan A. Essa:
Predicting Daily Activities From Egocentric Images Using Deep Learning. CoRR abs/1510.01576 (2015) - [i1]Vinay Bettadapura, Edison Thomaz, Aman Parnami, Gregory D. Abowd, Irfan A. Essa:
Leveraging Context to Support Automated Food Recognition in Restaurants. CoRR abs/1510.02078 (2015) - 2014
- [c6]Jon E. Froehlich, Jakob Eg Larsen
Disasters in personal informatics: the unpublished stories of failure and lessons learned. UbiComp Adjunct 2014: 673-678 - 2013
- [c5]Edison Thomaz:
Practical food journaling. UbiComp (Adjunct Publication) 2013: 355-360 - [c4]Edison Thomaz, Aman Parnami
Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras. UbiComp 2013: 739-748 - [c3]Edison Thomaz, Aman Parnami
Feasibility of identifying eating moments from first-person images leveraging human computation. SenseCam 2013: 26-33 - [c2]Cheng Zhang, Aman Parnami
BackTap: robust four-point tapping on the back of an off-the-shelf smartphone. UIST (Adjunct Volume) 2013: 111-112 - 2012
- [c1]Edison Thomaz, Vinay Bettadapura, Gabriel Reyes, Megha Sandesh, Grant Schindler, Thomas Plötz, Gregory D. Abowd, Irfan A. Essa:
Recognizing water-based activities in the home through infrastructure-mediated sensing. UbiComp 2012: 85-94
Coauthor Index
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