| 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 | 309 | 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 | 233 | 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 | 125 | 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 | 115 | 2015 |
| 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 | 75 | 2013 |
| 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 | 70 | 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 | 63 | 2017 |
| 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 | 58 | 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 | 57 | 2015 |
| 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 | 56 | 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 | 48 | 2015 |
| 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), 1-14, 2020 | 47 | 2020 |
| 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 | 37 | 2018 |
| 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 | 34 | 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 | 33 | 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 | 24 | 2017 |
| 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 | 18 | 2019 |
| 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 | 17 | 2019 |
| Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams BMM Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar International Conference on Machine Learning (ICML) 2016, 2016 | 16* | 2016 |
| BackTap: robust four-point tapping on the back of an off-the-shelf smartphone C Zhang, A Parnami, C Southern, E Thomaz, G Reyes, R Arriaga, ... Proceedings of the adjunct publication of the 26th annual ACM symposium on …, 2013 | 16 | 2013 |
Gregory D. AbowdDean, College of Engineering, Northeastern UniversityVerified email at northeastern.edu
