| 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 | 403 | 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 | 341 | 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 | 155 | 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 | 132 | 2015 |
| 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 | 121 | 2017 |
| 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 | 113 | 2019 |
| 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 | 102 | 2020 |
| 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 | 102 | 2018 |
| 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 | 91 | 2013 |
| 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 | 81 | 2018 |
| 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 | 76 | 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 | 73 | 2015 |
| 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 | 73 | 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 | 63 | 2013 |
| 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 | 62 | 2019 |
| Leveraging sound and wrist motion to detect activities of daily living with commodity smartwatches S Bhattacharya, R Adaimi, E Thomaz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 50 | 2022 |
| 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 | 47 | 2021 |
| Infant crying detection in real-world environments X Yao, M Micheletti, M Johnson, E Thomaz, K de Barbaro ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 46 | 2022 |
| HAR-GCNN: Deep graph CNNs for human activity recognition from highly unlabeled mobile sensor data A Mohamed, F Lejarza, S Cahail, C Claudel, E Thomaz 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 42 | 2022 |
| 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 | 42 | 2012 |
Gregory D. AbowdDean, College of Engineering, Northeastern UniversityVerified email at northeastern.edu
