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 | 45 | 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 | 28 | 2019 |
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 | 23 | 2021 |
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 | 20 | 2022 |
Eating episode detection with jawbone-mounted inertial sensing K San Chun, H Jeong, R Adaimi, E Thomaz 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 19 | 2020 |
Lifelong adaptive machine learning for sensor-based human activity recognition using prototypical networks R Adaimi, E Thomaz Sensors 22 (18), 6881, 2022 | 8 | 2022 |
Audioimu: Enhancing inertial sensing-based activity recognition with acoustic models D Liang, G Li, R Adaimi, R Marculescu, E Thomaz Proceedings of the 2022 ACM International Symposium on Wearable Computers, 44-48, 2022 | 7 | 2022 |
Usability of a hands-free voice input interface for ecological momentary assessment R Adaimi, KT Ho, E Thomaz 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 7 | 2020 |
Using convolutional variational autoencoders to predict post-trauma health outcomes from actigraphy data AS Cakmak, N Thigpen, G Honke, EP Alday, AB Rad, R Adaimi, ... arXiv preprint arXiv:2011.07406, 2020 | 4 | 2020 |
Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach D Liang, Z Xu, Y Chen, R Adaimi, D Harwath, E Thomaz arXiv preprint arXiv:2203.11294, 2022 | 1 | 2022 |
Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices R Adaimi, A Bedri, J Gong, R Kang, J Arreaza-Taylor, GM Pascual, ... arXiv preprint arXiv:2402.03714, 2024 | | 2024 |
A Dataset for Foreground Speech Analysis With Smartwatches In Everyday Home Environments D Liang, Z Xu, Y Chen, R Adaimi, D Harwath, E Thomaz 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023 | | 2023 |
Towards lifelong and long-term sensor-based human activity recognition R Adaimi | | 2023 |
Data for: Ok Google, What Am I Doing? Acoustic Activity Recognition Bounded by Conversational Assistant Interactions R Adaimi, H Yong, E Thomaz Texas Data Repository, 2021 | | 2021 |