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2020 – today
- 2024
[i4]Rebecca Adaimi, Abdelkareem Bedri, Jun Gong, Richard Kang, Joanna Arreaza-Taylor, Gerri-Michelle Pascual, Michael Ralph, Gierad Laput:
Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices. CoRR abs/2402.03714 (2024)- 2023
- [c5]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 - 2022
- [j4]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) - [j3]Rebecca Adaimi
, Edison Thomaz:
Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks. Sensors 22(18): 6881 (2022) - [c4]Dawei Liang, Guihong Li, Rebecca Adaimi, Radu Marculescu, Edison Thomaz:
AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models. ISWC 2022: 44-48 - [i3]Rebecca Adaimi, Edison Thomaz:
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks. CoRR abs/2203.05692 (2022) - [i2]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) - 2021
- [j2]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) - 2020
- [c3]Keum San Chun, Hyoyoung Jeong, Rebecca Adaimi, Edison Thomaz:
Eating Episode Detection with Jawbone-Mounted Inertial Sensing. EMBC 2020: 4361-4364 - [c2]Rebecca Adaimi, Ka Tai Ho, Edison Thomaz:
Usability of a Hands-Free Voice Input Interface for Ecological Momentary Assessment. PerCom Workshops 2020: 1-5 - [i1]Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Andres Perez-Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia-Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford:
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. CoRR abs/2011.07406 (2020)
2010 – 2019
- 2019
- [j1]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) - [c1]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
Coauthor Index
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