Rebecca Adaimi

Orcid: 0000-0002-6685-9016

According to our database1, Rebecca Adaimi authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

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Bibliography

2024
Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices.
CoRR, 2024

2023
A Dataset for Foreground Speech Analysis With Smartwatches In Everyday Home Environments.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks.
Sensors, 2022

Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach.
CoRR, 2022

AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models.
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

2021
Ok Google, What Am I Doing?: Acoustic Activity Recognition Bounded by Conversational Assistant Interactions.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

2020
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data.
CoRR, 2020

Usability of a Hands-Free Voice Input Interface for Ecological Momentary Assessment.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Eating Episode Detection with Jawbone-Mounted Inertial Sensing.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Towards a generalizable method for detecting fluid intake with wrist-mounted sensors and adaptive segmentation.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019


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