no code implementations • 6 Feb 2024 • Rebecca Adaimi, Abdelkareem Bedri, Jun Gong, Richard Kang, Joanna Arreaza-Taylor, Gerri-Michelle Pascual, Michael Ralph, Gierad Laput
Wearable sensors have permeated into people's lives, ushering impactful applications in interactive systems and activity recognition.
no code implementations • 11 Mar 2022 • Rebecca Adaimi, Edison Thomaz
To push this field forward, we build on recent advances in the area of continual machine learning and design a lifelong adaptive learning framework using Prototypical Networks, LAPNet-HAR, that processes sensor-based data streams in a task-free data-incremental fashion and mitigates catastrophic forgetting using experience replay and continual prototype adaptation.
no code implementations • 14 Nov 2020 • Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Perez Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford
The results indicate that the VAE model is a promising approach for actigraphy data analysis for mental health outcomes in long-term studies.