1 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.SP2022★ 1 cited
Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
Setareh Rahimi Taghanaki, Michael Rainbow, Ali Etemad
In this paper, we propose a self-supervised learning solution for human activity recognition with smartphone accelerometer data. We aim to develop a model that learns strong repres…
cs.LG2021★ 1 cited
Wearable-based Classification of Running Styles with Deep Learning
Setareh Rahimi Taghanaki, Michael Rainbow, Ali Etemad
Automatic classification of running styles can enable runners to obtain feedback with the aim of optimizing performance in terms of minimizing energy expenditure, fatigue, and risk…