no code implementations • 14 Apr 2023 • Bulat Khaertdinov, Stylianos Asteriadis
In recent years, self-supervised learning (SSL) frameworks have been extensively applied to sensor-based Human Activity Recognition (HAR) in order to learn deep representations without data annotations.
no code implementations • 19 Mar 2023 • Alexandros Doumanoglou, Stylianos Asteriadis, Dimitrios Zarpalas
An important line of research attempts to explain CNN image classifier predictions and intermediate layer representations in terms of human understandable concepts.
1 code implementation • 7 Oct 2022 • Bulat Khaertdinov, Stylianos Asteriadis
Automated Human Activity Recognition has long been a problem of great interest in human-centered and ubiquitous computing.
1 code implementation • 20 May 2022 • Razvan Brinzea, Bulat Khaertdinov, Stylianos Asteriadis
We extend a number of recent contrastive self-supervised approaches for the task of Human Activity Recognition, leveraging inertial and skeleton data.
no code implementations • 15 Oct 2019 • Dario Dotti, Mirela Popa, Stylianos Asteriadis
Experiments on two public datasets demonstrate the effectiveness of jointly modeling the mutual Person-Context information, outperforming the state-of-the art-results for personality recognition in two different scenarios.