Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition
B Khaertdinov, S Asteriadis - 2023 IEEE International Joint …, 2023 - ieeexplore.ieee.org
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 …
sensor-based Human Activity Recognition (HAR) in order to learn deep representations …
On Training Strategies for LSTMs in Sensor-Based Human Activity Recognition
Human Activity Recognition (HAR) is one of the core research areas in mobile and wearable
computing. With the application of deep learning (DL) techniques such as CNN, recognizing …
computing. With the application of deep learning (DL) techniques such as CNN, recognizing …
[PDF][PDF] Feature representation learning for human activity recognition
B Khaertdinov - 2024 - cris.maastrichtuniversity.nl
Human movements and activities have long been recognized as crucial elements of
nonverbal communication. They serve as a powerful means of transmitting information …
nonverbal communication. They serve as a powerful means of transmitting information …