AUTO-HAR: An adaptive human activity recognition framework using an automated CNN architecture design
Convolutional neural networks (CNNs) have demonstrated exceptional results in the
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …
Communication-efficient privacy-preserving federated learning via knowledge distillation for human activity recognition systems
Emerging Internet of Things (IoT) applications, such as sensor-based Human Activity
Recognition (HAR) systems, require efficient machine learning solutions due to their …
Recognition (HAR) systems, require efficient machine learning solutions due to their …
Recognition system of human activities based on time-frequency features of accelerometer data
Y Xia, J Ma, CY Yu, XH Ren… - … and Computer Vision …, 2022 - ieeexplore.ieee.org
With the development of Micro-Electro-Mechanical System, wearable sensor-based human
activity recognition systems have important applications in various fields such as health …
activity recognition systems have important applications in various fields such as health …
Značilke pri razpoznavanju aktivnosti dnevnega življenja v pametnih domovih
Slovenija se kot večina razvitih držav sooča s staranjem prebivalstva. Poraja se vprašanje,
kako starostnikom zagotoviti varno bivanje v domačem okolju. Tehnološki razvoj na …
kako starostnikom zagotoviti varno bivanje v domačem okolju. Tehnološki razvoj na …