In this study, we present a Personalized HAR (PHAR) framework that increases activity recognition accuracy with Object Detection (OD). First, we demonstrate the ...
Jan 25, 2024 · We propose an innovative auto-supervised domain adaptation approach based on particle filter theory, aiming to automatically construct a personalized HAR ...
In this study, we present a Personalized HAR (PHAR) framework that increases activity recognition accuracy with Object Detection (OD). First, we demonstrate the ...
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A Deep Learning Model for Personalised Human Activity Recognition. This repository contains the code I developed for my Master's Degree in Computer Engineering ...
In this study, we present a Personalized HAR (PHAR) framework that increases activity recognition accuracy with Object Detection (OD). First, we demonstrate the ...
Jan 8, 2024 · Human Activity Recognition (HAR) has emerged as a vital measure of quality of life, holding significant implications for human health.
Self-Supervised Federated Learning for Personalized Human Activity ...
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Therefore, we propose a framework called self-supervised federated learning for personalized human activity recognition (SSF-HAR) to implement private PHAR.
In this study, we develop a transfer learning framework using convolutional neural networks to build a personalized activity recognition model with minimal ...
To address this problem, we propose a lightweight personalization process that enables an HAR model adapt for various users, some of them ever unseen before.
In this paper, we focus on on-device human activity recognition (HAR) with smartphone motion sensors1 using DL algorithms. Often, a general model is trained ...