This paper explores the potential of using point cloud data gathered from wearable depth cameras for on-body activity recognition. We discuss effects of ...
Human Activity Recognition (HAR) with body-worn sensors has been studied intensively in the past decade. Existing ap- proaches typically rely on data from ...
Oct 8, 2018 · Feasibility of human activity recognition using wearable depth cameras ; Identifikator, ISBN: 978-1-4503-5967-2 KITopen-ID: 1000128785.
Sep 12, 2024 · In this study, we conduct an extensive literature review on recent, top-performing techniques in human activity recognition based on wearablesensors.
Dec 28, 2024 · Scientists suggest a deep learning-based human activity recognition system based on WiFi signals to detect activity behind walls. It uses the ...
This research analyzes the feasibility of deep learning models for both position-dependent and position-independent HAR.
This paper systematically categorizes and summarizes existing work that introduces deep learning methods for wearables-based HAR and provides a comprehensive ...
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Apr 14, 2024 · Among these techniques, human action recognition (HAR) is a significant field in extracting deep insights about human behavior from raw sensor ...
Oct 1, 2023 · A new deep learning-based system is proposed for recognizing human actions in this research. Initially, a fuzzy logic-based genetic algorithm (FGA) is used for ...
Feb 24, 2022 · This survey aims to examine all aspects of HAR based on wearable sensors, thus analyzing the applications, challenges, datasets, approaches, and components.