Feb 22, 2023 · This paper proposed 2D and 3D Convolutional Neural Networks, which are trained on images and videos of an open-access dataset consisting of 13 subjects' body ...
We target automatic posture detection which is a key module in all pressure ulcer monitoring platforms. Using data collected from a commercially-available ...
Oct 22, 2024 · We target automatic posture detection which is a key module in all pressure ulcer monitoring platforms. Using data collected from a commercially ...
Dec 19, 2023 · This study proposes a system that classifies the in- bed posture in a low-light setting (3-5 lux) using the Convolutional Neural Network (CNN) algorithm.
In-Bed Posture Classification Using Deep Neural Network. Overview of attention for article published in Sensors, February 2023. Altmetric Badge. Mentioned by.
A human body lying posture (HBLP) monitoring system is essential to reschedule posture change for patients. Video surveillance, the conventional method of HBLP ...
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The main goal of this paper is to detect the three main body positions: supine, left, and right. We compare the use of image and video data through 2D and 3D ...
Finally we create a basic neural network to test the viability of classifying the postures. img_part_1. Part 2 - In-Bed posture classification using CNN. This ...
In this paper, we propose the development of a converted CNN-to-SNN network for sleeping posture recognition algorithm supported by preprocessing technique.
Missing: Deep | Show results with:Deep
Sep 2, 2024 · CNNs excel in tasks like image classification, object detection, and segmentation by automatically extracting and learning features from raw images.