Results 41 to 50 of about 9,977 (122)

Detection of Planting Systems in Olive Groves Based on Open-Source, High-Resolution Images and Convolutional Neural Networks

Agronomy, 2022
This paper aims to evaluate whether an automatic analysis with deep learning convolutional neural networks techniques offer the ability to efficiently identify olive groves with different intensification patterns by using very high-resolution aerial ...
Cristina Martínez-Ruedas, Samuel Yanes-Luis, Juan Manuel Díaz-Cabrera, Daniel Gutiérrez-Reina, Rafael Linares-Burgos, Isabel Luisa Castillejo-González   +5 more
doaj   +1 more source

Deep learning-based stride segmentation with wearable sensors: effects of data quantity, sensor location, and task

IEEE Journal of Biomedical and Health Informatics
Abstract Accurate stride segmentation from wearable sensors is foundational for digital gait assessment tools, yet systematic evaluations of deep learning approaches across varied real-world mobility tasks remain limited. We developed and assessed Temporal Convolutional Network (TCN) models for stride segmentation using data from 121 ...
Anthony J. Anderson, Michael A. Gonzalez 0002, David Eguren, Naima Khan, Isabella Zuccaroli, Siegfried Hirczy, Valerie E. Kelly, Brittney C. Muir, Kimberly Kontson   +8 more
openaire   +2 more sources

Longitudinal Walking Analysis in Hemiparetic Patients Using Wearable Motion Sensors: Is There Convergence Between Body Sides?

Frontiers in Bioengineering and Biotechnology, 2018
Background: Longitudinal movement parameter analysis of hemiparetic patients over several months could reveal potential recovery trends and help clinicians adapting therapy strategies to maximize recovery outcome. Wearable sensors offer potential for day-
Adrian Derungs, Corina Schuster-Amft, Corina Schuster-Amft, Corina Schuster-Amft, Oliver Amft   +4 more
doaj   +1 more source

MCMC algorithm based on Markov random field in image segmentation.

PLoS ONE
In the realm of digital image applications, image processing technology occupies a pivotal position, with image segmentation serving as a foundational component.
Huazhe Wang, Li Ma
doaj   +1 more source

Uncovering the Kinematic Signature of Freezing of Gait in Parkinson’s Disease Through Wearable Inertial Sensors

Sensors
Parkinson’s disease (PD) is a disorder that causes a decrease in motor skills. Among the symptoms that have been observed, the most significant is the occurrence of Freezing of Gait (FoG), which manifests as an abrupt cessation of walking.
Francesco Castelli Gattinara Di Zubiena, Alessandro Zampogna, Martina Patera, Giovanni Cusolito, Ludovica Apa, Ilaria Mileti, Antonio Cannuli, Antonio Suppa, Marco Paoloni, Zaccaria Del Prete, Eduardo Palermo   +10 more
doaj   +1 more source

Comparative analysis of stomatal pore instance segmentation: Mask R-CNN vs. YOLOv8 on Phenomics Stomatal dataset

Frontiers in Plant Science
This study conducts a rigorous comparative analysis between two cutting-edge instance segmentation methods, Mask R-CNN and YOLOv8, focusing on stomata pore analysis.
Thanh Tuan Thai, Thanh Tuan Thai, Thanh Tuan Thai, Ki-Bon Ku, Anh Tuan Le, Anh Tuan Le, San Su Min Oh, Ngo Hoang Phan, Ngo Hoang Phan, In-Jung Kim, Yong Suk Chung, Yong Suk Chung   +11 more
doaj   +1 more source

Real-time forecasting of pathological gait via IMU navigation: a few-shot and generative learning framework for wearable devices

Discover Electronics
Current gait analysis faces challenges in various aspects, including limited and poorly labeled data within existing wearable electronics databases, difficulties in collecting patient data due to privacy concerns, and the inadequacy of the Zero-Velocity ...
Wenwen Zhang, Hao Zhang, Zenan Jiang, Amir Servati, Peyman Servati   +4 more
doaj   +1 more source

Comparative Analysis between IMU Signal-based Neural Network Models for Energy Expenditure Estimation [PDF]

한국정밀공학회지
Estimating energy expenditure is essential in monitoring the intensity of physical activity and health status. Energy expenditure can be estimated based on wearable sensors such as inertial measurement unit (IMU).
Chang June Lee, Jung Keun Lee
doaj   +1 more source

Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors

Journal of NeuroEngineering and Rehabilitation
Background Clinical gait analysis plays a pivotal role in diagnosing and treating walking impairments. Inertial measurement units (IMUs) offer a low-cost, portable, and practical alternative to traditional gait analysis equipment, making these techniques
Francesco Lanotte, Shusuke Okita, Megan K. O’Brien, Arun Jayaraman   +3 more
doaj   +1 more source

ST-segment elevation myocardial infarction management: great strides but still room for improvement

European Heart Journal, 2021
Cindy L Grines, Sameer Mehta
openaire   +2 more sources