Results 31 to 40 of about 9,977 (122)

Additional file 1 of Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients

, 2021
Additional file 1. Flow chart summarizing the presented work.
Roth, Nils, Küderle, Arne, Ullrich, Martin, Gladow, Till, Marxreiter, Franz, Klucken, Jochen, Eskofier, Bjoern M., Kluge, Felix   +7 more
openaire   +1 more source

An Inertial Sensor-Based Gait Analysis Pipeline for the Assessment of Real-World Stair Ambulation Parameters

Sensors, 2021
Climbing stairs is a fundamental part of daily life, adding additional demands on the postural control system compared to level walking. Although real-world gait analysis studies likely contain stair ambulation sequences, algorithms dedicated to the ...
Nils Roth, Arne Küderle, Dominik Prossel, Heiko Gassner, Bjoern M. Eskofier, Felix Kluge   +5 more
doaj   +1 more source

Associations between Racing Thoroughbred Movement Asymmetries and Racing and Training Direction

Animals
Background: Racehorses commonly train and race in one direction, which may result in gait asymmetries. This study quantified gait symmetry in two cohorts of Thoroughbreds differing in their predominant exercising direction; we hypothesized that there ...
Bronte Forbes, Winnie Ho, Rebecca S. V. Parkes, Maria Fernanda Sepulveda Caviedes, Thilo Pfau, Daniel R. Martel   +5 more
doaj   +1 more source

Deep Learning-Based Automatic Segmentation for Reconstructing Vertebral Anatomy of Healthy Adolescents and Patients With Adolescent Idiopathic Scoliosis (AIS) Using MRI Data

IEEE Access, 2021
MRI is a non-ionising imaging modality that could be used as an alternative to Xray-based imaging methods to accurately assess the 3D morphology of the vertebral anatomy of scoliosis patients.
M. Antico, J. P. Little, H. Jennings, G. Askin, R. D. Labrom, D. Fontanarosa, P. Pivonka   +6 more
doaj   +1 more source

What Lies Beneath One’s Feet? Terrain Classification Using Inertial Data of Human Walk

Applied Sciences, 2019
The objective of this study was to investigate if the inertial data collected from normal human walk can be used to reveal the underlying terrain types.
Muhammad Zeeshan Ul Hasnain Hashmi, Qaiser Riaz, Mehdi Hussain, Muhammad Shahzad   +3 more
doaj   +1 more source

Motion Smoothness Analysis of the Gait Cycle, Segmented by Stride and Associated with the Inertial Sensors’ Locations

Sensors
Portable monitoring devices based on Inertial Measurement Units (IMUs) have the potential to serve as quantitative assessments of human movement. This article proposes a new method to identify the optimal placements of the IMUs and quantify the smoothness of the gait. First, it identifies gait events: foot-strike (FS) and foot-off (FO).
Leonardo Eliu Anaya-Campos, Luis Pastor Sánchez-Fernández, Ivett Quiñones-Urióstegui   +2 more
openaire   +3 more sources

Analysis of the Recent AI for Pedestrian Navigation With Wearable Inertial Sensors

IEEE Journal of Indoor and Seamless Positioning and Navigation, 2023
Wearable devices embedding inertial sensors enable autonomous, seamless, and low-cost pedestrian navigation. As appealing as it is, the approach faces several challenges: measurement noises, different device-carrying modes, different user dynamics, and ...
Hanyuan Fu, Valerie Renaudin, Yacouba Kone, Ni Zhu   +3 more
doaj   +1 more source

Mobile Spatiotemporal Gait Segmentation Using an Ear-Worn Motion Sensor and Deep Learning

Sensors
Mobile health technologies enable continuous, quantitative assessment of mobility and gait in real-world environments, facilitating early diagnoses of gait disorders, disease progression monitoring, and prediction of adverse events like falls ...
Julian Decker, Lukas Boborzi, Roman Schniepp, Klaus Jahn, Max Wuehr   +4 more
doaj   +1 more source

Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data

Remote Sensing, 2020
The center pivot irrigation system (CPIS) is a modern irrigation technique widely used in precision agriculture due to its high efficiency in water consumption and low labor compared to traditional irrigation methods.
Anesmar Olino de Albuquerque, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, Pablo Pozzobon de Bem, Pedro Henrique Guimarães Ferreira, Rebeca dos Santos de Moura, Cristiano Rosa Silva, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães   +8 more
doaj   +1 more source

Retrospective Detection and Temporal Localization of Sensor-Fault and Valve-Sticking Signatures in Piston Aircraft Flight Logs

IEEE Access
This paper presents a dense time-series segmentation framework for retrospectively detecting and temporally localizing sensor-fault-consistent and valve-sticking-consistent signatures in piston-aircraft engine flight logs.
Hady Ahmady Phoulady, Adrian Phoulady
doaj   +1 more source