Results 71 to 80 of about 23,341,595 (150)

Gait initiation and termination strategies in patients with Prader-Willi syndrome

Journal of NeuroEngineering and Rehabilitation, 2017
Background Gait Initiation (GI) is a functional task representing one of the first voluntary destabilizing behaviours observed in the development of a locomotor pattern as the whole body centre of mass transitions from a large to a small base of support.
Veronica Cimolin, Nicola Cau, Manuela Galli, Cristina Santovito, Graziano Grugni, Paolo Capodaglio   +5 more
doaj   +1 more source

Frontal Plane Knee Kinematics and Kinetics During Gait in Children and Youth with Achondroplasia—Correspondence with Static X-Ray Images and Relevance to Symptoms

Children
Background: Frontal knee malalignments are hallmarks of Achondroplasia (ACH), along with disproportional short stature. Typically, X-rays are used to assess them, but 3D gait analysis (3DGA) may additionally be used to evaluate dynamic knee function. The
Matthias Hösl, Antonia Thamm, Faik Kamel Afifi, Sean Nader   +3 more
doaj   +1 more source

Spatiotemporal Flood Hazard Classification in Bangkok Using Graph Convolutional Network and Temporal Fusion Transformer

IEEE Access
Urban flooding is a significant and increasing phenomenon in Bangkok that threatens human life. High population density, low elevation, and seasonal monsoons contribute to increased vulnerability to flooding.
Pakpoom Chaimook, Nirattaya Khamsemanan, Cholwich Nattee, Alice Sharp   +3 more
doaj   +1 more source

Automated human recognition by gait using neural network [PDF]

, 2008
We describe a new method for recognizing humans by their gait using back-propagation neural network. Here, the gait motion is described as rhythmic and periodic motion, and a 2D stick figure is extracted from gait silhouette by motion information with ...
Nixon, M.S., Ki-Young Moon, Jang-Hee Yoo, Mark S. Nixon, Doosung Hwang   +4 more
core   +1 more source

Patch Attention: A Lightweight, Plug-and-Play Input-Level Attention Fusing Static Spatial Priors and Dynamic Saliency

IEEE Access
Accurate classification of small targets in high-resolution medical images remains challenging because salient signals are diluted by extensive background and existing methods have structural limitations.
Shukai Ding, Nirattaya Khamsemanan, Cholwich Nattee, Piya Limcharoen   +3 more
doaj   +1 more source

Measuring Dynamic Leg Length during Normal Gait

Sensors, 2018
Dynamic leg length [DLL] is a resultant factor of anatomic leg length and lower limb movement that is measured by the distance from the hip to the heel, ankle, and forefoot during the gait cycle.
Sam Khamis, Shmuel Springer, Dror Ovadia, Sima Krimus, Eli Carmeli   +4 more
doaj   +1 more source

Advances in Automatic Gait Recognition

, 2004
Automatic recognition by gait is subject to increasing interest and has the unique capability to recognize people at a distance when other biometrics are obscured.
Nixon, M. S., Carter, J. N.
core   +1 more source

Objective Gait Analysis Using a Single-Point Wearable Sensor to Assess Lumbar Spine Patients Pre- and Postoperatively

Surgical Techniques Development
Background: Outcome measurement in lumbar surgery is traditionally performed using patient questionnaires that may be limited by subjectivity. Objective gait analysis may supplement patient assessment but must be clinically viable.
R Dineth Fonseka, Pragadesh Natarajan, Monish Movin Maharaj, Lianne Koinis, Luke Sy, Ralph Jasper Mobbs   +5 more
doaj   +1 more source

New Area Based Metrics for Automatic Gait Recognition

, 2001
Gait is a new biometric aimed to recognise a subject by the manner in which they walk. Gait has several advantages over other biometrics, most notably that it is non-invasive and perceivable at a distance when other biometrics are obscured.
Foster, Jeff P., Prudel-Bennett, Adam, Nixon, Mark S.   +2 more
core   +2 more sources

Characterization of Upper Extremity Joint Angle Error for Virtual Reality Motion Capture Compared to Infrared Motion Capture

Applied Sciences
Virtual reality (VR) offers built-in wearable sensor-based tracking capabilities. Current research focusses on position and orientation error, with limited results on more clinically relevant metrics, such as joint angles.
Skyler A. Barclay, Trent Brown, Tessa M. Hill, Ann Smith, Timothy Reissman, Allison L. Kinney, Megan E. Reissman   +6 more
doaj   +1 more source