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Angle-Based Joint and Individual Variation Explained [PDF]

open access: yesJournal of Multivariate Analysis, 2018
Integrative analysis of disparate data blocks measured on a common set of experimental subjects is a major challenge in modern data analysis. This data structure naturally motivates the simultaneous exploration of the joint and individual variation ...
Feng, Qing   +3 more
core   +6 more sources

A Multifunctional Joint Angle Sensor with Measurement Adaptability [PDF]

open access: yesSensors, 2013
The paper presents a multifunctional joint sensor with measurement adaptability for biological engineering applications, such as gait analysis, gesture recognition, etc.
Wei Quan, Datong Liu, Hua Wang
doaj   +3 more sources

Two-dimensional and three-dimensional techniques for determining the kinematic patterns for hindlimb obstacle avoidance during sheep locomotion [PDF]

open access: yesCiência Rural, 2021
: Analysis of locomotion is often used as a measure for impairment and recovery following experimental peripheral nerve injury. Compared to rodents, sheep offer several advantages for studying peripheral nerve regeneration.
Camila Cardoso Diogo   +10 more
doaj   +1 more source

Gait Recognition Using Joint Moments, Joint Angles,and Segment Angles. [PDF]

open access: yesJournal of Forensic Biomechanics, 2010
Recognition of gait patterns has been studied only moderately during the last decades. Different gait strategies have been described by applying different waveform anal- ysis techniques to biomechanical gait data and it has been shown that individuals can be identified using joint angles in the sagittal plane.
Larsen, Peter Kastmand   +4 more
openaire   +3 more sources

EMG and Joint Angle-Based Machine Learning to Predict Future Joint Angles at the Knee [PDF]

open access: yesSensors, 2021
Electromyography (EMG) is commonly used to measure electrical activity of the skeletal muscles. As exoskeleton technology advances, these signals may be used to predict human intent for control purposes. This study used an artificial neural network trained and tested with knee flexion angles and knee muscle EMG signals to predict knee flexion angles ...
Jordan Coker   +4 more
openaire   +3 more sources

Deep Learning Techniques Applied to Predict and Measure Finger Movement in Patients with Multiple Sclerosis

open access: yesApplied Sciences, 2021
This research focuses on the development of a system for measuring finger joint angles based on camera image and is intended for work within the field of medicine to track the movement and limits of hand mobility in multiple sclerosis.
Dmitry Viatkin   +2 more
doaj   +1 more source

Joint angle estimation with wavelet neural networks [PDF]

open access: yesScientific Reports, 2021
AbstractThis paper presents a wavelet neural network (WNN) based method to reduce reliance on wearable kinematic sensors in gait analysis. Wearable kinematic sensors hinder real-time outdoor gait monitoring applications due to drawbacks caused by multiple sensor placements and sensor offset errors.
Saaveethya Sivakumar   +4 more
openaire   +3 more sources

Individual Adjustment of Contraction Parameters for Effective Swing Assist Using a Pneumatic Artificial Muscle in the Elderly

open access: yesApplied Sciences, 2021
Leg swing during walking is controlled by hip and knee flexion motions. This study examined the effect of swing assist using a pneumatic artificial muscle (PAM) driver system on hip and knee motions and gait performance in the elderly.
Haruki Toda   +3 more
doaj   +1 more source

Kinematic characteristics of gait with different myopia: a cross-sectional study

open access: yesFrontiers in Public Health, 2023
BackgroundMyopia, a condition affecting approximately one-quarter of the world' s population, has been projected to double in prevalence by the year 2050.
Aochuan Xue   +5 more
doaj   +1 more source

Biomechanical Evaluation of Fingers Repetitive Voluntary Tasks in Chronic Stroke Survivors

open access: yesIEEE Access, 2023
A chronic stroke affects hand mobility limiting the normal functioning of the finger joints. The voluntary tasks with a repetitive motion can identify the limitation in the range of motion (ROM) to enhance the hand functioning of stroke survivors ...
Muhammad Adeel   +3 more
doaj   +1 more source

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