Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion
Motion tracking based on commercial inertial measurements units (IMUs) has been widely
studied in the latter years as it is a cost-effective enabling technology for those applications …
studied in the latter years as it is a cost-effective enabling technology for those applications …
Use of wearable sensor technology in gait, balance, and range of motion analysis
S Díaz, JB Stephenson, MA Labrador - Applied Sciences, 2019 - mdpi.com
More than 8.6 million people suffer from neurological disorders that affect their gait and
balance. Physical therapists provide interventions to improve patient's functional outcomes …
balance. Physical therapists provide interventions to improve patient's functional outcomes …
OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations
Background The ability to measure joint kinematics in natural environments over long
durations using inertial measurement units (IMUs) could enable at-home monitoring and …
durations using inertial measurement units (IMUs) could enable at-home monitoring and …
Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis
X Robert-Lachaine, H Mecheri, C Larue… - Medical & biological …, 2017 - Springer
The potential of inertial measurement units (IMUs) for ergonomics applications appears
promising. However, previous IMUs validation studies have been incomplete regarding …
promising. However, previous IMUs validation studies have been incomplete regarding …
A machine learning framework for gait classification using inertial sensors: Application to elderly, post-stroke and huntington's disease patients
Machine learning methods have been widely used for gait assessment through the
estimation of spatio-temporal parameters. As a further step, the objective of this work is to …
estimation of spatio-temporal parameters. As a further step, the objective of this work is to …
Estimation of gait mechanics based on simulated and measured IMU data using an artificial neural network
Enhancement of activity is one major topic related to the aging society. Therefore, it is
necessary to understand people's motion and identify possible risk factors during activity …
necessary to understand people's motion and identify possible risk factors during activity …
Musculoskeletal disorders as a fatigue failure process: evidence, implications and research needs
S Gallagher, MC Schall - New Paradigms in Ergonomics, 2020 - taylorfrancis.com
Mounting evidence suggests that musculoskeletal disorders (MSDs) may be the result of a
fatigue failure process in musculoskeletal tissues. Evaluations of MSD risk in …
fatigue failure process in musculoskeletal tissues. Evaluations of MSD risk in …
Wrist-worn and chest-strap wearable devices: Systematic review on accuracy and metrological characteristics
This paper analyses the state of the art on accuracy and metrological characteristics of wrist-
worn and chest-strap wearable devices, in comparison with reference instruments. Basing …
worn and chest-strap wearable devices, in comparison with reference instruments. Basing …
Prediction of lower limb joint angles and moments during gait using artificial neural networks
In recent years, gait analysis outside the laboratory attracts more and more attention in
clinical applications as well as in life sciences. Wearable sensors such as inertial sensors …
clinical applications as well as in life sciences. Wearable sensors such as inertial sensors …
Fifteen years of wireless sensors for balance assessment in neurological disorders
Balance impairment is a major mechanism behind falling along with environmental hazards.
Under physiological conditions, ageing leads to a progressive decline in balance control per …
Under physiological conditions, ageing leads to a progressive decline in balance control per …