Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion

A Filippeschi, N Schmitz, M Miezal, G Bleser, E Ruffaldi… - Sensors, 2017 - mdpi.com
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 …

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 …

OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations

M Al Borno, J O'Day, V Ibarra, J Dunne, A Seth… - … of neuroengineering and …, 2022 - Springer
Background The ability to measure joint kinematics in natural environments over long
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 …

A machine learning framework for gait classification using inertial sensors: Application to elderly, post-stroke and huntington's disease patients

A Mannini, D Trojaniello, A Cereatti, AM Sabatini - Sensors, 2016 - mdpi.com
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 gait mechanics based on simulated and measured IMU data using an artificial neural network

M Mundt, A Koeppe, S David, T Witter… - … in bioengineering and …, 2020 - frontiersin.org
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 …

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 …

Wrist-worn and chest-strap wearable devices: Systematic review on accuracy and metrological characteristics

G Cosoli, S Spinsante, L Scalise - Measurement, 2020 - Elsevier
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 …

Prediction of lower limb joint angles and moments during gait using artificial neural networks

M Mundt, W Thomsen, T Witter, A Koeppe… - Medical & biological …, 2020 - Springer
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 …

Fifteen years of wireless sensors for balance assessment in neurological disorders

A Zampogna, I Mileti, E Palermo, C Celletti, M Paoloni… - Sensors, 2020 - mdpi.com
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 …