Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao… - Information …, 2022 - Elsevier
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review

V Camomilla, E Bergamini, S Fantozzi, G Vannozzi - Sensors, 2018 - mdpi.com
Recent technological developments have led to the production of inexpensive, non-invasive,
miniature magneto-inertial sensors, ideal for obtaining sport performance measures during …

40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges

M Nazarahari, H Rouhani - Information Fusion, 2021 - Elsevier
Technological developments over the past two decades have resulted in the development of
more accurate and lightweight low-cost magnetic and inertial measurement units (MIMUs) …

Wearable inertial sensors for human movement analysis

M Iosa, P Picerno, S Paolucci… - Expert review of medical …, 2016 - Taylor & Francis
Introduction: The present review aims to provide an overview of the most common uses of
wearable inertial sensors in the field of clinical human movement analysis. Areas covered …

Wearable inertial sensors for human motion analysis: A review

IH Lopez-Nava, A Munoz-Melendez - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
This paper reviews the research literature on human motion analysis using inertial sensors
with the aim to find out: which configuration of sensors have been used to measure human …

An open-source and wearable system for measuring 3D human motion in real-time

P Slade, A Habib, JL Hicks… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Objective: Analyzing human motion is essential for diagnosing movement disorders and
guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease …

Analysis of the accuracy of ten algorithms for orientation estimation using inertial and magnetic sensing under optimal conditions: One size does not fit all

M Caruso, AM Sabatini, D Laidig, T Seel, M Knaflitz… - Sensors, 2021 - mdpi.com
The orientation of a magneto and inertial measurement unit (MIMU) is estimated by means
of sensor fusion algorithms (SFAs) thus enabling human motion tracking. However, despite …

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 …

A novel Kalman filter for human motion tracking with an inertial-based dynamic inclinometer

G Ligorio, AM Sabatini - IEEE Transactions on Biomedical …, 2015 - ieeexplore.ieee.org
Goal: Design and development of a linear Kalman filter to create an inertial-based
inclinometer targeted to dynamic conditions of motion. Methods: The estimation of the body …

An overview of smart shoes in the internet of health things: gait and mobility assessment in health promotion and disease monitoring

BM Eskofier, SI Lee, M Baron, A Simon, CF Martindale… - Applied Sciences, 2017 - mdpi.com
New smart technologies and the internet of things increasingly play a key role in healthcare
and wellness, contributing to the development of novel healthcare concepts. These …