Wearable sensors for real-time kinematics analysis in sports: A review

M Rana, V Mittal - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Wearable Inertial sensors have revolutionised the way kinematics analysis is performed in
sports. This paper aims to present a comprehensive review of the literature related to the use …

Sport biomechanics applications using inertial, force, and EMG sensors: A literature overview

J Taborri, J Keogh, A Kos, A Santuz… - Applied bionics and …, 2020 - Wiley Online Library
In the last few decades, a number of technological developments have advanced the spread
of wearable sensors for the assessment of human motion. These sensors have been also …

A markerless system for gait analysis based on OpenPose library

E D'Antonio, J Taborri, E Palermo… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
The paper reports the performance of a low-cost markerless system for 3D human motion
detection and tracking, consisting of the open-source library OpenPose, two webcams and a …

Measuring biomechanical risk in lifting load tasks through wearable system and machine-learning approach

I Conforti, I Mileti, Z Del Prete, E Palermo - Sensors, 2020 - mdpi.com
Ergonomics evaluation through measurements of biomechanical parameters in real time
has a great potential in reducing non-fatal occupational injuries, such as work-related …

A machine-learning approach to measure the anterior cruciate ligament injury risk in female basketball players

J Taborri, L Molinaro, A Santospagnuolo, M Vetrano… - Sensors, 2021 - mdpi.com
Anterior cruciate ligament (ACL) injury represents one of the main disorders affecting
players, especially in contact sports. Even though several approaches based on artificial …

Using a motion sensor to categorize nonspecific low back pain patients: a machine learning approach

M Abdollahi, S Ashouri, M Abedi, N Azadeh-Fard… - Sensors, 2020 - mdpi.com
Nonspecific low back pain (NSLBP) constitutes a critical health challenge that impacts
millions of people worldwide with devastating health and socioeconomic consequences. In …

Intelligent wearable systems: Opportunities and challenges in health and sports

L Yang, O Amin, B Shihada - ACM Computing Surveys, 2024 - dl.acm.org
Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

Investigating issues and needs of dyslexic students at university: Proof of concept of an artificial intelligence and virtual reality-based supporting platform and …

A Zingoni, J Taborri, V Panetti, S Bonechi… - Applied Sciences, 2021 - mdpi.com
Featured Application The outcomes of this work can represent a turning point toward a more
and more inclusive university environment for dyslexic students, at the same time showing …

Toward using wearables to remotely monitor cognitive frailty in community-living older adults: an observational study

J Razjouyan, B Najafi, M Horstman, A Sharafkhaneh… - Sensors, 2020 - mdpi.com
Physical frailty together with cognitive impairment (Cog), known as cognitive frailty, is
emerging as a strong and independent predictor of cognitive decline over time. We …

A machine learning approach to identify risk factors for running-related injuries: study protocol for a prospective longitudinal cohort trial

AL Rahlf, T Hoenig, J Stürznickel, K Cremans… - BMC sports science …, 2022 - Springer
Background Running is a very popular sport among both recreational and competitive
athletes. However, participating in running is associated with a comparably high risk of …