Evaluation of human standing balance using wearable inertial sensors: a machine learning approach

E Lattanzi, V Freschi - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
According to recent studies, mobility and balance problems represent a risk factor for elderly
people, resulting into augmented fall probabilities with negative impact on medical, social …

Wearable inertial sensors to assess standing balance: A systematic review

M Ghislieri, L Gastaldi, S Pastorelli, S Tadano… - Sensors, 2019 - mdpi.com
Wearable sensors are de facto revolutionizing the assessment of standing balance. The aim
of this work is to review the state-of-the-art literature that adopts this new posturographic …

Exploration of machine learning to identify community dwelling older adults with balance dysfunction using short duration accelerometer data

Y Hu, A Bishnoi, R Kaur, R Sowers… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
The incidence of fall-related injuries in older adults is high. Given the significant and adverse
outcomes that arise from injurious falls in older adults, it is of the utmost importance to …

A wearable device to assess postural sway

V Agostini, E Aiello, D Fortunato… - 2019 IEEE 23rd …, 2019 - ieeexplore.ieee.org
The maintenance of balance in upright stance is traditionally evaluated using heavy and
expensive force platforms. The aim of this work is to prove the usefulness of a low-cost …

Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines

O Aziz, EJ Park, G Mori… - … Conference of the IEEE …, 2012 - ieeexplore.ieee.org
Falls are the number one cause of injury in older adults. An individual's risk for falls depends
on his or her frequency of imbalance episodes, and ability to recover balance following …

Human postures recognition by accelerometer sensor and ML architecture integrated in embedded platforms: Benchmarking and performance evaluation

A Leone, G Rescio, A Caroppo, P Siciliano, A Manni - Sensors, 2023 - mdpi.com
Embedded hardware systems, such as wearable devices, are widely used for health status
monitoring of ageing people to improve their well-being. In this context, it becomes …

Supervised Expert System for Wearable MEMS Accelerometer‐Based Fall Detector

G Rescio, A Leone, P Siciliano - Journal of Sensors, 2013 - Wiley Online Library
Falling is one of the main causes of trauma, disability, and death among older people.
Inertial sensors‐based devices are able to detect falls in controlled environments. Often this …

Machine learning based detection of compensatory balance responses to lateral perturbation using wearable sensors

M Nouredanesh, J Tung - 2015 IEEE Biomedical Circuits and …, 2015 - ieeexplore.ieee.org
Loss of balance is prevalent in the older population and also in people who have mobility
impairment. The primary aim of the present paper is to develop an efficient classifier to …

A low-cost wireless system of inertial sensors to postural analysis during human movement

TMO Santos, MFS Barroso, RA Ricco… - Measurement, 2019 - Elsevier
The dynamics of the human body has generated considerable recent research interest
among scientist devoted to reducing the number of injuries and for performance …

Coherence and reliability of a wearable inertial measurement unit for measuring postural sway

E Ekvall Hansson, Å Tornberg - BMC Research Notes, 2019 - Springer
Objective The aim of this study was to test the coherence of a wearable device, an inertial
measurement unit (IMU) against the gold standard; also, to test the intra-trial reliability. This …