Gait analysis in neurological populations: Progression in the use of wearables

Y Celik, S Stuart, WL Woo, A Godfrey - Medical Engineering & Physics, 2021 - Elsevier
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

Type and location of wearable sensors for monitoring falls during static and dynamic tasks in healthy elderly: a review

R Rucco, A Sorriso, M Liparoti, G Ferraioli, P Sorrentino… - Sensors, 2018 - mdpi.com
In recent years, the meaning of successful living has moved from extending lifetime to
improving the quality of aging, mainly in terms of high cognitive and physical functioning …

Human fall detection on embedded platform using depth maps and wireless accelerometer

B Kwolek, M Kepski - Computer methods and programs in biomedicine, 2014 - Elsevier
Since falls are a major public health problem in an aging society, there is considerable
demand for low-cost fall detection systems. One of the main reasons for non-acceptance of …

Fall detection in homes of older adults using the Microsoft Kinect

EE Stone, M Skubic - IEEE journal of biomedical and health …, 2014 - ieeexplore.ieee.org
A method for detecting falls in the homes of older adults using the Microsoft Kinect and a two-
stage fall detection system is presented. The first stage of the detection system characterizes …

From fall detection to fall prevention: A generic classification of fall-related systems

K Chaccour, R Darazi, AH El Hassani… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …

Feature extraction using an RNN autoencoder for skeleton-based abnormal gait recognition

K Jun, DW Lee, K Lee, S Lee, MS Kim - IEEE Access, 2020 - ieeexplore.ieee.org
In skeleton-based abnormal gait recognition, using original skeleton data decreases the
recognition performance because they contain noise and irrelevant information. Instead of …

Inertial sensor-based robust gait analysis in non-hospital settings for neurological disorders

C Tunca, N Pehlivan, N Ak, B Arnrich, G Salur, C Ersoy - Sensors, 2017 - mdpi.com
The gold standards for gait analysis are instrumented walkways and marker-based motion
capture systems, which require costly infrastructure and are only available in hospitals and …

Extracting gait velocity and stride length from surrounding radio signals

CY Hsu, Y Liu, Z Kabelac, R Hristov, D Katabi… - Proceedings of the 2017 …, 2017 - dl.acm.org
Gait velocity and stride length are critical health indicators for older adults. A decade of
medical research shows that they provide a predictor of future falls, hospitalization, and …

GaitWay: Monitoring and recognizing gait speed through the walls

C Wu, F Zhang, Y Hu, KJR Liu - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
Interests in monitoring and recognizing gait have surged significantly over the past decades.
Traditional approaches rely on camera array, floor sensors (eg, pressure mats), or …

Doppler radar for the extraction of biomechanical parameters in gait analysis

AK Seifert, M Grimmer, AM Zoubir - IEEE Journal of Biomedical …, 2020 - ieeexplore.ieee.org
The applicability of Doppler radar for gait analysis is investigated by quantitatively
comparing the measured biomechanical parameters to those obtained using motion …