Automatic real-time gait event detection in children using deep neural networks

Ł Kidziński, S Delp, M Schwartz - PloS one, 2019 - journals.plos.org
Annotation of foot-contact and foot-off events is the initial step in post-processing for most
quantitative gait analysis workflows. If clean force plate strikes are present, the events can …

A new deep learning-based method for the detection of gait events in children with gait disorders: Proof-of-concept and concurrent validity

M Lempereur, F Rousseau, O Rémy-Néris, C Pons… - Journal of …, 2020 - Elsevier
The stance and swing phases of the gait cycle are defined by foot strike (FS) and foot off
(FO). Accurate determination of these events is thus an essential component of 3D motion …

Automated accelerometer-based gait event detection during multiple running conditions

LC Benson, CA Clermont, R Watari, T Exley, R Ferber - Sensors, 2019 - mdpi.com
The identification of the initial contact (IC) and toe off (TO) events are crucial components of
running gait analyses. To evaluate running gait in real-world settings, robust gait event …

Gait event detection using a multilayer neural network

A Miller - Gait & posture, 2009 - Elsevier
Manual detection of gait events via visual inspection of motion capture data is a laborious
process. There are currently no robust techniques available to automate the process for …

Automated event detection algorithms in pathological gait

DA Bruening, ST Ridge - Gait & posture, 2014 - Elsevier
Accurate automated event detection is important in increasing the efficiency and utility of
instrumented gait analysis. Published automated event detection algorithms, however, have …

Gait event detection in real-world environment for long-term applications: Incorporating domain knowledge into time-frequency analysis

S Khandelwal, N Wickström - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
Detecting gait events is the key to many gait analysis applications that would benefit from
continuous monitoring or long-term analysis. Most gait event detection algorithms using …

An evaluation of three kinematic methods for gait event detection compared to the kinetic-based 'gold standard'

N Zahradka, K Verma, A Behboodi, B Bodt, H Wright… - Sensors, 2020 - mdpi.com
Video-and sensor-based gait analysis systems are rapidly emerging for use in 'real
world'scenarios outside of typical instrumented motion analysis laboratories. Unlike …

Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system

RM Kanko, EK Laende, G Strutzenberger… - Journal of …, 2021 - Elsevier
Spatiotemporal parameters can characterize the gait patterns of individuals, allowing
assessment of their health status and detection of clinically meaningful changes in their gait …

Evaluation of the performance of accelerometer-based gait event detection algorithms in different real-world scenarios using the MAREA gait database

S Khandelwal, N Wickström - Gait & posture, 2017 - Elsevier
Numerous gait event detection (GED) algorithms have been developed using
accelerometers as they allow the possibility of long-term gait analysis in everyday life …

Time series classification using a modified LSTM approach from accelerometer-based data: A comparative study for gait cycle detection

HX Tan, NN Aung, J Tian, MCH Chua, YO Yang - Gait & posture, 2019 - Elsevier
Background Gait event detection (GED) is an important aspect in identifying and interpret a
user's gait to assess gait abnormalities and design intelligent assistive devices. Research …