Gait analysis using wearable sensors
W Tao, T Liu, R Zheng, H Feng - Sensors, 2012 - mdpi.com
Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of
providing useful information for multiple health-related applications. As a clinical tool applied …
providing useful information for multiple health-related applications. As a clinical tool applied …
Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
Human gait provides a way of locomotion by combined efforts of the brain, nerves, and
muscles. Conventionally, the human gait has been considered subjectively through visual …
muscles. Conventionally, the human gait has been considered subjectively through visual …
Analysis of big data in gait biomechanics: Current trends and future directions
The increasing amount of data in biomechanics research has greatly increased the
importance of developing advanced multivariate analysis and machine learning techniques …
importance of developing advanced multivariate analysis and machine learning techniques …
Automatic recognition of gait patterns in human motor disorders using machine learning: A review
Background automatic recognition of human movement is an effective strategy to assess
abnormal gait patterns. Machine learning approaches are mainly applied due to their ability …
abnormal gait patterns. Machine learning approaches are mainly applied due to their ability …
Recent use of deep learning techniques in clinical applications based on gait: a survey
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …
and medicine. In particular, clinical gait analysis has played a significant role in improving …
Comparison among probabilistic neural network, support vector machine and logistic regression for evaluating the effect of subthalamic stimulation in Parkinson …
Deep brain stimulation of the subthalamic nucleus (DBS-STN) is an approved treatment for
advanced Parkinson disease (PD) patients; however, there is a need to further evaluate its …
advanced Parkinson disease (PD) patients; however, there is a need to further evaluate its …
Quantitative mobility assessment for fall risk prediction in dementia: a systematic review
E Dolatabadi, K Van Ooteghem, B Taati… - Dementia and geriatric …, 2018 - karger.com
Background: Impairments of gait and balance often progress through the course of
dementia, and are associated with increased risk of falls. Summary: This systematic review …
dementia, and are associated with increased risk of falls. Summary: This systematic review …
Prediction of gait trajectories based on the Long Short Term Memory neural networks
The forecasting of lower limb trajectories can improve the operation of assistive devices and
minimise the risk of tripping and balance loss. The aim of this work was to examine four …
minimise the risk of tripping and balance loss. The aim of this work was to examine four …
A comparative study in kernel-based support vector machine of oil palm leaves nutrient disease
HM Asraf, MT Nooritawati, MSBS Rizam - Procedia Engineering, 2012 - Elsevier
Investigation of the nutrient disease in oil palm motivates the need for a programmed
detection system. Automated detection using vision system and pattern recognition are …
detection system. Automated detection using vision system and pattern recognition are …
Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions
The EmoPain 2020 Challenge is the first international competition aimed at creating a
uniform platform for the comparison of multi-modal machine learning and multimedia …
uniform platform for the comparison of multi-modal machine learning and multimedia …