Wearable inertial sensors for human motion analysis: A review
IH Lopez-Nava, A Munoz-Melendez - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
This paper reviews the research literature on human motion analysis using inertial sensors
with the aim to find out: which configuration of sensors have been used to measure human …
with the aim to find out: which configuration of sensors have been used to measure human …
Validity and reliability of wearable inertial sensors in healthy adult walking: A systematic review and meta-analysis
Abstract Background Inertial measurement units (IMUs) offer the ability to measure walking
gait through a variety of biomechanical outcomes (eg, spatiotemporal, kinematics, other) …
gait through a variety of biomechanical outcomes (eg, spatiotemporal, kinematics, other) …
Inertial sensor-based robust gait analysis in non-hospital settings for neurological disorders
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 …
capture systems, which require costly infrastructure and are only available in hospitals and …
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 …
Vision-based gait impairment analysis for aided diagnosis
J Ortells, MT Herrero-Ezquerro… - Medical & biological …, 2018 - Springer
Gait is a firsthand reflection of health condition. This belief has inspired recent research
efforts to automate the analysis of pathological gait, in order to assist physicians in decision …
efforts to automate the analysis of pathological gait, in order to assist physicians in decision …
MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors
Movement disorders, such as Parkinson's disease, affect more than 10 million people
worldwide. Gait analysis is a critical step in the diagnosis and rehabilitation of these …
worldwide. Gait analysis is a critical step in the diagnosis and rehabilitation of these …
Assisted gait phase estimation through an embedded depth camera using modified random forest algorithm classification
The paper presents a novel method for the classification of gait phases for power gait
orthosis users based on machine learning. The classification uses depth images collected …
orthosis users based on machine learning. The classification uses depth images collected …
Human fall detection and activity monitoring: a comparative analysis of vision-based methods for classification and detection techniques
Fall detection (FD) system tends to monitor the fall events with restricted movement patterns
and provides alerts to detect actions and corresponds to human falls. Based on high-level …
and provides alerts to detect actions and corresponds to human falls. Based on high-level …
[HTML][HTML] Classification of parkinson's disease patients—a deep learning strategy
(1) Background and objectives: Parkinson's disease (PD) is one of the most prevalent
neurodegenerative diseases whose typical symptoms include bradykinesia, abnormal gait …
neurodegenerative diseases whose typical symptoms include bradykinesia, abnormal gait …
Multi-set canonical correlation analysis for 3D abnormal gait behaviour recognition based on virtual sample generation
J Luo, T Tjahjadi - IEEE Access, 2020 - ieeexplore.ieee.org
Small sample dataset and two-dimensional (2D) approach are challenges to vision-based
abnormal gait behaviour recognition (AGBR). The lack of three-dimensional (3D) structure of …
abnormal gait behaviour recognition (AGBR). The lack of three-dimensional (3D) structure of …