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A Novel FSVM with PSO for gait phase detection based on elastic pressure sensing insole system
The precise gait phase detection with lightweight equipment under variable conditions is crucial for low limb exoskeleton robots. Therefore, the...
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Detecting Heel Strikes for Gait Analysis Through Higher-Order Motion Flow
In gait analysis, heel strikes are an important and preliminary cue because gait period, step and stride length can be derived accurately by the... -
Highly Compressible and Stretchable Piezoresistive Sensor Based 3D Graphene-Melamine Composite Foam for Gait Motion Detection
High-performance piezoresistive sensors that are stretchable, compressible, and ultralight have fueled significant interest in gait motion detection.... -
Human gait recognition: A systematic review
A biometric system is a technology that utilizes an individual’s unique physiological and behavioral characteristics to identify and authenticate...
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An Autoencoder-Based Feature Extraction Method Applied to the Detection of Lateral Walking Gait Phase
The traditional method of extracting time-domain features is subjective and cumbersome. An autoencoder-based feature extraction method is proposed to... -
Gait recognition based on Orthogonal view feature extraction
Gait is used for personal identification but is sensitive to covariates such as views and walking conditions. To reduce the influence of views on the...
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Estimation of lower extremity parameters for marker-less gait analysis
Human gait analysis is a practical approach in medicine and rehabilitation for determining the effect and progression of neurological diseases that...
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Gait Recognition in Different Terrains with IMUs Based on Attention Mechanism Feature Fusion Method
Gait recognition is significant in the fields of disease diagnosis and rehabilitation training by studying the characteristics of human gait with...
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Different gait combinations based on multi-modal deep CNN architectures
Gait recognition is the process of identifying a person from a distance based on their walking patterns. However, the recognition rate drops...
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A vision-based hybrid ensemble learning approach for classification of gait disorders
Computer vision-based (VB) gait analysis has become the popular platform for detecting Knee Osteoarthritis (KOA) and Parkinson’s disease (PD). The...
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Gait Impairment Assessment Service for Community-Dwelling Older Adults
Older adults want to remain independent with dignity for as long as possible. Gait assessment service plays an essential role in elderly care and... -
Occluded Gait reconstruction in multi person Gait environment using different numerical methods
Gait biometrics have been a topic of profound interest in recent years. To generate the walking trajectory for robots, humans are traced and modelled...
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Automatic gait analysis through computer vision: a pilot study
Kinesiologists who study people's posture during walking depend on spreadsheets and visual posture reviews. Gold-standard evaluation relies on expert...
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Multiple Person Tracking Based on Gait Identification Using Kinect and OpenPose
A gait provides the characteristics of a person’s walking style and hence is classified as personal identifiable information. There have been several... -
A Segmented Dynamic Movement Primitives-Based Gait Assistive Strategy for Soft Ankle Exosuit
The soft exosuit has been proven to improve the pilot’s walking ability and reduce metabolic consumption, yet, its gait assistance strategy still... -
Exploiting skeleton-based gait events with attention-guided residual deep learning model for human identification
Human identification using unobtrusive visual features is a daunting task in smart environments. Gait is among adequate biometric features when the...
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Sensor technology with gait as a diagnostic tool for assessment of Parkinson’s disease: a survey
Parkinson’s Disease (PD) is the most precarious chronic disorder of the human brain affecting millions of people globally. In today’s world of...
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Model-based person identification in multi-gait scenario using hybrid classifier
In recent decades, gait has become an important topic in biometric. Gait attains popularity in human authentication because of its non-cooperation...
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Spatiotemporal heterogeneous information fusion model for loitering anomaly detection
In the field of video surveillance security in public places, loitering anomaly detection plays a crucial role. Currently, the complexity of public...
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Human Gait Abnormality Detection Using Low Cost Sensor Technology
Detection of gait abnormality is becoming a growing concern in different neurological and musculoskeletal patients group including geriatric...