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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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NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly...
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MCDGait: multimodal co-learning distillation network with spatial-temporal graph reasoning for gait recognition in the wild
Gait recognition in the wild has attracted the attention of the academic community. However, existing unimodal algorithms cannot achieve the same...
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Self-Supervised Learning of Gait-Based Biomarkers
Markerless motion capture (MMC) is revolutionizing gait analysis in clinical settings by making it more accessible, raising the question of how to...
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Visual gait recognition based on convolutional block attention network
Gait recognition has many advantages, such as non-invasive and easy to recognize from a long distance. It has a broad application prospect in the...
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A multi-modal dataset for gait recognition under occlusion
Gait recognition aims to identify people by the way they walk. Currently available gait recognition datasets mainly contain single-person gait data...
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DFGait: Decomposition Fusion Representation Learning for Multimodal Gait Recognition
Multimodal gait recognition aims to utilize various gait modalities for identity recognition. Previous methods have focused on designing complex...
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Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM
Anomaly detection and fall prevention represent one of the key research areas within gait analysis for patients suffering from neurological...
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GaitCTCG: cross-view gait recognition via cascaded residual temporal shift and comprehensive multi-granularity learning
Gait is one of the most popular biometrics for identity authentication today due to its noninvasive perception. Diverse spatial representations and...
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Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning
Cervical spondylotic myelopathy (CSM) is the main cause of cervical spinal cord dysfunction in adults, especially in middle-aged and elderly...
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Markerless gait estimation and tracking for postural assessment
Postural assessment is crucial in the sports screening system to reduce the risk of severe injury. The capture of the athlete’s posture using...
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Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review
This paper presents a comprehensive exposition of deep learning architectures and pipelines for biometric applications using complex characteristics...
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A real-time multi view gait-based automatic gender classification system using kinect sensor
Gender classification plays an important role in many applications such as security and medical applications. Human gender can be classified using...
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Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy
In the cervical region of middle-aged and elderly patients, cervical spondylotic myelopathy (CSM) is frequently recognized as the primary factor that...
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Design and Development of Walking Monitoring System for Gait Analysis
Athletes, coaches and physical therapists are interested in learning how different running styles affect the muscles and forces as well as the gait...
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Fast terminal sliding mode control with rapid reaching law for a pediatric gait exoskeleton system
The parametric variations and external perturbations in the coupled subject-exoskeleton system delay and hinder effective gait tracking in clinical...
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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...
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Video-Based Gait Analysis for Spinal Deformity
In this paper, we explore the area of classifying spinal deformities unintrusively using machine learning and RGB cameras. We postulate that any...
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Towards Better Gait Predictions: Sensor-Based Detection of Flexion and Extension of Human Lower Limb Joints During Walking
Lower limb joint kinetics and dynamics are necessary for the efficiency of walking. As the gait behavior changes, lower body joints like lumbar, knee...
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Detection and Analysis of Gait Impairments in Lower Back Pain (LBP) Patients Using Image Processing Techniques
Every person has a unique gait, which is the pattern of individuals walking. Doctors can explore health conditions of an individual by studying...