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Dynamic Modeling Of Parkinsonian Gait Using Latent Biomarkers
Parkinson's Disease (PD) Affects Gait Dynamics, And Hence, Objective Analysis Is Required For Accurate Diagnosis. In This Regard, This Manuscript Proposes A Deep Learning Framework For Modeling Parkinsonian Gait Using Vertical Ground Reacti...
AI-Powered Gait Analysis For Early Detection Of Mental Stress Using Mobile Video
In Recent Years, Mental Stress Has Become A Growing Concern Due To Its Impact On Both Physical Health And Daily Performance. Traditional Methods Of Detecting Stress Often Rely On Physiological Sensors Or Self-reported Assessments, Which Can...
AN ENERGY EFFICIENT ADAPTIVE SENSING FRAMEWORK FOR GAIT MONITORING USING SMART INSOLE
Gait Analysis Is Crucial For Understanding Human Motion, And Longitudinal Gait Analysis Has Gained Significant Attention In Medical And Healthcare Domains. However, Existing Wearable Gait Devices Face A Major Challenge: Limited Battery Life...
AN OVERVIEW: DEEP LEARNING FOR GAIT RECOGNITION
After A Quick Discussion Of The Key Human Gait Metrics, The State-of-the-art In Deep Learning For Human Gait Analysis Is Covered In Detail. According To The Sensing Technology, The Gait Data Collection Methods Are Divided Into Three Categor...