Gait Classification With Gait Inherent Attribute Identification From Ankle’s Kinematics
Author:
Affiliation:
1. Human-Centered Robotics Laboratory, IIT Gandhinagar, Gandhinagar, Gujarat, India
Funder
Department of Science and Technology, India
Prime Minister Research Fellows (PMRF) Fellowship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/9695946/09740695.pdf?arnumber=9740695
Reference48 articles.
1. Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients
2. An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
3. Functional roles of ankle and hip sagittal muscle moments in able-bodied gait
4. Biomechanics of the ankle
5. Machine learning: Trends, perspectives, and prospects
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1. An optimal signal selection method based on feature neighborhood using for human gait mode recognition;Biomedical Signal Processing and Control;2024-07
2. Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM;Communications in Computer and Information Science;2024
3. External Dynamics Dependent Human Gait Adaptation Using a Cable-Driven Exoskeleton;IEEE Robotics and Automation Letters;2023-09
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