Continuous Kalman Estimation Method for Finger Kinematics Tracking from Surface Electromyography
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Summary
This study introduces a continuous Kalman estimation method, leveraging a system model with sEMG and joint angles as inputs and outputs, and deduces multiple DOF finger kinematics simultaneously.
- Type
- article
- Published
- 2024-01-12
- Cited by
- 10
- References
- 21
- Access
- Open access
- OpenAlex
- https://openalex.org/W4390825416
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:267014885
Keywords
Kalman filter, Kinematics, Electromyography, Tracking (education), Computer science
References
- Inferring Hand Motion from Multi-Cell Recordings in Motor Cortex using a Kalman Filter
- Characterization of a Benchmark Database for Myoelectric Movement Classification
- Continuous estimation of finger joint angles using muscle activation inputs from surface EMG signals
- Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees
- Continuous and simultaneous estimation of finger kinematics using inputs from an EMG-to-muscle activation model
- Kalman Filter and Its Application
- Simultaneous and Continuous Estimation of Shoulder and Elbow Kinematics from Surface EMG Signals
- EMG-Based Continuous and Simultaneous Estimation of Arm Kinematics in Able-Bodied Individuals and Stroke Survivors
- Decoding Arm Kinematics from EMG Signals Using Kalman Filter
- Spatial Information Enhances Myoelectric Control Performance With Only Two Channels
- Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects
- An EEG/EMG/EOG-Based Multimodal Human-Machine Interface to Real-Time Control of a Soft Robot Hand
- Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder
- Intuitive Neuromyoelectric Control of a Dexterous Bionic Arm Using a Modified Kalman Filter
- Long exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals
- Deep Learning for EMG-based Human-Machine Interaction: A Review
- A Bi-Directional LSTM Network for Estimating Continuous Upper Limb Movement From Surface Electromyography
- A CNN-Attention Network for Continuous Estimation of Finger Kinematics from Surface Electromyography
- Active Human-Following Control of an Exoskeleton Robot With Body Weight Support
- Trace Finger Kinematics from Surface Electromyography by Using Kalman Decoding Method
Cited by
- MyoGPT: Augmenting and segmenting spatial muscle activation patterns in forearm using generative Pre-Trained Transformers
- Tracking Method for Alpine Skiing Based on Hybrid Deep Learning and Evolutionary Chimp Optimization Algorithm
- Unmanned Aerial Vehicle for Multi-target Tracking Using Pursuit-Evasion Game Model and Deep Reinforcement Learning
- A Novel Bio-inspired Optimised Algorithm with Deep Learning in the Pursuit-Evasion Framework for Task Assessment
- Synergy-Based Machine Learning for Simultaneous Proportional Control of Prosthetic Hands: Dataset Design and Validation
- Analysis of the effect of the regulating parameters in recurrent deep neural networks on the regression of finger joint angles
- FESNet: A Fine-Grained EMG Segmentation Network for Enhanced Finger Movement Analysis
- A Comprehensive Analysis of Human–Machine Interaction: Teaching Pendant vs. Gesture Control in Industrial Robotics
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