Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation

arXiv:2204.02179 · cs.NE, cs.AI · Submitted 2022-04-02 · Read on arXiv

cs.NE, cs.AI

Submitted: 2022-04-02

Updated: 2023-05-22

Terminology

• Accuracy — 31× in this paper · explained in 1 episode
• False Negative — 20× in this paper
• Multi-objective Optimization — 20× in this paper · explained in 4 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Objective Function — 5× in this paper · explained in 2 episodes
• Energy Efficiency — 4× in this paper · explained in 3 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Human-Computer Interaction — 1× in this paper
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• IEEE International Symposium on Smart Electronic Systems — 1× in this paper
• Multi-Objective Optimization Genetic Algorithm — 1× in this paper
• Quadratic Programming (QP) — 1× in this paper · explained in 2 episodes

Related papers

• Evolutionary Ensemble of Agents
• Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
• Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems
• Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
• Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach
• S-AI-Recursive: A Bio-Inspired and Temporal Sparse AI Architecture for Iterative, Introspective, and Energy-Frugal Reasoning