PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal.
Ankit VijayvargiyaRajesh KumarParul SharmaPublished in: IEEE Trans. Hum. Mach. Syst. (2023)
Keyphrases
- human activities
- neural network
- human activity recognition
- pattern recognition
- motion history images
- activity recognition
- signal processing
- recognition accuracy
- activity analysis
- object recognition
- action recognition
- fuzzy logic
- upper body
- neural network model
- recognition rate
- graph model
- graph matching
- directed graph
- feature extraction
- social networks
- artificial neural networks
- self organizing maps
- human subjects
- graph structure
- weighted graph
- graph representation
- genetic algorithm
- directed acyclic graph
- graph theory
- bipartite graph
- multilayer perceptron
- personal computer
- static images
- noisy environments
- connected components
- d objects
- structured data
- control signals
- human computer interaction