sEMG-Based Gesture Recognition with Spiking Neural Networks on Low-Power FPGA.
Matteo Antonio ScrugliGianluca LeonePaola BusiaPaolo MeloniPublished in: DASIP (2024)
Keyphrases
- gesture recognition
- low power
- spiking neural networks
- high speed
- low power consumption
- single chip
- gate array
- low cost
- biologically inspired
- power reduction
- power consumption
- human computer interaction
- artificial neural networks
- feed forward
- learning rules
- digital signal processing
- hidden markov models
- hand gestures
- biologically plausible
- training algorithm
- logic circuits
- sign language
- neural network
- motor control
- field programmable gate array
- real time
- back propagation
- digital camera
- mixed signal
- visual cortex
- hardware implementation
- embedded systems
- expert systems
- radial basis function