sEMG Neural Spikes Reconstruction for Gesture Recognition on a Low-Power Multicore Processor.
Mattia OrlandiMarcello ZanghieriVictor Javier Kartsch MorinigoFrancesco ContiPasquale Davide SchiavoneLuca BeniniSimone BenattiPublished in: BioCAS (2022)
Keyphrases
- low power
- gesture recognition
- high speed
- single chip
- gate array
- power consumption
- low cost
- human computer interaction
- hidden markov models
- hand gestures
- spike trains
- cell processor
- hand gesture recognition
- digital signal processing
- neural network
- sign language
- sign language recognition
- spiking neural networks
- human robot interaction
- human machine interface
- logic circuits
- cmos technology
- hand tracking
- low power consumption
- power reduction
- vlsi circuits
- artificial intelligence
- vlsi architecture
- shared memory
- frame rate
- parallel processing
- image sensor
- associative memory
- video camera
- sign recognition