sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller.
Marcello ZanghieriSimone BenattiAlessio BurrelloVictor Javier Kartsch MorinigoRoberto MeattiniGianluca PalliClaudio MelchiorriLuca BeniniPublished in: COINS (2021)
Keyphrases
- low power
- low cost
- single chip
- power consumption
- high speed
- high power
- logic circuits
- edge detection
- vlsi architecture
- wireless transmission
- low power consumption
- design considerations
- gate array
- vlsi circuits
- cmos technology
- digital signal processing
- hardware and software
- control system
- signal processor
- real time
- network structure