Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference.
Chen XieAlessio BurrelloFrancesco DagheroLuca BeniniAndrea CalimeraEnrico MaciiMassimo PoncinoDaniele Jahier PagliariPublished in: Sensors (2023)
Keyphrases
- energy consumption
- gesture recognition
- wireless sensor networks
- energy saving
- energy efficient
- energy efficiency
- sensor networks
- human computer interaction
- routing protocol
- energy conservation
- data transmission
- hidden markov models
- human robot interaction
- sign language
- hand gesture recognition
- base station
- sign language recognition
- hand gestures
- data center
- routing algorithm
- save energy
- multi hop
- greenhouse gas emissions
- energy aware
- human machine interface
- power management
- sensor nodes
- hand tracking
- residual energy
- electricity consumption
- power consumption
- total energy
- user interface
- video sequences
- environmental impact
- data sets