A Lightweight and Accurate RNN in Wearable Embedded Systems for Human Activity Recognition.
Laura FalaschettiGiorgio BiagettiPaolo CrippaMichele AlessandriniDi Filippo GiacomoClaudio TurchettiPublished in: KES-IDT (2022)
Keyphrases
- lightweight
- embedded systems
- human activity recognition
- activity recognition
- low cost
- human activities
- resource limited
- embedded software
- embedded devices
- processing power
- nearest neighbor
- real time systems
- field programmable gate array
- recurrent neural networks
- computing power
- action recognition
- embedded real time systems
- wireless sensor networks
- visual surveillance
- software systems
- communication infrastructure
- smart camera
- human computer interaction
- sensor networks
- learning algorithm